Doing Statistical Mediation and Moderation Book PDF

Doing Statistical Mediation and Moderation

  • Author : Paul E. Jose
  • Publisher : Guilford Press
  • Release Date : 2013-03-28
  • Genre : Psychology
  • Pages : 336
  • ISBN : 9781462508211

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Doing Statistical Mediation and Moderation Book Description :

"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 provides downloadable sample data sets that are used in the book to demonstrate particular analytic strategies, and explains how researchers and students can execute analyses using Jose's online programs, MedGraph and ModGraph. Appendices present SPSS, AMOS, and Mplus syntax for conducting the key types of analyses"--

Introduction to Statistical Mediation Analysis Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676147

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Introduction to Statistical Mediation Analysis Book Description :

This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

Introduction to Mediation  Moderation  and Conditional Process Analysis Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis

  • Author : Andrew F. Hayes
  • Publisher : Guilford Press
  • Release Date : 2013-04-22
  • Genre : Psychology
  • Pages : 507
  • ISBN : 9781462511273

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Introduction to Mediation Moderation and Conditional Process Analysis Book Description :

Explaining the fundamentals of mediation and moderation analysis, this engaging book also shows how to integrate the two using an innovative strategy known as conditional process analysis. Procedures are described for testing hypotheses about the mechanisms by which causal effects operate, the conditions under which they occur, and the moderation of mechanisms. Relying on the principles of ordinary least squares regression, Andrew Hayes carefully explains the estimation and interpretation of direct and indirect effects, probing and visualization of interactions, and testing of questions about moderated mediation. Examples using data from published studies illustrate how to conduct and report the analyses described in the book. Of special value, the book introduces and documents PROCESS, a macro for SPSS and SAS that does all the computations described in the book. The companion website (www.afhayes.com) offers free downloads of PROCESS plus data files for the book's examples. Unique features include: *Compelling examples (presumed media influence, sex discrimination in the workplace, and more) with real data; boxes with SAS, SPSS, and PROCESS code; and loads of tips, including how to report mediation, moderation and conditional process analyses. *Appendix that presents documentation on use and features of PROCESS. *Online supplement providing data, code, and syntax for the book's examples.

Introduction to Mediation  Moderation  and Conditional Process Analysis  Second Edition Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis Second Edition

  • Author : Andrew F. Hayes
  • Publisher : Guilford Publications
  • Release Date : 2017-12-13
  • Genre : Social Science
  • Pages : 692
  • ISBN : 9781462534654

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Introduction to Mediation Moderation and Conditional Process Analysis Second Edition Book Description :

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderat∨ using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.

Introduction to Mediation  Moderation  and Conditional Process Analysis  Second Edition Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis Second Edition

  • Author : Andrew F. Hayes
  • Publisher : Guilford Publications
  • Release Date : 2017-10-30
  • Genre : Social Science
  • Pages : 692
  • ISBN : 9781462534661

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Introduction to Mediation Moderation and Conditional Process Analysis Second Edition Book Description :

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderator; using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.

Causality in a Social World Book PDF

Causality in a Social World

  • Author : Guanglei Hong
  • Publisher : John Wiley & Sons
  • Release Date : 2015-06-12
  • Genre : Mathematics
  • Pages : 448
  • ISBN : 9781119030645

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Causality in a Social World Book Description :

Causality in a Social World introduces innovative new statistical research and strategies for investigating moderated intervention effects, mediated intervention effects, and spill-over effects using experimental or quasi-experimental data. The book uses potential outcomes to define causal effects, explains and evaluates identification assumptions using application examples, and compares innovative statistical strategies with conventional analysis methods. Whilst highlighting the crucial role of good research design and the evaluation of assumptions required for identifying causal effects in the context of each application, the author demonstrates that improved statistical procedures will greatly enhance the empirical study of causal relationship theory. Applications focus on interventions designed to improve outcomes for participants who are embedded in social settings, including families, classrooms, schools, neighbourhoods, and workplaces.

Applied Multivariate Research Book PDF

Applied Multivariate Research

  • Author : Lawrence S. Meyers
  • Publisher : SAGE Publications
  • Release Date : 2016-10-28
  • Genre : Social Science
  • Pages : 1016
  • ISBN : 9781506329789

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Applied Multivariate Research Book Description :

Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.

