new textbooks in research johnston & pennypacker, methods &...

This catalog includes titles formerly published by Lawrence Erlbaum Associates (LEA).

Introductory StatisticsJudd et al., Data Analysis, 2nd Ed. ......................2

Huck, Statistical Misconceptions .........................2

Lance & Vandenberg, Statistical and Methodological Myths and Urban Legends ........................................................................3

Lomax, An Introduction to Statistical Concepts, 2nd Ed. .....................................................3

Glenberg & Andrzejewski, Learning from Data, 3rd Ed. .....................................................4

Dunn et al., Best Practices in Teaching Statistics and Research Methods in the Behavioral Sciences ........................................................................4

Intermediate StatisticsStevens, Intermediate Statistics, 3rd Ed. ..........5Lomax, Statistical Concepts, 3rd Ed. ..................5

SPSSKinnear & Gray, SPSS 16 Made Simple..............6

Bryman & Cramer, Quantitative Data Analysis with SPSS 14, 15 & 16 ...............................................6

Leech et al., SPSS for Intermediate Statistics, 3rd Ed. ............................................................................6

Morgan et al., SPSS for Introductory Statistics, 3rd Ed. ........................................................7

MATLABRosenbaum, Matlab for Behavioral Scientists .......................................................................7

Research Methods & Experimental DesignJohnston & Pennypacker, Strategies and Tactics of Behavioral Research, 3rd Ed. ..............8

Power AnalysisMurphy et al., Statistical Power Analysis,

3rd Ed. ...........................................................................9

Multivariate & Regression AnalysisRaykov & Marcoulides, An Introduction to Applied Multivariate Analysis ...............................9

Stevens, Applied Multivariate Statistics for the Social Sciences, 5th Ed. ...........................................10

Todman & Dugard, Approaching Multivariate Analysis .........................................................................10

Structural Equation & Multilevel ModelingHeck & Thomas, An Introduction to Multilevel Modeling Techniques, 2nd Ed. .............................11

Byrne, Structural Equation Modeling With EQS, 2nd Ed. ..........................................................................11

Raykov & Marcoulides, A First Course in Stuctural Equation Modeling, 2nd Ed. ...............12

New Textbooks in

2008 –2009

Research Methods & Statistics

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New Edition!

Data AnalysisA Model Comparison ApproachSecond EditionCharles M. Judd, Gary H. McClelland, University of Colorado at Boulder, USA; Carey S. Ryan, University of Nebraska at Omaha, USA

“I am absolutely delighted to report that in virtually every way I could hope for, the new edition is better. … The scholarship is top-notch. … The authors write beautifully. … I will absolutely adopt and recommend the second edition. I love it.” - J. Michael Bailey, Northwestern University“After reviewing eight potential textbooks for my … graduate statistics course, I chose this one. … The thoroughness with which the book teaches the model comparison approach allows students to understand and develop meaningful analyses of their own data.” - Deborah M. Clawson, Catholic University of America

“This text’s focus on a unifying framework and non-threatening style set it apart. … I would certainly recommend this book to a student or colleague struggling to gain an intuitive understanding of the … concepts. … The original edition was popular and influential. I expect the second edition will be as well.” - Kristopher J. Preacher, University of KansasThis completely rewritten classic text features many new examples, insights and topics, including mediational, categorical, and multilevel models. Substantially reorganized, this edition provides a briefer, more streamlined examination of data analysis. Noted for its model-comparison approach and unified framework based on the general linear model, the book provides readers with a greater understanding of a variety of statistical procedures. This consistent framework, including consistent vocabulary and notation, is used throughout to develop fewer but more powerful model building techniques. The authors show how all analysis of variance and multiple regression can be accomplished within this framework. The model-comparison approach provides several benefits:

It strengthens the intuitive understanding of the material thereby • increasing the ability to successfully analyze data in the future

It provides more control in the analysis of data so that readers can apply the • techniques to a broader spectrum of questions

It reduces the number of statistical techniques that must be memorized•It teaches readers how to become data analysts instead of statisticians. •

The book opens with an overview of data analysis. All the necessary concepts for statistical inference used throughout the book are introduced in Chapters 2 through 4. The remainder of the book builds on these models. Chapters 5–7 focus on regression analysis, followed by analysis of variance (ANOVA), mediational analyses, non-independent or correlated errors, including multilevel modeling, and outliers and error violations. The book is appreciated by all for its detailed treatment of ANOVA, multiple regression, nonindependent observations, interactive and nonlinear models of data, and its guidance for treating outliers and other problematic aspects of data analysis. Intended for advanced undergraduate or graduate courses on data analysis, statistics, and/or quantitative methods taught in psychology, education, or other behavioral and social science departments, this book also appeals to researchers who analyze data. A protected website featuring additional examples and problems with data sets, lecture notes, PowerPoint presentations, and class-tested exam questions is available to adopters. This material uses SAS but can easily be adapted to other programs. A working knowledge of basic algebra and any multiple regression program is assumed.

Contents1. Introduction to Data Analysis. 2. Simple Models: Definitions of ERROR and Parameter Estimates. 3. Simple Models: Models of ERROR and Sampling Distributions. 4. Simple Models: Statistical Inferences about Parameter Values. 5. Simple Regression: Estimating Models with a Single Continuous Predictor. 6. Multiple Regression: Models with Multiple Continuous Predictors. 7. Moderated and Non-Linear Regression Models. 8. One-Way Anova: Models with a Single Categorical Predictor. 9. Factorial ANOVA: Models with Multiple Predictors and Product Terms. 10. Models with Continuous and Categorical Predictors: ANCOVA. 11. Repeated Measures ANOVA: Models with Nonindependent Errors. 12. Continuous Predictors with Nonindependent Observations. 13. Outliers and Ill-Mannered ERROR.

September 2008: 7x10: 344pp Hb: 978-0-8058-3388-1: $59.95

New!

Statistical MisconceptionsSchuyler W. Huck University of Tennessee-Knoxville, USA

“I sometimes feel that I spend as much time getting my students to ‘unlearn’ wrong ideas as I do getting them to learn new material. ... I have always been impressed by the clarity of Dr. Huck’s writing. ... I could well imagine adopting the book as a secondary text in the graduate-level introductory psychology statistics course [and will] recommend it to students who come to me for statistical consulting.” - Scott Maxwell, University of Notre Dame“Readable, great examples ... and actually fun. ... The Internet exercises will go a long way in terms of illustrating the misconception. ... [Useful] at either the undergraduate or graduate level.” - Richard Lomax,

The Ohio State University“[An] innovative and much-needed focus on the misconceptions that abound around statistical methods. ... I consider [the author’s books] to be among the best ... available for the undergraduate curriculum.” - Joseph S. Rossi, University of Rhode IslandBrief and inexpensive, this engaging book helps readers identify and then discard fifty-two misconceptions about data and statistical summaries. The focus is on major concepts contained in typical undergraduate and graduate courses in statistics, research methods, or quantitative analysis. Fun interactive Internet exercises that further promote undoing the misconceptions are found on the book’s website.The author’s accessible discussion of each misconception has five parts:

The Misconception• – a brief description of the misunderstanding Evidence that the Misconception Exists • – examples and claimed

prevalenceWhy the Misconception is Dangerous• – consequence of having the

misunderstandingUndoing the Misconception• – how to think correctly about the concept Internet Assignment• – an interactive activity to help readers gain a

firm grasp of the statistical concept and overcome the misconception.The book’s statistical misconceptions are grouped into twelve chapters that match the topics typically taught in introductory/intermediate courses. However, each of the fifty-two discussions is self-contained, thus allowing the misconceptions to be covered in any order without confusing the reader. Organized and presented in this manner, the book is an ideal supplement for any standard textbook. Statistical Misconceptions is appropriate for courses taught in a variety of disciplines including psychology, medicine, education, nursing, business, and the social sciences. The book also will benefit independent researchers interested in undoing their statistical misconceptions.

