Guides & Bibliographies

Quantitative Research Methods

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Reference Books

The UT Arlington Library 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 Library's online catalog, PULSe <pulse.uta.edu> might be a useful research strategy. Researchers can ask questions at the Reference Desk on the 2nd floor of the UT Arlington Central Library, or call my cell phone at: (817) 675-8962 or email me at: <dillard@uta.edu>.

Encyclopedia of Measurement and Statistics.

Edited by Neil J. Salkind and Kristin Rasmussen.
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)
UT Arlington - Central Library, Floor 2: Reference (non-circulating)
- - HA 29 .S2363 2007
⇒ Also Full-Text OnLine in the Gale Virtual Reference Library Collection
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Encyclopedia of Social Measurement.

Edited by Kimberly Kempf-Leonard.
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 - Floor 2: Reference (non-circulating)
- - H 62 .E53 2005
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Encyclopedia of Statistical Sciences, 2nd edition.

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
⇒ Also Full-Text OnLine in the WileyInterscience Collection
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The SAGE Dictionary of Social Research Methods.

Edited by Victor Jupp.
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 2: Reference (non-circulating)
- - H 62 .S274 2006
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Sage Encyclopedia of Social Science Research Methods.

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 2: Reference (non-circulating)
- - H 62 .S34 2004
⇒ Also Full-Text OnLine in the Sage EReference Collection
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Academic Books and Book Chapters

The UT Arlington Library 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 Library's online catalog, PULSe <pulse.uta.edu> might be a useful research strategy. Researchers can ask questions at the Reference Desk on the 2nd floor of the UT Arlington Central Library, or call my cell phone at: (817) 675-8962 or email me at: <dillard@uta.edu>.

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Agent-Based Models.

By Nigel G. Gilbert.
Los Angeles, CA: Sage Publications, ©2008.
Series: Quantitative Applications in the Social Sciences; 153.
"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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .G527 2008
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Applied Logistic Regression Analysis, 2nd edition.

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.
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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .A5824 2008
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Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS.

By Glenn Gamst, Lawrence S. Meyers, and A.J. Guarino.
Cambridge, England; New York, NY: Cambridge University Press, 2008.
"Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new "click and shoot" SAS Enterprise Guide interface." (publisher's description)
UT Arlington - Science & Engineering Library: Books
- - QA 279 .G36 2008
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Analyzing Complex Survey Data, 2nd edition.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - QA 276 .L3394 2006
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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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .G567 1992
⇒ Also Full-Text OnLine in the netLibrary Collection
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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.
⇒ Full-Text OnLine in the netLibrary Collection
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Bayesian Methods: A Social and Behavioral Sciences Approach, 2nd edition.

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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - 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.
⇒ Full-Text OnLine in the SpringerLink Humanities, Social Science and Law Collection
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Cohort Analysis, 2nd edition.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HB 849.47 .G584 2005
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Compassionate Statistics: Applied Quantitative Analysis for Social Services: With Exercises and Instructions in SPSS.

By Vincent Edward Faherty.
Los Angeles, CA: Sage Publications, ©2008.
"Compassionate Statistics: Applied Quantitative Analysis for Social Services (With Instructions for SPSS 14.0) is an attempt to "de-mythologize" a content area that is both essential for professional social service practitioners, yet dreaded by some of the most experienced among them. Using friendly, straightforward language as well as concrete illustrations and exercises from social service practice, author Vincent E. Faherty catapults students and experienced professionals to a pragmatic level where they can handle quantitative analysis for all their research and evaluation needs." (publisher's description)
UT Arlington - Central Library (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 29 .F34 2008
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Correlation: Parametric and Nonparametric Measures.

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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 6024.5 .K73 2008
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Data Analysis Using SAS.

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.

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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Differential Equations: A Modeling Approach.

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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Foundations of Mixed Methods Research: Integrating Quantitative and Qualitative Approaches in the Social and Behavioral Sciences.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 62 .T294 2009
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Fuzzy Set Theory: Applications in the Social Sciences.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 61.25 .S652 2006
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Handbook of Forensic Anthropology and Archaeology.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - GN 69.8 .H34 2008
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Handbook of Research on Electronic Surveys and Measurements.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 31.2 .H347 2007
⇒ Also Full-Text OnLine in the Gale Virtual Reference Library Collection
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Interaction Effects in Logistic Regression.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 31.3 .J328 2001
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Introduction to Applied Bayesian Statistics and Estimation for Social Scientists.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .L964 2007
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Introduction to Generalized Linear Models.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 31.3 .D86 2006
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Introduction to Statistics for Forensic Scientists.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 8073 .L83 2005
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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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 61 .C2465 2009
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Introduction to Survival Analysis Using Stata, 2nd edition.

