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Quantitative Research Methods

A Selected Bibliography


The University of Texas at Arlington Libraries Bibliography Series
John James Dillard, MA.MS.; Social Work and Social Sciences Librarian
Email: dillard@uta.edu - - - - Office phone:


This bibliography offers selected research resources about statistical, numeric, and mathematical research methods and related topics. The selections listed below might aid students in criminology and criminal justice, social work, sociology, and other social science courses as they attempt to understand the complex issues resulting to the collection and analysis of numerical information.

On the bibliography below, quickly locate topics of interest using Ctrl-F to find a word or phrase; please contact me, John James Dillard, to learn this type of quick and easy search. The free Adobe Acrobat Reader is needed to view and print some of these items.


Reference Books - - Academic Books and Book Chapters


Reference Books

The UT Arlington Libraries has several reference books that deal with statistical and quantitative research issues, and if you do not see anything useful on this short selected list of five reference works, then searching the UT Arlington Libraries's online catalog, PULSe <pulse.uta.edu> might be a useful research strategy. Researchers can ask questions at the Service Desk on the 1st floor of the UT Arlington Central Library, or email me at: <dillard@uta.edu>.

Encyclopedia of Measurement and Statistics.
Edited by Neil J. Salkind and Kristin Rasmussen.
Encyclopedia of Measurement and Statistics cover image Thousand Oaks, CA: SAGE Publications, 2007.
Note: 3 Volumes.
"The study of measurement and statistics can be less than inviting. However, in fields as varying as education, politics, and health care, assessment and the use of measurement and statistics have become integral parts of almost every activity undertaken. These activities require the organization of ideas, the generation of hypotheses, the collection of data, and the interpretation, illustration, and analysis of data. No matter where educated people look, this critical analysis is more important than ever in an age where information--and lots of it--is readily available.
The Encyclopedia of Measurement and Statistics presents state-of-the-art information and ready-to-use facts from the fields of measurement and statistics in an unintimidating style. The ideas and tools contained in these pages are approachable and can be invaluable for understanding our very technical world and the increasing flow of information. Although there are references that cover statistics and assessment in depth, none provides as comprehensive a resource in as focused and accessible a manner as the two volumes of this encyclopedia. Through approximately 500 contributions, experts provide an overview and an explanation of the major topics in these two areas." (publisher's description)
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Encyclopedia of Social Measurement.
Edited by Kimberly Kempf-Leonard.
Encyclopedia of Social Measurement cover image Oxford, England: Elsevier / Academic, 2005.
Note: 3 Volumes.
"The Encyclopedia of Social Measurement captures the data, techniques, theories, designs, applications, histories, and implications of assigning numerical values to social phenomena. Responding to growing demands for transdisciplinary descriptions of quantitative and qualitative techniques, measurement, sampling, and statistical methods, it will increase the proficiency of everyone who gathers and analyzes data.
Covering all core social science disciplines, the 300+ articles of the Encyclopedia of Social Measurement not only present a comprehensive summary of observational frameworks and mathematical models, but also offer tools, background information, qualitative methods, and guidelines for structuring the research process. Articles include examples and applications of research strategies and techniques, highlighting multidisciplinary options for observing social phenomena. The alphabetical arrangement of the articles, their glossaries and cross-references, and the volumes' detailed index will encourage exploration across the social sciences. Descriptions of important data sets and case studies will help readers understand resources they can often instantly access." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .E53 2005

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Encyclopedia of Statistical Sciences, 2nd edition.
Encyclopedia of Statistical Sciences cover image Edited by Samuel Kotz, N. Balakrishnan, Campbell Read, and Brani Vidakovic.
Hoboken, NJ: Wiley-Interscience, ©2006.
Note: 16 Volumes.
"Countless professionals and students who use statistics in their work rely on the multi-volume Encyclopedia of Statistical Sciences as a superior and unique source of information on statistical theory, methods, and applications. This new edition (available in both print and on-line versions) is designed to bring the encyclopedia in line with the latest topics and advances made in statistical science over the past decade--in areas such as computer-intensive statistical methodology, genetics, medicine, the environment, and other applications. Written by over 600 world-renowned experts (including the editors), the entries are self-contained and easily understood by readers with a limited statistical background...." (publisher's description)
UT Arlington - Science & Engineering Library: Reference (non-circ.)
- - QA 276.14 .E5 2006

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The SAGE Dictionary of Social Research Methods.
Edited by Victor Jupp.
The SAGE Dictionary of Social Research Methods cover image London, England; Thousand Oaks, CA: SAGE Publications, 2006.
"Bringing together the work of over eighty leading academics and researchers worldwide to produce the definitive reference and research tool for the social sciences, The SAGE Dictionary of Social Research Methods contains more than 230 entries providing the widest coverage of the all the main terms in the research process. It encompasses philosophies of science, research paradigms and designs, specific aspects of data collection, practical issues to be addressed when carrying out research, and the role of research in terms of function and context.
Each entry includes a concise definition of the concept; a description of distinctive features including historical and disciplinary backgrounds, key writers, and applications; a critical and reflective evaluation of the concept under consideration; cross references to associated concepts within the dictionary; and a list of key readings.
Written in a lively style, The SAGE Dictionary of Social Research Methods is an essential study guide for students and first-time researchers. It is a primary source of reference for advanced study, a necessary supplement to established textbooks, and a state-of-the-art reference guide to the specialized language of research across the social sciences." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .S274 2006

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Sage Encyclopedia of Social Science Research Methods.
Sage Encyclopedia of Social Science Research Methods cover image Edited by Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao.
Thousand Oaks, CA: Sage, ©2004.
"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major concepts, surveys, and methodologies." ("Reference that rocks," book review from American Libraries, May 2005)
UT Arlington - Central Library, Floor 4
- - H 62 .S34 2004

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Academic Books and Book Chapters

The UT Arlington Libraries has many books that deal with statistical and quantitative research topics, and if you do not see anything useful on this selected list, then searching the UT Arlington Libraries's online catalog, PULSe <pulse.uta.edu> might be a useful research strategy. Researchers can ask questions at the Service Desk on the 1st floor of the UT Arlington Central Library, or email me at: <dillard@uta.edu>.

^TOP^
Agent-Based Models.
By Nigel G. Gilbert.
Los Angeles, CA: Sage Publications, ©2008.
Series: Quantitative Applications in the Social Sciences; 153.
Agent-Based Models cover image "Agent-based modeling (ABM) is a technique increasingly used in a broad range of social sciences. It involves building a computational model consisting of "agents," each of which represents an actor in the social world, and an "environment" in which the agents act. Agents are able to interact with each other and are programmed to be pro-active, autonomous and able to perceive their virtual world. The techniques of ABM are derived from artificial intelligence and computer science, but are now being developed independently in research centers throughout the world. In Agent-Based Models, Nigel Gilbert reviews a range of examples of agent-based modeling, describes how to design and build your own models, and considers practical issues such as verification, validation, planning a modeling project, and how to structure a scholarly article reporting the results of agent-based modeling. It includes a glossary, an annotated list of resources, advice on which programming environment to use when creating agent-based models, and a worked, step-by-step example of the development of an ABM. This latest volume in the SAGE Quantitative Applications in the Social Sciences series will have wide appeal in the social sciences, including the disciplines of sociology, economics, social psychology, geography, economic history, science studies, and environmental studies. It is appropriate for graduate students, researchers and academics in these fields, for both those wanting to keep up with new developments in their fields and those who are considering using ABM for their research." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .G527 2008

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Applied Logistic Regression Analysis, 2nd edition.
Applied Logistic Regression Analysis cover image By Scott W. Menard.
Thousand Oaks, CA: Sage Publications, ©2002.
Series: Quantitative Applications in the Social Sciences; 106
"The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included. [The book also includes:] More detailed consideration of grouped as opposed to case-wise data throughout the book; Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency; Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data; Updated coverage of unordered and ordered polytomous logistic regression models." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 278.2 .M46 2002

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Analysis of Multivariate Social Science Data, 2nd edition.
By David J. Bartholomew, Fiona Steele, Irini Moustaki, and Jane Galbraith.
Analysis of Multivariate Social Science Data cover image Boca Raton, FL: CRC Press, ©2008.
Series: Statistics in the Social and Behavioral Sciences Series.
"Drawing on the authors' varied experiences working and teaching in the field, Analysis of Multivariate Social Science Data, Second Editionenables a basic understanding of how to use key multivariate methods in the social sciences. With updates in every chapter, this edition expands its topics to include regression analysis, confirmatory factor analysis, structural equation models, and multilevel models.
After emphasizing the summarization of data in the first several chapters, the authors focus on regression analysis. This chapter provides a link between the two halves of the book, signaling the move from descriptive to inferential methods and from interdependence to dependence. The remainder of the text deals with model-based methods that primarily make inferences about processes that generate data.
Relying heavily on numerical examples, the authors provide insight into the purpose and working of the methods as well as the interpretation of data. Many of the same examples are used throughout to illustrate connections between the methods. In most chapters, the authors present suggestions for further work that go beyond conventional exercises, encouraging readers to explore new ground in social science research.
Requiring minimal mathematical and statistical knowledge, this book shows how various multivariate methods reveal different aspects of data and thus help answer substantive research questions." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .A5824 2008