Contents1. Descriptive Statistics. 2. Distributional Shape. 3. Bivariate Correlation. 4. Reliability and Validity. 5. Probability. 6. Sampling. 7. Estimation. 8. Hypothesis Testing. 9. t-Tests Involving One or Two Means. 10. ANOVA and ANCOVA. 11. Practical Significance, Power, and Effect Size. 12. Regression.

October 2008: 6x9: 312pp Hb: 978-0-8058-5902-7: $59.95 Pb: 978-0-8058-5904-1: £$32.95 www.psypress.com/statistical-misconceptions

Introductory Statistics

Also AvailableBestseller!Statistics As Principled ArgumentRobert P. Abelson1995: 6x9: 240pp Pb: 978-0-8058-0528-4: $36.00

www.researchmethodsarena.com 3

New!

Statistical and Methodological Myths and Urban LegendsDoctrine, Verity and Fable in the Organizational and Social SciencesCharles E. Lance & Robert J. Vandenberg (Eds.) University of Georgia, USA

“For every management researcher, this is a great book. The chapters improve one’s technical skills but also explain many, many details that one always wanted to know. I recommend this book for all researchers and graduate and doctoral students. It’s as close to a ‘must have’ as there can be.” - Tom Lee, University of Washington“The chapters in this book address topics with which every researcher has grappled, such as missing data, tests of moderating and mediating effects, dependence on self report data, and the importance of the sample of respondents available. With the increased interest and use of qualitative research, this chapter should also be

of wide interest. The book’s chapters promise to be standard citations in research papers for many years to come. Students are likely to find this book invaluable as they begin research careers. More experienced researchers will likely relate to these chapters as well, since they will have experienced the frustration associated with many of these problems firsthand.” - Neal Schmitt, Michigan State University“Misconceptions about methods are all too common in the organizational and social sciences and they impede research progress. Until now, researchers lacked a comprehensive guidebook that separates fact from fiction regarding appropriate methodological choices. Drawing on a world class team of authors, Lance and Vandenberg close the gap between “what we know” and “what we need to know” about missing data, factor analysis, moderation, mediation, structural equation modeling, sampling and many other essential methodological issues.” - Dave Ketchen, Auburn University This is the first book to provide an up-to-date review of the commonly undertaken methodology and statistics practiced in psychology and organizational studies. The goal of this book is to uncover some of the more frequently occurring legends, and provide guidance to students and researchers to help turn the legend into sound research practice. In the chapters of this book, top scholars report on various models and statistical measures. They mention the legend and the kernel of truth in that legend, the myths that have developed around the legend, and how research can best be served.Researchers and students in fields of psychology, business and social science will find this book interesting. It can be used in courses on industrial organizational psychology, management, organizational behavior, sociology, education, criminology, communication and marketing.

ContentsPreface. Part 1. Statistical Issues. D.A. Newman, Missing Data Techniques and Low Response Rates: The Role of Systematic Nonresponse Parameters. M.J. Zickar, A.A. Broadfoot, The Partial Revival of a Dead Horse? Comparing Classical Test Theory and Item Response Theory. D.L. Bandalos, M.R. Boehm, Four Common Misconceptions in Exploratory Factor Analysis. A.W. Meade, T.S. Behrend, C.E. Lance, Dr. StrangeLOVE, or: How I Learned to Stop Worrying and Love Omitted Variables. J.M. LeBreton, J. Wu, M.N. Bing, The Truth(s) on Testing for Mediation in the Social and Organizational Sciences. J.R. Edwards, Seven Deadly Myths of Testing Moderation in Organizational Research. R.J. Vandenberg, D.M. Grelle, Alternative Model Specifications in Structural Equation Modeling: Facts, Fictions, and Truth. R.S. Landis, B.D. Edwards, J.M. Cortina, On the Practice of Allowing Correlated Residuals Among Indicators in Structural Equation Models. Part 2. Methodological Issues. L.T. Eby, C.S. Hurst, M.M. Butts, Qualitative Research: The Red-Headed Stepchild in Organizational and Social Science Research? S. Highhouse, J.Z. Gillespie, Do Samples Really Matter That Much? H. Aguinis, E.E. Harden, Sample Size Rules of Thumb: Evaluating Three Common Practices. J.M. Cortina, R.S. Landis, When Small Effect Sizes Tell a Big Story, and When Large Effect Sizes Don’t. D. Chan, Why Ask Me? Are Self-Report Data Really that Bad? C.E. Lance, L.E. Baranik, A.R. Lau, E.A. Scharlau, If It Ain’t Trait It Must Be Method: (Mis)application of the Multitrait-Multimethod Design in Organizational Research. M.M. Butts, T.W.H. Ng, Chopped Liver? OK. Chopped Data? Not OK.

October 2008: 6x9: 408pp Hb: 978-0-8058-6237-9: $89.00 Pb: 978-0-8058-6238-6: $49.95

Complimentary copy available!

An Introduction to Statistical ConceptsSecond EditionRichard G. Lomax Ohio State University, USA

“The writing style and clarity … is simply the best that I have seen. Both simple and complex ideas are covered in a very approachable manner. … I find its coverage of ANOVA to be the best available.” - Tim Konold, University of Virginia“The best thing about the Lomax text is that students find it readable. It helps them understand and learn statistics. … Another valuable property … is the flexibility. … [It is] suitable for any introductory course – undergraduate or graduate.” - L. Suzanne Dancer, University of Texas, Austin“The thing that most drew me to this text was that it

properly covers everything from the basics … to ANOVA and regression without really skimping on anything. This allows me to pick and choose for my own course, and still give the students access to the background.” - Douglas C. Maynard, SUNY New PaltzUnlike many other statistics texts, this one is comprehensive and flexible enough for either a single or a two-semester course. Instructors can select only the topics that are most appropriate for their course. Its intuitive approach helps students more easily understand the concepts and interpret software results. Throughout the text, the author demonstrates how many statistical concepts relate to one another. Only the most crucial equations are included.The second edition features:

SPSS sections throughout with input, output, and APA style write-ups • using the book’s dataset

A CD with every example and problem dataset used in the text in SPSS • format

More information on confidence intervals, effect size measures, power, and • regression models

A revised sequence of the regression and ANOVA chapters for enhanced • conceptual flow

More end-of-chapter problems with more realistic data and a greater • emphasis on interpretation

An Instructor’s Resources CD is available to adopters.•The first five chapters cover basic descriptive statistics. The remainder of the text covers inferential statistics involving means, proportions, variances, and correlations, basic and advanced analysis of variance (ANOVA) and regression models. It contains a number of topics not dealt with in other texts such as robust methods, multiple comparison and nonparametric procedures, and advanced ANOVA and multiple regression models.Realistic examples from education and the behavioral sciences illustrate the concepts. Each example includes an examination of the various procedures and necessary assumptions, tips on developing an APA style write-up, and sample SPSS output. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter concludes with conceptual and computational problems, about a third of which are new to this edition. Answers to the odd-numbered problems are provided.The book is intended for a one- or a two-semester course in introductory statistics taught in education and/or behavioral science departments. Although used predominantly at the Master’s or doctoral level, the book is also used at the undergraduate level. Only a rudimentary knowledge of algebra is required.

ContentsPreface. 1. Introduction. 2. Data Representation. 3. Univariate Population Parameters and Sample Statistics. 4. The Normal Distribution and Standard Scores. 5. Introduction to Probability and Sample Statistics. 6. Introduction to Hypothesis Testing: Inferences About a Single Mean. 7. Inferences About the Difference Between Two Means. 8. Inferences About Proportions. 9. Inferences About Variances. 10. Bivariate Measures of Association. 11. One-Factor Analysis of Variance – Fixed-Effects Model. 12. Multiple Comparison Procedures. 13. Factorial Analysis of Variance – Fixed-Effects Model. 14. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. 15. Random-and Mixed-Effects Analysis of Variance Models. 16. Hierarchical and Randomized Block Analysis of Variance Models. 17. Simple Linear Regression. 18. Multiple Regression.

