An Introduction to Statistics and Data Analysis Using Stata |
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Comment from the Stata technical groupAn Introduction to Statistics and Data Analysis Using Stata, by Lisa Daniels and Nicholas Minot, is an excellent textbook for introducing statistics, research methods, and Stata to undergraduate students in social sciences, behavioral sciences, business, and similar disciplines. This book walks students through the entire research process from designing a study and collecting data to performing statistical analyses to reporting the results. The authors discuss descriptive statistics and graphics for describing data; hypothesis testing for one and two means; cross tabulations and tests for association; and linear, logistic, and probit regression. The authors devote one of the early chapters to introducing Stata. Then, throughout the book, they demonstrate how to use Stata commands and Stata's point-and-click interface for each data management task, graph, and statistical analysis they discuss. Daniels and Minot provide many resources for instructors and students. Instructors have access to suggested test and homework problems along with solutions. They can also take advantage of PowerPoint slides that correspond with each chapter in the book. Students have access to all datasets so that they can work along with examples in the book. They can also use the electronic flashcards provided to review the concepts discussed in each chapter. Drawing on over 20 years of experience teaching statistics to undergraduate students, the authors are careful to include everything you need for an introductory statistics course taught using Stata. |
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Table of contentsView table of contents >> Preface
Acknowledgements
Part I - The Research Process and Data Collection
Chapter 1 - The Research Process
1.1 Introduction
1.2 Read the Literature and Identify Gaps or Ways to Extend the Literature 1.3 Examine the Theory 1.4 Develop Your Research Questions and Hypotheses 1.5 Develop Your Research Method 1.6 Analyze the Data 1.7 Write the Research Paper Exercises References Chapter 2 - Sampling Techniques
2.1 Introduction
2.2 Sample Design 2.3 Selecting a Sample
2.3.1 Probability and Nonprobability Sampling
2.4 Sampling Weights 2.3.2 Identifying a Sampling Frame 2.3.3 Determining the Sample Size 2.3.4 Sample Selection Methods
2.4.1 Calculating Sampling Weights
Exercises 2.4.2 Using Sampling Weights References Chapter 3 - Questionaire Design
3.1 Introduction
3.2 Structured and Semi-Structured Questionnaires 3.3 Open- and Closed-Ended Questions 3.4 General Guidelines for Questionnaire Design 3.5 Designing the Questions
3.5.1 Question Order
3.6 Recording Responses 3.5.2 Phrasing the Questions
3.6.1 Responses in the Form of Continuous Variables
3.7 Skip Patterns 3.6.2 Responses in the Form of Categorical Variables 3.8 Ethical Issues Exercises References Part II - Describing Data
Chapter 4 - An Introduction to Stata
4.1 Introduction
4.2 Opening Stata and Stata Windows
4.2.1 Results Window
4.3 Working With Existing Data 4.2.2 Review Window 4.2.3 Command Window 4.2.4 Variables Window 4.2.5 Properties Window 4.4 Entering Your Own Data Into Stata 4.5 Using Log Files and Saving Your Work 4.6 Getting Help
4.6.1 Help Command
4.7 Summary of Commands Used in This Chapter 4.6.2 Search Command 4.6.3 Stata Website 4.6.4 UCLA's Institute for Digital Research and Education Website Exercises Chapter 5 - Preparing and Transforming Your Data
5.1 Introduction
5.2 Checking for Outliers 5.3 Creating New Variables
5.3.1 Generate
5.4 Missing Values in Stata 5.3.2 Using Operators 5.3.3 Recode 5.3.4 Egen 5.5 Summary of Commands Used in This Chapter Exercises References Chapter 6 - Descriptive Statistics
6.1 Introduction
6.2 Types of Variables and Measurement 6.3Descriptive Statistics for All Types of Variables: Frequency Tables and Modes
6.3.1 Frequency Tables
6.4 Descriptive Statistics for Variables Measured as Ordinal, Interval, and Ratio Scales: Median and Percentiles 6.3.2 Mode
6.4.1 Median
6.5 Descriptive Statistics for Categorical Variables: Mean, Variance, St
andard Deviation, and Coefficient of Variation 6.4.2 Percentiles
6.5.1 Mean
6.6 Descriptive Statistics for Categorical Variables Measured on a Nominal or Ordinal Scale: Cross Tabulation 6.5.2 Variance and Standard Deviation 6.5.3 Coefficient of Variation 6.7 Applying Sampling Weights 6.8 Formatting Output for Use in a Document (Word, Google Docs, etc.) 6.9 Graphs to describe data
6.9.1 Bar Graphs
6.10 Summary of Commands Used in This Chapter 6.9.2 Box Plots 6.9.3 Histograms 6.9.4 Pie Charts Exercises References Part III - Testing Hypotheses
Chapter 7 - The Normal Distributions
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 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 Summary of Commands Used in This Chapter Exercises References Chapter 8 - Testing a Hypothesis About a Single Mean
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 Summary of Commands Used in This Chapter Exercises References Chapter 9 - Testing a Hypothesis About Two Independent Means
9.1 Introduction
9.2 When to Use a Two Independent-Samples 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 References 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 he Results 10.8 Summary of Commands Used in This Chapter Exercises References Chapter 11 - Cross Tabulation and the Chi-Squared Test
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 Sumary of Commands Used in This Chapter Exercises References 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 References Chapter 13 - Regression Diagnostics
13.1 Introduction
13.2 Measurement Error 13.3 Specification Error
13.3.1 Types of Specification Errors
13.4 Multicollinearity 13.3.2 Diagnosing Specification Error 13.3.3 Correcting Specification Error 13.5 Heteroscedasticity 13.6 Endogeneity 13.7 Nonnormality 13.8 Presenting the Results 13.9 Summary of Commands Used in This Chapter References Chapter 14 - Regression Analysis With Categorical Dependent Variables
14.1 Introduction
14.2 When to Use Logit or Probit Analysis 14.3 Understanding the Logit Model 14.4 Running Logit and Interpreting the Results
14.4.1 Running Logit Regression in Stata
14.5 Logit Versus Probit Regression Models 14.4.2 Interpreting th Results of a Logit Model 14.6 Regression Analysis With Other Types of Categorical Dependent Variables 14.7 Presenting the Results 14.8 Summary of Commands Used in This Chapter Exercises References Part V - Writing A Research Paper
Chapter 15 - Writing A Research Paper
15.1 Introduction
15.2 Introduction Section of a Research Paper 15.3 Literature Review 15.4 Theory, Data, and Methods 15.5 Results
15.5.1 Logical Sequence
15.6 Discussions 15.5.2 Tables, Figures, and Numbers 15.5.3 Reporting Results From Statistical Tests 15.5.4 Active Versus Passive Voice and the Use of First-Person Pronouns 15.7 Conclusions Exercises References 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
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