Lisa Daniels, Nicholas W. Minot

An Introduction to Statistics and Data Analysis Using Stata®

From Research Design to Final Report

• Broschiertes Buch

Produktbeschreibung

The second edition of An Introduction to Statistics and Data Analysis Using Stata®: From Research Design to Final Report provides an integrated approach to methods, statistics, data analysis, and interpretation of results. The book features examples from social science research and news articles along with concise descriptions of statistics.

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Produktdetails

• Verlag: SAGE Publications Inc
• Seitenzahl: 352
• Erscheinungstermin: 14. April 2025
• Englisch
• Abmessung: 231mm x 187mm
• ISBN-13: 9781071883709
• ISBN-10: 1071883704
• Artikelnr.: 71807625

Autorenporträt

Lisa Daniels is the Hodson Trust Professor Emeritus of Economics at Washington College in Chestertown, Maryland. She specializes in development in Africa, where she worked for 10 years, beginning as a Peace Corps volunteer. During her time in Africa, she studied agricultural markets, market information systems, poverty trends, and micro- and small-scale enterprises. As part of her research on micro- and small-scale enterprises, she directed national surveys of 7,000 to 56,000 households and businesses in Bangladesh, Botswana, Kenya, Malawi, and Zimbabwe funded by the U.S. Agency for International Development. In each survey, she was responsible for the questionnaire design, sample selection, data collection and analysis, and report preparation. Her work from these surveys and other research in Africa and Asia appears in consulting reports and in peer-reviewed journals. In addition to research and fieldwork, she has taught a range of courses over the past 28 years, including a research methods course and a data analysis course that she has taught over 20  times. She has also presented her work related to teaching at more than a dozen workshops.

