Lisrel Approaches To Interaction Effects In Multiple Regression
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| Author | : James Jaccard |
| Publisher | : SAGE |
| Total Pages | : 116 |
| Release | : 1996-03-21 |
| Genre | : Mathematics |
| ISBN | : 9780803971790 |
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.
| Author | : Randall E. Schumacker |
| Publisher | : Routledge |
| Total Pages | : 276 |
| Release | : 2017-07-05 |
| Genre | : Psychology |
| ISBN | : 1351562630 |
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.
| Author | : Robert L. Kaufman |
| Publisher | : SAGE Publications |
| Total Pages | : 427 |
| Release | : 2018-09-06 |
| Genre | : Social Science |
| ISBN | : 1506365361 |
"This book is remarkable in its accessible treatment of interaction effects. Although this concept can be challenging for students (even those with some background in statistics), this book presents the material in a very accessible manner, with plenty of examples to help the reader understand how to interpret their results." –Nicole Kalaf-Hughes, Bowling Green State University Offering a clear set of workable examples with data and explanations, Interaction Effects in Linear and Generalized Linear Models is a comprehensive and accessible text that provides a unified approach to interpreting interaction effects. The book develops the statistical basis for the general principles of interpretive tools and applies them to a variety of examples, introduces the ICALC Toolkit for Stata, and offers a series of start-to-finish application examples to show students how to interpret interaction effects for a variety of different techniques of analysis, beginning with OLS regression. The author’s website provides a downloadable toolkit of Stata® routines to produce the calculations, tables, and graphics for each interpretive tool discussed. Also available are the Stata® dataset files to run the examples in the book.
| Author | : Lingxin Hao |
| Publisher | : SAGE Publications |
| Total Pages | : 161 |
| Release | : 2010-05-26 |
| Genre | : Social Science |
| ISBN | : 1483342638 |
Providing basic foundations for measuring inequality from the perspective of distributional properties This monograpg reviews a set of widely used summary inequality measures, and the lesser known relative distribution method provides the basic rationale behind each measure and discusses their interconnections. It also introduces model-based decomposition of inequality over time using quantile regression. This approach enables researchers to estimate two different contributions to changes in inequality between two time points. Key Features Clear statistical explanations provide fundamental statistical basis for understanding the new modeling framework Straightforward empirical examples reinforce statistical knowledge and ready-to-use procedures Multiple approaches to assessing inequality are introduced by starting with the basic distributional property and providing connections among approaches This supplementary text is appropriate for any graduate-level, intermediate, or advanced statistics course across the social and behavioral sciences, as well as individual researchers.
| Author | : jimi adams |
| Publisher | : SAGE Publications |
| Total Pages | : 165 |
| Release | : 2019-06-03 |
| Genre | : Political Science |
| ISBN | : 1544321473 |
| Author | : Steven J. Osterlind |
| Publisher | : SAGE |
| Total Pages | : 105 |
| Release | : 2009-09-30 |
| Genre | : Mathematics |
| ISBN | : 1412954940 |
Differential Item Functioning, Second Edition is a revision of the 1983 title Test Item Bias. In the past 23 years, differential item performance has assumed a level of attention unimagined in the early 1980s. Then, only a few tests and assessment programs attended to "item bias," while doing so is now a mandatory step in any responsible assessment program. Also, technical advances, such as the widespread use of item response theory, have pushed the field of differential performance to levels of technical sophistication far beyond what was practiced years ago. This new edition presents an up-to-date description of DIF; describes varying procedures for addressing DIF in practical testing contexts; presents useful examples and studies of DIF that readers may employ as a guide in their own DIF work; and briefly describes relevant features of major statistical packages that can be employed in DIF analysis (e.g., SPSS, SAS, M+, Minitab, and Systat). This text is ideal for the measurement professional or advanced student who deals with educational or psychological assessment. Readers need only have a preliminary background in tests and measurement, including some beginning statistics and elementary algebra, in order to find this volume useful.
| Author | : Daniele Caramani |
| Publisher | : SAGE |
| Total Pages | : 129 |
| Release | : 2009 |
| Genre | : Mathematics |
| ISBN | : 1412909759 |
"Utilizing a systematic, broad approach, Introduction to the Comparative Method With Boolean Algebra gives readers the logical foundations of comparison with guided applications and is the ultimate comparative method text covering each of the current and most important issues in the field. Author Daniele Caramani discusses the elements of scientific research, including Mill's methods, Boolean algebra, classification and typologization, and necessary and sufficient conditions, and how these apply to concrete research in the social sciences." "This text is indispensable for upper-level undergraduate and graduate students as well as researchers interested in methodology, behavioral and social sciences, history, and logic."--BOOK JACKET.
| Author | : Courtney Brown |
| Publisher | : SAGE |
| Total Pages | : 121 |
| Release | : 2007-05-18 |
| Genre | : Social Science |
| ISBN | : 1412941083 |
'Differential Equations: A Modeling Approach' explains the mathematics and theory of differential equations. Graphical methods of analysis are emphasized over formal proofs, making the text even more accessible for newcomers to the subject matter.
| Author | : Roberto Franzosi |
| Publisher | : SAGE |
| Total Pages | : 201 |
| Release | : 2010 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1412925258 |
Quantitative Narrative Analysis focuses on the following issues: 1. the fundamental features of narrative (as a specific type of text genre with certain invariant linguistic properties); 2. how the invariant properties of narrative can be used to structure narrative information in ways that basic qualitative information can then be analyzed quantitatively (story grammars, or Subject-Action-Object and respective modifiers, such as Time and Space of Action); 3. reliability (and how the computer and linguistic framework of the approach greatly increase data reliability); 4. data analysis (the book does not focus on general problems of data analysis, it will show how textual data can be analyzed with numbers).
| Author | : Kristopher J. Preacher |
| Publisher | : SAGE |
| Total Pages | : 113 |
| Release | : 2008-06-27 |
| Genre | : Mathematics |
| ISBN | : 1412939550 |
"Latent Growth Curve Modeling introduces students to a strategy for modeling change over time. This volume offers a unique chance to study this useful research method with easy-to-follow examples of common growth modeling approaches. It addresses ways to fit a variety of advanced statistical models to repeated-measures data, to model change over time, and to assess individual differences in change." "This graduate-level volume is a resource for individual researchers or courses covering longitudinal data analysis, structural equation modeling, developmental methodology, and multivariate techniques."--BOOK JACKET.
