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Structural Equation Modeling Of Multiple Rater Data

by Christian Geiser, Michael Eid e Tobias Koch

~~198,75€~~ 178,88€ 10% OFF

 From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data. Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose. Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models.
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Computerized Adaptive Testing - From Concept To Implementation

by Alper Sahin e David J. Weiss

~~219,95€~~ 197,96€ 10% OFF

 Used worldwide in assessment and professional certification contexts, computerized adaptive testing (CAT) offers a powerful means to measure individual differences or make classifications. This authoritative work provides a complete how-to guide for planning and implementing an effective CAT to create a test unique to each person in real time.
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Applied Missing Data Analysis

by Craig K. Enders

96,71€ + 10% CARD

 <B>The most user-friendly and authoritative resource on missing data has been completely revised to make room for the latest developments that make handling missing data more effective.</B> The second edition includes new methods based on factored regressions, newer model-based imputation strategies, and innovations in Bayesian analysis. State-of-the-art technical literature on missing data is translated into accessible guidelines for applied researchers and graduate students. The second edition takes an even, three-pronged approach to maximum likelihood estimation (MLE), Bayesian estimation as an alternative to MLE, and multiple imputation. Consistently organized chapters explain the rationale and procedural details for each technique and illustrate the analyses with engaging worked-through examples on such topics as young adult smoking, employee turnover, and chronic pain. The companion website (<I>www.appliedmissingdata.com</I>) includes data sets and analysis examples from the book, up-to-date software information, and other resources.<BR /> <BR /> New to This Edition<BR /> *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables.<BR /> *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics.<BR /> *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples.<BR /> *Most of the book is entirely new.
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Introduction To Mediation, Moderation, And Conditional Process Analysis - A Regression-Based Approach

by Andrew F. Hayes

102,01€ + 10% CARD

 <B>Acclaimed for its thorough presentation of mediation, moderation, and conditional process analysis, this book has been updated to reflect the latest developments in PROCESS for SPSS, SAS, and, new to this edition, R. </B>Using the principles of ordinary least squares regression, Andrew F. Hayes illustrates each step in an analysis using diverse examples from published studies, and displays SPSS, SAS, and R code for each example. Procedures are outlined for estimating and interpreting direct, indirect, and conditional effects; probing and visualizing interactions; testing hypotheses about the moderation of mechanisms; and reporting different types of analyses. Readers gain an understanding of the link between statistics and causality, as well as what the data are telling them. The companion website (<I>www.afhayes.com</I>) provides data for all the examples, plus the free PROCESS download.<BR /> <BR /> New to This Edition <ul><li> Rewritten Appendix A, which provides the only documentation of PROCESS, including a discussion of the syntax structure of PROCESS for R compared to SPSS and SAS. </li><li> Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. </li><li> Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. </li><li> Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. </li><li> Introduction of a bootstrap-based Johnson-Neyman-like approach for probing moderation of mediation in a conditional process model. </li><li> Discussion of testing for interaction between a causal antecedent variable [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis, and how to test this assumption in a new PROCESS feature. </li></ul>
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Bayesian Structural Equation Modeling

by Sarah Depaoli

96,71€ + 10% CARD

 This book offers researchers a systematic, accessible introduction to using a Bayesian framework in SEM. Chapters on each SEM model explain the Bayesian form of the model and walk readers through implementation.
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Longitudinal Structural Equation Modeling With Mplus - A Latent State-Trait Perspective

by Christian Geiser

79,49€ + 10% CARD

 An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent stateâ€"trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.
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Dyadic Data Analysis

by David A. Kenny, Deborah A. Kashy e William L. Cook

58,58€ + 10% CARD

 This book offers state-of-the-art solutions by presenting methodological and data-analytic approaches for investigating processes that take place among dyads: couples, coworkers, parent and child, or doctor and patient, to name a few.
ENGLISH

Longitudinal Structural Equation Modeling With Mplus - A Latent State-Trait Perspective

by Christian Geiser

209,35€ + 10% CARD

 An in-depth guide to executing longitudinal confirmatory factor analysis (CFA) and structural equation modeling (SEM) in Mplus, this book uses latent stateâ€"trait (LST) theory as a unifying conceptual framework, including the relevant coefficients of consistency, occasion specificity, and reliability.
ENGLISH

