Appropriate Statistics Worksheet

Correlation

ß two continuous variables – the research question is whether the two variables are related

Multilple Regression

ß three (or more) continuous variables – one of which is the ‘dependent,’ ‘criterion,’ or ‘outcome’ variable – the others are ‘predictor’ variables. The research question concerns how well the set of predictor variables predict scores on the dependent variable

Between-Groups t-test

ß One two-level (dichotomous) categorical variable (e.g., gender) and one continuous variable (e.g., self-esteem scores)

Within-Groups t-test

ß two continuous variables – (comprising one two-level within-group factor) the research question is whether the means of the two variables are significantly different

One-way ANOVA

ß one multi-level categorical variable (e.g., favorite color: red, blue, or orange) and one continuous outcome (dependent) variable (e.g., IQ scores)

Factorial Between-Group ANOVA
ß two or more multi-level categorical variables (e.g., favorite color AND gender) and one continuous dependent variable (e.g., SAT scores)

Repeated-Measures ANOVA

ß Multiple continuous variables (comprising one within-group factor) – all from same participants – research question is whether the means across those variables differ (e.g., heart rates at time 1, 2, and 3)

Mixed ANOVA

ß One multi-level categorical variable, one within-group variable, and one continuous dependent variable (e.g., favorite color (red, blue, orange) * Time (1, 2, or 3) and SAT score)

Chi Square test for independence

ß two or categorical variables; the goal of this analyis is to see if the pattern of frequencies at each level of one variable vary as a function of the levels of the other variable