SPSS Advanced Course

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About the Course and How To Succeed Preview

Lecture 1: Learning Goals, Identify Duplicate Cases
Lecture 2: Identify Unusual Cases Preview
Lecture 3: Sort Cases
Lecture 4: Sort Variables
Lecture 5: Split File
Lecture 6: Select Cases
Lecture 7: Weight Cases
Module 7 Quiz (11 Questions)

Lecture 1A: Computing a Subscale Total Score
Lecture 1B: Computing a Measure Total Score
Lecture 2: Re-coding into Same Variable
Lecture 3: Re-coding into Different Variables
Lecture 4: Automatic Re-coding (Reverse Scoring Items)
Lecture 5: Designating Missing Values Preview
Lecture 6: Replacing Missing Values
Module 8 Quiz (15 Questions)

Lecture 1: Reports
Lecture 2A: Descriptive Statistics - Frequency Counts and Tables Preview
Lecture 2B: Descriptive Statistics - Descriptives
Lecture 2C: Descriptive Statistics - Crosstabs
Lecture 2D: Descriptive Statistics - Data Normality (PP and QQ Plots)
Lecture 3A: Compare Means - Means
Lecture 3B: Compare Means - One Sample t-Test
Lecture 3C: Independent Samples t-test
Lecture 3D: Paired Samples T-test
Lecture 3E: One-Way ANOVA
Lecture 4A: Univariate ANOVA
Lecture 4B: Multivariate ANOVA
Lecture 4C: Repeated Measures ANOVA
Lecture 5A: Bivariate Correlation
Lecture 5B: Partial Correlation
Lecture 6A: Linear Regression
Lecture 6B: Binary Logistic Regression
Lecture 6C: Multiple (Stepwise) Regression [Part 1]
Lecture 6C: Multiple (Stepwise) Regression [Part 2]
Lecture 7A: K-Means Cluster Analysis
Lecture 7B: Hierarchical Cluster Analysis
Lecture 7C: ROC Curve
Lecture 8: Principal Components Analysis (Factor Analysis)
Lecture 9: Reliability - Cronbach's Alpha
Lecture 10: Missing Values Analysis
Lecture 11: Multiple Imputation for Missing Data

21 Academic Writing Errors - And How to Fix Them