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Longitudinal Structural Equation Modeling

by Todd D. Little

246,45€ + 10% CARD

 This valuable book is now in a fully updated second edition that presents the latest developments in longitudinal structural equation modeling (SEM) and new chapters on missing data, the random intercepts cross-lagged panel model (RI-CLPM), longitudinal mixture modeling, and Bayesian SEM.
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Bayesian Statistics For The Social Sciences

by David Kaplan

198,75€ + 10% CARD

 The second edition of this practical book equips social science researchers to apply the latest Bayesian methodologies to their data analysis problems. It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical modeling.
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Machine Learning For Social And Behavioral Research

by Kevin J. Grimm, Ross Jacobucci e Zhiyong Zhang

266,33€ + 10% CARD

 This book provides the skills needed to analyze and report large, complex data sets using machine learning tools, and to understand published machine learning articles. Techniques are demonstrated using actual data (Big Five Inventory, early childhood learning, and more), with a focus on the interplay of statistical algorithm, data, and theory.
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Principles And Practice Of Structural Equation Modeling

by Rex B. Kline

325,95€ + 10% CARD

 Significantly revised, the fifth edition of the most complete, accessible text now covers all three approaches to structural equation modeling (SEM)--covariance-based SEM, nonparametric SEM (Pearl’s structural causal model), and composite SEM (partial least squares path modeling). With increased emphasis on freely available software tools such as the R lavaan package, the text uses data examples from multiple disciplines to provide a comprehensive understanding of all phases of SEM--what to know, best practices, and pitfalls to avoid. It includes exercises with answers, rules to remember, topic boxes, and new self-tests on significance testing, regression, and psychometrics. The companion website supplies helpful primers on these topics as well as data, syntax, and output for the book's examples, in files that can be opened with any basic text editor. New to This Edition <ul><li> Chapters on composite SEM, also called partial least squares path modeling or variance-based SEM; conducting SEM analyses in small samples; and recent developments in mediation analysis. </li><li> Coverage of new reporting standards for SEM analyses; piecewise SEM, also called confirmatory path analysis; comparing alternative models fitted to the same data; and issues in multiple-group SEM. </li><li> Extended tutorials on techniques for dealing with missing data in SEM and instrumental variable methods to deal with confounding of target causal effects. </li></ul> Pedagogical Features <ul><li> New self-tests of knowledge about background topics (significance testing, regression, and psychometrics) with scoring key and online primers. </li><li> End-of-chapter suggestions for further reading and exercises with answers. </li><li> Troublesome examples from real data, with guidance for handling typical problems in analyses. </li><li> Topic boxes on special issues and boxed rules to remember. </li><li> Website promoting a learn-by-doing approach, including data, extensively annotated syntax, and output files for all the book’s detailed examples. </li></ul>
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Coaching Students With Executive Skills Challenges, Second Edition

by Peg (Center For Learning And Attention Disorders, United States) Dawson e Richard Guare

74,34€ + 10% CARD

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 With 55% new material, the significantly revised second edition of this influential resource presents a refined coaching model and an expanded set of tools for helping kids and teens live up to their potential in school and beyond.
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Applied Missing Data Analysis

by Craig K. Enders

230,55€ + 10% CARD

 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. 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 (www.appliedmissingdata.com) includes data sets and analysis examples from the book, up-to-date software information, and other resources. New to This Edition *Expanded coverage of Bayesian estimation, including a new chapter on incomplete categorical variables. *New chapters on factored regressions, model-based imputation strategies, multilevel missing data-handling methods, missing not at random analyses, and other timely topics. *Presents cutting-edge methods developed since the 2010 first edition; includes dozens of new data analysis examples. *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