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Analytical Sociology: Actions and Networks.
Analytical Sociology: Actions and Networks cover image Edited by Gianluca Manzo.
Chichester, England: Wiley, 2014.
Series: Wiley Series in Computational and Quantitative Social Science.
"Analytical Sociology: Actions and Networks presents the most advanced theoretical discussion of analytical sociology, along with a unique set of examples on mechanism-based sociology. Leading scholars apply the theoretical principles of analytical sociology to understand how puzzling social and historical phenomena including crime, lynching, witch-hunts, tax behaviours, Web-based social movement and communication, restaurant reputation, job search and careers, social network homophily and instability, cooperation and trust are brought about by complex, multi-layered social mechanisms. The analyses presented in this book rely on a wide range of methods which include qualitative observations, advanced statistical techniques, complex network tools, refined simulation methods and creative experimental protocols.
This book ultimately demonstrates that sociology, like any other science, is at its best when it dissects the mechanisms at work by means of rigorous model building and testing." - (publisher's description)
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Analyzing Complex Survey Data, 2nd edition.
Analyzing Complex Survey Data cover image By Eun Sul Lee and Ronald N. Forthofer.
Thousand Oaks, CA: Sage Publications, ©2006.
Series: Quantitative Applications in the Social Sciences; 71.
"This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. This new edition incorporates recent practice of analyzing complex survey data, introduces the new analytic approach for categorical data analysis (logistic regression), reviews new software and provides an introduction to the model-based analysis that can be useful analyzing well-designed, relatively small-scale social surveys." (publisher's description)
UT Arlington - Central Library, Floor 4
- - QA 276 .L3394 2006

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Analyzing Media Messages: Using Quantitative Content Analysis in Research, 3rd edition.
Analyzing Media Messages: Using Quantitative Content Analysis in Research cover image By Daniel Riffe, Stephen Lacy, and Frederick Fico.
New York, NY: Routledge, 2014.
Series: Routledge Communication Series.
"Analyzing Media Messages is a primer for learning the technique of systematic, quantitative analysis of communication content. Rich with examples of recent and classic applications, it provides solutions to problems encountered in conducting content analysis, and it is written so that students can readily understand and apply the techniques." - (publisher's description)
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ANOVA: Repeated Measures.
By Ellen R. Girden.
Newbury Park, CA: Sage Publications, ©1992.
Series: Quantitative Applications in the Social Sciences; 84.
UT Arlington - Central Library, Floor 4
- - HA 29 .G567 1992

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Basic Concepts of Probability and Statistics in the Law.
By Michael O. Finkelstein.
New York, NY: Springer, ©2009.
"This book sets out basic statistical tools as they have been applied in actual legal disputes. Examples range over diverse fields of law, such as identification evidence, mass torts, securities law, environmental regulation, and capital punishment, among many others. In some notable cases, such as the U.S. Supreme Court's decision in Bush v. Gore, the book explores aspects of the statistical evidence that were unrecognized or misconceived by the parties or the court. For the statistics student, the book will give a deeper appreciation of foundation concepts and provide a wealth of real life applications. For the lawyer, or law student, the book will introduce a subject that has become increasingly important both in litigation and in studies of the legal system. The book is self-contained and may be read without background in probability or statistics." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 276.12 .F559 2009

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Bayesian Approach to Interpreting Archaeological Data.
By Caitlin E. Buck, William G. Cavanagh, and Clifford D. Litton.
Chichester, England: Wiley, 1996.
Series: Statistics in Practice.
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Bayesian Methods: A Social and Behavioral Sciences Approach, 2nd edition.
Bayesian Methods: A Social and Behavioral Sciences Approach cover image By Jeff Gill.
Boca Raton, FL: Chapman & Hall/CRC, ©2008.
Series: Statistics in the Social and Behavioral Sciences Series.
"Requiring only a background in introductory statistics, calculus, and matrix algebra, Bayesian Methods: A Social and Behavioral Sciences Approach provides detailed explanations of derivations and theories using a computationally oriented approach. This second edition features new updates on topics such as Markov chain Monte Carlo (MCMC) algorithms, perfect sampling, and Bayesian nonparametrics. The author emphasizes the R computing environment as well as the Bugs simulation program. With various examples and exercise problems, this text remains an ideal resource for statisticians and is especially designed to help political and social scientists develop a tool chest for statistical analysis." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 279.5 .G55 2008

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Becoming a Behavioral Science Researcher: A Guide to Producing Research that Matters.
Becoming a Behavioral Science Researcher: A Guide to Producing Research that Matters cover image By Rex B. Kline.
New York, NY: Guilford Press, ©2009.
"Students and beginning researchers often discover that their introductory statistics and methods courses have not fully equipped them to plan and execute their own behavioral research studies. This indispensable book bridges the gap between coursework and conducting independent research. With clarity and wit, the author helps the reader build needed skills to formulate a precise, meaningful research question; understand the pros and cons of widely used research designs and analysis options; correctly interpret the outcomes of statistical tests; make informed measurement choices for a particular study; manage the practical aspects of data screening and preparation; and craft effective journal articles, oral presentations, and posters. Including annotated examples and recommended readings, most chapters feature theoretical and computer-based exercises; an answer appendix at the back of the book allows readers to check their work." (publisher's description)
UT Arlington - Central Library, Floor 4
- - BF 76.5 .K54 2009

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Causality and Causal Modelling in the Social Sciences: Measuring Variations.
By Federica Russo and edited by Daniel Courgeau and Robert Franck.
Dordrecht, The Netherlands: Springer Science + Business Media B.V, 2008.
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Clinical Assessment for Social Workers: Quantitative and Qualitative Methods, Fourth edition.
Clinical Assessment for Social Workers: Quantitative and Qualitative Methods cover image Edited by Catheleen Jordan and Cynthia Franklin.
Chicago, Illinois: Lyceum Books, Inc., 2016.
"Introduces readers to the foundations of assessment and illustrates the use of various assessment methods with children, adolescents, families, multicultural clients, and multistressed clients. The new edition explores the difference between diagnosis and assessment, with a critique of the strengths and weaknesses of the DSM-5. The authors have also included a number of measures available in the public domain for the use of students and clinicians." (publisher's description)
UT Arlington - Central Library, 5th Floor
- - RC 469 .J67 2016

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Cohort Analysis, 2nd edition.
Cohort Analysis cover image By Norval D. Glenn.
Thousand Oaks, CA: Sage Publications, ©2005.
Series: Quantitative Applications in the Social Sciences; 5.
"Cohort Analysis, Second Edition covers the basics of the cohort approach to studying aging, social, and cultural change. This volume also critiques several commonly used (but flawed) methods of cohort analysis, illustrates appropriate methods, and describes the major sources of suitable data for cohort studies. This edition: Features a chapter on the analysis of survey data, including a discussion of the problems posed by question order effects when data from different surveys are used in a cohort analysis; Emphasizes the difference between linear and nonlinear effects; Gives instructions on how to use available data from cohort studies, such as the National Election Studies, the General Social Surveys, and the Census." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HB 849.47 .G584 2005

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Computational Approaches to Studying the Co-Evolution of Networks and Behavior in Social Dilemmas.
Computational Approaches to Studying the Co-Evolution of Networks and Behavior in Social Dilemmas cover image By Rense Corten.
Chichester, West Sussex, United Kingdom: Wiley, 2014.
Series: Wiley Series in Computational and Quantitative Social Science.
"Computational Approaches to Studying the Co-evolution of Networks and Behaviour in Social Dilemmas shows students, researchers, and professionals how to use computation methods, rather than mathematical analysis, to answer research questions for an easier, more productive method of testing their models. Illustrations of general methodology are provided and explore how computer simulation is used to bridge the gap." - (publisher's description)
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Correlation: Parametric and Nonparametric Measures.
Correlation: Parametric and Nonparametric Measures cover image By Peter Y. Chen and Paula M. Popovich.
Thousands Oaks, CA: Sage Publications, ©2002.
Series: Quantitative Applications in the Social Sciences; 139.
"Correlations, in general, and the Pearson product-moment correlation in particular, can be used for many research purposes, ranging from describing a relationship between two variables as a descriptive statistic to examining a relationship between two variables in a population as an inferential statistic, or to gauge the strength of an effect, or to conduct a meta-analytic study. How can correlation be more effectively used so that one doesn't misinterpret the data? This book reveals how to do this by examining Pearson r from its conceptual meaning, to assumptions, special cases of the Pearson r, the biserial coefficient and tetrachoric coefficient estimates of the Pearson r, its uses in research (including effect size, power analysis, meta-analysis, utility analysis, reliability estimates and validation), factors that affect the Pearson r, and finally to additional nonparametric correlation indexes. After reading this book, the reader will be able to compare and distinguish the concepts of similarity and relationship, identify the distinction between correlation and causation, and to interpret correlations correctly." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 276 .C4665 2002