Statistical Methods in Psychiatry and Related Fields Book PDF

Statistical Methods in Psychiatry and Related Fields

  • Author : Ralitza Gueorguieva
  • Publisher : CRC Press
  • Release Date : 2017-11-20
  • Genre : Mathematics
  • Pages : 352
  • ISBN : 9781351647564

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Statistical Methods in Psychiatry and Related Fields Book Description :

Data collected in psychiatry and related fields are complex because outcomes are rarely directly observed, there are multiple correlated repeated measures within individuals, there is natural heterogeneity in treatment responses and in other characteristics in the populations. Simple statistical methods do not work well with such data. More advanced statistical methods capture the data complexity better, but are difficult to apply appropriately and correctly by investigators who do not have advanced training in statistics. This book presents, at a non-technical level, several approaches for the analysis of correlated data: mixed models for continuous and categorical outcomes, nonparametric methods for repeated measures and growth mixture models for heterogeneous trajectories over time. Separate chapters are devoted to techniques for multiple comparison correction, analysis in the presence of missing data, adjustment for covariates, assessment of mediator and moderator effects, study design and sample size considerations. The focus is on the assumptions of each method, applicability and interpretation rather than on technical details. Features Provides an overview of intermediate to advanced statistical methods applied to psychiatry. Takes a non-technical approach with mathematical details kept to a minimum. Includes lots of detailed examples from published studies in psychiatry and related fields. Software programs, data sets and output are available on a supplementary website. The intended audience are applied researchers with minimal knowledge of statistics, although the book could also benefit collaborating statisticians. The book, together with the online materials, is a valuable resource aimed at promoting the use of appropriate statistical methods for the analysis of repeated measures data. Ralitza Gueorguieva is a Senior Research Scientist at the Department of Biostatistics, Yale School of Public Health. She has more than 20 years experience in statistical me

An SPSS Guide for Tourism  Hospitality and Events Researchers Book PDF

An SPSS Guide for Tourism Hospitality and Events Researchers

  • Author : Rahul Pratap Singh Kaurav
  • Publisher : Routledge
  • Release Date : 2020-12-07
  • Genre : Business & Economics
  • Pages : 398
  • ISBN : 9781000176704

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An SPSS Guide for Tourism Hospitality and Events Researchers Book Description :

This is the first book to provide the student of tourism, hospitality and events with all that they need to undertake statistical analysis using SPSS for research in their industry. Employing examples directly from the tourism, hospitality and events sector, it provides a comprehensive explanation on how appropriate statistical tools and methods can be identified for this research context and provides a step-by-step demonstration on how to carry out the chosen statistical operations. Each chapter opens with a sector-specific case study reflecting current research trends and issues from a range of different countries that are affecting the industry today. It is followed by an examination of the SPSS procedures relating to the case study and various solutions are offered. The implementation of clear, step-by-step demonstrations on how to carry out statistical operations using a combination of screenshots, diagrams, and tables aids the reader’s understanding. Chapters close with thorough guidance on how to appropriately write up interpretations of the research in a report. Research implications and recommendations for tourism and hospitality businesses are also provided, to enable them to successfully create and manage research strategies in action. Adopting an interdisciplinary perspective and written by a range of industry experts from all over the globe, this book will be essential for all students and researchers in the field of tourism, hospitality, and events as well as all those in related fields with an interest in statistical data analysis.

The Reviewer   s Guide to Quantitative Methods in the Social Sciences Book PDF

The Reviewer s Guide to Quantitative Methods in the Social Sciences

  • Author : Gregory R. Hancock
  • Publisher : Routledge
  • Release Date : 2018-11-15
  • Genre : Education
  • Pages : 502
  • ISBN : 9781317627784

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The Reviewer s Guide to Quantitative Methods in the Social Sciences Book Description :

The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.

Illustrating Statistical Procedures  Finding Meaning in Quantitative Data Book PDF

Illustrating Statistical Procedures Finding Meaning in Quantitative Data

  • Author : Ray W. Cooksey
  • Publisher : Springer Nature
  • Release Date : 2020-05-14
  • Genre : Mathematics
  • Pages : 737
  • ISBN : 9789811525377

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Illustrating Statistical Procedures Finding Meaning in Quantitative Data Book Description :

This book occupies a unique position in the field of statistical analysis in the behavioural and social sciences in that it targets learners who would benefit from learning more conceptually and less computationally about statistical procedures and the software packages that can be used to implement them. This book provides a comprehensive overview of this important research skill domain with an emphasis on visual support for learning and better understanding. The primary focus is on fundamental concepts, procedures and interpretations of statistical analyses within a single broad illustrative research context. The book covers a wide range of descriptive, correlational and inferential statistical procedures as well as more advanced procedures not typically covered in introductory and intermediate statistical texts. It is an ideal reference for postgraduate students as well as for researchers seeking to broaden their conceptual exposure to what is possible in statistical analysis.

