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Discovering Structural Equation Modeling Using Stata
Discovering Structural Equation Modeling Using Stata is devoted to Stata’s sem command and all it can do. You’ll learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. The book describes each model along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. Downloadable data sets enable you to run the programs and learn in a hands-on way. A particularly exciting feature of Stata is the SEM Builder. This graphic interface for structural equation modeling allows you to draw publication-quality path diagrams and f...
Discovering Structural Equation Modeling Using Stata 13 (Revised Edition)
Discovering Structural Equation Modeling Using Stata, Revised Edition is devoted to Stata’s sem command and all it can do. Learn about its capabilities in the context of confirmatory factor analysis, path analysis, structural equation modeling, longitudinal models, and multiple-group analysis. Each model is presented along with the necessary Stata code, which is parsimonious, powerful, and can be modified to fit a wide variety of models. The datasets used are downloadable, offering a hands-on approach to learning. A particularly exciting feature of Stata is the SEM Builder. This graphical interface for structural equation modeling allows you to draw publication-quality path diagrams and fit the models without writing any programming code. When you fit a model with the SEM Builder, Stata automatically generates the complete code that you can save for future use. Use of this unique tool is extensively covered in an appendix and brief examples appear throughout the text.
Sourcebook of Family Theory and Research
Now available in paperback for classroom use!"This comprehensive text provides a rich source of perspectives on theorising about the family for scholars, researchers, and students. Another of the book′s strengths is the emphasis on multimethod approaches in family research. The book covers an impressive range of topics and issues - marital happiness, adjustment of children in divorce marriages, gay marriage, sibling ties, ethnic families of colour, stepfamilies, aggression culture, work and family, religion, and social policy, to name a few. In summary, this superb volume is highly recommended and amply reflects the many contemporary perspectives on the family." --Philip Siebler, Monash Un...
Family Diversity and Well-Being
How important is family structure? Does the perception that children of divorced parents suffer hold true under the scrutiny of research? Is the traditional two parent//two child family ideal in terms of well-being? In this volume, two leading family researchers analyze these crucial questions. Using the United States National Survey of Families and Households, they examine the four most common family types - two parent families, divorced mothers with children, remarried families and unmarried mothers - to analyze the impact of family structure versus other factors.
The Workflow of Data Analysis Using Stata
The Workflow of Data Analysis Using Stata, by J. Scott Long, is an essential productivity tool for data analysts. Long presents lessons gained from his experience and demonstrates how to design and implement efficient workflows for both one-person projects and team projects. After introducing workflows and explaining how a better workflow can make it easier to work with data, Long describes planning, organizing, and documenting your work. He then introduces how to write and debug Stata do-files and how to use local and global macros. After a discussion of conventions that greatly simplify data analysis the author covers cleaning, analyzing, and protecting data.
Sourcebook of Family Theories and Methods
Origins We call this book on theoretical orientations and methodological strategies in family studies a sourcebook because it details the social and personal roots (i.e., sources) from which these orientations and strategies flow. Thus, an appropriate way to preface this book is to talk first of its roots, its beginnings. In the mid 1980s there emerged in some quarters the sense that it was time for family studies to take stock of itself. A goal was thus set to write a book that, like Janus, would face both backward and forward a book that would give readers both a perspec tive on the past and a map for the future. There were precedents for such a project: The Handbook of Marriage and the Family edited by Harold Christensen and published in 1964; the two Contemporary Theories about theFamily volumes edited by Wesley Burr, Reuben Hill, F. Ivan Nye, and Ira Reiss, published in 1979; and the Handbook of Marriage and the Family edited by Marvin Sussman and Suzanne Steinmetz, then in production.
Applied Statistics for the Social and Health Sciences
For graduate students in the social and health sciences, featuring essential concepts and equations most often needed in scholarly publications. Uses excerpts from the scholarly literature in these fields to introduce new concepts. Uses publicly-available data that are regularly used in social and health science publications to introduce Stata code and illustrate concepts and interpretation. Thoroughly integrates the teaching of statistical theory with teaching data processing and analysis. Offers guidance about planning projects and organizing code for reproducibility Shows how to recognize critiques of the constructions, terminology, and interpretations of statistics. New edition focuses on Stata, with code integrated into the chapters (rather than appendices, as in the first edition) includes Stata’s factor variables and margins commands and Long and Freese’s (2014) spost13 commands, to simplify programming and facilitate interpretation.
Stata
Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching. Additional information about diagnostical tests ensures that these methods yield valid and correct results that live up to academic standards. Furthermore, users are instructed how...
An Introduction to Latent Variable Growth Curve Modeling
This book provides a comprehensive introduction to latent variable growth curve modeling (LGM) for analyzing repeated measures. It presents the statistical basis for LGM and its various methodological extensions, including a number of practical examples of its use. It is designed to take advantage of the reader’s familiarity with analysis of variance and structural equation modeling (SEM) in introducing LGM techniques. Sample data, syntax, input and output, are provided for EQS, Amos, LISREL, and Mplus on the book’s CD. Throughout the book, the authors present a variety of LGM techniques that are useful for many different research designs, and numerous figures provide helpful diagrams of...
APA Handbook of Research Methods in Psychology: Foundations, planning, measures, and psy
"With significant new and updated content, the second edition of the indispensable APA Handbook of Research Methods in Psychology describes techniques developed to pursue a shared understanding of why humans think, feel, and behave the way they do"--