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Criminal Justice and Criminology Research Methods.
Criminal Justice and Criminology Research Methods cover image By Peter B. Kraska and W. Lawrence Neuman.
Boston, MA: Pearson/Allyn & Bacon, ©2008.
"A great read in that it breaks hard concepts down into understandable terms. Criminal Justice and Criminology Research Methods truly engages students to learn an essential yet difficult subject. It features real-life examples, accessibility without sacrificing rigor, cutting-edge coverage of the subject, and a consistent demonstration of how research is relevant to both the criminal justice system and our discipline. This text goes beyond the nuts and bolts, and teaches students how to competently critique as well as create research-based knowledge. The authors managed to create a comprehensive research methods book that is easily among the most rigorous in our field in terms of the traditional quantitative techniques, but at the same time, it provides three full chapters devoted to a wide range of qualitative methods. Qualitative methods are also integrated throughout the entire book along with a strong emphasis on the idea of mixed methods research. Filled with women's studies examples and highlights, it also discusses in many different places throughout the text the array of feminist approaches to conducting research (feminist approach to interviewing for example)." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HV 6024.5 .K73 2008

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Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists, updated edition.
Damned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activists cover image By Joel Best.
Berkeley, CA; London, UK: University of California Press, ©2012.
"Here, by popular demand, is the updated edition to Joel Best's classic guide to understanding how numbers can confuse us. In his new afterword, Best uses examples from recent policy debates to reflect on the challenges to improving statistical literacy. Since its publication ten years ago, Damned Lies and Statistics has emerged as the go-to handbook for spotting bad statistics and learning to think critically about these influential numbers." (publisher's description)
UT Arlington - Central Library Books, 4th Floor
- - HM 535 .B47 2012

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Data Analysis Using SAS.
Data Analysis Using SAS cover image By C.Y. Joanne Peng.
Los Angeles, CA: SAGE, ©2009.
"Data Analysis Using SAS offers a comprehensive core text focused on key concepts and techniques in quantitative data analysis using the most current SAS commands and programming language. The coverage of the text is more evenly balanced among statistical analysis, SAS programming, and data/file management than any available text on the market. It provides students with a hands-on, exercise-heavy method for learning basic to intermediate SAS commands while understanding how to apply statistics and reasoning to real-world problems." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 276.4 .P46 2009

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Design and Analysis of Experiments: Classical and Regression Approaches with SAS.
Design and Analysis of Experiments: Classical and Regression Approaches with SAS cover image By Leonard C. Onyiah.
Boca Raton, LA: CRC Press, ©2009.
Series: Statistics, Textbooks and Monographs.
"Recently, there has been a welcome attempt to emphasize the analysis of experimental data as a regression problem involving dummy variables. With the growth of statistical computing and the availability of cutting-edge software, the time has come for such new approaches. Focusing on novel regression methods that make use of dummy variables, Design and Analysis of Experiments presents classical experimental design and data analysis using the invaluable tool of SAS. The text provides numerous examples and hands-on exercises to illustrate both the theoretical foundations and the computational approaches for different experimental designs. It also includes full code and outputs for SAS analyses." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 278.2 .O49 2009

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Developing Quantitative Literacy Skills in History and the Social Sciences: A Web-Based Common Core Standards Approach.
Developing Quantitative Literacy Skills in History and the Social Sciences cover image By Kathleen Craver.
Lanham, MD: Rowman & Littlefield, 2014.
"History and social sciences educators have been charged with ensuring that our students are quantitatively literate. Being able to integrate research data in the form of graphs, charts, and tables and deconstruct quantitative evidence to address questions and solve problems is no longer the domain of mathematicians. Being quantitatively literate is considered an educational imperative in a data-drenched world that holds so many employment challenges.
This book features 85 interesting and exciting multi-century and multicultural web sites that are accompanied by numerical critical thinking questions and activities. Teachers can pose the questions to their entire class or individually assign them. It also contains lists of best practices and examples for interpreting, visualizing, and displaying quantitative data. History and social sciences educators will find this book an indispensable tool for incorporating numerical literacy skills into their class activities and assignments." - (publisher's description)
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Differential Equations: A Modeling Approach.
Differential Equations: A Modeling Approach cover image By Courtney Brown.
Los Angeles, CA: Sage Publications, ©2007.
Series: Quantitative Applications in the Social Sciences; 150.
"Differential Equations: A Modeling Approach introduces differential equations and differential equation modeling to students and researchers in the social sciences. The text explains the mathematics and theory of differential equations. Graphical methods of analysis are emphasized over formal proofs, making the text even more accessible for newcomers to the subject matter. This volume introduces the subject of ordinary differential equations as well as systems of such equations to the social science audience. Social science examples are used extensively, and readers are guided through the most elementary models to much more advanced specifications. Emphasis is placed on easily applied and broadly applicable numerical methods for solving differential equations, thereby avoiding complicated mathematical "tricks" that often do not even work with more interesting nonlinear models. Also, graphical methods of analysis are introduced that allow social scientists to rapidly access the power of sophisticated model specifications. This volume also describes in clear language how to evaluate the stability of a system of differential equations (linear or nonlinear) by using the system's eigenvalues. The mixture of nonlinearity with dynamical systems is a virtual trademark for this author's approach to modeling, and this theme comes through clearly throughout this volume. This volume's clarity of exposition encourages social science students of mathematical modeling to begin working with differential equation models that address complex and sophisticated social theories." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 371 .B84 2007

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Doing Research in Political Science, 2nd edition.
By Paul Pennings, Hans Keman, and Jan Kleinnijenhuis.
London, England; Thousand Oaks, CA: SAGE, 2006.
UT Arlington - Central Library, Floor 4
- - JA 71 .P395 2006

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Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 3rd edition.
By John W. Creswell.
Upper Saddle River, NJ: Pearson/Merrill Prentice Hall, ©2008.
UT Arlington - Central Library, Floor 4
- - LB 1028 .C742 2008

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The Fitness of Information: Quantitative Assessments of Critical Evidence.
By Chaomei Chen.
Hoboken, NJ: Wiley, 2014.
Series: Wiley Series in Probability and Statistics.
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Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences.
Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences cover image By Charles Teddlie and Abbas Tashakkori.
Los Angeles, CA: SAGE, ©2009.
"Foundations of Mixed Methods Research is the first comprehensive textbook on using mixed methods in the social sciences, written by two leading names in the field. Mixed methodology (combining quantitative and qualitative techniques) has become an increasingly popular way of both researching and teaching methodology across the social sciences, and students across these fields are expected to be proficient in both quantitative and qualitative techniques. This text begins with an introduction to and overview of the development of mixed methodology, and then takes students through all aspects of working with mixed methods from research design and data collection through to analysis and conclusions." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .T294 2009

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Fuzzy Set Theory: Applications in the Social Sciences.
Fuzzy Set Theory: Applications in the Social Sciences cover image By Michael Smithson and Jay Verkuilen.
Thousand Oaks, CA: Sage Publications, ©2006.
Series: Quantitative Applications in the Social Sciences; 147.
"This book introduces fuzzy set theory to social science researchers. Fuzzy sets are categories with blurred boundaries. With classical sets, objects are either in the set or not, but objects can belong partially to more than one fuzzy set at a time. Many concepts in the social sciences have this characteristic, and fuzzy set theory provides methods for systematically dealing with them. A primary reason for not going beyond programmatic statements and rather unsophisticated uses of fuzzy set theory has been the lack of practical methods for combining fuzzy set concepts with statistical methods. This monograph takes that topic as its major focus, and provides explicit guides for researchers who would like to harness fuzzy set concepts while being able to make statistical inferences and test their models. Real examples and data-sets from several disciplines illustrate the techniques and applications, demonstrating how a combination of fuzzy sets and statistics enable researchers to analyze their data in new ways." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 61.25 .S652 2006

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Generalizing from Educational Research: Beyond Qualitative and Quantitative Polarization.
Edited by Kadriye Ercikan and Wolff-Michael Roth.
New York, NY: Routledge, 2009.
UT Arlington - Central Library, Floor 4
- - LB 1028 .G398 2009

