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A Python Companion to Extension Program Evaluation

Salvatore S. Mangiafico

Purpose of this Book

Goals of this book

 

The goal of this book is to serve as companion piece to Summary and Analysis of Program Evaluation in R (SAEPER) (rcompanion.org/handbook/), replicating the examples in Python.

 

For discussion, assumptions, and alternative options for analyses, visit the SAEPER book.

 

 This book will use base Python and several common libraries for data wrangling and statistical analysis like pandas and SciPy, common libraries for data operations like io, and common libraries for producing plots like seaborn and Matplotlib.

 

References

 

Mangiafico, S.S. 2016.  Summary and Analysis of Extension Program Evaluation in R, revised 2024. rcompanion.org/documents/RHandbookProgramEvaluation.pdf. Web version: rcompanion.org/handbook/.

 

Other material in SAEPER

 

Some other topics not included in this book can be found in SAEPER:

 

Introduction

 

•  Statistics textbooks and other resources, rcompanion.org/handbook/A_04.html

 

Statistics for Educational Program Evaluation

 

•  Why Statistics?, rcompanion.org/handbook/B_01.html

 

•  Evaluation Tools and Surveys, rcompanion.org/handbook/B_02.html

 

Understanding Statistics and Hypothesis Testing

 

•  Hypothesis Testing and p-values, rcompanion.org/handbook/D_01.html

 

•  Reporting Results of Data and Analyses, rcompanion.org/handbook/D_02.html

 

•  Choosing a Statistical Test, rcompanion.org/handbook/D_03.html

 

•  Independent and Paired Values, rcompanion.org/handbook/D_04.html

 

Likert Item Data

 

•  Introduction to Likert Item Data, rcompanion.org/handbook/E_01.html

 

Traditional Nonparametric Tests

 

•  Introduction to Traditional Nonparametric Tests, rcompanion.org/handbook/F_01.html