April 2007: 7x10: 488pp Hb with CD: 978-0-8058-5739-9: $79.95 Instructor’s CD: 978-0-8058-6389-5: Free upon adoption



Learning From DataAn Introduction to Statistical ReasoningThird EditionArthur M. Glenberg & Matthew Andrzejewski University of Wisconsin-Madison, USA

“It is a rigorous yet clear text with an emphasis on power. … I love the idea of focusing on Excel. … I … have been using Glenberg for the past four or five years. … I will seriously consider its adoption (and almost certainly will adopt it).” - Richard E. Zinbarg, Northwestern UniversityLearning from Data focuses on how to interpret psychological data and statistical results. The authors review the basics of statistical reasoning to help students better understand relevant data that affect their everyday lives. Numerous examples based on current research and events are featured throughout. To facilitate learning, authors Glenberg and Andrzejewski:

Devote extra attention to explaining the more difficult concepts and the • logic behind them

Use repetition to enhance students’ memories with multiple examples, • reintroductions of the major concepts, and a focus on these concepts in the problems

Employ a six-step procedure for describing all statistical tests from the • simplest to the most complex

Provide end-of-chapter tables to summarize the hypothesis testing • procedures introduced

Emphasizes how to choose the best procedure in the examples, problems • and endpapers

Focus on power with a separate chapter and power analyses procedures in • each chapter

Provide detailed explanations of factorial designs, interactions, and ANOVA • to help students understand the statistics used in professional journal articles.The third edition has a user-friendly approach:

Designed to be used seamlessly with Excel, all of the in-text analyses • are conducted in Excel, while the book’s CD contains files for conducting analyses in Excel, as well as text files that can be analyzed in SPSS, SAS, and Systat

Two large, real data sets integrated throughout illustrate important • concepts

Many new end-of-chapter problems (definitions, computational, and • reasoning) and many more on the companion CD

Online Instructor’s Resources include answers to all the exercises in the • book and multiple-choice test questions with answers

Boxed media reports illustrate key concepts and their relevance to real- • world issues

The inclusion of effect size in all discussions of power accurately reflects the • contemporary issues of power, effect size, and significance.Learning From Data, Third Edition is intended as a text for undergraduate or beginning graduate statistics courses in psychology, education, and other applied social and health sciences.

ContentsPreface. 1. Why Statistics? Part 1. Descriptive Statistics. 2. Frequency Distributions and Percentiles. 3. Central Tendency and Variability. 4. z Scores and Normal Distributions. Part 2. Introduction to Inferential Statistics. 5. Overview of Inferential Statistics. 6. Probability. 7. Sampling Distributions. 8. Logic of Hypothesis Testing. 9. Power. 10. Logic of Parameter Estimation. Part 3. Applications of Inferential Statistics. 11. Inferences About Population Proportions Using the z Statistic. 12. Inferences About µ When o is Unknown: The Single Sample t Test. 13. Comparing Two Populations: Independent Samples. 14. Random Sampling, Random Assignment, and Causality. 15. Comparing Two Populations: Dependent Samples. 16. Comparing Two Population Variances: The F Statistic. 17. Comparing Multiple Population Means: One-Factor ANOVA. 18. Introduction to Factorial Designs. 19. Computational Methods for the Factorial ANOVA. 20. Describing Linear Relationships: Regression. 21. Measuring the Strength of Linear Relationships: Correlation. 22. Inferences From Nominal Data: The X2 Statistic.

August 2007: 7x10: 440pp Hb with CD: 978-0-8058-4921-9: $79.95 Instructor’s resources available upon adoption. See www.researchmethodsarena.com.

Best Practices in Teaching Statistics and Research Methods in the Behavioral SciencesDana S. Dunn, Moravian College, USA; Randolph A. Smith, Kennesaw State University, USA; Bernard C. Beins, Ithaca College, USA (Eds.)

This book provides a showcase for “best practices” in teaching statistics and research methods in two- and four-year colleges and universities. It features coverage of how to: integrate these courses; promote ethical conduct; create writing programs; get students involved; create and maintain web resources; and teach online courses and computer applications. Ideal for veteran and novice educators who teach research methods and/or statistics in the behavioral and social sciences, a CD with activities that readers can customize is included.March 2007: 6x9: 312pp Hb with CD: 978-0-8058-5747-4: $99.95 Pb with CD: 978-0-8058-5746-7: $37.95

Also AvailableQuantitative Psychological ResearchA Student’s HandbookDavid Clark-Carter2004: 6¼x9¼: 664pp Hb: 978-1-84169-520-4: $98.95 Pb: 978-1-84169-225-8: $49.95

Complimentary copy available!Statistics ExplainedA Guide for Social Science StudentsSecond EditionPerry R. Hinton2004: 7x10: 400pp Hb: 978-0-415-33284-2: $70.00 Pb: 978-0-415-33285-9: $23.95

Statistics for the Behavioural SciencesAn IntroductionRiccardo Russo2003: 7x10: 256pp Hb: 978-1-84169-319-4: $80.00 Pb: 978-1-84169-320-0: $21.95

Bestseller! Statistics in Plain EnglishSecond EditionTimothy C. Urdan2005: 8½x11: 200pp Pb with CD: 978-0-8058-5241-7: $26.00



Intermediate StatisticsA Modern ApproachThird EditionJames P. Stevens University of Cincinnati, USA

“I have not found a textbook that manages the link between intermediate statistical concepts and their application better than Professor Stevens’. … The chapter on power analysis is one-of-a kind. … The conceptual and practical approach … and the emphasis on assumptions of the statistical tests … separates it from others. … This is one of the only textbooks to cover Multiple Regression and ANOVA from their own unique perspectives.” - Gordon P. Brooks, The Ohio UniversityJames Stevens’ bestselling text is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding

of the material rather than on proving the results. Definitional formulas are used on small data sets to provide conceptual insight into what is being measured. The assumptions underlying each analysis are emphasized, and the reader is shown how to test the critical assumptions using SPSS or SAS. Printouts with annotations from SAS or SPSS show how to process the data for each analysis. The annotations highlight what the numbers mean and how to interpret the results. Numerical, conceptual, and computer exercises enhance understanding. Answers are provided for half of the exercises.The book offers comprehensive coverage of one-way, power, and factorial analysis of variance, repeated measures analysis, simple and multiple regression, analysis of covariance, and HLM. Power analysis is an integral part of the book. A computer example of real data integrates many of the concepts.Highlights of the third edition include:

A new chapter on hierarchical linear modeling using HLM6•A CD containing all of the book’s data sets•New coverage of how to cross-validate multiple regression results with •

SPSS and a new section on model selection (Ch. 6)More exercises in each chapter.•

Intended for intermediate statistics or statistics II courses taught in departments of psychology, education, business, and other social and behavioral sciences, a prerequisite of introductory statistics is required. Instructor’s Resources are available to adopters.

ContentsPreface. Introduction. 1. One Way Analysis of Variance. 2. Power Analysis. 3. Factorial Analysis of Variance. 4. Repeated Measures Analysis. 5. Simple and Multiple Regression. 6. Analysis of Covariance. 7. Hierarchical Linear Modelling. Appendix A: Data Sets. Appendix B: Statistical Tables. Appendix C: Power Tables.

