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05208aam a2200493 i 4500 001 0BC05A6E71B711EB8A4F4B2E3BECA4DB 003 SILO 005 20210218010021 008 180801s2020 caua b 001 0 eng 010 $a 2018035896 020 $a 1506371833 020 $a 9781506371832 035 $a (OCoLC)1055566700 040 $a DLC $b eng $e rda $c DLC $d OCLCO $d OCLCF $d CHVBK $d OCLCO $d CUX $d OCLCO $d SILO 042 $a pcc 050 00 $a HA32 $b .D37 2020 060 4 $a WA 950 082 00 $a 005.5/5 $2 23 100 1 $a Daniels, Lisa, $e author. 245 13 $a An introduction to statistics and data analysis using Stata : $b From research design to final report / $c Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC. 246 3 $a Introduction to statistics and data analysis using Stata® 250 $a First edition 264 1 $a Thousand Oaks, California : $b SAGE Publications, $c [2020] 300 $a xx, 370 pages : $b illustrations ; $c 24 cm 504 $a Includes bibliographical references and index. 505 0 $a 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. 520 $a "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. 630 00 $a Stata. 650 0 $a Social sciences $x Computer programs. $x Computer programs. 650 0 $a Quantitative research $x Computer programs. 650 12 $a Statistics as Topic $x methods. 650 12 $a Data Analysis. 650 12 $a Electronic Data Processing. 650 12 $a Software. 650 22 $a Research Design. 650 22 $a Models, Statistical. 650 22 $a Data Interpretation, Statistical. 650 22 $a Writing. 630 07 $a Stata. $2 fast $0 (OCoLC)fst01375322 650 7 $a Social sciences $x Computer programs. $x Computer programs. $2 fast $0 (OCoLC)fst01122984 700 1 $a Minot, Nicholas, $e author. 941 $a 1 952 $l OVUX522 $d 20220317021746.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=0BC05A6E71B711EB8A4F4B2E3BECA4DBInitiate Another SILO Locator Search