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Handbook of Ethics in Quantitative Methodology.
Handbook of Ethics in Quantitative Methodology cover image By A.T. Panter and Sonya K. Sterba.
New York, NY: Routledge, ©2011.
"This comprehensive Handbook is the first to provide a practical, interdisciplinary review of ethical issues as they relate to quantitative methodology including how to present evidence for reliability and validity, what comprises an adequate tested population, and what constitutes scientific knowledge for eliminating biases. The book uses an ethical framework that emphasizes the human cost of quantitative decision making to help researchers understand the specific implications of their choices." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .P276 2011

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Handbook of Forensic Anthropology and Archaeology.
Handbook of Forensic Anthropology and Archaeology cover image Edited by Soren Blau and Douglas H. Ubelaker.
Walnut Creek, CA: Left Coast Press, ©2009.
Series: World Archaeological Congress Research Handbooks in Archaeology.
"Over the last 10 years interest in the disciplines of forensic anthropology and archaeology has exploded.. In order to provide archaeologists and their students with a reliable understanding of these disciplines, this authoritative volume draws contributions from fifty experienced practitioners from around the world to offer a solid foundation in both the practical and ethical components of forensic work. Over 40 chapters weave together historical development, current field methods in analyzing crime, natural disasters and human atrocities, an array of laboratory techniques, key case studies, legal, professional, and ethical issues, and promising future directions, all from a global perspective. This volume will be the benchmark for the understanding of anthropological and archaeological forensics for years to come." (publisher's description)
UT Arlington - Central Library, Floor 4
- - GN 69.8 .H34 2008

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Handbook of Research on Electronic Surveys and Measurements.
Handbook of Research on Electronic Surveys and Measurements cover image By Rodney A. Reynolds, Robert Woods, and Jason D. Baker.
Hershey, PA: Idea Group Reference, ©2007.
"This book is the comprehensive reference source for innovative knowledge on electronic surveys. It provides complete coverage of the challenges associated with the use of the Internet to develop online surveys, administer Web-based instruments, and conduct computer-mediated assessments. This combination of how-to information about online research coupled with profiles of specific measures makes it an indispensable reference." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 31.2 .H347 2007

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How Numbers Rule the World: The Use and Abuse of Statistics in Global Politics.
How Numbers Rule the World: The Use and Abuse of Statistics in Global Politics cover image By Lorenzo Fioramonti.
London, UK: Zed Books, 2014.
Series: Economic Controversies.
"In this eye-opening book, Lorenzo Fioramonti provides a much-needed critique of the current 'data fever', showing both the direct consequences and indirect implications of the increasing power of numbers. At the same time, it investigates innovative attempts to resist the invasion of mainstream statistics by providing alternative measurements or rejecting quantification altogether. An innovative and timely exposé of the politics, power and contestation of numbers in everyday life." (publisher's description)
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Interaction Effects in Logistic Regression.
Interaction Effects in Logistic Regression cover image By James Jaccard.
Thousand Oaks, CA: Sage Publications, ©2001.
Series: Quantitative Applications in the Social Sciences; 135.
"This book provides an introduction to the analysis of interaction effects in logistic regression by focusing on the interpretation of the coefficients of interactive logistic models for a wide range of situations encountered in the research literature. The volume is oriented toward the applied researcher with a rudimentary background in multiple regression and logistic regression and does not include complex formulas that could be intimidating to the applied researcher." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 31.3 .J328 2001

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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists.
Introduction to Applied Bayesian Statistics and Estimation for Social Scientists cover image By Scott Michael Lynch.
New York, NY; London, England: Springer, 2007.
Series: Statistics for Social Science and Behavorial Sciences.
"Introduction to Applied Bayesian Statistics and Estimation for Social Scientists covers the complete process of Bayesian statistical analysis in great detail from the development of a model through the process of making statistical inference. The key feature of this book is that it covers models that are most commonly used in social science research - including the linear regression model, generalized linear models, hierarchical models, and multivariate regression models - and it thoroughly develops each real-data example in painstaking detail.
The first part of the book provides a detailed introduction to mathematical statistics and the Bayesian approach to statistics, as well as a thorough explanation of the rationale for using simulation methods to construct summaries of posterior distributions. Markov chain Monte Carlo (MCMC) methods - including the Gibbs sampler and the Metropolis-Hastings algorithm - are then introduced as general methods for simulating samples from distributions. Extensive discussion of programming MCMC algorithms, monitoring their performance, and improving them is provided before turning to the larger examples involving real social science models and data." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .L964 2007

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Introduction to Generalized Linear Models.
Introduction to Generalized Linear Models cover image By George Henry Dunteman and Moon-Ho R. Ho.
Thousand Oaks, CA: Sage Publications, ©2006.
Series: Quantitative Applications in the Social Sciences; 145.
"Do you have data that is not normally distributed and don't know how to analyze it using generalized linear models (GLM)? Beginning with a discussion of fundamental statistical modeling concepts in a multiple regression framework, the authors extend these concepts to GLM (including Poisson regression. logistic regression, and proportional hazards models) and demonstrate the similarity of various regression models to GLM. Each procedure is illustrated using real life data sets, and the computer instructions and results will be presented for each example. Throughout the book, there is an emphasis on link functions and error distribution and how the model specifications translate into likelihood functions that can, through maximum likelihood estimation be used to estimate the regression parameters and their associated standard errors. This book provides readers with basic modeling principles that are applicable to a wide variety of situations." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 31.3 .D86 2006

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Introduction to Statistics for Forensic Scientists.
Introduction to Statistics for Forensic Scientists cover image By David Lucy.
Chichester, West Sussex, England; Hoboken, NJ: Wiley, ©2005.
"Introduction to Statistics for Forensic Scientists is an essential introduction to the subject, gently guiding the reader through the key statistical techniques used to evaluate various types of forensic evidence. Assuming only a modest mathematical background, the book uses real-life examples from the forensic science literature and forensic case-work to illustrate relevant statistical concepts and methods. Opening with a brief overview of the history and use of statistics within forensic science, the text then goes on to introduce statistical techniques commonly used to examine data obtained during laboratory experiments. There is a strong emphasis on the evaluation of scientific observation as evidence and modern Bayesian approaches to interpreting forensic data for the courts. The analysis of key forms of evidence are discussed throughout with a particular focus on DNA, fibres and glass. An invaluable introduction to the statistical interpretation of forensic evidence; this book will be invaluable for all undergraduates taking courses in forensic science." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HV 8073 .L83 2005

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Introduction to Survival Analysis Using Stata, 2nd edition.
Introduction to Survival Analysis Using Stata cover image By Mario Alberto Cleves, William Gould, Roberto Gutierrez, and Yulia Marchenko.
College Station, TX: Stata Press, 2008.
"Written by the developers of Stata's widely used survival analysis suite, this book provides the foundation to understand various approaches for analyzing time-to-event data. Taking a practical approach to the subject, the authors discuss how survival analysis estimators work and what information they exploit. They also present the syntax, features, and underpinnings of Stata's survival analysis routines.
This edition highlights the new aspects of Stata 10, including its power and sample-size calculations for survival data. Other updates include in-graph at-risk tables for Kaplan-Meier and related curves, survival analysis for survey data, and regression models with flexible functional forms via fractional polynomials." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 276.2 .C5 2008

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Introduction to the Comparative Method with Boolean Algebra.
By Daniele Caramani.
Los Angeles, CA: SAGE, ©2009.
Series: Quantitative Applications in the Social Sciences; 158.
"Offering students and researchers in the behavioural and social sciences a brief and accessible introduction to the comparative method, it is ideal for students of public administration, policy, sociology, political science, social psychology, and international relations. It provides readers with basic guidelines for comparative research by addressing all key methodological issues." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 61 .C2465 2009

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Introduction to Webometrics: Quantitative Web Research for the Social Sciences.
Introduction to Webometrics: Quantitative Web Research for the Social Sciences cover image By Michael Arijan Thelwall.
San Rafael, CA: Morgan & Claypool Publishers, ©2009.
Series: Synthesis Lectures on Information Concepts, Retrieval, and Services; #4.
"Webometrics is concerned with measuring aspects of the web: web sites, web pages, parts of web pages, words in web pages, hyperlinks, web search engine results. The importance of the web itself as a communication medium and for hosting an increasingly wide array of documents, from journal articles to holiday brochures, needs no introduction. Given this huge and easily accessible source of information, there are limitless possibilities for measuring or counting on a huge scale (e.g., the number of web sites, the number of web pages, the number of blogs) or on a smaller scale (e.g., the number of web sites in Ireland, the number of web pages in the CNN web site, the number of blogs mentioning Barack Obama before the 2008 presidential campaign). This book argues that it can be useful for social scientists to measure aspects of the web and explains how this can be achieved on both a small and large scale. The book is intended for social scientists with research topics that are wholly or partly online (e.g., social networks, news, political communication) and social scientists with offline research topics with an online reflection, even if this is not a core component (e.g., diaspora communities, consumer culture, linguistic change)." (publisher's description)
UT Arlington - Central Library, Floor 4
- - ZA 4228 .T538 2009