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
- - QA276.2 .C5 2008
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Introduction to Webometrics: Quantitative Web Research for the Social Sciences.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - ZA 4228 .T538 2009
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Latent Growth Curve Modeling.

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.

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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 61.25 .F69 2009
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Mediation Analysis.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 61.25 .I13 2008
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Microeconometrics Using Stata.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HB 139 .C36 2009
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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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 31.3 .A63 2008
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Modern Morphometrics in Physical Anthropology.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - GN 50.8 .M63 2005
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Multilevel and Longitudinal Modeling Using Stata, 2nd edition.

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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 31.3 .F693 2000
⇒ Also Full-Text OnLine in the netLibrary Collection
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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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - BF 39 .S464 1988
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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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 6024.5 .B33 2007
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Quantitative Social Research Methods.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - 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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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches, 3rd edition.

By John W. Creswell.
Thousand Oaks, CA: Sage Publications, ©2009.
"The Third Edition of the bestselling text Research Design by John W. Creswell enables readers to compare three approaches to research-qualitative, quantitative, and mixed methods-in a single research methods text. The book presents these three approaches side by side within the context of the process of research from the beginning steps of philosophical assumptions to the writing and presenting of research. Written in a user-friendly manner, Creswell's text does not rely on technical jargon. He cuts to the core of what a reader needs to know to read and design research in part by showcasing ideas in a scaffold approach so that the reader understands ideas from the simple to the complex.
Creswell's Research Design is an accessible and useful book that stimulates students through walk through experiences, use of exercises, and production of actual writing samples. It is a book that models the types of issues that best suit different approaches and allows students to understand when to use mixed methods. Furthermore, its focus on theory and paradigms is done in a way that helps students decode their meaning." (publisher's description)
UT Arlington - Central Library (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - H 62 .C6963 2009
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Sampling of Populations: Methods and Applications, 4th edition.

By Paul S. Levy and Stanley Lemeshow.
Series: Wiley Series in Survey Methodology. .
Hoboken, NJ: Wiley, ©2008.
"Now in its fourth edition, this popular sampling text has been expanded and updated to incorporate the latest methods of multistage sampling, analysis of sample survey data, software manipulation, and other recent developments, such as disclosure analysis and small area estimation. It guides the reader through real-world sample surveys from sampling designs, to problems of missing data and nonresponse, to estimation procedures and clearly explains how to create effective surveys and to analyze the information gathered." (publisher's description)
UT Arlington - Central Library (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HB 849.49 .L48 2008
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Social Network Analysis, 2nd edition.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HM 741 .K66 2008
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Social Statistics, Rev. 2d edition.

By Hubert M. Blalock, Jr.
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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .B59 1979
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Social Statistics for a Diverse Society, 4th edition.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .N25 2006
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Spatial Regression Models.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - 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.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 32 .S675 2009
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Statistical Modelling for Social Researchers: Principles and Practice.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .T28 2009
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Statistics for Sciologists.

By Margaret Jarman Hagood and Daniel O. Price.
New York, NY: Holt 1952.
UT Arlington - Central Library (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HA 29 .H2 1952
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Statistical Principles and Techniques in Scientific and Social Investigations.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - QA 276 .K715 2007
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Statistics for Anthropology.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - GN 34.3 .S7 M33 1998
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Statistics for Archaeologists: A Commonsense Approach.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - CC 80.6 .D74 1996
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Statistics for Criminal Justice and Criminology, 3rd edition.

By Dean John Champion and Richard D. Hartley.
Upper Saddle River, NJ: Pearson Prentice Hall, ©2010.
"Using a non-technical approach, this book covers the full range of statistics topics--from descriptive statistical techniques to tests of significance and measures of association for two- and k- variable combinations for different measurement levels, multiple regression and multivariate analysis, collinearity, ordinary least squares regression, part and partial correlation, error, parsimony, and robustness. Chapters are filled with examples and illustrations from contemporary criminal justice and criminology literature with an emphasis on how statistics fits into the research process and how causality is established. This edition devotes a full chapter to SPSS, includes interpretive statistical tables with explanatory headnotes and footnotes, and offers step-by-step formulae to heighten the meaningfulness of statistics for criminal justice and social science majors. An excellent reference for anyone in the criminal justice field or in general social science." (publisher's description)
UT Arlington - Central Library (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 7419.5 .C43 2010
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Statistics in Archaeology.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - CC 80.6 .B39 2003
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Statistics in Criminology and Criminal Justice: Analysis and Interpretation, 3rd edition.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 7415 .W32 2009
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Using Statistical Methods in Social Work Practice: A Complete SPSS Guide.

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 (Call Nos. A-L 4th Floor; P-Z 5th Floor)
- - HV 29 .A28 2006
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