Q-Step Glasgow - ViDoe

Resources for learning and applying Quantitative Methods in Social Sciences.

Multiple Linear Regression - Assumptions - Functional Form & Heteroscedasticity

10:43

Multiple Linear Regression - Assumptions - Functional Form & Heteroscedasticity

Multiple Linear Regression - Assumptions - Normality & Multicollinearity in R

9:10

Multiple Linear Regression - Assumptions - Normality & Multicollinearity in R

Tidying Data in R

15:00

Tidying Data in R

Multiple Linear Regression - part 2 - Model Interpretation

9:11

Multiple Linear Regression - part 2 - Model Interpretation

Multiple Linear Regression Part 1 - Code

8:39

Multiple Linear Regression Part 1 - Code

T Test and ANOVA in R

13:24

T Test and ANOVA in R

Bivariate Linear Regression in R

11:09

Bivariate Linear Regression in R

Correlations in R

9:56

Correlations in R

Subset Data in R

8:44

Subset Data in R

Exploring Data

9:39

Exploring Data

Getting Started with R Markdown

9:27

Getting Started with R Markdown

Importing Data into R

10:45

Importing Data into R

Boxplots in R

10:18

Boxplots in R

Accessible R

6:56

Accessible R

How To Set the Working Directory In R

6:07

How To Set the Working Directory In R

Interpreting Scatterplots

7:33

Interpreting Scatterplots

Interpreting Histograms

11:16

Interpreting Histograms

Working with data: Part 1 Saving your data files

13:47

Working with data: Part 1 Saving your data files

Managing osf.io using R - An introduction to the osfr-package (Wolen et al.)

13:38

Managing osf.io using R - An introduction to the osfr-package (Wolen et al.)

An introduction to OSF.io - A place to store and share you quantitative analyses and data.

9:43

An introduction to OSF.io - A place to store and share you quantitative analyses and data.

Categorical Data

6:41

Categorical Data

Why Quantitative Methods?

3:22

Why Quantitative Methods?