Bayesian Statistics for the Social Sciences Book PDF

Bayesian Statistics for the Social Sciences

  • Author : David Kaplan
  • Publisher : Guilford Publications
  • Release Date : 2014-07-23
  • Genre : Psychology
  • Pages : 318
  • ISBN : 9781462516513

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Bayesian Statistics for the Social Sciences Book Description :

Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, and the Bayesian central limit theorem. Part II covers Bayesian hypothesis testing, model building, and linear regression analysis, carefully explaining the differences between the Bayesian and frequentist approaches. Part III extends Bayesian statistics to multilevel modeling and modeling for continuous and categorical latent variables. Kaplan closes with a discussion of philosophical issues and argues for an "evidence-based" framework for the practice of Bayesian statistics. User-Friendly Features *Includes worked-through, substantive examples, using large-scale educational and social science databases, such as PISA (Program for International Student Assessment) and the LSAY (Longitudinal Study of American Youth). *Utilizes open-source R software programs available on CRAN (such as MCMCpack and rjags); readers do not have to master the R language and can easily adapt the example programs to fit individual needs. *Shows readers how to carefully warrant priors on the basis of empirical data. *Companion website features data and code for the book's examples, plus other resources.

Behavioral Healthcare and Technology Book PDF

Behavioral Healthcare and Technology

  • Author : Lisa Marsch
  • Publisher : Oxford University Press
  • Release Date : 2014-11-10
  • Genre : Medical
  • Pages : 368
  • ISBN : 9780199314034

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Behavioral Healthcare and Technology Book Description :

In recent years, there has been an explosion of research focused on using technology in healthcare, including web- and mobile- health assessment and intervention tools, as well as smartphone sensors and smart environments for monitoring and promoting health behavior. This work has shown that technology-based therapeutic tools offer considerable promise for monitoring and responding to individuals' health behavior in real-time. They may also function as important "clinician-extenders" or stand-alone tools, may be cost-effective and may offer countless opportunities for tailoring behavioral monitoring and intervention delivery in a manner that is optimally responsive to each individual's profile and health behavior trajectory over time. Additionally, informational and communication technologies may be used in the context of decision support tools to help individuals better understand and access treatment. Technology may enable entirely new models of healthcare both within and outside of formal systems of care and thus offers the opportunity to revolutionize healthcare delivery. This edited book defines the state of scientific research related to the development, experimental evaluation, and effective dissemination of technology-based therapeutic tools targeting behavioral health. Behavioral Healthcare and Technology provides an overview of current evidence-based approaches to leverage technology to promote behavioral health, including management of substance use, mental health, diet/exercise, medication adherence, as well as chronic disease self-management. Additionally, the book defines the state of implementation research examining models for deploying technology-based behavioral healthcare systems and integrating them into various care settings to increase the quality and reach of evidence-based behavioral healthcare while reducing costs.

Regression Analysis and Linear Models Book PDF

Regression Analysis and Linear Models

  • Author : Richard B. Darlington
  • Publisher : Guilford Publications
  • Release Date : 2016-09-27
  • Genre : Social Science
  • Pages : 661
  • ISBN : 9781462521135

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Regression Analysis and Linear Models Book Description :

Ephasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable?s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Introduction to Mediation  Moderation  and Conditional Process Analysis  Third Edition Book PDF

Introduction to Mediation Moderation and Conditional Process Analysis Third Edition

  • Author : Andrew F. Hayes
  • Publisher : Guilford Press
  • Release Date : 2022-01-26
  • Genre : Social Science
  • Pages : 732
  • ISBN : 1462549039

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Introduction to Mediation Moderation and Conditional Process Analysis Third Edition Book Description :

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 *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. *Expanded discussion of effect scaling and the difference between unstandardized, completely standardized, and partially standardized effects. *Discussion of the meaning of and how to generate the correlation between mediator residuals in a multiple-mediator model, using a new PROCESS option. *Discussion of a method for comparing the strength of two specific indirect effects that are different in sign. *Introduction of a bootstrap-based Johnson–Neyman-like approach for probing moderation of mediation in a conditional process model. *Discussion of testing for interaction between a causal antecedent variable X and a mediator M in a mediation analysis, and how to test this assumption in a new PROCESS feature.