Theory Construction And Model-Building Skills - A Practical Guide For Social Scientists

by Jacob Jacoby e James Jaccard

83,46€ + 10% CARD

 This accessible, hands-on text has now been revised and updated, with expanded coverage of topics including how theory may emerge from exploratory data analysis. The book prepares graduate students, new researchers, and even seasoned investigators to develop their own theories and build on existing ones.
ENGLISH

Theory Construction And Model-Building Skills - A Practical Guide For Social Scientists

by Jacob Jacoby e James Jaccard

83,46€ + 10% CARD

 This accessible, hands-on text has now been revised and updated, with expanded coverage of topics including how theory may emerge from exploratory data analysis. The book prepares graduate students, new researchers, and even seasoned investigators to develop their own theories and build on existing ones.
ENGLISH

Quasi-Experimentation - A Guide To Design And Analysis

by Charles S. Reichardt

66,24€ + 10% CARD

 Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings.
ENGLISH

Conducting Personal Network Research - A Practical Guide

by Christopher Mccarty, Jose Luis Molina, Miranda J. Lubbers e Raffaele Vacca

59,61€ + 10% CARD

 Written at an introductory level and featuring engaging case examples, this book reviews the theory and practice of personal and egocentric network research. This approach offers powerful tools for capturing the impact of overlapping, changing social contexts on individuals' attitudes and behavior.
ENGLISH

Measurement Theory And Applications For The Social Sciences

by Deborah L. Bandalos

192,13€ + 10% CARD

 <DIV>Which types of validity evidence should be considered when determining whether a scale is appropriate for a given measurement situation? What about reliability evidence? Using clear explanations illustrated by examples from across the social and behavioral sciences, this engaging text prepares students to make effective decisions about the selection, administration, scoring, interpretation, and development of measurement instruments. Coverage includes the essential measurement topics of scale development, item writing and analysis, and reliability and validity, as well as more advanced topics such as exploratory and confirmatory factor analysis, item response theory, diagnostic classification models, test bias and fairness, standard setting, and equating. End-of-chapter exercises (with answers) emphasize both computations and conceptual understanding to encourage readers to think critically about the material. The companion website (<I>www.guilford.com/bandalos-materials</I>) provides annotated examples, syntax, and datasets in both SPSS and SAS (for most chapters), so that readers can redo the analyses in each chapter.</DIV>
ENGLISH

Regression Analysis And Linear Models - Concepts, Applications, And Implementation

by Andrew F. Hayes e Richard B. Darlington

205,38€ + 10% CARD

 Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences.
ENGLISH

Growth Modeling - Structural Equation And Multilevel Modeling Approaches

by Kevin J. Grimm, Nilam Ram e Ryne Estabrook

102,01€ + 10% CARD

 Growth models are among the core methods for analyzing how and when people change. Discussing both structural equation and multilevel modeling approaches, this book leads readers step by step through applying each model to longitudinal data to answer particular research questions.
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Intensive Longitudinal Methods - An Introduction To Diary And Experience Sampling Research

by Jean-Philippe Laurenceau e Niall Bolger

71,54€ + 10% CARD

 <DIV>This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (<I>www.intensivelongitudinal.com</I>).</DIV>
ENGLISH

Confirmatory Factor Analysis For Applied Research

by Timothy A. Brown

83,46€ + 10% CARD

 <DIV>With its emphasis on practical and conceptual aspects, rather than mathematics or formulas, this accessible book has established itself as the go-to resource on confirmatory factor analysis (CFA). Detailed, worked-through examples drawn from psychology, management, and sociology studies illustrate the procedures, pitfalls, and extensions of CFA methodology. The text shows how to formulate, program, and interpret CFA models using popular latent variable software packages (LISREL, Mplus, EQS, SAS/CALIS); understand the similarities and differences between CFA and exploratory factor analysis (EFA); and report results from a CFA study. It is filled with useful advice and tables that outline the procedures. The companion website (<I>www.guilford.com/brown3-materials</I>) offers data and program syntax files for most of the research examples, as well as links to CFA-related resources.<BR /><BR /> New to This Edition<BR /> *Updated throughout to incorporate important developments in latent variable modeling.<BR /> *Chapter on Bayesian CFA and multilevel measurement models.<BR /> *Addresses new topics (with examples): exploratory structural equation modeling, bifactor analysis, measurement invariance evaluation with categorical indicators, and a new method for scaling latent variables.<BR /> *Utilizes the latest versions of major latent variable software packages.</DIV>
ENGLISH

