Differentiating the terms "Moderation" and "Mediation" is the bane of many students' lives in learning statistics. Because the two analyses deal with extraneous variables, and they both sound very similar, people often confuse them together. But if we uncover the essence of what each analysis does, their differences become so distinct to the point you … Continue reading Demystifying Statistical Analysis 6: Moderation & Mediation (Why Are They Even Paired Together?!)

# Month: September 2018

# Demystifying Statistical Analysis 5: The ANCOVA Expressed in Linear Regression

The previous part of this series showed how the factorial ANOVA can be expressed in a linear regression when more than one categorical predictors are required in an analysis. The factorial ANOVA introduced the concept of interaction effects, and explained why contrast coding is better than dummy coding when the analysis is conducted as a … Continue reading Demystifying Statistical Analysis 5: The ANCOVA Expressed in Linear Regression

# Demystifying Statistical Analysis 4: The Factorial ANOVA Expressed in Linear Regression

The one-way ANOVA was introduced in the previous part of this series, and I explained how the analysis can be done using linear regression, as well as illustrated how polynomial relationships can be tested with the help of contrast codes. But datasets often contain more than one categorical predictors, and a factorial ANOVA is required … Continue reading Demystifying Statistical Analysis 4: The Factorial ANOVA Expressed in Linear Regression

# Demystifying Statistical Analysis 3: The One-Way ANOVA Expressed in Linear Regression

In the previous part of this series, we looked at how the independent t-test can be expressed in a linear regression. The independent t-test is used when comparison is made between 2 unrelated groups, but what happens when we want to compare across more than 2 groups? In such a situation, the one-way ANOVA is … Continue reading Demystifying Statistical Analysis 3: The One-Way ANOVA Expressed in Linear Regression

# Demystifying Statistical Analysis 2: The Independent t-Test Expressed in Linear Regression

Group comparison analyses such as the independent t-test and ANOVA may seem quite different from linear regression, but if we take a look at the cheat sheet in the first part of this series, we will notice that they actually fall under the same column of predicting a continuous dependent variable. The main difference is … Continue reading Demystifying Statistical Analysis 2: The Independent t-Test Expressed in Linear Regression