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Latent Growth Curve Modeling.
Latent Growth Curve Modeling cover image By Kristopher J. Preacher and others.
Los Angeles, CA: SAGE, ©2008.
Series: Quantitative Applications in the Social Sciences; 157.
"Latent growth curve modeling (LGM)-a special case of confirmatory factor analysis designed to model change over time-is an indispensable and increasingly ubiquitous approach for modeling longitudinal data. This volume introduces LGM techniques to researchers, provides easy-to-follow, didactic examples of several common growth modeling approaches, and highlights recent advancements regarding the treatment of missing data, parameter estimation, and model fit.
The book covers the basic linear LGM, and builds from there to describe more complex functional forms (e.g., polynomial latent curves), multivariate latent growth curves used to model simultaneous change in multiple variables, the inclusion of time-varying covariates, predictors of aspects of change, cohort-sequential designs, and multiple-group models. The authors also highlight approaches to dealing with missing data, different estimation methods, and incorporate discussion of model evaluation and comparison within the context of LGM. The models demonstrate how they may be applied to longitudinal data derived from the NICHD Study of Early Child Care and Youth Development (SECCYD)." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 278.6 .L32 2008

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Linear Mixed Models: A Practical Guide Using Statistical Software.
Linear Mixed Models: A Practical Guide Using Statistical Software cover image By Brady West, Kathleen B. Welch, and Andrzej T. Galecki; with contributions from Brenda W. Gillespie.
Boca Raton, LA: Chapman & Hall/CRC, ©2007.
"Simplifying the often confusing array of software programs for fitting linear mixed models (LMMs), Linear Mixed Models: A Practical Guide Using Statistical Software provides a basic introduction to primary concepts, notation, software implementation, model interpretation, and visualization of clustered and longitudinal data. This easy-to-navigate reference details the use of procedures for fitting LMMs in five popular statistical software packages: SAS, SPSS, Stata, R/S-plus, and HLM.
The authors introduce basic theoretical concepts, present a heuristic approach to fitting LMMs based on both general and hierarchical model specifications, develop the model-building process step-by-step, and demonstrate the estimation, testing, and interpretation of fixed-effect parameters and covariance parameters associated with random effects. These concepts are illustrated through examples using real-world data sets that enable comparisons of model fitting options and results across the software procedures. The book also gives an overview of important options and features available in each procedure.
Making popular software procedures for fitting LMMs easy-to-use, this valuable resource shows how to perform LMM analyses and provides a clear explanation of mixed modeling techniques and theories." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 279 .W47 2007

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Mathematical Primer for Social Statistics.
Mathematical Primer for Social Statistics cover image By John Fox.
Los Angeles, CA: SAGE, ©2009.
Series: Quantitative Applications in the Social Sciences; 159.
"A Mathematical Primer for Social Statistics: Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. It is, however, surprising how far one can go with a relatively modest mathematical background. The proposed monograph aims to provide that background, introducing the areas of mathematics that are most centrally important to applied social statistics: matrices, linear algebra, and vector geometry; basic differential and integral calculus, including multivariable and matrix calculus, and the application of calculus to optimization problems; and probability and estimation, including the basics of probability theory, discrete and continuous random variables, commonly encountered statistical distributions, principles of estimation, the method of maximum likelihood and the basics of Bayesian inference.It would be advantageous to cover all these topics in a single book. The expected readership includes advanced undergrads, graduate students, and researchers in the social sciences who wish to learn and use relatively advanced statistical methods, especially regression type of analysis, but whose mathematical preparation for this work is insufficient." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 61.25 .F69 2009

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Mediation Analysis.
Mediation Analysis cover image By Dawn Iacobucci.
Los Angeles, CA: Sage, ©2008.
Series: Quantitative Applications in the Social Sciences; 156.
"This book covers mediation analysis-the examination of whether an effect of one variable on another is direct or indirect or both. Author Dawn Iacobucci offers thorough coverage of introductory and advanced material as well as conceptual and statistical information. The book begins by introducing arguments of causality, and proceeds to examine current options for analyzing data patterns purported to exhibit meditational structures. Iacobucci shows direct and indirect paths via causal paths, regression, and structural equations models. She also grounds readers in a popular structural equations modeling approach so they can implement the statistical methods discussed in testing for evidence of mediation in a variety of empirical contexts." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 61.25 .I13 2008

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Methodological Advances in Educational Effectiveness Research.
By Bert P.M. Creemers, Leonidas Kyriakides, and Pam Sammons.
Milton Park, Abingdon, Oxon, UK; New York, NY: Routledge, ©2010.
Series: Quantitative Methodology Series.
UT Arlington - Central Library, Floor 4
- - LB 1028 .C736 2010

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Microeconometrics Using Stata.
Microeconometrics Using Stata cover image By A. Colin Cameron and Pravin K. Trivedi.
College Station, TX: Stata Press, ©2009.
"An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HB 139 .C36 2009

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Models for Social Networks with Statistical Applications.
Models for Social Networks with Statistical Applications cover image By Suraj Bandyopadhyay, A.R. Rao, and Bikas K. Sinha.
Los Angeles, CA: SAGE, ©2011.
Series: Advanced Quantitative Techniques in the Social Sciences; 13.
"This supplemental text is ideal for a variety of graduate and doctoral-level courses in social network analysis in the social, behavioral, and health sciences." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .B36 2011

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Modern Methods for Robust Regression.
By Robert Andersen.
Los Angeles, CA: Sage Publications, ©2008.
Series: Quantitative Applications in the Social Sciences; 152.
"Modern Methods for Robust Regression offers a brief, but in-depth, treatment of robust and resistant regression. It is ideal for readers who are interested in the issues related to outliers and influential cases. This volume, which is geared toward both future and practicing social scientists, is unique in that it takes an applied approach and offers readers empirical examples to illustrate key concepts." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 31.3 .A63 2008

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Modern Morphometrics in Physical Anthropology.
Modern Morphometrics in Physical Anthropology cover image Edited by Dennis E. Slice.
New York, NY: Kluwer Academic/Plenum Publishers, ©2005.
Series: Developments in Primatology .
"Morphometrics has undergone a revolutionary transformation in the past two decades as new methods have been developed to address shortcomings in the traditional multivirate analysis of linear distances, angles, and indices. While there is much active research in the field, the new approaches to shape analysis are already making significant and ever-increasing contributions to biological research, including physical anthropology. Modern Morphometrics in Physical Anthropology highlights the basic machinery of the most important methods, while introducing novel extensions to these methods and illustrating how they provide enhanced results compared to more traditional approaches. Modern Morphometrics in Physical Anthropology provides a comprehensive sampling of the applications of modern, sophisticated methods of shape analysis in anthropology, and serves as a starting point for the exploration of these practices by students and researchers who might otherwise lack the local expertise or training to get started. This text is an important resource for the general morphometric community that includes ecologists, evolutionary biologists, systematists, and medical researchers." (publisher's description)
UT Arlington - Central Library, Floor 4
- - GN 50.8 .M63 2005

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Multilevel and Longitudinal Modeling Using Stata, 2nd edition.
Multilevel and Longitudinal Modeling Using Stata cover image By Sophia Rabe-Hesketh and Anders Skrondal.
College Station, TX: Stata Press, 2008.
"Multilevel and Longitudinal Modeling Using Stata, Second Edition discusses regression modeling of clustered or hierarchical data, such as data on students nested in schools, patients in hospitals, or employees in firms. Longitudinal data are also clustered with, for instance, repeated measurements on patients or several panel waves per survey respondent. Multilevel and longitudinal modeling can exploit the richness of such data and can disentangle processes operating at different levels.
Assuming some knowledge of linear regression, this bestseller explains models and their assumptions, applies methods to real data using Stata, and shows how to interpret the results. The applications and exercises span a wide range of disciplines, making the book suitable for courses on multilevel and longitudinal modeling in the medical, social, and behavioral sciences and in applied statistics. This extensively revised second edition includes 3 new chapters, comprehensive updates for Stata 10, 38 new exercises, and 27 new data sets." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 276.4 .R33 2008

