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 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
- 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. 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
- 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 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
- 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. 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
- 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. 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
- 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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