July 2007: 6x9: 448pp Hb with CD: 978-0-8058-5465-7: $99.95 Pb with CD: 978-0-8058-5466-4: $59.95 Instructor’s resources available upon adoption. See www.researchmethodsarena.com


Statistical ConceptsA Second CourseThird EditionRichard G. Lomax Ohio State University, USA

Statistical Concepts, Third Edition consists of the last eight chapters of Richard Lomax’s bestselling text, An Introduction to Statistical Concepts, Second Edition (see page 3). Designed for a second course in statistics, Lomax’s comprehensive and flexible coverage allows instructors to pick and choose those topics most appropriate for their course. It includes topics not found in competing texts such as the non-parametric and modern alternative procedures and advanced analysis of variance (ANOVA) and regression models. Its intuitive approach helps students more easily understand the concepts and interpret software

results. Throughout the text, the author demonstrates how many statistical concepts relate to one another. Only the most crucial equations are included. Instructor’s Resources with all of the solutions to the problems and other teaching aids are available to adopters.Statistical Concepts, Third Edition covers a number of ANOVA and regression models. Realistic examples from education and the behavioral sciences illustrate the concepts. Each example includes an examination of the various procedures and necessary assumptions, tips on developing an APA style write-up, and sample SPSS output. Useful tables of assumptions and the effects of their violation are included, along with how to test assumptions in SPSS. Each chapter concludes with conceptual and computational problems, about a third of which are new to this edition. Answers to the odd-numbered problems are provided. This book is intended for the second or intermediate course in statistics taught in education and/or behavioral science departments usually found at the Master’s or doctoral level and occasionally at the undergraduate level. A prerequisite of descriptive statistics through t-tests is assumed.

ContentsPreface. 1. One-Factor Analysis of Variance-Fixed-Effects Model. 2. Multiple Comparison Procedures. 3. Factorial Analysis of Variance-Fixed-Effects Model. 4. Introduction to Analysis of Covariance: The One-Factor Fixed-Effects Model With a Single Covariate. 5. Random-and Mixed-Effects Analysis of Variance Models. 6. Hierarchical and Randomized Block Analysis of Variance Models. 7. Simple Linear Regression. 8. Multiple Regression.

April 2007: 7x10: 272pp Pb with CD: 978-0-8058-5850-1: $59.95 Instructor’s CD: 978-0-8058-6389-5: Free upon adoption.

Intermediate Statistics

Invitation to AuthorsAre you planning to develop a textbook or monograph in Research Methods & Statistics? Do you feel there is a need for a new journal in this area? If so, we would like to hear from you. We welcome proposals covering any aspect of Research Methods & Statistics, in theory and practice, including areas in which we already publish textbooks.

Routledge is a leading international publisher in Research Methods &Statistics and related areas, with offices in the UK, USA and around theworld. Our dedicated and experienced editorial and production teams develop and produce market-leading textbooks and top-quality research-driven monographs and journals. Our e-marketing team continuously develops our online presence, including innovative ‘arenas’ for all our major areas of publication (see www.researchmethodsarena.com). We implement an integrated global marketing plan for each of our books, including worldwide mailings of promotional materials. Therefore, if you have a project in mind, there is no one better situated to make a success of your proposal.

Please send proposals to:US/Canada: Debra Riegert, Senior Editor: [email protected]/Europe/ROW: Tara Stebnicky, Commissioning Editor: [email protected]

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New! Complimentary copy available!

SPSS 16 Made SimplePaul R. Kinnear & Colin D. Gray University of Aberdeen, UK

SPSS 16 Made Simple is the latest edition of one of the most widely read textbooks in its field. As usual, every effort has been made to maintain the friendly, practical and informal style of earlier editions, while at the same time keeping the reader abreast of the latest improvements in SPSS. Each statistical technique is presented in a realistic research context and is fully illustrated with screen shots of SPSS dialog boxes and output. The book also provides guidance on the choice of statistical techniques and advice on how to report the results of statistical analysis.

The first chapter sets the scene with a survey of typical research situations, key terms and advice on the choice of statistical techniques. It also provides clear signposts to where each technique can be found in the body of the book. The next chapters introduce the reader to the use of SPSS 16, showing how to enter and describe a data set both statistically and graphically, using the powerful capabilities of the Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate.Where necessary, the coverage has been extended to include topics in which our readers have expressed particular interest: for example, in this edition there is now detailed consideration of the analysis of multiple responses; there is also more advice about the use of SPSS control language, or syntax. While being updated and expanded to cover new features, the book will continue to be useful to readers with earlier versions of SPSS.In summary, SPSS 16 Made Simple:

Gets you started with SPSS 16 •Shows you how to run an exploratory data analysis (EDA) using SPSS’s •

extensive graphics and data-handling menusReviews the elements of statistical inference •Helps you to choose appropriate statistical techniques •Warns you of the pitfalls arising from the misuse of statistics •Shows you how to report the results of a statistical analysis •Shows you how to use syntax to implement some useful procedures and •

operations Has a comprehensive index, which allows you to find a topic by several •

different routes Has a comprehensive glossary. •

For the first time, SPSS 16 Made Simple is accompanied by instructor resources, including a PowerPoint lecture course and a multiple choice question bank. For more information, please visit: www.psypress.com/spss-made-simple.

ContentsPreface. 1. Introduction. 2. Getting Started with SPSS 16. 3. Editing and Manipulating Files. 4. Exploring Your Data. 5. Graphs and Charts. 6. Comparing Averages and Frequencies: Two-Sample and One-Sample Tests. 7. The One-Way ANOVA. 8. Between Subjects Factorial Experiments. 9. Within Subjects Experiments. 10. Mixed Factorial Experiments. 11. Measuring Statistical Association. 12. Regression. 13. Analyses of Multiway Frequency Tables and Multiple Response Sets. 14. Discriminant Analysis and Logistic Regression. 15. Latent Variables: Exploratory Factor Analysis and Canonical Correlation. Appendix. Glossary. References. Index.

July 2008: 7x10: 656pp Pb: 978-1-84169-729-1: $29.95 www.psypress.com/spss-made-simple

New!

Quantitative Data Analysis with SPSS 14, 15 & 16A Guide for Social ScientistsAlan Bryman, University of Leicester, UK Duncan Cramer, Loughborough University, UK

This edition has been completely updated to accommodate the needs of users of SPSS Releases 14, 15 and 16, whilst still being applicable to those using SPSS Releases 10-13.Alan Bryman and Duncan Cramer provide a non-technical approach to quantitative data analysis and a user-friendly introduction to the widely used SPSS.No previous familiarity with computing or statistics is required to benefit from this step-by-step guide to statistical techniques, which includes: non-parametric tests; correlation; simple and multiple regression; analysis of variance and covariance; and factor analysis. The authors discuss key issues facing the newcomer

to research, such as how to decide which statistical procedure is suitable, and how to interpret the subsequent results. Each chapter contains worked examples to illustrate the points raised and ends with a comprehensive range of exercises which allow the reader to test their understanding of the topic. For the first time, the book includes a helpful glossary of key terms.The datasets used in Quantitative Data Analysis with SPSS 14, 15 & 16 are available online at www.psypress.com/brymancramer; in addition, a set of multiple-choice questions and a chapter-by-chapter PowerPoint lecture course are available here free of charge to lecturers who adopt the book.

ContentsPreface. 1. Data Analysis and the Research Process. 2. Analyzing Data with Computers: First Steps with SPSS 14, 15 and 16. 3. Analyzing Data with Computers: Further Steps with SPSS 14, 15 and 16. 4. Concepts and Their Measurement. 5. Summarizing Data. 6. Sampling and Statistical Significance. 7. Bivariate Analysis: Exploring Differences between Scores on Two Variables. 8. Bivariate Analysis: Exploring Relationships. 9. Multivariate Analysis: Exploring Differences among Three or More Variables. 10. Multivariate Analysis: Exploring Relationships among Three or More Variables. 11. Aggregating Variables: Exploratory Factor Analysis. Answers to Exercises. Glossary.

