Download Applied Statistics for the Social and Health Sciences by Rachel A. Gordon PDF

By Rachel A. Gordon

Applied information for the Social and health and wellbeing Sciences presents graduate scholars within the social and health and wellbeing sciences with the fundamental abilities that they should estimate, interpret, current, and post statistical versions utilizing modern criteria. The e-book objectives the social and healthiness technology branches resembling human improvement, public wellbeing and fitness, sociology, psychology, schooling, and social paintings during which scholars deliver a variety of mathematical abilities and feature a variety of methodological affinities. For those scholars, a winning path in records won't in basic terms provide statistical content material yet also will aid them improve an appreciation for a way statistical innovations may perhaps solution many of the learn questions of curiosity to them.

This ebook is to be used in a two-semester graduate direction series masking simple univariate and bivariate statistics and regression versions for nominal and ordinal results, as well as protecting usual least squares regression.

Key positive aspects of the publication include:

  • interweaving the educating of statistical strategies with examples built for the direction from publicly-available social technology info or drawn from the literature
  • thorough integration of training statistical idea with educating facts processing and analysis
  • teaching of either SAS and Stata "side-by-side" and use of bankruptcy routines within which scholars perform programming and interpretation at the similar facts set and path workouts within which scholars can opt for their very own study questions and information set.

This publication is for a two-semester path. For a one-semester path, see

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Additional info for Applied Statistics for the Social and Health Sciences

Sample text

In Lyons’ Table 6, a green circle encloses the coefficient estimate of a three-way interaction between social control, percentage white in 1990, and percentage change in black between 1990 and 2000 which is relevant to the defended communities hypothesis. The asterisks indicate that the interaction is significant. It is difficult to interpret this interaction based only on the results in Lyons’ Table 6. 1a) provides additional results from the model that aid in interpretation of the interaction results (we will detail how to calculate such results in Part 2).

We focus especially on concepts and techniques that are needed either to publish basic regression analyses in journals in the relevant fields (for goals 1–3) or read publications using these models in those journals (for goal 4). At every stage of the book, we attempt to look through the lens of the social scientist in training: Why do I need to know this? How is it useful to me? The book is applied in orientation, and frequently makes concepts concrete through examples based on social and health sciences data and excerpts from recent journal publications.

Cm. Includes bibliographical references and index. 1. Social sciences—Statistical methods. 2. Public health—Statistical methods. I. Title. 1 What is Regression Analysis? 1 How are our Data Stored in the Computer? 2 Why Learn Both SAS and STATA? 1 Why is a Different Approach Needed for Nominal and Ordinal Predictor Variables? 2 How Do We Define Dummy Variables? 4 Summary APPENDICES Appendix A: Summary of SAS and Stata Commands Appendix B: Examples of Data Coding, and of the SAS and Stata Interface, Commands, and Results, Based on the National Survey of Families and Households B1 Appendix C: Screenshots of Data Set Documentation Appendix D: Accessing the National Survey of Families and Households Raw Data File Appendix E: Accessing the NHIS Data Appendix F: Using SAS and Stata's Online Documentation Appendix G: Example of Hand-Calculating the Intercept, Slope, and Conditional Standard Deviation using Stylized Sample G1 Appendix H: Using Excel to Calculate and Graph Predicted Values Appendix I: Using Hayes-Cai SAS Macro for Heteroskedasticity-Consistent Standard Errors Notes Bibliography Glossary/Index PREFACE This text is intended for year-long graduate statistics sequences in masters and doctoral programs in the social and health sciences.

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