Download or read book LISREL Approaches to Interaction Effects in Multiple Regression written by James Jaccard and published by SAGE. This book was released on 1996-03-21 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: With detailed examples, this book demonstrates the use of the computer program LISREL and how it can be applied to the analysis of interactions in regression frameworks. The authors consider a wide range of applications including: qualitative moderator variables; longitudinal designs; and product term analysis. They describe different types of measurement error and then present a discussion of latent variable representations of measurement error which serves as the foundation for the analyses described in later chapters. Finally they offer a brief introduction to LISREL and show how it can be used to execute the analyses. Readers can use this book without any prior training in LISREL and will find it an excellent introduction to analytic methods that deal with the problem of measurement error in the analysis of interactions.
Download or read book Interaction Effects in Multiple Regression written by James Jaccard and published by SAGE. This book was released on 2003-03-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a practical introduction to conducting analyses of interaction effects in the context of multiple regression. This new edition expands coverage on the analysis of three-way interactions in multiple regression analysis.
Download or read book Interaction Effects in Multiple Regression written by and published by . This book was released on 1991 with total page 95 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Interaction and Nonlinear Effects in Structural Equation Modeling written by Randall E. Schumacker and published by Routledge. This book was released on 2017-07-05 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume provides a comprehensive presentation of the various procedures currently available for testing interaction and nonlinear effects in structural equation modeling. By focusing on various software applications, the reader should quickly be able to incorporate one of the procedures into testing interaction or nonlinear effects in their own model. Although every attempt is made to keep mathematical details to a minimum, it is assumed that the reader has mastered the equivalent of a graduate-level multivariate statistics course which includes adequate coverage of structural equation modeling. This book will be of interest to researchers and practitioners in education and the social sciences.
Download or read book Interaction Effects in Multiple Regression written by James Jaccard and published by SAGE Publications. This book was released on 2003-03-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.
Download or read book Applied Bayesian Statistics written by Scott M. Lynch and published by SAGE Publications. This book was released on 2022-10-31 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability for, social scientists. Specifically, the last two decades have seen an increase in the availability of panel data sets, other hierarchically structured data sets including spatially organized data, along with interests in life course processes and the influence of context on individual behavior and outcomes. The Bayesian approach to statistics is well-suited for these types of data and research questions. Applied Bayesian Statistics is an introduction to these methods that is geared toward social scientists. Author Scott M. Lynch makes the material accessible by emphasizing application more than theory, explaining the math in a step-by-step fashion, and demonstrating the Bayesian approach in analyses of U.S. political trends drawing on data from the General Social Survey.
Download or read book Confirmatory Factor Analysis written by J. Micah Roos and published by SAGE Publications. This book was released on 2021-10-06 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: confirmatory factor analysis, with examples in every chapter draw from national survey data. Data to replicate the examples are available on a companion website, along with code in R, Stata, and Mplus.
Download or read book Rasch Models for Solving Measurement Problems written by George Engelhard, Jr. and published by SAGE Publications. This book was released on 2021-01-26 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Authors George Engelhard Jr and Jue Wang introduce Rasch measurement theory step by step, with chapters on scale construction, evaluation, maintenance, and use. Points are illustrated and techniques are demonstrated through an extended example: The Food Insecurity Experience (FIE) Scale.
Download or read book Argument Based Validation in Testing and Assessment written by Carol A. Chapelle and published by SAGE Publications. This book was released on 2020-01-10 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Carol A. Chapelle shows readers how to design validation research for tests of human capacities and performance. Any test that is used to make decisions about people or programs should have undergone extensive research to demonstrate that the scores are actually appropriate for their intended purpose. Argument-Based Validation in Testing and Assessment is intended to help close the gap between theory and practice, by introducing, explaining, and demonstrating how test developers can formulate the overall design for their validation research from an argument-based perspective.
Download or read book Q Methodology written by Bruce McKeown and published by SAGE Publications. This book was released on 2013-06-11 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Direct, well-organized, and easy to follow, Q Methodology, Second Edition, by Bruce McKeown and Dan B. Thomas, reviews the philosophical foundations of subjective communicability (concourse theory), operant subjectivity, and quantum-theoretical aspects of Q as relevant to the social and behavioral sciences. The authors discuss data-gathering techniques (communication concourses, Q samples, and Q sorting), statistical techniques (correlation and factor analysis and the important calculation of factor scores), and strategies for conducting small person-sample research along Q methodological lines.
Download or read book Exploratory Factor Analysis written by W. Holmes Finch and published by SAGE Publications. This book was released on 2019-09-05 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: A firm knowledge of factor analysis is key to understanding much published research in the social and behavioral sciences. Exploratory Factor Analysis by W. Holmes Finch provides a solid foundation in exploratory factor analysis (EFA), which along with confirmatory factor analysis, represents one of the two major strands in this field. The book lays out the mathematical foundations of EFA; explores the range of methods for extracting the initial factor structure; explains factor rotation; and outlines the methods for determining the number of factors to retain in EFA. The concluding chapter addresses a number of other key issues in EFA, such as determining the appropriate sample size for a given research problem, and the handling of missing data. It also offers brief introductions to exploratory structural equation modeling, and multilevel models for EFA. Example computer code, and the annotated output for all of the examples included in the text are available on an accompanying website.
Download or read book Applying Regression and Correlation written by Jeremy Miles and published by SAGE. This book was released on 2001-03-08 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
Download or read book Agent Based Models written by Nigel Gilbert and published by SAGE Publications. This book was released on 2019-11-15 with total page 129 pages. Available in PDF, EPUB and Kindle. Book excerpt: The second edition of this popular book introduces agent-based modeling, an increasingly popular approach enabling researchers to build models where individual entities and their interactions are directly represented.
Download or read book Applied Multivariate Research written by Lawrence S. Meyers and published by SAGE. This book was released on 2013 with total page 1105 pages. Available in PDF, EPUB and Kindle. Book excerpt: For me the comprehensive nature of the text is most important - even when I don't cover topics in class students gain value by being able to read about cluster analysis or ROC analysis in enough detail that they can conduct their own analyses. Students appreciate the integration with SPSS. There is an appropriate balance of "practice" and background so that students learn what they need to know about the techniques but also learn how to implement and interpret the analysis.
Download or read book Analyzing Textual Information written by Johannes Ledolter and published by SAGE Publications. This book was released on 2021-05-05 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources to enrich the use of this book are available on an accompanying website. These resources include data files from the 39th Congress, and also the collection of tweets of President Trump, now no longer available to researchers via Twitter itself.
Download or read book Nonrecursive Models written by Pamela Paxton and published by SAGE Publications. This book was released on 2011-03-08 with total page 145 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.
Download or read book Applied Regression written by Colin Lewis-Beck and published by SAGE Publications. This book was released on 2015-06-18 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: Known for its readability and clarity, this Second Edition of the best-selling Applied Regression provides an accessible introduction to regression analysis for social scientists and other professionals who want to model quantitative data. After covering the basic idea of fitting a straight line to a scatter of data points, the text uses clear language to explain both the mathematics and assumptions behind the simple linear regression model. Authors Colin Lewis-Beck and Michael Lewis-Beck then cover more specialized subjects of regression analysis, such as multiple regression, measures of model fit, analysis of residuals, interaction effects, multicollinearity, and prediction. Throughout the text, graphical and applied examples help explain and demonstrate the power and broad applicability of regression analysis for answering scientific questions.