October 2008: 7x10: 400pp Hb: 978-0-415-44088-2: $89.95 Pb: 978-0-415-44089-9: $34.95 www.psypress.com/brymancramer

SPSS for Intermediate StatisticsUse and InterpretationThird EditionNancy L. Leech, University of Colorado at Denver, USA Karen C. Barrett, George A. Morgan, Colorado State University, USA

“This book is an ideal supplement for advanced courses in intermediate statistics or research methods. … Many of my Master’s students ... are a bit nervous about actually collecting and analyzing the data. This text has helped them to keep the stats within view of their research question.” - Steven Knotek, Bucknell UniversityThis book helps students learn to analyze and interpret research data using SPSS by demonstrating how to compute a variety of statistics covered in intermediate statistics courses. This edition features SPSS 15.0, but it can also be used with with SPSS 16 as well as with earlier versions. Each chapter introduces

several related statistics and provides instructions on how to run them and interpret the outputs. Each statistic is described in a userfriendly manner. The book reviews research designs and how to assess the assumptions, accuracy, and reliability of data. The authors demonstrate how to choose an appropriate statistic based on the research design and level of measurement; use SPSS to help answer research questions; and interpret and write about SPSS outputs. The examples use real data that are contained on the book’s CD.The third edition features:

Updated directions and windows for SPSS 15.0•

SPSS

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Four extra SPSS problems in each chapter for additional practice•A new chapter on multilevel linear modeling with SPSS•Post-hoc tests in addition to contrasts in the Factorial ANOVA and ANCOVA •

chapterCoverage of odd ratios and effect sizes for logistic and discriminant analyses•How to compute and interpret post-hoc power demonstrated for each •

statisticAn expanded Appendix, Getting Started and Other Useful SPSS Commands, •

including how to work with the output; import and export files; select cases; and split and merge files

Instructor’s Resources available to adopters.•SPSS for Intermediate Statistics, Third Edition provides:

The key SPSS windows needed to perform the analyses•Display of the outputs readers can expect to produce with call-out boxes to •

highlight what to focus onInterpretation sections and questions to help students better understand •

the output and write about the resultsCharts and tables to help select an appropriate statistic and interpret •

statistical significance and effect sizesLab assignments organized around the way students proceed in every step •

of a research projectAppendices on getting started with SPSS, a brief review of basic statistics, •

and answers to the odd-numbered interpretation questionsTwenty data sets on the book’s CD along with a quick reference guide and •

how to make tables and figures.This inexpensive paperback is intended as a supplemental text for advanced undergraduate or graduate courses on intermediate/advanced statistics and/or research methods taught in departments of psychology, education, human development, and other applied and health sciences, and/or for researchers in these areas looking for a handy reference for SPSS.

Contents1. Introduction and Review of Basic Statistics With SPSS. 2. Data Coding and Exploratory Analysis (EDA). Several Measures of Reliability. 3. Exploratory Factor Analysis and Principal Components Analysis. 4. Selecting and Interpreting Inferential Statistics. 5. Multiple Regression. 6. Logistic Regression and Discriminant Analysis. 7. Factorial ANOVA and ANCOVA. 8. Repeated Measures and Mixed ANOVAs. 9. Multivariate Analysis of Variance (MANOVA) and Canonical Correlation. 10. Multilevel Linear Modeling/Hierarchical Linear Modeling. Appendices.

July 2007: 8½x11: 264pp Pb with CD: 978-0-8058-6267-6: $32.50 See www.researchmethodsarena.com. Instructor’s resources available upon adoption.


SPSS for Introductory StatisticsUse and InterpretationThird EditionGeorge A. Morgan, Colorado State University, USA; Nancy L. Leech, University of Colorado at Denver, USA; Gene W. Gloeckner, Karen C. Barrett, Colorado State University, USA

Designed to help students analyze and interpret research data, this book demonstrates how to choose the appropriate statistic based on the research design, and how to interpret and write about the SPSS output. This edition features SPSS 14.0 for Windows, but can also be used with older and newer versions. SPSS for Introductory Statistics, Third Edition, provides helpful teaching tools:•AllofthekeySPSSwindowsneededtoperformthe analyses•Completeoutputswithcall-outboxestohighlightkey points

Interpretation sections and questions to help students better understand • the output

Lab assignments organized the way students proceed when they conduct a • research project

Extra SPSS problems for practice in running and interpreting SPSS•Helpful appendices on how to get started with SPSS, write research •

questions, and create tables and figuresAccompanying CD with realistic data sets•

Instructor’s Resources available to adopters.•This book is an ideal supplement for courses in statistics or research methods taught in departments of psychology, education, and other social and health sciences.

ContentsPreface. 1. Variables, Research Problems, and Questions. 2. Data Coding, Entry, and Checking. 3. Measurement and Descriptive Statistics. 4. Understanding Your Data and Checking Assumptions. 5. Data File Management. 6. Selecting and Interpreting Inferential Statistics. 7. Cross Tabulation, Chi-Square, and Nonparametric Measures of Association. 8. Correlation and Regression. 9. Comparing Two Groups with t Tests and Similar Nonparametric Tests. 10. Analysis of Variance (ANOVA). Appendix A: P.G. Cress, Getting Started and Other Useful SPSS Procedures. Appendix B: Writing Research Problems and Questions. Appendix C: D. Quick, Making Tables and Figures. Appendix D: Answers to Odd-Numbered Interpretation Questions.

2006: 8½x11: 232pp Pb with CD: 978-0-8058-6027-6: $32.95 Instructor’s resources available upon adoption. See www.researchmethodsarena.com.

Also Available SPSS for PsychologistsThird EditionNicola Brace et al.2006: 7½x10: 464pp Pb: 978-0-8058-6085-6: $39.95 This is a co-publication between LEA and Palgrave/Macmillan

Complimentary copy available!SPSS ExplainedPerry R. Hinton et al.2004: 7x10: 400pp Hb: 978-0-415-27409-8: $70.00 Pb: 978-0-415-27410-4: $29.95

MATLAB for Behavioral ScientistsDavid A. Rosenbaum Penn State University, USA

“This is an excellent text for introducing MATLAB to behavioral science students – cleanly organized, clearly written, with good examples and exercises. It is also an excellent book from which to learn MATLAB on your own.” - Charles R. Gallistel, Rutgers UniversityThis is the first book written to date specifically for behavioral scientists on how to program with a general purpose programming language. MATLAB for Behavioral Scientists is a tremendously valuable textbook that walks behavioral scientists through the computer programming process, using terms that are relevant to their concerns and appreciating their special programming needs.

Throughout the text, Rosenbaum presents each new principle with one or more illustrations of usable code. In addition, each chapter begins with suggestions regarding which actions to perform, followed by the commands required to do so. The book easily functions as a reference source so that readers can turn to a section of interest and quickly obtain the information desired. An accompanying website lists programs and code output, complete with color, motion, and sound.

ContentsIntroduction. 1. Interacting With MATLAB. 2. Matrices. 3. Calculations. 4. Contingencies. 5. Input-Output. 6. Data Types. 7. Modules and Functions. 8. Plots. 9. Lines, Shapes, and Images. 10. Three-Dimensional Graphics. 11. Animations. 12. Sounds. 13. Going On. References. Solutions for Selected Problems.

March 2007: 7x10: 288pp Hb: 978-0-8058-6227-0: $79.95 Pb: 978-0-8058-6319-2: $34.95 www.matlab-behave.com

MATLAB


New Edition!

