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Measurement Theory and Applications for the Social Sciences

Managing Suicidal Risk Third Edition A Collaborative Approach

Applied Missing Data Analysis

Applied Missing Data Analysis

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. | Applied Missing Data Analysis

GBP 62.99
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Bayesian Statistics for the Social Sciences Second Edition

Bayesian Statistics for the Social Sciences Second Edition

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. Clearly explaining frequentist and epistemic probability and prior distributions the second edition emphasizes use of the open-source RStan software package. The text covers Hamiltonian Monte Carlo Bayesian linear regression and generalized linear models model evaluation and comparison multilevel modeling models for continuous and categorical latent variables missing data and more. Concepts are fully illustrated with worked-through examples from large-scale educational and social science databases such as the Program for International Student Assessment and the Early Childhood Longitudinal Study. Annotated RStan code appears in screened boxes; the companion website (www. guilford. com/kaplan-materials) provides data sets and code for the book's examples. New to This Edition *Utilizes the R interface to Stan-faster and more stable than previously available Bayesian software-for most of the applications discussed. *Coverage of Hamiltonian MC; Cromwell’s rule; Jeffreys' prior; the LKJ prior for correlation matrices; model evaluation and model comparison with a critique of the Bayesian information criterion; variational Bayes as an alternative to Markov chain Monte Carlo (MCMC) sampling; and other new topics. *Chapters on Bayesian variable selection and sparsity model uncertainty and model averaging and Bayesian workflow for statistical modeling. | Bayesian Statistics for the Social Sciences Second Edition

GBP 57.99
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The Work-Smart Academic Planner Revised Edition (Wire-Bound Paperback) Write It Down Get It Done

The Work-Smart Academic Planner Revised Edition (Wire-Bound Paperback) Write It Down Get It Done

From executive skills experts Peg Dawson and Richard Guare the 8 ½” x 11” academic planner that has helped thousands of students in grades 6–12 is now revised and updated. It provides an all-in-one resource for keeping track of assignments and due dates while developing the crucial executive skills needed to succeed in school and beyond. Students are given the tools to get organized manage their time learn study strategies create daily/weekly study plans and stay on track. They are also guided to evaluate their own executive skills in order to target their weaknesses and capitalize on strengths. In addition to simplified planner pages the revised edition has an improved Studying for Tests form. User-friendly features: *Convenient spiral binding. *Three-hole punched to fit in a binder (with a new slimmer profile). *Reproducible planning forms that can be downloaded and printed for repeated use. *Undated daily and monthly calendars for one academic year. *Online-only User's Guide for school psychologists educators coaches and parents (www. guilford. com/work-smart-guide). See also the authors' Coaching Students with Executive Skills Deficits which provides additional resources and guidance for professionals working with this population plus the authoritative Executive Skills in Children and Adolescents Third Edition. Also from Dawson and Guare: Smart but Scattered parenting guides and a self-help guide for adults. | The Work-Smart Academic Planner Revised Edition (Wire-Bound Paperback) Write It Down Get It Done

GBP 14.99
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Theory Construction and Model-Building Skills A Practical Guide for Social Scientists

Theory Construction and Model-Building Skills A Practical Guide for Social Scientists

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. Concrete strategies are provided to help readers generate ideas define constructs and think through relationships and processes that link constructs. Compelling examples from multiple disciplines illustrate the use of quantitative qualitative and mixed methods orientations to theory construction. The text also offers practical advice for writing effectively about theories in papers and grant applications. Readers learn by doing via application and concept exercises demonstration boxes and practical guidelines. The extensive companion website (www. theory-construction. com) includes PowerPoint slides of all of the book’s figures primers on advanced topics video demonstrations supplemental exercises and other resources. New to This Edition *Emergent theory is now covered in mixed methods as well as qualitative approaches plus in a new chapter on exploratory quantitative methods that can help generate new theory through data mining. *Chapter on whether and how to revise a theory when faced with disconfirmatory data. *Two chapters on the theoretical underpinnings of measurement practices. *New or expanded discussions of what constitutes a theoretical contribution conceptual logic models thought experiments and more. Pedagogical Features *Application and concept exercises in every chapter. *Lists of key terms and engaging topical boxes. *Annotated suggestions for further reading. *New companion website with rich resources for students and instructors. *Chapters stand on their own and can be used in any order. | Theory Construction and Model-Building Skills A Practical Guide for Social Scientists

GBP 49.99
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Introduction to Mediation Moderation and Conditional Process Analysis A Regression-Based Approach

Introduction to Mediation Moderation and Conditional Process Analysis A Regression-Based Approach

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 [ital]X[/ital] and a mediator [ital]M[/ital] in a mediation analysis and how to test this assumption in a new PROCESS feature. | Introduction to Mediation Moderation and Conditional Process Analysis A Regression-Based Approach

GBP 65.99
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