Assumptions

Assumptions of Multiple Regression

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

The assumptions associated with multiple regression

Categories: Analysis Assumptions Multiple Regression

Assumptions in MANOVA

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

Covering the unique assumptions in MANOVA

Categories: Assumptions MANOVA

One-Way ANOVA: Assumptions and Steps

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

Practical review of one way ANOVA, the assumptions and steps to conduct an ANOVA.

Categories: Analysis ANOVA Assumptions

Multicollinearity

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

The assumption of multicollinearity in statistics

Categories: Assumptions Multicollinearity

Homogeneity of Variance-Covariance Matrices

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

The assumption of homogeneity of variance-covariance matrices

Categories: Assumptions Homogeneity of Variance-Covariance Matrices

Homoscedasticity and Homogeneity of Variance Assumptions

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

Short lecture on the assumption of homogeneity of statistics, especially focused on homogeneity of variance for ANOVA family of statistics...

Categories: Assumptions Homogeneity of Variance Homoscedasticity

Normality and Linearity

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

A mini-lecture on normality and linearity

Categories: Assumptions Distributions Linearity Normal Curve Normality

Outliers Mini-Lecture

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

Short video on outliers in statistics.

Categories: Assumptions Outliers Univariate Outliers

Finding Missing Data in SPSS

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

How to locate and understand missing data in SPSS

Categories: Assumptions Missing Data SPSS

Detecting and Handling Missing Data

Dr. Jennifer Ripley by Dr. Jennifer Ripley on October 4, 2024

A mini-lecture on missing data management for research

Categories: Assumptions Missing Data

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