Strategies and Tactics of Behavioral ResearchThird EditionJames M. Johnston, Auburn University, USA Henry Sutton Pennypacker, Jr., University of Florida, USA

“A top choice for methodology courses. ... I would ... adopt this text ... [and] enthusiastically recommend it to others teaching advanced undergraduates and beginning graduate students. ... Highly recommended for aspiring and experienced researchers who wish to understand and apply the conceptual underpinnings ... to the design and analysis of research projects. … [It] is the standard by which all other behavioral research methodology texts must be judged.” - R. Wayne Fuqua, Western Michigan University“It is the most comprehensive text on behavior-analytic research methods.” - David A. Wilder, Florida Institute of Technology

“Well written and easy to understand. … Appropriate for either advanced undergraduate level or Master’s level courses in behavioral analysis. … A very useful reference for students and professionals.” - James P. Whelan, The University of MemphisAlmost entirely rewritten and reformatted with many more learning tools, this classic text now has even greater appeal to today’s students. This edition features much more discussion of how research methods are relevant for practitioners, and many examples are based on field research and service delivery scenarios.This comprehensive treatment of single subject or within-subject design focuses on the strategic (the overall goal) and tactical (the methods and procedures) options available to investigators as they try to determine the most effective way of addressing research questions. The authors guide readers to consider the rationale for different ways of measuring behavior and designing experimental comparisons. At every point, the text explains the strengths and weaknesses of alternative choices so that readers can make the best decision in each situation. Highlights of the new third edition include:

Rewritten in a straightforward and accessible style for students without a • background in this area, this edition features many more field-based examples and applications

Increased focus on the application of research methods to the needs of • practitioners in measuring behavior change and evaluating interventions under field conditions

Increased use of learning aids, including a “built-in study guide”, summary • tables, figures, boxed discussions of special topics, key terms with definitions, chapter summaries, suggested readings, discussion questions and exercises, and a glossary

Instructor’s Resource materials available on a password-protected website • with digital access to figures, tables, definition of new terms by chapters, multiple choice test questions, and content from the book’s learning aids, including study guide questions, and suggested topics for class discussion and exercises.With a focus on direct behavioral measurement and within-subject design, this book is intended for advanced undergraduate or graduate courses in behavioral research methods, basic or applied behavior analysis, or single/within subject design taught in psychology, social work, education, developmental disabilities, and other social and health science programs that deal with human behavior in research or practice settings. Its comprehensive approach to designing procedures for measuring behavior and creating experimental comparisons also make it a valuable resource for investigators and professionals.

ContentsPart 1. The Natural Science of Behavior. 1. Science and Scientific Behavior. 2. Behavior as a Scientific Subject Matter. 3. Asking Experimental Questions. Part 2. Measurement. 4. Selecting and Defining Response Classes. 5. Dimensional Quantities and Units of Measurement. 6. Observing and Recording. 7. Assessing Measurement. Part 3. Design. 8. Behavioral Variability. 9. Steady States and Transitions. 10. Strategic Issues in Experimental Design. 11. Creating Experimental Designs. Part 4. Interpretation. 12. Analyzing Behavioral Data. 13. Interpreting Experiments.

September 2008: 7x10: 400pp Hb: 978-0-8058-5882-2: $70.00 www.psypress.com/behavioral-research

Research Methods & Experimental Design

Also Available The Research CompanionA Practical Guide for the Social and Health SciencesPetra M. Boynton2005: 7x8½: 208pp Hb: 978-1-84169-304-0: $61.95 Pb: 978-1-84169-305-7: $26.95

How to do ResearchA Psychologist’s GuideJonathan St B.T. Evans2005: 6x9: 136pp Hb: 978-1-84169-541-9: $61.95 Pb: 978-1-84169-542-6: $26.95

International Handbook of Survey MethodologyEdith de Leeuw, Joop Hox & Don A. Dillman (Eds.)European Association for Methodology Series2008: 6x9: 560pp Hb: 978-0-8058-5752-8: $99.95 Pb: 978-0-8058-5753-5: $34.95 www.psypress.com/european-association-for-methodology

New edition due in 2009!Research Methods in Applied SettingsAn Integrated Approach to Design and AnalysisJeffrey A. Gliner & George A. Morgan2000: 7x10: 480pp Hb: 978-0-8058-2992-1: $65.00 Instructor’s Manual Pb: 978-0-8058-3784-1: Free upon adoption

Bestseller!Designing Experiments and Analyzing DataA Model Comparison PerspectiveSecond EditionScott E. Maxwell & Harold D. Delaney2003: 6x9: 920pp Hb with CD: 978-0-8058-3718-6: $95.00 Instructor’s Manual 978-0-8058-4675-1: Free upon adoption

Bestseller!Research Design and Statistical Analysis2nd EditionJerome L. Myers & Arnold D. Well2002: 7x9: 736pp Hb with CD: 978-0-8058-4037-7: $85.00 Solutions Manual 978-0-8058-4438-2: Free upon adoption

Mixing Methods in PsychologyThe Integration of Qualitative and Quantitative Methods in Theory and PracticeZazie Todd, Brigitte Nerlich, Suzanne McKeown & David D. Clarke (Eds.)2004: 6x9: 264pp Hb: 978-0-415-18649-0: $80.00 Pb: 978-0-415-18650-6: $31.95


New Edition!

Statistical Power AnalysisA Simple and General Model for Traditional and Modern Hypothesis TestsThird EditionKevin R. Murphy, Pennsylvania State University, USA; Brett Myors, Griffith University, Australia; Allen Wolach (Retired), formerly Illinois Institute of Psychology, USA

”The change to the software is a substantial improvement and could go a long way to making power analysis more accessible. … I often field … questions along the lines of “I have 10 subjects per variable in my study – is that enough?” It would be refreshing to direct the questioner to a text that is as clear and usable as this one.” - Stephen Brand, University of Rhode Island“I see much need for a guide on power analysis among the graduate students and I think many students will benefit from reading this book. … I especially like the boxed sections. … They greatly help readers understand basic concepts.” - Jaihyun Park, Baruch College

Noted for its accessible approach, this bestseller applies power analysis to both null hypothesis and minimum-effect testing using the same basic model. Through the use of a few relatively simple procedures and examples from the behavioral and social sciences, the authors show readers with little expertise in statistical analysis how to quickly obtain the values needed to carry out the power analysis for their research. Illustrations of how these analyses work and how they can be used to understand problems of study design, to evaluate research, and to choose the appropriate criterion for defining “statistically significant” outcomes are sprinkled throughout. The book presents a simple and general model for statistical power analysis that is based on the F statistic. Statistical Power Analysis reviews how to determine:

The sample size needed to achieve desired levels of power •The level of power needed in a study •The size of effect that can be reliably detected by a study •Sensible criteria for statistical significance. •

The third edition features: Re-designed, user-friendly software at www.psypress.com/statistical-power- •

analysis that allows users to perform all of the book’s analyses on a wider range of tests and conduct significance tests, power analyses, and assessments of N and alpha

A new chapter on Complex ANOVA Designs that demonstrates the use of • power analysis in split-plot and randomized block factorial designs

New boxed sections that provide examples of power analysis in action and • unique issues that arise when applying power analyses

Expanded coverage of minimum-effect tests, the fundamentals of power • analysis and the application of these concepts to correlational studies. Ideal for students and researchers in the social, behavioral, and health sciences, business, and education, this valuable resource helps readers apply methods of power analysis to their research. PV and F tables serve as a quick reference.

Contents1. The Power of Statistical Tests. 2. A Simple and General Model for Power Analysis. 3. Power Analyses for Minimum-Effect Tests. 4. Using Power Analyses. 5. Correlation and Regression. 6. t-Tests and the Analysis of Variance. 7. Multi-Factor ANOVA Designs. 8. Split-Plot Factorial and Multivariate Analyses. 9. The Implications of Power Analyses. Appendices.October 2008: 6x9: 192pp Hb: 978-0-415-96555-2: $59.95 Pb: 978-1-84169-774-1: $29.95 www.psypress.com/statistical-power-analysis

New!

