# Using IBM® SPSS® Statistics

## An Interactive Hands-On Approach

## Student Resources

# Step-by-Step SPSS® Tutorial Videos

**Step-by-Step SPSS® Tutorial Videos** created by the author provide interactive screencast demonstrations of SPSS for each chapter.

Tip: Click on each link to expand and view the content. Click again to collapse.

## Chapter 1: First Encounters

Video will open in a separate window. For closed captioning, click “CC” on the bottom right-hand corner of each video.

Chapter 1, Section 1.2: Entering, Analyzing, and Graphing Data

## Chapter 2: Navigating in SPSS

Video will open in a separate window. For closed captioning, click “CC” on the bottom right-hand corner of each video.

Chapter 2, Section 2.6: Navigating the Variable View Tab in SPSS

## Chapter 3: Getting Data in and Out of SPSS

Video will open in a separate window. For closed captioning, click “CC” on the bottom right-hand corner of each video.

## Chapter 4: Levels of Measurement

## Chapter 5: Entering Variables and Data and Validating Data

Chapter 5, Section 5.2: Entering Variables and Assigning Attributes

## Chapter 6: Working With Data and Variables

## Chapter 7: Printing Data View, Variable View, and Output Viewer Screens

Chapter 7, Section 7.3: Printing Variable Information From the Output Viewer

## Chapter 8: Using the SPSS Help Menu

Chapter 8, Section 8.5: Using the Context Sensitive Help Method

## Chapter 9: Descriptive Statistics

## Chapter 10: Creating Graphs for Nominal and/or Ordinal Data

## Chapter 11: Creating Graphs for Continuous Data

## Chapter 12: Inferential Statistics

## Chapter 13: One-Sample T Test and a Binomial Test of Equality

Chapter 13, Section 13.4: Data Input, Analysis, and Interpretation of Output for One-Sample T-Test

## Chapter 14: Independent-Samples T Test and the Mann–Whitney U Test

## Chapter 15: Paired-Samples T Test and the Wilcoxon Test

## Chapter 16: One-Way ANOVA and Kruskal–Wallis Test

Chapter 16, Section 16.4: Data Input, Analysis, and Interpretation of Output for One-Way ANOVA

## Chapter 17: One-Way ANOVA Repeated Measures Test and Friedman Test

## Chapter 18: Two-Way ANOVA (Factorial)

Chapter 18, Section 18.4: Data Input, Analysis, and Interpretation of Output for Two-way ANOVA

## Chapter 19: Analysis of Covariance (ANCOVA)

## Chapter 20: Chi-Square Goodness of Fit

## Chapter 21: Chi-Square Test of Independence

Chapter 21, Section 21.7: Data Input, Analysis, and Interpretation of Output: Raw Data

## Chapter 22: Pearson’s and Spearman’s Correlation Coefficients

Chapter 22, Section 22.4: Check for a Linear Relationship Between the Variables

## Chapter 23: Simple Linear Regression

Chapter 23, Section 23.7: Regression and Prediction for Simple Linear Regression

## Chapter 24: Multiple Linear Regression

Chapter 24, Section 24.5: Data Assumptions (Normality) for Multiple Linear Regression

## Chapter 25: Logistic Regression

Chapter 25, Section 25.4: Data Input, Analysis, and Interpretation of Output for Logistic Regression

## Chapter 26: Factor Analysis

Chapter 26, Section 26.4: Data Input, Analysis, and Interpretation of Output for Factor Analysis