SPSS
SPSS stands for Statistical Package for the Social Sciences and was first introduced in 1968. After its acquisition by IBM in 2009, the software became officially known as IBM SPSS Statistics, though it is still commonly referred to simply as “SPSS.”
SPSS is used to analyze, manage, and visualize data, especially in research and social science settings. It’s popular because it allows users to perform complex analyses with a relatively user-friendly interface.
SPSS Begineer Introduction
Introduction to SPSS: A Step-by-Step Tutorial for Beginners
SPSS Basics
- SPSS Measure: Nominal, Ordinal, and Scale
- Are Likert Scales Ordinal or Interval Data
- Difference between Interval and Ratio Data
- How to Create Scatter Plots in SPSS
- Plot Interaction Effects of Categorical Variables in SPSS
- Select Variables and Save as a New File in SPSS
- How to Read SPSS Files in R
SPSS Data Analytics for Beginners
Section 1: Mean Comparisons:
- Lecture 1: Independent t-test in SPSS
- Lecture 2: Paired t-test in SPSS
- Lecture 3: One Sample t-test in SPSS
- Lecture 4: One-Way ANOVA in SPSS
- Lecture 5: Two-Way ANOVA in SPSS (with example)
Section 2: Correlation and Regression
- Lecture 6: How to Do Correlation Analysis in SPSS (4 Steps)
- Lecture 7: Simple Linear Regression in SPSS
- Lecture 8: Multiple Linear Regression in SPSS
Section 3: Count Data
- Lecture 9: Logistic Regression in SPSS
- Lecture 10: One Variable Chi-Square in SPSS
- Lecture 11: Chi square Analysis in SPSS
- Lecture 12: McNemar’s Test in SPSS
SPSS: Advanced Tutorials
- Interaction between Categorical and Continuous Variables in SPSS
- Johnson Neyman in SPSS (4 steps)
- How Dummy and Contrast Codings Impact P-values in SPSS
- Linear Mixed Models in SPSS
- Levene’s Test in SPSS