An Introduction to Applied Multivariate AnalysisTenko Raykov, Michigan State University, USA George Marcoulides, University of California, Riverside, USA

“This text is very well written and makes important connections between univariate and multivariate procedures. …[It] allows readers to understand progressive developments that build on previously established foundations … [and] provides a good conceptual understanding of multivariate procedures.” - Tim Konold, University of Virginia“The writing style ... is characterized by simplicity and clarity in explaining complex concepts. ... The main readers will be the postgraduate students in quantitative sciences ... [and] researchers in engineering, commerce, medicine, or applied science who ... desperately want to

get meaningful answers to statistical inference questions using their own data sets.” - Spiridon Penev, University of New South WalesThis comprehensive new text introduces readers to the most commonly used multivariate techniques at an introductory, nontechnical level. By focusing on the fundamentals, readers are better prepared for more advanced applied pursuits, particularly on topics that are most critical to the behavioral, social, and educational sciences. Analogies between the already familiar univariate statistics and multivariate statistics are emphasized throughout. The authors examine in detail how each multivariate technique can be implemented using SPSS and SAS and Mplus in the book’s later chapters. Important assumptions are discussed along the way along with tips for how to deal with pitfalls the reader may encounter. Mathematical formulas are used only for definitional meaning rather than as proofs.A book-specific website provides files with all of the data used in the text so readers can replicate the results. The Appendix explains the data files and its variables. The software code (for SAS and Mplus) and the menu option selections for SPSS are also discussed in the book and presented on the website. The book is distinguished by its use of latent variable modeling to address multivariate questions specific to behavioral and social scientists, including missing data analysis and longitudinal data modeling. Ideal for graduate and advanced undergraduate students in the behavioral, social, and educational sciences, this book will also appeal to researchers in these disciplines who have limited familiarity with multivariate statistics. Recommended prerequisites include an introductory statistics course with exposure to regression analysis and some familiarity with SPSS and SAS.

ContentsPreface. 1. Introduction to Multivariate Statistics. 2. Elements of Matrix Theory. 3. Data Screening and Preliminary Analyses. 4. Multivariate Analysis of Group Differences. 5. Repeated Measure Analysis of Variance. 6. Analysis of Covariance. 7. Principal Component Analysis. 8. Exploratory Factor Analysis. 9. Confirmatory Factor Analysis. 10. Discriminant Function Analysis. 11. Canonical Correlation Analysis. 12. An Introduction to the Analysis of Missing Data. 13. Multivariate Analyses of Change Processes. References. Appendix.

March 2008: 6x9: 496pp Hb: 978-0-8058-6375-8: $89.95 www.psypress.com/applied-multivariate-analysis

Multivariate & Regression Analysis

Bestseller!Statistical Power Analysis for the Behavioral SciencesSecond EditionJacob Cohen1988: 6x9: 567pp Hb: 978-0-8058-0283-2: £39.95 $75.00

Bestseller!Effect Sizes for ResearchA Broad Practical ApproachRobert J. Grissom & John J. Kim2005: 6x9: 272pp Hb: 978-0-8058-5014-7: $65.00

Power Analysis

Also Available


New Edition!

Applied Multivariate Statistics for the Social SciencesFifth EditionJames P. Stevens University of Cincinnati, USA“Of all the texts I have ever used, this is one of the very best. … Students find the book to be extremely understandable … [and] nearly all keep [it] for reference purposes. …It really is a great applied treatment of the topics. … The examples are general enough to appeal to students across disciplines. … The … computer examples are very helpful. … An extraordinarily balanced text by a highly respected author.” - Dale R. Fuqua, Oklahoma State University“I currently use Stevens. … It is the best text I have found on Multivariate stats. … Including examples in journals is a great addition. … The book’s … greatest strengths [include] comprehensive coverage of the analyses, thorough description and discussion of the assumptions for the analyses, and annotated SPSS print-outs.” - Philip Schatz, Saint Joseph’s University “The breadth and depth offered by the text stands as one of its greatest strengths. … The book’s primary strength is its exceptionally clear, even engaging prose.” - Louis M. Kyriakoudes, University of Southern MississippiThis best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The book is noted for its extensive applied coverage of MANOVA, its emphasis on statistical power, and numerous conceptual, numerical, and computer-related exercises (including answers to half ).The new edition features:

New chapters on the Hierarchical Linear Model (Ch. 15) and Structural • Equation Modeling (Ch. 16)

New exercises that feature recent top journal articles to demonstrate • the actual use of multiple regression (Ch. 3), MANOVA (Ch. 5), and repeated measures (Ch. 13)

A new appendix on the analysis of correlated observations (Ch. 6) including • excerpts from an important article by Dr. Larry Hedges

Expanded sections on obtaining non-orthogonal comparisons with SPSS • (Ch 13.) and the labeling of each factor to make it easier to identify the cells for 4 or 5 way designs (Ch. 14)

Updated versions of SPSS (15.0) and SAS (8.0) are used throughout the text • and introduced in chapter 1

A book-specific website, www.psypress.com/applied-multivariate-statistics- • for-the-social-sciences, with data sets and more.Ideal for courses on multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial ANOVA and covariance.

Contents1. Introduction. 2. Matrix Algebra. 3. Multiple Regression. 4. Two-Group Multivariate Analysis of Variance. 5. K-Group MANOVA: A Priori and Post Hoc Procedures. 6. Assumptions in MANOVA. 7. Discriminant Analysis. 8. Factorial Analysis of Variance. 9. Analysis of Covariance. 10. Stepdown Analysis. 11. Confirmatory and Exploratory Factor Analysis. 12. Canonical Correlation. 13. Repeated Measures Analysis. 14. Categorical Data Analysis: The Log Linear Model. 15. N. Beretvas, Hierarchical Linear Modeling. 16. L.R. Fabrigar, D.T. Wegenger, Structural Equation Modeling. Appendices.

February 2009: 7x10: 528pp Hb: 978-0-8058-5901-0: $129.95 Pb: 978-0-8058-5903-4: $80.00 www.psypress.com/applied-multivariate-statistics-for-the-social-sciences

Approaching Multivariate AnalysisAn Introduction for PsychologyJohn Todman, University of Dundee, UK Pat Dugard, Statistical Consultant, UK

“This book is an excellent guide for anyone using SPSS for data analysis. Especially for the more advanced techniques, the authors do an excellent job of not only illustrating the steps necessary to set up SPSS, but show a real understanding of the underlying concepts and the choices that need to be made in an intelligent analysis.” - David Howell, University of Vermont“A welcome addition to the literature on advanced quantitative methods and statistics in psychology., taking the existing texts a valuable step further. The chapters on mediation and moderation, multidimensional scaling, and the use of AMOS for path analysis are particularly useful for final year

undergraduate students and upwards.” - David Giles, Lancaster UniversityApproaching Multivariate Analysis provides an introduction to a range of advanced statistical techniques that are used in psychology, in an accessible, non-mathematical way. The authors take a practical approach with an emphasis on helping the reader to gain an understanding of what each method is for, what it does, and how it does it.Instructions on how to do the analyses and how to make sense of the results are fully illustrated with dialogue boxes and output tables from SPSS, and details of how to interpret and report the output are also provided.This book aims to get students started, and prepares them to approach more comprehensive treatments with confidence. This makes it an ideal text for psychology students, and for students and academic staff in disciplines other than psychology that use multivariate methods.

ContentsPreface. 1. Multivariate Techniques in Context. 2. Analysis of Variance (ANOVA). 3. Multivariate Analysis of Variance (MANOVA). 4. Multiple Regression. Analysis of Covariance (ANCOVA). 5. Partial Correlation, Mediation and Moderation. 6. Path Analysis. 7. Factor Analysis. 8. Discriminant Analysis and Logistic Regression. 9. Cluster Analysis. 10. Multidimensional Scaling. 11. Loglinear Models.