Behavioral Data Analysis with R and Python Book PDF

Behavioral Data Analysis with R and Python

  • Author : Florent Buisson
  • Publisher : "O'Reilly Media, Inc."
  • Release Date : 2021-06-15
  • Genre : Business & Economics
  • Pages : 360
  • ISBN : 9781492061342

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Behavioral Data Analysis with R and Python Book Description :

Harness the full power of the behavioral data in your company by learning tools specifically designed for behavioral data analysis. Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis. Advanced experimental design helps you get the most out of your A/B tests, while causal diagrams allow you to tease out the causes of behaviors even when you can't run experiments. Written in an accessible style for data scientists, business analysts, and behavioral scientists, thispractical book provides complete examples and exercises in R and Python to help you gain more insight from your data--immediately. Understand the specifics of behavioral data Explore the differences between measurement and prediction Learn how to clean and prepare behavioral data Design and analyze experiments to drive optimal business decisions Use behavioral data to understand and measure cause and effect Segment customers in a transparent and insightful way

ITJEMAST 10 13  2019 Book PDF

ITJEMAST 10 13 2019

  • Author : Anonim
  • Publisher : International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies
  • Release Date :
  • Genre : Technology & Engineering
  • Pages : 231
  • ISBN : 9876543210XXX

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ITJEMAST 10 13 2019 Book Description :

International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies publishes a wide spectrum of research and technical articles as well as reviews, experiments, experiences, modelings, simulations, designs, and innovations from engineering, sciences, life sciences, and related disciplines as well as interdisciplinary/cross-disciplinary/multidisciplinary subjects. Original work is required. Article submitted must not be under consideration of other publishers for publications.

Introduction to Statistical Mediation Analysis Book PDF

Introduction to Statistical Mediation Analysis

  • Author : David MacKinnon
  • Publisher : Routledge
  • Release Date : 2012-10-02
  • Genre : Medical
  • Pages : 488
  • ISBN : 9781136676130

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Introduction to Statistical Mediation Analysis Book Description :

This volume introduces the statistical, methodological, and conceptual aspects of mediation analysis. Applications from health, social, and developmental psychology, sociology, communication, exercise science, and epidemiology are emphasized throughout. Single-mediator, multilevel, and longitudinal models are reviewed. The author's goal is to help the reader apply mediation analysis to their own data and understand its limitations. Each chapter features an overview, numerous worked examples, a summary, and exercises (with answers to the odd numbered questions). The accompanying CD contains outputs described in the book from SAS, SPSS, LISREL, EQS, MPLUS, and CALIS, and a program to simulate the model. The notation used is consistent with existing literature on mediation in psychology. The book opens with a review of the types of research questions the mediation model addresses. Part II describes the estimation of mediation effects including assumptions, statistical tests, and the construction of confidence limits. Advanced models including mediation in path analysis, longitudinal models, multilevel data, categorical variables, and mediation in the context of moderation are then described. The book closes with a discussion of the limits of mediation analysis, additional approaches to identifying mediating variables, and future directions. Introduction to Statistical Mediation Analysis is intended for researchers and advanced students in health, social, clinical, and developmental psychology as well as communication, public health, nursing, epidemiology, and sociology. Some exposure to a graduate level research methods or statistics course is assumed. The overview of mediation analysis and the guidelines for conducting a mediation analysis will be appreciated by all readers.

Growth Modeling Book PDF

Growth Modeling

  • Author : Kevin J. Grimm
  • Publisher : Guilford Publications
  • Release Date : 2016-10-17
  • Genre : Social Science
  • Pages : 537
  • ISBN : 9781462526062

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Growth Modeling Book Description :

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. It demonstrates cutting-edge ways to describe linear and nonlinear change patterns, examine within-person and between-person differences in change, study change in latent variables, identify leading and lagging indicators of change, evaluate co-occurring patterns of change across multiple variables, and more. User-friendly features include real data examples, code (for Mplus or NLMIXED in SAS, and OpenMx or nlme in R), discussion of the output, and interpretation of each model's results. User-Friendly Features *Real, worked-through longitudinal data examples serving as illustrations in each chapter. *Script boxes that provide code for fitting the models to example data and facilitate application to the reader's own data. *"Important Considerations" sections offering caveats, warnings, and recommendations for the use of specific models. *Companion website supplying datasets and syntax for the book's examples, along with additional code in SAS/R for linear mixed-effects modeling.

Psychometric Methods Book PDF

Psychometric Methods

  • Author : Larry R. Price
  • Publisher : Guilford Publications
  • Release Date : 2016-12-12
  • Genre : Social Science
  • Pages : 552
  • ISBN : 9781462524778

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Psychometric Methods Book Description :

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.