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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



January 2019 | 400 pages | SAGE Publications, Inc

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 and quizzes to strengthen your understanding of key terms and concepts.
  • Datasets from a variety of disciplines with descriptions of each available. 
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.
  • Solutions to in-text exercises allow instructors to assign these for homework or exams.
  • Datasets from a variety of disciplines with descriptions of each available. 
  • 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.

 

 


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