Lisrel Approaches To Interaction Effects In Multiple Regression
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LISREL Approaches to Interaction Effects in Multiple Regression by James Jaccard,Choi K Wan Pdf
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.
Interaction Effects in Multiple Regression by James Jaccard,Robert Turrisi Pdf
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.
Interaction and Nonlinear Effects in Structural Equation Modeling by Randall E. Schumacker Pdf
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.
Interaction Effects in Linear and Generalized Linear Models by Robert L. Kaufman Pdf
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 (downloadable from the Robert L. Kaufman’s website), 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 data sets and the Stata code to reproduce the results of the application examples are available online.
The SAGE Handbook of Quantitative Methods in Psychology by Roger E Millsap,Alberto Maydeu-Olivares Pdf
`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.
New Developments and Techniques in Structural Equation Modeling by George A. Marcoulides,Randall E. Schumacker Pdf
The revision of this edited volume introduces the latest issues and developments in SEM techniques. The book provides an understanding and working knowledge of advanced SEM techniques with a minimum of mathematical derivations. Includes cases & examples.
New Directions in the Study of Late Life Religiousness and Spirituality by Susan H. Mcfadden,Mark Brennan Pdf
Examine the questions of “how,” “what,” and “why” associated with religiousness and spirituality in the lives of older adults! New Directions in the Study of Late Life Religiousness and Spirituality explores new ways of thinking about a topic that was once taboo but that has now attracted considerable attention from the gerontological community. It examines various approaches to methodology and definition that are used in the study of religion, spirituality, and aging. In addition, it explores the ways that gerontological research can highlight the role of religion and spirituality in the lives of older adults. The first section will introduce you to new ways of thinking about research methodology and data analysis that can be applied to studying the complexity of older adults' religious/spiritual practice and beliefs. You'll learn several approaches to the study of phenomena that are both personal and also deeply embedded in community. The second section addresses issues of definition, exploring important questions that call for critical reflection, such as: “What are we studying?” “What social and psychological influences shape our thinking about definition?” and “Do the definitions used by gerontologists match those held by older people?” The final section moves the study of religion, spirituality, and aging beyond a focus on health and mortality to examine well-being more broadly in the context of the life experiences of older adults. Here is a small sample of what you'll learn about in New Directions in the Study of Late Life Religiousness and Spirituality: structural equation modeling—a statistical method designed to capture the dynamics inherent in the passage of time feminist qualitative methods for studying spiritual resiliency in older women spirituality as a public health issue the differences between groups of older people in the way they define religion and spirituality the psychosocial implications of two types of religious orientation—“dwelling” and “seeking” older women's responses to the experience of widowhood and to the question of whether their religious beliefs were affected by the experience how social context influences our decisions and our interpretations of people's religious beliefs, behaviors, and experiences the ways that people caring for a spouse with dementia rely on religious coping a model that delineates three different ways people relate to God in coping—and a study that asks whether these types of coping produce different outcomes for caregivers how people adjust to bereavement as a function of their beliefs about an afterlife
Modern Methods for Robust Regression by Robert Andersen Pdf
Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key concepts.
Applying Regression and Correlation by Jeremy Miles,Mark Shevlin Pdf
Takes a look at applying regression analysis in the behavioural sciences by introducing the reader to regression analysis through a simple model-building approach.
Propensity Score Methods and Applications by Haiyan Bai,M. H. Clark Pdf
A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This new QASS title specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own.
Methods of Randomization in Experimental Design by Valentim R. Alferes Pdf
In Methods of Randomization in Experimental Design, author Valentim R. Alferes presents the main procedures of random assignment and local control in between-subjects experimental designs and the counterbalancing schemes in within-subjects or cross-over experimental designs. Alferes uses a pedagogical strategy that allows the reader to implement all randomization methods by relying on the materials given in the appendices and using common features included in most word processor software. A companion website at www.sagepub.com/alferes provides downloadable IBM SPSS and R versions of SCRAED, a package that performs simple and complex random assignment in experimental design, including the 18 randomization methods presented in Chapters 2 and 3.
Randomized Response and Related Methods by James Alan Fox Pdf
Randomized response is a data collection strategy specifically designed for surveys of a sensitive nature. By establishing a probabilistic connection between question and answer, randomized response and related methods protect respondents who are asked to disclose personal information. Covering a half century of theoretical and applied research, the Second Edition of James Alan Fox’s Randomized Response and Related Methods significantly updates and expands what was, at the time, the first comprehensive and practical guide to randomized response.
Multiple Regression in Practice by William Dale Berry,Stanley Feldman Pdf
The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems.
Applied Multivariate Research by Lawrence S. Meyers,Glenn Gamst,A.J. Guarino Pdf
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.
