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A Gentle Introduction to Stata, Revised Third Edition
Updated to reflect the new features of Stata 11, A Gentle Introduction to Stata, Third Edition continues to help new Stata users become proficient in Stata. After reading this introductory text, you will be able to enter, build, and manage a data set as well as perform fundamental statistical analyses. New to the Third Edition A new chapter on the analysis of missing data and the use of multiple-imputation methods Extensive revision of the chapter on ANOVA Additional material on the application of power analysis The book covers data management; good work habits, including the use of basic do-files; basic exploratory statistics, including graphical displays; and analyses using the standard array of basic statistical tools, such as correlation, linear and logistic regression, and parametric and nonparametric tests of location and dispersion. Rather than splitting these topics by their Stata implementation, the material on graphics and postestimation are woven into the text in a natural fashion. The author teaches Stata commands by using the menus and dialog boxes while still stressing the value of do-files. Each chapter includes exercises and real data sets are used throughout.
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 to family well-being and the success of family relationships? In an arena in which political rhetoric often substitutes for credible information, leading family researchers Alan Acock and David Demo separate fact from fiction regarding this crucial policy concern. Using data from the authoritative National Survey of Families and Households, the authors' work examines the four most common family types: two-parent families, divorced mothers with children, remarried families, and unwed mothers. Their meticulous analysis reveals the complexity of the questions at issue - family structure matters a great deal in some areas of family relations, and not at all in others. Leavening their sophisticated explications with ample graphics and practical examples, the authors of Family Diversity and Well-Being provide a clear, informative overview of the issues surrounding alternative family types for advanced students, professional, researchers, and policy analysts in family studies, sociology, psychology, interpersonal relationships, social policy, and gender studies.
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...
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.
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...
Applied Statistics for the Social and Health Sciences
Covering basic univariate and bivariate statistics and regression models for nominal, ordinal, and interval outcomes, Applied Statistics for the Social and Health Sciences provides graduate students in the social and health sciences with fundamental skills to estimate, interpret, and publish quantitative research using contemporary standards. Reflecting the growing importance of "Big Data" in the social and health sciences, this thoroughly revised and streamlined new edition covers best practice in the use of statistics in social and health sciences, draws upon new literatures and empirical examples, and highlights the importance of statistical programming, including coding, reproducibility, transparency, and open science. Key features of the book include: interweaving the teaching of statistical concepts with examples from publicly available social and health science data and literature excerpts; thoroughly integrating the teaching of statistical theory with the teaching of data access, processing, and analysis in Stata; recognizing debates and critiques of the origins and uses of quantitative methods.
Self-Regulation and Early School Success
Self-regulation has been identified as an important predictor of school readiness and academic achievement in young children. Children who struggle with self-regulation are at risk of experiencing peer rejection and academic difficulties. Teachers report that there is high variability in children’s self-regulatory abilities at school entry and that children with an accumulation of risk factors are especially likely to enter school without adequate self-regulation skills. Moreover, early academic skills are often cumulative, so children who fail to acquire early skills are at risk of falling behind their peers academically and facing achievement gaps that widen over time. Although the relat...
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.
