The Resource An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC
An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC
Resource Information
The item An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
 Summary
 "An Introduction to Statistics and Data Analysis Using Stata® : From Research Design to Final Report provides a stepbystep 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 realworld 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 easytouse format. News articles illustrate the application of the statistical technique to realworld 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 weekbyweek 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
 Language
 eng
 Edition
 First edition.
 Extent
 xx, 370 pages
 Contents

 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. Oneway analysis of variance
 Chapter 11. Cross tabulation and the chisquared 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
 Isbn
 9781506371832
 Label
 An introduction to statistics and data analysis using Stata : from research design to final report
 Title
 An introduction to statistics and data analysis using Stata
 Title remainder
 from research design to final report
 Statement of responsibility
 Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC
 Title variation
 Introduction to statistics and data analysis using Stata®
 Subject

 Data Interpretation, Statistical
 Datenanalyse
 Datenanalyse
 Electronic Data Processing
 Electronic Data Processing
 Kanton Freiburg, Amt für Statistik
 Kanton Freiburg, Amt für Statistik
 Models, Statistical
 Models, Statistical
 Quantitative research  Computer programs
 Research Design
 Research Design
 Social sciences  Statistical methods  Computer programs
 Data Analysis
 Social sciences  Statistical methods  Computer programs
 Software
 Software
 Stata
 Stata
 Stata
 Statistics as Topic  methods
 Statistics as Topic  methods
 Statistik
 Statistik
 Writing
 Writing
 Social sciences  Statistical methods  Computer programs
 Data Analysis
 Data Interpretation, Statistical
 Language
 eng
 Summary
 "An Introduction to Statistics and Data Analysis Using Stata® : From Research Design to Final Report provides a stepbystep 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 realworld 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 easytouse format. News articles illustrate the application of the statistical technique to realworld 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 weekbyweek 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
 Cataloging source
 DLC
 http://library.link/vocab/creatorName
 Daniels, Lisa
 Dewey number
 005.5/5
 Illustrations
 illustrations
 Index
 index present
 LC call number
 HA32
 LC item number
 .D37 2020
 Literary form
 non fiction
 Nature of contents
 bibliography
 NLM call number
 WA 950
 http://library.link/vocab/relatedWorkOrContributorName
 Minot, Nicholas
 http://library.link/vocab/subjectName

 Social sciences
 Quantitative research
 Statistics as Topic
 Data Analysis
 Electronic Data Processing
 Software
 Research Design
 Models, Statistical
 Data Interpretation, Statistical
 Writing
 Kanton Freiburg
 Social sciences
 Statistik
 Datenanalyse
 Label
 An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC
 Bibliography note
 Includes bibliographical references and indexes
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 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. Oneway analysis of variance  Chapter 11. Cross tabulation and the chisquared 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
 Control code
 1055566700
 Dimensions
 24 cm
 Edition
 First edition.
 Extent
 xx, 370 pages
 Isbn
 9781506371832
 Lccn
 2018035896
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)1055566700
 Label
 An introduction to statistics and data analysis using Stata : from research design to final report, Lisa Daniels, Washington College ; Nicholas Minot, International Food Policy Research Institute, Washington, DC
 Bibliography note
 Includes bibliographical references and indexes
 Carrier category
 volume
 Carrier category code

 nc
 Carrier MARC source
 rdacarrier
 Content category
 text
 Content type code

 txt
 Content type MARC source
 rdacontent
 Contents
 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. Oneway analysis of variance  Chapter 11. Cross tabulation and the chisquared 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
 Control code
 1055566700
 Dimensions
 24 cm
 Edition
 First edition.
 Extent
 xx, 370 pages
 Isbn
 9781506371832
 Lccn
 2018035896
 Media category
 unmediated
 Media MARC source
 rdamedia
 Media type code

 n
 Other physical details
 illustrations
 System control number
 (OCoLC)1055566700
Subject
 Data Interpretation, Statistical
 Datenanalyse
 Datenanalyse
 Electronic Data Processing
 Electronic Data Processing
 Kanton Freiburg, Amt für Statistik
 Kanton Freiburg, Amt für Statistik
 Models, Statistical
 Models, Statistical
 Quantitative research  Computer programs
 Research Design
 Research Design
 Social sciences  Statistical methods  Computer programs
 Data Analysis
 Social sciences  Statistical methods  Computer programs
 Software
 Software
 Stata
 Stata
 Stata
 Statistics as Topic  methods
 Statistics as Topic  methods
 Statistik
 Statistik
 Writing
 Writing
 Social sciences  Statistical methods  Computer programs
 Data Analysis
 Data Interpretation, Statistical
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