#
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

**Other Titles in:**

Econometrics | Political Science Statistics | Quantitative/Statistical Research (General)

**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.

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 |

Sample design |

Selecting a sample |

Sampling weights |

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 |

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 |

Checking for outliers |

Creating new variables |

Missing values in Stata |

Summary of commands used in chapter |

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 |

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 |

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 |

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 |

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 |

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 |

When to use a regression analysis |

Correlation |

Simple regression analysis |

Multiple regression analysis |

Presenting the results |

Summary of commands used in chapter |

Measurement error |

Specification error |

Multicollinearity |

Heteroskedasticity |

Endogeneity |

Non-normality |

Presenting the results |

Summary of commands used in chapter |

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 |

Introduction section of a research paper |

Literature review |

Data and methods |

Results |

Discussion |

Conclusions |

### Supplements

The open-access** Student Study Site** includes the following:

- Mobile-friendly
**eFlashcards**

**Datasets from a variety of disciplines**with descriptions of each available for download.

**Answers to selected homework problems**to help with studying.

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.”

**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.”

**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.”

**Ashford University**

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

**Penn State Harrisburg**