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An Introduction to Statistics and Data Analysis Using Stata®
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An Introduction to Statistics and Data Analysis Using Stata®
From Research Design to Final Report

First Edition
January 2019 | 392 pages | SAGE Publications, Inc
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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, or 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 statistical analysis, research design, and report writing for social science students.

 
Part 1: The research process and data collection
 
Chapter 1: The research process and data collection
Read the literature and identify gaps or ways to extend the literature

 
Examine the theory

 
Develop your research questions and hypotheses

 
Develop your research method

 
Analyze the data

 
Write the research paper

 
 
Chapter 2: Sampling techniques
Sample design

 
Selecting a sample

 
Sampling weights

 
 
Chapter 3: Questionnaire design
Structured and semi-structure questionnaires

 
Open- and closed-ended questions

 
General guidelines for questionnaire design

 
Designing the questions

 
Collecting the response data

 
Skip patterns

 
Ethical issues

 
 
Part 2: Describing Data
 
Chapter 4: An Introduction to Stata
Opening Stata and Stata Windows

 
Working with existing data

 
Entering your own data into Stata

 
Using log files and saving your work

 
Getting help

 
Summary of commands used in chapter

 
 
Chapter 5: Preparing and transforming your data
Checking for outliers

 
Creating new variables

 
Missing values in Stata

 
Summary of commands used in chapter

 
 
Chapter 6: Descriptive statistics
Types of variable and measurement

 
Descriptive statistics for all types of variables -- frequency tables and modes

 
Descriptive statistics for variables measured as ordinal, interval, and ratio scales -- median and percentiles

 
Descriptive statistics for continuous variables -- mean, variance, standard deviation, and coefficient of variation

 
Descriptive statistics for categorical variables measured on a nominal or ordinal scale -- cross tabulation

 
Applying sampling weights

 
Formatting output for use in a document (Word, Google Docs, etc.)

 
Graphs to describe data

 
Summary of code used in chapter

 
 
Part 3: Testing Hypotheses
 
Chapter 7: The Normal distribution
The normal distribution and standard scores

 
Sampling distributions and standard errors

 
Examining the theory and identifying the research question and hypothesis

 
Testing for statistical significance

 
Rejecting or not rejecting the null hypothesis

 
Interpreting the results

 
Central limit theorem

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 8: Testing a hypothesis about a single mean
When to use the one-sample t test

 
Calculating the one-sample t test

 
Conducting a one-sample t test

 
Interpreting the output

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 9: Testing a hypothesis about two means
When to use a two independent-samples t test

 
Calculating the t statistic

 
Conducting a t test

 
Interpreting the output

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 10: Analysis of variance
When to use one-way analysis of variance

 
Calculating the F ratio

 
Conducting a one-way analysis of variance test

 
Interpreting the output

 
Is one mean different or are all of them different?

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 11: Cross-tabulation and the chi-squared test
When to use the chi-squared test

 
Calculating the chi-squared test

 
Conducting a chi-squared test

 
Interpreting the output

 
Presenting the results

 
Summary of commands used in chapter

 
 
Part 4: Exploring relationships
 
Chapter 12: Linear regression analysis
When to use a regression analysis

 
Correlation

 
Simple regression analysis

 
Multiple regression analysis

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 13: Regression Diagnostics
Measurement error

 
Specification error

 
Multicollinearity

 
Heteroskedasticity

 
Endogeneity

 
Non-normality

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 14: Regression analysis with categorical dependent variables
When to use logit or probit analysis

 
Understanding the logit model

 
Running logit and interpreting the results

 
Logit vs probit regression models

 
Regression analysis with other types of categorical dependent variables

 
Presenting the results

 
Summary of commands used in chapter

 
 
Chapter 15: Writing a research paper
Introduction section of a research paper

 
Literature review

 
Data and methods

 
Results

 
Discussion

 
Conclusions

 

Supplements

Student Study Site

The open-access Student Study Site includes the following:

  •  Mobile-friendly eFlashcards to strengthen your understanding of key terms and concepts.
  • Datasets from a variety of disciplines with descriptions of each available for download.
  • Answers to selected homework problems to help with studying.  
Instructor Teaching Site

study.sagepub.com/daniels1e

 

Password-protected Instructor Resources include the following:

 

  • Editable, chapter-specific Microsoft® PowerPoint® slides offer you complete flexibility in easily creating a multimedia presentation for your course.
  • A sample syllabus provides a suggested course model
  • Homework and solutions provided by the authors allow instructors to assign these for grades
  • Course Projects provided by the author promote student engagement with course material
  • Sample Tests and Study Guides provided by the authors offer instructors additional resources for exam prep.
  • Datasets from a variety of disciplines with descriptions of each available for download. 
  • Stata Screenshots plus tables and figures from the printed book are available in an easily-downloadable format for use in papers, hand-outs, and presentations.

“This book introduces statistical methods to students while, at the same time, walking them through the process by which to apply those methods to real-world problems using Stata. This is something that is severely lacking in methods texts at this time.”

Steven P. Nawara
Lewis University

“This is so far one of the best introductions to statistics and Stata that I have seen, particularly for my students who really need a bit of hand holding. This will likely make it less intimidating for students with no exposure to statistics.”

Holona LeAnne Ochs
Lehigh University

“I found the style of the book very sound for today’s student. The style wasn’t overly formal nor was the material presented in an overly complicated fashion. The author kept to a somewhat casual, approachable writing style that should be perfect for the modern college student.”

Wendy L. Hicks
Ashford University

“This is a much needed book that encompasses research methods through to the analysis stage and reporting writing.”

Eileen M. Ahlin
Penn State Harrisburg
Key features

KEY FEATURES:

  • 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 use 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 shown 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.