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Multiple and Generalized Nonparametric Regression.
Multiple and Generalized Nonparametric Regression cover image By John Fox.
Thousand Oaks, CA: Sage Publications, 2000.
Series: Quantitative Applications in the Social Sciences; 131.
"This book builds on John Fox's previous volume in the QASS Series, NonParametric Simple Regression. In this monograph readers learn to estimate and plot smooth functions when there are multiple independent variables. While regression analysis traces the dependence of the distribution of a response variable to see if it bears a particular (linear) relationship to one or more of the predictors, nonparametric regression analysis makes minimal assumptions about the form of relationship between the average response and the predictors. This makes nonparametric regression a more useful technique for analyzing data in which there are several predictors that may combine additively to influence the response. (An example could be something like birth order/gender/and temperament on achievement motivation).
Unfortunately, researchers have not had accessible information on nonparametric regression analysis, until now. Beginning with presentation of nonparametric regression based on dividing the data into bins and averaging the response values in each bin, Fox introduces readers to the techniques of kernel estimation, additive nonparametric regression, and the ways nonparametric regression can be employed to select transformations of the data preceding a linear least-squares fit. The book concludes with ways nonparametric regression can be generalized to logit, probit, and Poisson regression." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 31.3 .F693 2000

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Nonparametric Simple Regression: Smoothing Scatterplots.
By John Fox.
Thousand Oaks, CA: Sage Publications, ©2000.
Series: Quantitative Applications in the Social Sciences; 130.
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Nonparametric Statistics for the Behavioral Sciences, 2nd edition.
Nonparametric Statistics for the Behavioral Sciences cover image By Sidney Siegel and N. John Castellan, Jr.
New York, NY: McGraw-Hill, ©1988.
"Revision of the classic text in the field, adding two new chapters and thoroughly updating all others. The original structure is retained, and the book continues to serve as a combined text/reference." (publisher's description)
UT Arlington - Central Library, Floor 4
- - BF 39 .S464 1988

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Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops.
Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops cover image By Pamela M. Paxton, John R. Hipp, and Sandra Marquart-Pyatt.
Thousand Oaks, CA: SAGE, ©2011.
Series: Quantitative Applications in the Social Sciences; 168.
"Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models.
This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 61.25 .P398 2011

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The Practice of Research in Criminology and Criminal Justice, 3rd edition.
By Ronet Bachman, Russell K. Schutt.
Los Angeles, CA: SAGE Publications, ©2007.
UT Arlington - Central Library, Floor 4
- - HV 6024.5 .B33 2007

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Propensity Score Analysis: Statistical Methods and Applications.
Propensity Score Analysis: Statistical Methods and Applications cover image By Shenyang Guo and Mark W. Fraser.
Thousand Oaks, CA: Sage Publications, ©2010.
Series: Advanced Quantitative Techniques in the Social Sciences Series; v. 11.
"Propensity Score Analysis provides readers with a systematic review of the origins, history, and statistical foundations of PSA and illustrates how it can be used for solving evaluation problems. With a strong focus on practical applications, the authors explore various types of data and evaluation problems related to, strategies for employing, and the limitations of PSA. Unlike the existing textbooks on program evaluation, Propensity Score Analysis delves into statistical concepts, formulas, and models underlying the application." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .G91775 2010

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Quantitative Data Analysis in Education: A Critical Introduction Using SPSS.
By Paul Connolly.
London, UK; New York, NY: Routledge, 2007.
UT Arlington - Central Library, Floor 4
- - LB 2846 .C66 2007

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Quantitative Research in Education.
Edited by Stephen Gorard.
London, UK: SAGE, 2008.
Series: Fundamentals of Applied Research.
Note: Three-Volume Set.
"This major work captures cutting-edge and seminal practice from around the world in quantitative research in education, as well as looking back at some of the classic papers that have changed the way we work forever. It encompasses innovations in secondary analysis, surveys, experiments, statistical modeling, and sampling over thirty years. It showcases the methodological side of such innovations alongside reports of substantive results of great significance for educational policy and practice that emerge when using them." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - LB 1028 .Q368 2008

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Quantitative Research in Education: A Primer.
By Wayne K. Hoy.
Los Angeles, CA: SAGE, ©2010.
UT Arlington - Central Library, Floor 4
- - LB 1028 .H69 2010

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Quantitative Social Research Methods.
Quantitative Social Research Methods cover image By Kultar Singh.
Los Angeles, CA: Sage Publications, 2007.
"Social research plays a crucial role in the development process as it provides the tools to bring about social change. This book presents an in-depth look at social research - its fundamental postulates, tools and techniques of analysis - and assesses its relevance for the development and social sectors in India. The author explores how development changes take place and their impact on rural life, especially on the underprivileged and marginalised sections of society. Divided into two sections, the book first discusses all aspects of social research - its various methods, scope, sampling methodology and significance, and presents quantitative, univariate, bivariate and multivariate data analysis with the help of software packages such as SPSS and STATA. In the second section, the author examines the impact of social research on health and nutrition, poverty and rural development, education, water and sanitation, environment and natural resource management." (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .S47757 2007

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Quantity and Quality in Social Research.
By Alan Bryman.
London, England; New York, NY: Routledge, ©1988.
Series: Contemporary Social Research Series; 18.
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Quantifying Archaeology, 2nd edition.
Quantifying Archaeology cover image By Stephen Shennan.
Iowa City, Iowa: University of Iowa Press, 1997.
"Quantitative reasoning is central to archaeology: quantitative methods are a vital part of every archaeologist's mental tool kit. This new edition of Stephen Shennan's extremely popular textbook introduces students to the basic quantitative methods used within the discipline as well as some of the more advanced methods. Shennan explains the relevant areas of statistics in terms easily assimilated by archaeology students; instead of introducing statistics as it is taught in other disciplines, he draws his working examples from archaeological sources. Exercises at the end of each chapter also directly relate to issues likely to arise within the study of archaeology." (publisher's description)
UT Arlington - Central Library, Floor 4
- - CC 81 .S55 1997

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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 4th edition.
Research Design: Qualitative, Quantitative, and Mixed Methods Approaches cover image By John W. Creswell.
Thousand Oaks, CA: SAGE Publications, ©2014.
"The eagerly anticipated Fourth Edition of the title that pioneered the comparison of qualitative, quantitative, and mixed methods research design is here! For all three approaches, Creswell includes a preliminary consideration of philosophical assumptions, a review of the literature, an assessment of the use of theory in research approaches, and reflections about the importance of writing and ethics in scholarly inquiry. He also presents the key elements of the research process, giving specific attention to each approach. The Fourth Edition includes extensively revised mixed methods coverage, increased coverage of ethical issues in research, and an expanded emphasis on worldview perspectives." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - H 62 .C6963 2014

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Reviewing Quantitative Research to Inform Educational Policy Processes.
By Steven J. Hite.
Paris, France: UNESCO: International Institute for Educational Planning, 2001.
Series: Fundamentals of Educational Planning; 69.
UT Arlington - Central Library, Floor 4
- - LB 1028 .H357 2001

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The Sage Handbook of Criminological Research Methods.
The Sage Handbook of Criminological Research Methods cover image Edited by David Gadd, Susanne Karstedt, and Steven F. Messner.
Los Angeles, CA: Sage Publications Ltd, 2012.
"The SAGE Handbook of Criminological Research Methods focuses on the application of "methods," broadly understood, to address the core substantive questions that currently motivate contemporary criminological research. It maps a canon of methods that are more elaborated than in most other fields of social science, and the intellectual terrain of research problems with which criminologists are routinely confronted. Drawing on exemplary studies, chapters in each section will illustrate the qualitative and quantitative techniques that are commonly applied in empirical studies, as well as the logic of criminological enquiry." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - HV 6024.5 .S24 2012

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Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods.
Selecting the Right Analyses for Your Data: Quantitative, Qualitative, and Mixed Methods cover image By W. Paul Vogt, Elaine R. Vogt, Dianne C. Gardner, and Lynne M. Haeffele.
New York, NY: Guilford Publications, ©2014.
"What are the most effective methods to code and analyze data for a particular study?
This thoughtful and engaging book reviews the selection criteria for coding and analyzing any set of data--whether qualitative, quantitative, mixed, or visual. The authors systematically explain when to use verbal, numerical, graphic, or combined codes, and when to use qualitative, quantitative, graphic, or mixed-methods modes of analysis. Chapters on each topic are organized so that researchers can read them sequentially or can easily "flip and find" answers to specific questions. Nontechnical discussions of cutting-edge approaches--illustrated with real-world examples--emphasize how to choose (rather than how to implement) the various analyses. The book shows how using the right analysis methods leads to more justifiable conclusions and more persuasive presentations of research results.
Useful features for teaching or self-study:
*Chapter-opening preview boxes that highlight useful topics addressed.
*End-of-chapter summary tables recapping the 'dos and don'ts' and advantages and disadvantages of each analytic technique.
*Annotated suggestions for further reading and technical resources on each topic." - (publisher's description)
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Social Network Analysis, 2nd edition.
Social Network Analysis cover image By David Knoke and Song Yang.
Los Angeles, CA: Sage Publications, ©2008.
Series: Quantitative Applications in the Social Sciences; 154.
"In the thoroughly updated edition of Social Network Analysis, authors David Knoke and Song Yang take into account the vast number of changes in the field that have occurred in the 25 years since the first edition was published. They cover various issues in basic network concepts, data collection, and network analytical methodology. They succinctly illustrate the concepts and methods related to substantive social network research problems, citing examples ranging from children's play groups to organizations, communities, and international systems. Readers can also analyze the real and artificial datasets incorporated throughout the book." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HM 741 .K66 2008