May 2007: 7x10: 320pp Hb: 978-0-415-39673-8: $90.00

Also Available Bestseller!Applied Multiple Regression/ Correlation Analysis for the Behavioral SciencesThird EditionJacob Cohen, Patricia Cohen, Stephen G. West & Leona S. Aiken“Anyone with an interest in or need to carry out MR will find it invaluable.” - British Journal of Mathematical and Statistical PsychologyThis classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text.2002: 7x10: 736pp Hb with CD: 978-0-8058-2223-6: $79.95


New Edition!

An Introduction to Multilevel Modeling TechniquesSecond EditionRonald H. Heck, University of Hawaii at Manoa, USA Scott L. Thomas, Claremont Graduate University, USAQuantitative Methodology Series

“An insightful and authoritative textbook. … Whether you are a newcomer to statistics or a long-time practitioner, this work is valuable both as a textbook and as a reference manual.” - Terry E. Duncan, Oregon State University“The new edition … offers an expanded introduction. … By providing real data sets and completely updated computer examples analyzed with programs like HLM, LISREL, and Mplus, the book offers readers the latest information, steps, and procedures needed to competently conduct multilevel analyses.” - George A. Marcoulides, University of California, Riverside

“Heck and Thomas provide an introduction to multilevel modeling that is not just comprehensive but also eminently readable. The authors’ broad coverage of techniques leaves the reader ready to investigate complex research questions using the latest advancements in multilevel analysis, including mixture and latent transition analyses.” - Laura Stapleton, University of Maryland Baltimore CountyThis comprehensive, applied approach to multilevel analysis is distinguished by its wide range of applications relevant to the behavioral, educational, organizational, and social sciences. Univariate and multivariate models are used to understand how to design studies and analyze data. Readers are encouraged to consider what they are investigating, their data, and the strengths and limitations of each technique before selecting their approach. Numerous examples and exercises allow readers to test their understanding of the techniques. Input programs from HLM and Mplus demonstrate how to set up and run the models.A latent variable conceptual framework is emphasized to show the commonality of the approaches and to make each technique more accessible. The first section is devoted to conceptual issues underlying multilevel modeling, while the second section develops several types of multilevel analyses including univariate regression, structural equation, growth curve and latent change, and latent variable mixture modeling. The new edition features:

New chapters on multilevel longitudinal and categorical models•80% new exercises and examples•www.psypress.com/multilevel-modeling-techniques providing datasets and •

program setups in HLM, SPSS, Mplus, and LISRELIncreased emphasis on how multilevel techniques are used to examine •

changes in individuals and organizations over time.Ideal for introductory graduate-level courses on multilevel and/or latent variable modeling, this book is intended for students and researchers in psychology, business, education, health, and sociology interested in understanding multilevel modeling. Prerequisites include an introduction to data analysis and univariate statistics.

ContentsIntroduction. 1. Investigating Organizational Structures, Processes, and Outcomes. 2. Development of Multilevel Modeling Techniques. 3. Multilevel Regression Models. 4. Defining Multilevel Latent Variables. 5. Multilevel Structural Equation Models. 6. Multilevel Longitudinal Analysis. 7. Multilevel Models with Categorical Variables. Afterword.

August 2008: 6x9: 280pp Hb: 978-1-84169-755-0: $90.00 Pb: 978-1-84169-756-7: $49.95 www.psypress.com/quantitative-methodology

Structural Equation Modeling With EQS Basic Concepts, Applications, and ProgrammingSecond EditionBarbara Byrne University of Ottawa, CanadaMultivariate Applications Series

“Recommend this as the first resource for those using EQS in their modeling endeavors.” – PsycCRITIQUESResearchers and students who want a more accessible alternative to the EQS manual will find exactly what they’re looking for in this practical text. Written specifically for those with little to no knowledge of structural equation modeling (SEM) or EQS, the author “walks” the reader through the varied steps involved in the process of testing SEM models: model specification and estimation, assessment of model fit, EQS output, and interpretation of findings. Each of the book’s numerous applications includes a statement of

the hypothesis being tested, an illustration of the model, the input and output files, tips on how to use the pull-down menus, and the data file upon which the application is based. The book carefully works through applications starting with simple single group analyses through to more advanced applications, such as a multi-group, latent growth curve, and multilevel modeling. The second edition features many new applications, a CD enclosed with the book that includes all application data, and a description of how to build models, both interactively using the BUILD-EQ interface and graphically using the EQS Diagrammer.

ContentsPreface. Part 1. Introduction. Structural Equation Models: The Basics. Using the EQS Program. Part 2. Single-Group Analyses. Application 1: Testing for the Factorial Validity of a Theoretical Construct (First-Order CFA Model). Application 2: Testing for the Factorial Validity of Scores From a Measuring Instrument (First-Order CFA Model). Application 3: Testing for the Factorial Validity of Scores from a Measuring Instrument (Second-Order CFA Model). Application 4: Testing for the Validity of a Causal Structure. Part 3. Multiple-Group Analyses. Application 5: Testing for the Factorial Invariance of a Measuring Instrument. Application 6: Testing for the Invariance of a Causal Structure. Application 7: Testing for Latent Mean Differences (First-Order CFA Model). Application 8: Testing for Latent Mean Differences (Second-Order CFA Model). Part 4. Other Important Topics. Application 9: Testing for Construct Validity: The Multitrait- Multimethod Model. Application 10: Testing for Change Over Time: The Latent Growth Curve Model. Application 11: Testing for Within-and Between-Level Variance: The Multilevel Model.

2006: 6x9: 456pp Hb with CD: 978-0-8058-4125-1: $99.95 Pb with CD: 978-0-8058-4126-8: $49.95 www.psypress.com/multivariate-applications

Structural Equation & Multilevel Modeling

Also AvailableBestseller!Structural Equation Modeling With AMOSBasic Concepts, Applications, and ProgrammingBarbara ByrneMultivariate Applications Series2000: 6x9: 352pp Hb: 978-0-8058-3322-5: $89.95 Pb: 978-0-8058-4104-6: $49.95 www.psypress.com/multivariate-applications

Bestseller!Multilevel AnalysisTechniques and ApplicationsJoop HoxQuantitative Methodology Series2002: 6x9: 320pp Hb: 978-0-8058-3218-1: $99.95 Pb: 978-0-8058-3219-8: $45.00 www.psypress.com/quantitative-methodology

Bestseller!A Beginner’s Guide to Structural Equation ModelingSecond EditionRandall E. Schumacker & Richard G. Lomax 2004: 6x9: 304pp Hb with CD: 978-0-8058-4017-9: $135.00 Pb with CD: 978-0-8058-4018-6: $59.95

A First Course in Structural Equation ModelingSecond EditionTenko Raykov, Michigan State University, USA George A. Marcoulides, University of California, Riverside, USA

Praise for the First Edition:“The book is ideal for individuals interested in learning the basics about SEM, evaluating research that employs SEM, and perhaps even performing SEM in subsequent research.” - Measurement in Physical Education and Exercise ScienceThis book introduces students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly

used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.Highlights of the second edition include:• Review of latent change (growth) analysis models at an introductory level• Coverage of the popular Mplus program• Updated examples of LISREL and EQS• A CD that contains all of the text’s LISREL, EQS, and Mplus examples.The book is intended as an introduction for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended.2006: 6x9: 248pp Hb with CD: 978-0-8058-5587-6: $79.95 Pb with CD: 978-0-8058-5588-3: $34.50

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Fundamentals of PsychologyMichael Eysenck Royal Holloway, University of London, UK

Aimed at those new to the subject, Fundamentals of Psychology is a clear and reader-friendly textbook that will help students explore and understand the essentials of psychology. This text offers a balanced and accurate representation of the discipline through a highly accessible synoptic approach, which seamlessly brings together all the various related topics. In particular, it gives sufficient emphasis to the place of cognitive psychology in the field and also includes substantial coverage of current research.

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January 2009: 8½x11: 704pp Hb: 978-1-84169-371-2: $90.00 Pb: 978-1-84169-372-9: $44.95 www.psychology-textbooks.com

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