The PSPP Guide: An Introduction to Statistical Analysis

CONTENTS
Chapter 1 An Introduction to the Guide Second Edition
Notes about the statistics guide
Notes about the data
The Philosophy Behind This Book and the Open Source Community
Chapter 2 Overview of Statistical Analysis in Social Science
Why use statistics in Social Science research?
What is Continuous and Categorical Data?
Parametric versus Non-Parametric Data
Confidence Intervals (CI)
P-Value
Effect Size
Effect Size Calculations
Chapter 3 The PSPP Statistical Analysis Environment
What is PSPP?
Data Visualization
Chapter 4 Getting Started with PSPP
Preparing the Data and Making Decisions
Creating Your Variable Codebook
Creating Variable/Data Names in PSPP
Entering Data Directly into PSPP
Opening Data Files with PSPP (.sav files)
Importing Data Files into PSPP from a Spreadsheet (.ods files)
Chapter 5 Descriptive Statistics
What are descriptive statistics?
Creating Descriptive Statistics in PSPP for Categorical Data
Creating Visual Representations for Categorical Data
Creating Descriptive Statistics in PSPP for Continuous Data
Creating Visual Representations for Continuous Data
Exploring the Data
Chapter 6 Graphs: Scatterplot, Histogram, Barchart
Scatterplots
Histograms
Barcharts
Chapter 7 Relationship Analysis with Chi-Square
Chi-Square Analysis (Categorical Differences)
Using the Chi-Square Function in PSPP
Interpreting Output Tables: Chi Square
Chi-Square Crosstabs Table Analysis
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Chapter 8 Relationship Analysis with t-Test
t-Test Analysis (Continuous Differences, two groups)
One Sample t-Test using PSPP
Independent Samples t-Test using PSPP
Paired Samples t-Test using PSPP
Chapter 9 Relationship Analysis with ANOVA
Analysis of Variance (ANOVA)
One-Way ANOVA
Interpreting Output Tables: One-Way ANOVA
Introduction to Planned Contrasts
Conducting One-Way ANOVA with Planned Contrasts
ANOVA with Planned Contrasts for Orthogonal Polynomial Trends
Analyzing the ANOVA Output Tables for Orthogonal Polynomial Trends
Chapter 10 Univariate Analysis: General Linear Model (GLM)
Using Univariate Analysis for the General Linear Model (GLM)
Using Univariate Analysis for Two-Way (Factorial) ANOVA
Chapter 11 Associations with Correlation
Correlation Analysis with PSPP
Chapter 12 Associations with Regression (Linear)
Regression Analysis with PSPP
Interpreting Output Tables: Regression
Chapter 13 Associations with Regression (Binomial Logistic)
A Simple Binomial Logistic Regression Example with Categorical Data
A Simple Binomial Logistic Regression Example with Continuous Data
Chapter 14 Reliability
Reliability Using PSPP for Agreement
Reliability Using PSPP for Accuracy
Chapter 15 Factor Analysis
What is Factor Analysis?
Determining the Number of Factors to Extract
Conducting Factor Analysis with PSPP
Chapter 16 Why is Statistics So Confusing?
The Research Process
Exploring the data
The General Linear Model (GLM)
One-Way ANOVA with Confidence Intervals
One-Way ANOVA with Contrasts for Trends
Our Findings from the Data
Chapter 17 Concluding Thoughts
Resources
Analysis Memos