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Social Statistics, Rev. 2d edition.
By Hubert M. Blalock, Jr.
Social Statistics cover image New York, NY: McGraw-Hill, ©1979.
Series: McGraw-Hill Series in Sociology.
"Social Statistics is a sophisticated textbook. It should help dispel extreme points of view, both favorable and unfavorable, about the place of statistics in research on human behavior. On the one hand, its clear and not unduly technical explanations of statistical inference will give the reader a realization that statistics is not a conspiracy of the mathematically-minded to make their work inaccessible to the uninitiated and hence immune to refutation. On the other hand, it will serve to disillusion those who see in statistics an advanced kind of magic with which practitioners may reach conclusions that are otherwise elusive and thereby build a science of human behavior. Blalock wrote this book in the belief that "it is much more important to obtain a good grasp of the fundamentals of statistical inference, together with some understanding of the assumptions underlying each test, than to master a wide range of techniques in the hope that one of them will apply to any particular problem at hand" (p. 416). Nevertheless, a wide range of techniques is covered...." (excerpt from the book review by, Frank C. Miller, in the: American Anthropologist, New Series, Vol. 63, No. 4 (Aug., 1961), pp. 885-886)
UT Arlington - Central Library, Floor 4
- - HA 29 .B59 1979

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Social Statistics for a Diverse Society, 4th edition.
Social Statistics for a Diverse Society cover image By Chava Frankfort-Nachmias and Anna Leon-Guerrero.
Thousand Oaks, CA: Pine Forge Press, ©2006.
"Written especially for undergraduate students taking their first course in social statistics, this highly accessible bestselling text has been thoroughly revised and updated with the latest General Social Survey data. This new 4th Edition maintains the same informal, conversational writing style along with the many pedagogical features have led to the previous editions' widespread success. It also introduces new social issues, including more analysis of cultural diversity. The text includes resources designed to support effective teaching: illustrations showing how statistical concepts are used to interpret social issues, guides for reading and interpreting the research literature, SPSS demonstrations, and a rich variety of exercises. In this 4th Edition, the authors have introduced a strong global perspective by using real-life examples from the International Social Survey Programme that help expand the students' analytical focus beyond the United States." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .N25 2006

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Spatial Regression Models.
Spatial Regression Models cover image By Michael D. Ward and Kristian Skrede Gleditsch.
Los Angeles, CA: Sage Publications, ©2008.
Series: Quantitative Applications in the Social Sciences; 155.
"Spatial Regression Models illustrates the use of spatial analysis in the social sciences. The text includes sections that cover different modeling-related topics: mapping and making projections; doing exploratory spatial data analysis; working with models which have lagged endogenous right-handed side variables; using spatial error correction models; employing conditionally autoregressive models; and dealing with over-time panels exhibiting spatial structures. Each of the modeling-based discussions includes separate delineations of how to proceed when dealing with main variables that are quantitative as well as qualitative. In each section, the authors employ prominent and diverse examples, introducing readers to key literature in the field. The examples are presented along with relevant data and programs written in the R, which illustrate exactly how to undertake the analyses described. The book ends with a chapter that covers techniques for presenting spatial information." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 30.6 .W37 2008

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SPSS from A to Z: A Brief Step-by-Step Manual for Psychology, Sociology and Criminal Justice.
SPSS from A to Z: A Brief Step-by-Step Manual for Psychology, Sociology and Criminal Justice cover image By Richard C. Sprinthall.
Boston, MA; Pearson Education/Allyn & Bacon, 2009.
"This brief SPSS manual covers virtually everything a first year statistics student will ever have to face! It includes all the necessary tests, as well as some addistional sophisticated tests for those students in advanced statistics or research methods courses." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 32 .S675 2009

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Statistical Modelling for Social Researchers: Principles and Practice.
Statistical Modelling for Social Researchers: Principles and Practice cover image By Roger J. Tarling.
London, England; New York, NY: Routledge, 2009.
"Tarling has produced a no-nonsense, comprehensive and very accessible book that will be a constant companion for the social researcher who wants to move beyond simple analysis. Building and testing theories is at the heart of social research and models are the way in which these theories are formulated. Conceptually it is not difficult to develop theoretical models but many stumble when they try to test models against quantitative data. This remarkably comprehensive book guides the social researcher through the logic of model building and shows how to apply a wide range of statistical approaches to testing these models. It is always practical but never simplistic; thorough but not longwinded. Each chapter explains how to use a statistical method to evaluate a model but the book goes well beyond simply showing what the steps to take. It progressively builds an understanding of what lies behind the techniques so that the researcher can become an independent and creative thinker as they interact with their data. All social researchers from intermediate to advanced levels will learn a great deal from this outstanding book." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .T28 2009

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Statistical Models and Causal Inference: A Dialogue with the Social Sciences.
Statistical Models and Causal Inference: A Dialogue with the Social Sciences cover image By David A. Freedman and Edited by David Collier, Jasjeet S. Sekhon, and Philip B. Stark.
Cambridge, England; New York, NY: Cambridge University Press, 2010.
"David A. Freedman presents here a definitive synthesis of his approach to causal inference in the social sciences. He explores the foundations and limitations of statistical modeling, illustrating basic arguments with examples from political science, public policy, law, and epidemiology. Freedman maintains that many new technical approaches to statistical modeling constitute not progress, but regress. Instead, he advocates a 'shoe leather' methodology, which exploits natural variation to mitigate confounding and relies on intimate knowledge of the subject matter to develop meticulous research designs and eliminate rival explanations. When Freedman first enunciated this position, he was met with scepticism, in part because it was hard to believe that a mathematical statistician of his stature would favor 'low-tech' approaches. But the tide is turning. Many social scientists now agree that statistical technique cannot substitute for good research design and subject matter knowledge. This book offers an integrated presentation of Freedman's views." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 29 .F6785 2010

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Statistics for Sciologists.
By Margaret Jarman Hagood and Daniel O. Price.
New York, NY: Holt 1952.
UT Arlington - Central Library, Floor 4
- - HA 29 .H2 1952

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Statistical Principles and Techniques in Scientific and Social Investigations.
Statistical Principles and Techniques in Scientific and Social Investigations cover image By Wojtek J. Krzanowski.
Oxford, England; New York, NY: Oxford University Press, 2007.
"This graduate-level text provides a survey of the logic and reasoning underpinning statistical analysis, as well as giving a broad-brush overview of the various statistical techniques that play a major roll in scientific and social investigations. Arranged in rough historical order, the text starts with the ideas of provability that underpin statistical methods and progresses through the developments of the nineteenth and twentieth centuries to modern concerns and solutions. Assuming only a basic level of Mathematics and with numerous examples and illustrations, this text presents a valuable resource not only to the experienced researcher but also to the student, by complementing courses in a wide range of substantive areas and enabling the reader to rise above the details in order to see the overall structure of the subject." (publisher's description)
UT Arlington - Central Library, Floor 4
- - QA 276 .K715 2007

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Statistics for Anthropology.
Statistics for Anthropology cover image By Lorena Madrigal.
Cambridge, England; New York, NY: Cambridge University Press, 1998.
"Anthropology students increasingly need a quantitative background, but statistics are often seen as difficult and impenetrable. Statistics for Anthropology offers students of anthropology and other social sciences an easy, step-by-step route through the statistical maze. In clear, simple language, using relevant examples and practice problems, it provides a solid footing in basic statistical techniques, and is designed to give students a thorough grounding in methodology, and also insight into how and when to apply the various processes. The book assumes a minimal background in mathematics, and is suitable for the computer-literate and illiterate. Although only a hand calculator is needed, computer statistical software can be used to accompany the text. This book will be a 'must-have' for all anthropology and social science students needing an introduction to basic statistics." (publisher's description)
UT Arlington - Central Library, Floor 4
- - GN 34.3 .S7 M33 1998

