SPSS Linear Regression Complete Tutorial with PhD Professor
Includes visusalizations, interactions, assumptions, data issues, power analysis, outliers, and detailed interpretations
Ratings 4.17 / 5.00
What You Will Learn!
- SPSS Linear Regression for Business or Dissertation
- Visualizing Linear Regression Results
- Advanced topics like interactions and categorical predictors
- Dealing with data, distribution, and missing data problems
- Deep understanding of the process and meaning of the results
Description
In-depth modular class - learn only what you need! Includes optional modules for basics, advanced, & emergent problems.
Anyone can follow this step-by-step, end-to-end, in-depth tutorial for linear regression. The modular course covers all the possible pitfalls (well, pretty close), but in optional modules so you don't get bogged down with stuff you don't need.
I've poured all my consulting knowledge into this, even complex problems are covered in tremendous detail. However, you can skip the advanced information you don't need or want.
Topics Covered:
Data Prep
Missing Data
Descriptive Statistics
Checking Normality / Assumptions
Variable Transformation
Simple Linear Regression
Multiple Linear Regression
Univariate and Multivariate Outliers
Interactions / Moderation
Interpretation of Results
Scatter Plots
Line Graphs
Graphing Interactions
Multicollinearity
Variable Centering
Non-Linear Relationships
Pre- & Post-Hoc Power Analysis
Other Emergent Issues
Who Should Attend!
- Graduate students completing thesis or dissertation
- Job-seekers interested in adding Linear Regression as a data analysis skill
- Academic researchers
- Psychology students interested in data analysis
- Data Analysts looking to understand linear regression more completely
Tags
- Regression Analysis
- SPSS
- Linear Modeling
Subscribers
1333
Lectures
47
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