An introduction to statistics and data analysis using Stata : from research design to final report

Preface
Acknowledgments
Part I. The research process and data collection
Chapter 1. The research process
Chapter 2. Sampling techniques
Chapter 3. Questionnaire design
Part II. Describing data
Chapter 4. An introduction to Stata
Chapter 5. Preparing and transforming your data
Chapter 6. Descriptive statistics
Part III. Testing hypotheses
Chapter 7. The normal distribution
Chapter 8. Testing a hypothesis about a single mean
Chapter 9. Testing a hypothesis about two independent means
Chapter 10. One-way analysis of variance
Chapter 11. Cross tabulation and the chi-squared test
Part IV. Exploring relationships
Chapter 12. Linear regression analysis
Chapter 13. Regression diagnostics
Chapter 14. Regression analysis with categorical dependent variables
Part V. Writing a research paper
Chapter 15. Writing a research paper
Appendices
Appendix 1. Quick reference guide to Stata commands
Appendix 2. Summary of statistical tests by chapter
Appendix 3. Decision tree for choosing the right statistic
Appendix 4. Decision rules for statistical significance
Appendix 5. Areas under the normal curve (Z scores)
Appendix 6. Critical values of the t distribution
Appendix 7. Stata code for random sampling
Appendix 8. Examples of nonlinear functions
Appendix 9. Estimating the minimum sample size
Glossary
About the authors
Name index
Subject index

"An Introduction to Statistics and Data Analysis Using Stata® : From Research Design to Final Report provides a step-by-step introduction for statistics, data analysis, and research methods classes using Stata software. Concise descriptions emphasize the concepts behind statistics rather than the derivations of the formulas. With real-world examples from a variety of disciplines and extensive detail on the commands in Stata, this text provides an integrated approach to research design, statistical analysis, and report writing for social science students. Chapters start with a summary table that identifies a research hypothesis, the appropriate statistical test, the assumptions, and the Stata code, giving students key information in an easy-to-use format. News articles illustrate the application of the statistical technique to real-world data and research. Tables listing research questions and hypotheses drawn from six social science disciplines demonstrate the range of possible applications of a statistical method. Examples of statistical methods using real data from the Admitted Student Questionnaire, General Social Survey, the National Survey on Drug Use and Health, and the School Survey on Crime and Safety. Stata functions are displayed in both code and menus to show students the links between the two ways to use Stata. Instructor materials include a set of week-by-week instructions to involve students in a group project in which they implement a survey, analyze the data, and report on the results, based on a topic of their choice. More than 50 homework and test questions (with full answer keys for instructors) help students learn data analysis skills and writing through practice on current data sets that cover college characteristics, admitted student questionnaires, social norms and opinions, drug use, and school safety."--taken from back cover