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Statistics for Archaeologists: A Commonsense Approach.
Statistics for Archaeologists: A Commonsense Approach cover image By Robert D. Drennan.
New York, NY: Plenum Press, ©1996.
Series: Interdisciplinary Contributions to Archaeology.
"Taking a jargon-free approach, this guidebook introduces the basic principles of statistics to archaeologists. The author covers the necessary techniques for analyzing data collected in the field and laboratory as well as for evaluating the significance of the relationships between variables. In addition, chapters discuss the special concerns of working with samples. This well-illustrated guide features several practice problems making it an ideal text for students in archaeology and anthropology." (publisher's description)
UT Arlington - Central Library, Floor 4
- - CC 80.6 .D74 1996

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Statistics in Archaeology.
Statistics in Archaeology cover image By Michael J. Baxter.
London, England: Arnold; New York, NY: Distributed in the United States of America by Oxford University Press, 2003.
"Statistics in Archaeology' presents the particular statistical methodologies which can be used to address specific issues and problems in archaeology. Through in-depth case studies, the author illustrates how such techniques can be employed in the archaeological context. These examples are taken from a wide range of different countries and reflect the international nature of archaeology, and its students and practitioners. The technical level of the book is intermediate and is for the academic and professional archaeologist needing to know more about the statistical techniques available to them. The structure and content of the book mean that it will also appeal to applied statisticians interested in how statistical methods can be used in different application areas." (publisher's description)
UT Arlington - Central Library, Floor 4
- - CC 80.6 .B39 2003

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Statistics in Criminology and Criminal Justice: Analysis and Interpretation, 3rd edition.
Statistics in Criminology and Criminal Justice: Analysis and Interpretation cover image By Jeffery T. Walker and Sean Maddan.
Sudbury, MA: Jones and Bartlett Publishers, ©2009.
"Thoroughly updated and revised, the Third Edition of Statistics in Criminology and Criminal Justice: Analysis and Interpretation provides criminal justice students with a firm knowledge base in the theory and application of statistical analyses. A great introduction to the theory and practice of statistics, the Third Edition focuses on data collection, knowing which statistics to use with what data, how to interpret actual SSPS output, explanations and demonstrations of statistical procedures, why procedures give the results they do, how to interpret the output of statistical analyses, and more! Each chapter has been updated to include new information on statistical output, revised data files, additional data sets, and extensive use of flowcharts to increase students confidence in analyzing and conducting statistical research. Feature key terms, equation summaries, exercises, updated references, suggested readings for further knowledge, as well as How Do You Do That and A Bit of History explanations, tis is the ideal introductory statistics text for criminal justice students." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HV 7415 .W32 2009

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A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences.
A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences cover image By Gary Goertz and James Mahoney.
Princeton, NJ: Princeton University Press, 2012.
"Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points." - (publisher's description)
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Teaching Quantitative Methods: Getting the Basics Right.
Teaching Quantitative Methods: Getting the Basics Right cover image By Geoff Payne and Malcolm Williams.
Thousand Oaks, CA: Sage Publications, 2011.
"A clear, innovative text from world experts, this clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities. It is a pragmatic approach which will be of interest to any academic teaching 'numbers' to their students.
This exciting collection is both useful and timely. It clearly lays out the problems, strategies and resources associated with the teaching of quantitative methods in modern universities.
Addressing the perceived 'crisis of number' in a practical and fresh way the book sets out dynamic new approaches to teaching quantitative methods. It offers historical, comparative, analytical reflection and empirical evidence concerning the crisis in contemporary social sciences.
Experts from across the social sciences provide a wide range of authoritative insights as well as a number of useful illustrations of strategies and resources designed to help overcome this 'crisis of number'. Each chapter reflects the diversity of backgrounds and approaches within the social sciences making this an interdisciplinary, relevant addition to the subject." - (publisher's description)
UT Arlington - Central Library, Floor 4
- - HA 35 .P39 2011

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Test Equating, Scaling, and Linking: Methods and Practices, 3rd edition.
Test Equating, Scaling, and Linking: Methods and Practices cover image By Michael J. Kolen and Robert L. Brennan.
New York, NY: Springer, 2014.
Series: Statistics for Social Science and Public Policy.
"Test equating methods are used with many standardized tests in education and psychology to ensure that scores from multiple test forms can be used interchangeably. In recent years, researchers from the education, psychology, and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating. This book provides an introduction to test equating which both discusses the most frequently used equating methodologies and covers many of the practical issues involved. This second edition expands upon the coverage of the first edition by providing a new chapter on test scaling and a second on test linking. Test scaling is the process of developing score scales that are used when scores on standardized tests are reported. In test linking, scores from two or more tests are related to one another. Linking has received much recent attention, due largely to investigations of linking similarly named tests from different test publishers or tests constructed for different purposes. In recent years, researchers from the education, psychology and statistics communities have contributed to the rapidly growing statistical and psychometric methodologies used in test equating, scaling and linking. In addition to the literature covered in previous editions, this new edition presents coverage of significant recent research. In order to assist researchers, advanced graduate students and testing professionals, examples are used frequently and conceptual issues are stressed. New material includes model determination in log-linear smoothing, in-depth presentation of chained linear and equipercentile equating, equating criteria, test scoring and a new section on scores for mixed-format tests." (publisher's description)
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Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics..
Topics in Nonparametric Statistics: Proceedings of the First Conference of the International Society for Nonparametric Statistics cover image Edited by Michael G. Akritas, S.N. Lahiri, and Dimitris N. Politis.
New York, NY: Springer Science+Business Media, 2014.
Series: Springer Proceedings in Mathematics & Statistics; Volume 74.
"This volume is composed of peer-reviewed papers that have developed from the First Conference of the International Society for NonParametric Statistics (ISNPS). This inaugural conference took place in Chalkidiki, Greece, June 15-19, 2012. It was organized with the co-sponsorship of the IMS, the ISI, and other organizations. M.G. Akritas, S.N. Lahiri, and D.N. Politis are the first executive committee members of ISNPS, and the editors of this volume. ISNPS has a distinguished Advisory Committee that includes Professors R.Beran, P.Bickel, R. Carroll, D. Cook, P. Hall, R. Johnson, B. Lindsay, E. Parzen, P. Robinson, M. Rosenblatt, G. Roussas, T. SubbaRao, and G. Wahba. The Charting Committee of ISNPS consists of more than 50 prominent researchers from all over the world. The chapters in this volume bring forth recent advances and trends in several areas of nonparametric statistics. In this way, the volume facilitates the exchange of research ideas, promotes collaboration among researchers from all over the world, and contributes to the further development of the field. The conference program included over 250 talks, including special invited talks, plenary talks, and contributed talks on all areas of nonparametric statistics. Out of these talks, some of the most pertinent ones have been refereed and developed into chapters that share both research and developments in the field." (publisher's description)
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Using Statistical Methods in Social Work Practice: A Complete SPSS Guide.
Using Statistical Methods in Social Work Practice cover image By Soleman H. Abu-Bader.
Chicago, IL: Lyceum Books, ©2006.
"Using Statistics in Social Work Practice is a practical basic statistics book intended for social workers who want or need to learn SPSS. Instead of focusing on the memorization of formulas, the author discusses the purpose of each statistical test, the rationale social workers may have for choosing it, and the assumptions made by each test. Each statistical test is accompanied by an example particular to the field of social work. The book teaches students how to use SPSS to run each test, read its output, interpret, and write the results." (publisher's description)

"About the Author: Soleman H. Abu-Bader, assistant professor at Howard University, has an MSW from Augsburg College and a Ph.D. from the University of Utah. He has worked as a social work practitioner, researcher, and teacher. He is the author of several articles that focus on the elderly, welfare, and organizational behavior." (publisher's description)
UT Arlington - Central Library, Floor 4
- - HV 29 .A28 2006

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Violence, Statistics, and the Politics of Accounting for the Dead.
Violence, Statistics, and the Politics of Accounting for the Dead cover image Edited by Marc-Antoine Pérouse de Montclos, Elizabeth Minor, and Samrat Sinha.
Cham, Switzerland: Springer Science and Business Media, 2016.
Series: Demographic Transformation and Socio-Economic Development; Volume 4.
"This book examines the methodological problems of accounting for the dead in armed conflicts as well as how the process itself is open to manipulation and controversy. Inspired by the work of the International Practitioner Network of casualty recording organizations, the book features thematic analysis, case studies and historical discussion on the use of the body count towards political, humanitarian and military ends.
The book begins with a strategic analysis of the body count that introduces a general discussion on the measurement of war violence; its treatment by the media, humanitarian organizations, governments and the military; and its legal and political implications. It then examines the accounting for civilian war casualties in past and future conflicts, investigates the way the International Committee of the Red Cross has dealt with the issue of missing persons and the identification of dead bodies in armed conflicts and explores the role of statistics in aid policy debates, especially in regards to humanitarian workers." (publisher's description)
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