Inhaltsangabe

Preface Acknowledgments Part I
The Research Process And Data Collection Chapter 1
A Brief Overview of the Research Process 1.1 Introduction 1.2 What Is Research 1.3 Steps In The Research Process 1.4 Conclusion Exercises Chapter 2
Sampling Techniques 2.1 Introduction 2.2 Sample Design 2.3 Selecting A Sample 2.4 Sampling Weights Exercises Chapter 3
Questionnaire Design 3.1 Introduction 3.2 Types Of Questionnaires 3.3 Guidelines For Questionnaire Design 3.4 Recording Responses 3.5 Skip Patterns 3.6 Ethical Issues Exercises Part II
Describing Data Chapter 4
An Introduction to Stata 4.1 Introduction 4.2 Opening Stata And Stata Windows 4.3 Working With Existing Data 4.4 Setting Preferences In Stata 4.5 Entering Your Own Data Into Stata 4.6 Using Log Files And Saving Your Work 4.7 Getting Help 4.8 Summary Of Commands Used In This Chapter Exercises Chapter 5
Preparing and Transforming Your Data 5.1 Introduction 5.2 Checking For Outliers 5.3 Creating New Variables 5.4 Missing Values In Stata 5.5 Summary Of Commands Used In This Chapter Exercises Chapter 6
Descriptive Statistics 6.1 Introduction 6.2 Types Of Variables And Measurement 6.3 Descriptive Statistics For All Types Of Variables: Frequency Tables And Modes 6.4 Descriptive Statistics For Variables Measured As Ordinal, Interval, And Ratio Scales: Median And Percentiles 6.5 Descriptive Statistics For Continuous Variables: Mean, Variance, Standard Deviation, And Coefficient Of Variation 6.6 Descriptive Statistics For Categorical Variables Measured On A Nominal Or Ordinal Scale: Cross Tabulation 6.7 Applying Sampling Weights 6.8 Formatting Output For Use In A Document (Word, Google Docs, Etc.) 6.9 Graphs To Describe Data 6.10 Summary Of Commands Used In This Chapter Exercises Part III
Testing Hypotheses Chapter 7
The Normal Distribution, Hypothesis Testing, and Statistical Significance 7.1 Introduction 7.2 The Normal Distribution And Standard Scores 7.3 Sampling Distributions And Standard Errors 7.4 Examining The Theory And Identifying The Research Question And Hypothesis 7.5 Testing For Statistical Significance Between A Sample Mean And A Population Mean 7.6 Rejecting Or Not Rejecting The Null Hypothesis 7.7 Interpreting The Results 7.8 Central Limit Theorem 7.9 Presenting The Results 7.10 Comparing A Sample Proportion To A Population Proportion 7.11 Summary Of Commands Used In This Chapter Exercises Chapter 8
Testing a Hypothesis About a Single Mean and a Single Proportion 8.1 Introduction 8.2 When To Use The One-Sample t Test 8.3 Calculating The One-Sample t Test 8.4 Conducting A One-Sample t Test 8.5 Interpreting The Output 8.6 Presenting The Results 8.7 Estimating A Population Proportion From A Sample Proportion 8.8 Summary Of Commands Used In This Chapter Exercises Chapter 9
Testing a Hypothesis About Two Independent Means 9.1 Introduction 9.2 When To Use A Two Independentsamples t Test 9.3 Calculating The t Statistic 9.4 Conducting A t Test 9.5 Interpreting The Output 9.6 Presenting The Results 9.7 Summary Of Commands Used In This Chapter Exercises Chapter 10
One-Way Analysis of Variance 10.1 Introduction 10.2 When To Use One-Way ANOVA 10.3 Calculating The F Ratio 10.4 Conducting A One-Way ANOVA Test 10.5 Interpreting The Output 10.6 Is One Mean Different or are all of Them Different? 10.7 Presenting The Results 10.8 Summary Of Commands Used In This Chapter Exercises Chapter 11
Comparing Categorical Variables - The Chi-Squared Test and Proportions 11.1 Introduction 11.2 When To Use The Chi-Squared Test 11.3 Calculating The Chi-Square Statistic 11.4 Conducting A Chi-Squared Test 11.5 Interpreting The Output 11.6 Presenting The Results 11.7 Comparing Proportions Or Binary Categorical Variables 11.8 Summary Of Commands Used In This Chapter Exercises Part IV
Exploring Relationships Chapter 12
Linear Regression Analysis 12.1 Introduction 12.2 When To Use Regression Analysis 12.3 Correlation 12.4 Simple Regression Analysis 12.5 Multiple Regression Analysis 12.6 Presenting The Results 12.7 Summary Of Commands Used In This Chapter Exercises Chapter 13
Regression Diagnostics 13.1 Introduction 13.2 Measurement Error 13.3 Specification Error 13.4 Multicollinearity 13.5 Heteroscedasticity 13.6 Endogeneity 13.7 Nonnormality 13.8 Presenting The Results 13.9 Summary Of Commands Used In This Chapter Exercises Chapter 14
Regression Analysis with Binary Dependent Variables 14.1 Introduction 14.2 When To Use Logit Or Probit Analysis 14.3 Understanding The Logit Model 14.4 Running A Logit Model 14.5 Interpreting The Results Of A Logit Model 14.6 Logit Versus Probit Regression Models 14.7 Presenting The Results 14.8 Summary Of Commands Used In This Chapter Exercises Chapter 15
Introduction to Advanced Topics in Regression Analysis 15.1 Introduction 15.2 Regression With A Categorical Dependent Variable 15.3 Instrumental Variables Regression 15.4 Regression With Time-Series Data 15.5 Regression That Combines Cross-Section And Time-Series Data 15.6 Summary Of Commands Used In This Chapter Exercises Part V
Writing A Research Paper Chapter 16
Writing a Research Paper 16.1 Introduction 16.2 Introduction Section Of A Research Paper 16.3 Literature Review 16.4 Theory, Data, And Methods 16.5 Results 16.6 Discussion 16.7 Conclusions Exercises 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 Appendix 10 Description of the Data Sets Used in the Textbook Glossary About the Authors Index