The PSPP Guide (Extended Edition):

An Introduction to Statistical Analysis

The PSPP Guide (Expanded Edition) is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the examples and guidance you will be able to select, apply, and use a statistical test's output table. The guide includes information on Chi Square, t-Test (Independent Samples), t-Test (Paired Samples), ANOVA using Confidence Intervals, ANOVA using Contrasts, Correlation, and Regression analysis. This guide also explains Factor Analysis as a data reduction technique. P-value and the techniques to calculate Effect Size are discussed. There are simple, guided steps to interpreting the output tables, along with explanations concerning the statistical values.The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

Available at Amazon in Paperback and Kindle

An Introduction to Statistical Analysis

The PSPP Guide (Expanded Edition) is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the examples and guidance you will be able to select, apply, and use a statistical test's output table. The guide includes information on Chi Square, t-Test (Independent Samples), t-Test (Paired Samples), ANOVA using Confidence Intervals, ANOVA using Contrasts, Correlation, and Regression analysis. This guide also explains Factor Analysis as a data reduction technique. P-value and the techniques to calculate Effect Size are discussed. There are simple, guided steps to interpreting the output tables, along with explanations concerning the statistical values.The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

Available at Amazon in Paperback and Kindle

The PSPP Guide (Basic Edition):

An Introduction to Statistical Analysis

The PSPP Guide (Basic Edition) is an update to the original PSPP Guide.The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the examples and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test (Independent Samples), ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

Available at Amazon in Paperback and Kindle

An Introduction to Statistical Analysis

The PSPP Guide (Basic Edition) is an update to the original PSPP Guide.The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the examples and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test (Independent Samples), ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

Available at Amazon in Paperback and Kindle

## The PSPP Guide: An Introduction to Statistical Analysis

(Out of Print)

The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the exercises, examples, and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test, ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables and practical exercises, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. This guide is not intended to be a course on statistics or the mathematics behind statistical analysis. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

The PSPP Guide is a step-by-step introduction to using the PSPP Statistical Analysis application. The purpose of this guide is to assist the novice social science and educational researcher in interpreting statistical output data using PSPP. Through the exercises, examples, and guidance you will be able to select, apply, and use a statistical test’s output table. The guide includes information on Chi Square, t-Test, ANOVA, Correlation, and Regression analysis. There are simple, guided steps to interpreting the output tables and practical exercises, along with explanations concerning the statistical values. The use of descriptive statistics is discussed, as well as various data types and appropriate techniques to use with the data. This guide is not intended to be a course on statistics or the mathematics behind statistical analysis. With the advent of statistical analysis applications anyone with a computer can run statistical analysis on any dataset. The intention of this guide is to provide the novice researcher with a step-by-step guide to using these powerful analysis tools and to gain the confidence to read and interpret output tables in order to guide their own research.

The resources on this page are intended to be used with the book

"The PSPP Guide: An Introduction to Statistical Analysis" by Christopher P. Halter

Downloadable files (sample data set to be used with PSPP):

"The PSPP Guide: An Introduction to Statistical Analysis" by Christopher P. Halter

Downloadable files (sample data set to be used with PSPP):