A Gentle Introduction to Stata Second Edition

Author: Alan C. Acock
Publisher: Stata Press
ISBN: 9781597180436
Release Date: 2008-09-03
Genre: Computers

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.

A Gentle Introduction to Stata

Author: Alan C. Acock
Publisher: Stata Press
ISBN: 9781597180092
Release Date: 2006
Genre: Computers

Providing the basic collection of statistical procedures used by social scientists, A Gentle Introduction to Stata presents the fundamental tools to learn Stata. The book begins with showing how to enter and manage data as well as perform basic descriptive statistics and graphical analysis. It then examines standard statistical procedures from a t test, nonparametric tests, measures of association, multiple regression, and logical regression. The book ends with guidelines for future work and advanced topics. This learning source is an excellent introduction for those with little statistical software experience while also a useful reference for more knowledgeable statisticians by offering a detailed index of commands.

A Gentle Introduction to Stata Second Edition

Author: Alan C. Acock
Publisher: Stata Press
ISBN: 9781597180436
Release Date: 2008-09-03
Genre: Computers

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.

An Introduction to Stata for Health Researchers

Author: Svend Juul
Publisher: Stata Press
ISBN: 9781597180108
Release Date: 2006-03-15
Genre: Computers

Designed to assist those working in health research, An Introduction to Stata for Health Researchers, explains how to maximize the versatile Strata program for data management, statistical analysis, and graphics for research. The first nine chapters are devoted to becoming familiar with Stata and the essentials of effective data management. The text is also a valuable companion reference for more advanced users. It covers a host of useful applications for health researchers including the analysis of stratified data via epitab and regression models; linear, logistic, and Poisson regression; survival analysis including Cox regression, standardized rates, and correlation/ROC analysis of measurements.

Missing Data

Author: Patrick E. McKnight
Publisher: Guilford Press
ISBN: 9781606238202
Release Date: 2007-03-28
Genre: Social Science

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

Discovering Structural Equation Modeling Using Stata 13 Revised Edition

Author: Alan C. Acock
Publisher: Stata Press
ISBN: 1597181390
Release Date: 2013-09-10
Genre: Mathematics

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.

Essential Statistics for Public Managers and Policy Analysts

Author: Evan Berman
Publisher: CQ Press
ISBN: 9781506364292
Release Date: 2016-12-30
Genre: Political Science

Known for its brevity and student-friendly approach, Essential Statistics for Public Managers and Policy Analysts remains one of the most popular introductory books on statistics for public policy and public administration students, using carefully selected examples tailored specifically for them. The Fourth Edition continues to offer a conceptual understanding of statistics that can be applied readily to the real-life challenges of public administrators and policy analysts. The book provides examples from the areas of human resources management, organizational behavior, budgeting, and public policy to illustrate how public administrators interact with and analyze data.

Statistical Methods for the Social Sciences

Author: Alan Agresti
Publisher:
ISBN: 1292021667
Release Date: 2013-07-30
Genre: Business & Economics

The fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises. The mathematics is still downplayed, in particular probability, which is all too often a stumbling block for students. On the other hand, the text is not a cookbook. Reliance on an overly simplistic recipe-based approach to statistics is not the route to good statistical practice. Changes in the Fourth Edition: Since the first edition, the increase in computer power coupled with the continued improvement and accessibility of statistical software has had a major impact on the way social scientists analyze data. Because of this, this book does not cover the traditional shortcut hand-computational formulas and approximations. The presentation of computationally complex methods, such as regression, emphasizes interpretation of software output rather than the formulas for performing the analysis. Teh text contains numerous sample printouts, mainly in the style of SPSS and occasionaly SAS, both in chapter text and homework problems. This edition also has an appendix explaining how to apply SPSS and SAS to conduct the methods of each chapter and a website giving links to information about other software.

Statistical Methods for Social Scientists

Author: Eric A Hanushek
Publisher: Academic Press
ISBN: 9780080918570
Release Date: 2013-10-22
Genre: Mathematics

The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.

A Course in Item Response Theory and Modeling with Stata

Author: Tenko Raykov
Publisher:
ISBN: 1597182664
Release Date: 2018-01-25
Genre: Item reponse modeling

Over the past several decades, item response theory (IRT) and item response modeling (IRM) have become increasingly popular in the behavioral, educational, social, business, marketing, clinical, and health sciences. In this book, Raykov and Marcoulides begin with a nontraditional approach to IRT and IRM that is based on their connections to classical test theory, (nonlinear) factor analysis, generalized linear modeling, and logistic regression. Application-oriented discussions follow next. These cover the one-, two-, and three-parameter logistic models, polytomous item response models (with nominal or ordinal items), item and test information functions, instrument construction and development, hybrid models, differential item functioning, and an introduction to multidimensional IRT and IRM. The pertinent analytic and modeling capabilities of Stata are thoroughly discussed, highlighted, and illustrated on empirical examples from behavioral and social research.

Explorations in Classical Sociological Theory Seeing the Social World

Author: Kenneth Allan
Publisher: SAGE
ISBN: 9781412992435
Release Date: 2012-04-30
Genre: Social Science

Continually praised for its conversational tone, personal examples, and helpful pedagogical tools, the exciting Third Edition of Kenneth Allan's Explorations in Classical Sociological Theory: Seeing the Social World has been reorganized around the modern ideas of progress, knowledge, and democracy. With a historical thread woven throughout the chapters, the book presents a diverse selection of major classical theorists: marx, Spencer, Durkheim, Weber, Simmel, Mead, Schutz, Martineau Gilman, Du Bois, and Parsons. Author Kenneth Allan focuses on the specific views of each theorist, rather than schools of thought, and highlights modernity and postmodernity to help readers understand how classical theory applies to their lives.

Introduction to Applied Statistics

Author: James K. Lindsey
Publisher: Oxford University Press on Demand
ISBN: 0198528949
Release Date: 2004
Genre: Mathematics

This text is aimed at students in medicine, biology and the social sciences as well as those planning to specialize in applied statistics. It covers the basics of the design and analysis of surveys and experiments and provides an understanding of the basic principles of modeling and inference. Practical advice is provided on how to design a study, collect data, record observations accurately, detect errors, construct appropriate models, and interpret the results. The text contains many illustrative examples and exercises relating statistical principles to research. A companion web site is available with links to data sets, R codes, and an instructor's manual with teaching hints and solutions.

Data Analysis with Microsoft Excel Updated for Office 2007

Author: Kenneth N. Berk
Publisher: Cengage Learning
ISBN: 9781111792770
Release Date: 2009-08-26
Genre: Mathematics

This popular best-selling book shows students and professionals how to do data analysis with Microsoft Excel. DATA ANALYSIS WITH MICROSOFT EXCEL teaches the fundamental concepts of statistics and how to use Microsoft Excel to solve the kind of data-intensive problems that arise in business and elsewhere. Even students with no previous experience using spreadsheets will find that this text's step-by-step approach, extensive tutorials, and real-world examples make it easy to learn how to use Excel for analyzing data. A downloadable StatPlus add-in for Microsoft Excel, data sets for exercises, and interactive concept tutorials are available on the Book Companion Website. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Multiple Regression and Beyond Pearson New International Edition

Author: Timothy Z. Keith
Publisher: Pearson Higher Ed
ISBN: 9781292053806
Release Date: 2013-10-03
Genre: Social Science

This book is designed to provide a conceptually-oriented introduction to multiple regression. It is divided into two main parts: the author concentrates on multiple regression analysis in the first part and structural equation modeling in the second part.