243,80€ + 10% CARD

 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. 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 (www.afhayes.com) provides data for all the examples, plus the free PROCESS download. 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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Theory And Practice Of Item Response Theory

by R. J. De Ayala

243,80€ + 10% CARD

 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. 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. New to This Edition *Chapter on multilevel models. *New material on loglinear models, mixed models, the linear logistic trait model, and fit statistics. *Many additional worked-through examples. *Updated guidance on software; now includes R, SAS, and flexMIRT.
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Theory Construction And Model-Building Skills, Second Edition - A Practical Guide For Social Scientists

by Jacob (Phd (Deceased), United States) Jacoby e James (New York University, United States) Jaccard

85,16€ + 10% CARD

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 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.
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Quasi-Experimentation - A Guide To Design And Analysis

by Charles S. (University Of Denver, United States) Reichardt

67,58€ + 10% CARD

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 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.
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Conducting Personal Network Research - A Practical Guide

by Christopher (University Of Florida, United States) Mccarty, Jose Luis Molina, Miranda J. Lubbers e Raffaele (University Of Florida, United States) Vacca

60,82€ + 10% CARD

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

by Christian Geiser

282,23€ + 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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Composite-Based Structural Equation Modeling - Analyzing Latent And Emergent Variables

by Jörg Henseler

217,30€ + 10% CARD

 This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM).
ENGLISH

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

by Christian (Utah State University, United States) Geiser

121,66€ + 10% CARD

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 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

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

by Christian (Utah State University, United States) Geiser

81,10€ + 10% CARD

free shipping

 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

242,48€ + 10% CARD

 Interpersonal phenomena such as attachment, conflict, person perception, helping, and influence, when studied by examining individuals in isolation, falls short of capturing their interpersonal nature. This book offers solutions to this problem by presenting data-analytic approaches useful in investigating processes that take place among dyads.
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Quasi-Experimentation - A Guide To Design And Analysis

by Charles S. Reichardt

238,50€ + 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

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

by Jacob Jacoby e James Jaccard

298,13€ + 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, Second Edition - A Practical Guide For Social Scientists

by Jacob (Phd (Deceased), United States) Jacoby e James (New York University, United States) Jaccard

128,42€ + 10% CARD

free shipping

 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

Conducting Personal Network Research - A Practical Guide

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

214,65€ + 10% CARD

 <DIV>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 relationships and contexts on individuals' attitudes and behavior. The authors provide solid guidance on the formulation of research questions; research design; data collection, including decisions about survey modes and sampling frames; the measurement of network composition and structure, including the use of name generators; and statistical modeling, from basic regression techniques to more advanced multilevel and dynamic models. Ethical issues in personal network research are addressed. User-friendly features include boxes on major published studies, end-of-chapter suggestions for further reading, and an appendix describing the main software programs used in the field. </DIV>
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Handbook Of Peer Interactions, Relationships, And Groups, Second Edition

114,90€ + 10% CARD

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 The definitive handbook on peer relations has now been significantly revised with 55% new material. Bringing together leading authorities, this volume presents cutting-edge research on the dynamics of peer interactions, their impact on multiple aspects of social development, and the causes and consequences of peer difficulties.
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Missing Data - A Gentle Introduction

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

214,65€ + 10% CARD

 <DIV><DIV>While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight''s website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data. </DIV></DIV>
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Effective Math Interventions - A Guide To Improving Whole-Number Knowledge

by Brian C. (Oklahoma State University, United States) Poncy, Robert J. (Northeastern University, United States) Volpe e Robin S. (University Of Minnesota, United States) Codding

48,66€ + 10% CARD

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 Building foundational whole-number knowledge can help put K-5 students on the path to academic success and career readiness. Filling a gap for school practitioners, this book presents step-by-step guidelines for designing and implementing classwide, small-group, and individual interventions for mathematics difficulties.
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Growth Modeling - Structural Equation And Multilevel Modeling Approaches

by Kevin J. (Arizona State University, United States) Grimm, Nilam (Stanford University, United States) Ram e Ryne (Northwestern University, United States) Estabrook

104,08€ + 10% CARD

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 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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