Data Analysis With Mplus

by Christian Geiser

66,24€ + 10% CARD

 <DIV>A practical introduction to using Mplus for the analysis of multivariate data, this volume provides step-by-step guidance, complete with real data examples, numerous screen shots, and output excerpts. The author shows how to prepare a data set for import in Mplus using SPSS. He explains how to specify different types of models in Mplus syntax and address typical caveats--for example, assessing measurement invariance in longitudinal SEMs. Coverage includes path and factor analytic models as well as mediational, longitudinal, multilevel, and latent class models. Specific programming tips and solution strategies are presented in boxes in each chapter. The companion website (www.guilford.com/geiser-materials) features data sets, annotated syntax files, and output for all of the examples. Of special utility to instructors and students, many of the examples can be run with the free demo version of Mplus.</div>
ENGLISH

Doing Statistical Mediation And Moderation

by Paul E. Jose

71,54€ + 10% CARD

 <DIV><P>Written in a friendly, conversational style, this book offers a hands-on approach to statistical mediation and moderation for both beginning researchers and those familiar with modeling. Starting with a gentle review of regression-based analysis, Paul Jose covers basic mediation and moderation techniques before moving on to advanced topics in multilevel modeling, structural equation modeling, and hybrid combinations, such as moderated mediation. User-friendly features include numerous graphs and carefully worked-through examples; "Helpful Suggestions" about procedures and pitfalls; "Knowledge Boxes" delving into special topics, such as dummy coding; and end-of-chapter exercises and problems (with answers). The companion website (<I>www.guilford.com/jose-materials</I>) provides downloadable data and syntax files for the book''s examples and exercises, as well as links to Jose''s online programs, MedGraph and ModGraph. Appendices present SPSS, Amos, and Mplus syntax for conducting the key types of analyses.</P></DIV>
ENGLISH

Psychometric Methods - Theory Into Practice

by Larry R. Price

112,61€ + 10% CARD

 <DIV>Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.</DIV>
ENGLISH

Hypothesis Testing And Model Selection In The Social Sciences

by David L. Weakliem

79,49€ + 10% CARD

 Examining the major approaches to hypothesis testing and model selection, this book blends statistical theory with recommendations for practice, illustrated with real-world social science examples.
ENGLISH

Missing Data - A Gentle Introduction

by Aurelio Jose Figueredo, Katherine M. Mcknight, Patrick E. Mcknight e Souraya Sidani

59,61€ + 10% CARD

 Provides a methodology for the control and prevention of missing data. This volume helps the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study's conclusions.
ENGLISH

The Theory And Practice Of Item Response Theory

by R. J. De Ayala

102,01€ + 10% CARD

 <B>Noted for addressing both the "hows" and "whys" of item response theory (IRT), this text has been revised and updated with the latest techniques (multilevel models, mixed models, and more) and software packages. </B>Simple to more complex models are covered in consistently formatted chapters that build sequentially. The book takes the reader from model development through the fit analysis and interpretation phases that would be performed in practice. To facilitate understanding, common data sets are used across chapters, with the examples worked through for increasingly complex models. Exemplary model applications include free (BIGSTEPS, NOHARM, Facets, R packages) and commercial (BILOG-MG, flexMIRT, SAS, WINMIRA, SPSS, SYSTAT) software packages. The companion website provides data files and online-only appendices.<BR />  <BR />  New to This Edition<BR /> *Chapter on multilevel models.<BR /> *New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics.<BR /> *Many additional worked-through examples.<BR /> *Updated guidance on software; now includes R, SAS, and flexMIRT.<BR />
ENGLISH

Applied Meta-Analysis For Social Science Research

by Noel A. Card

60,94€ + 10% CARD

 <DIV><P>Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs.</P><P> </P></DIV>

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