SPSS Masterclass

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About the Course and How To Succeed Preview

Lecture 1: Learning Goals, SPSS Overview, Getting Access to SPSS
Lecture 2: Navigating and Understanding Data View and Variable View
Lecture 3: Importing Your Data from Excel
Module 1 Quiz (4 Questions)
Lecture 2: Go to Case/Variable, Run Descriptives, Find and Replace

Lecture 1: Open, save, Print to PDF, Recall, Undo/Redo
Lecture 2: Go To Case/Variable, Run Descriptives, Find and Replace
Module 2 Quiz

Lecture 1: Learning Goals and Variable Names
Lecture 2: Variable Type
Lecture 3: Variable Width and Decimals
Lecture 4: Variable Labels
Lecture 5: Variable Values
Lecture 6: Variable Measure Type
Module 3 Quiz (14 Questions)
Homework Assignment

Lecture 1: Exporting Data
Lecture 2: Learning Goals, Save/Save As, Version Control
Lecture 3: Print and Print Preview
Lecture 4: Recently Used Data
Lecture 5: Recently Used File
Module 4 Quiz (7 Questions)

Lecture 1: Learning Goals, Cut, Copy, Paste
Lecture 2: Insert Variables and Cases
Lecture 3: Find and Replace
Lecture 4: Go to Variables and Cases
Lecture 5: Additional Helpful Options
Module 5 Quiz (6 Questions)

Lecture 1: Learning Goals and Status Bar
Lecture 2: Fonts and Grid Lines
Lecture 3: Value Labels and Customize Variable View
Lecture 4: Data or Variables
Module 6 Quiz (5 Questions)

Lecture 1: Learning Goals, Identify Duplicate Cases
Lecture 2: Identify Unusual Cases
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
Lecture 6: Replacing Missing Values
Module 8 Quiz (15 Questions)

Lecture 1: Reports
Lecture 2A: Descriptive Statistics - Frequency Counts and Tables
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