Table of Contents

 

            Choosing the Correct Statistical Test: An Overview

 

1 Sample t-test

·        1 Continuous Dependent Variable with normal distribution

·        0 Independent Variables

 

1 Sample Median

·        1 Continuous Dependent Variable with non-normal distribution

·        0 Independent Variables

 

Binomial test

·        1 Bi-level Categorical Dependent Variable

·        0 Independent Variables

 

Chi-Square Goodness of Fit

·        1 Categorical Dependent Variable

·        0 Independent Variables

·         

2 Independent Sample t-test

·        1 Continuous Dependent Variable with normal distribution

·        1 (2 level) Categorical Independent Variable

 

Wilcoxon Signed Ranks Test

·        1 Continuous Dependent Variable with non-normal distribution

·         1 (2 level) Categorical Independent Variable

 

Chi Square Test

·        1 Categorical Dependent Variable

·        1 (2-level) Categorical Independent Variable

 

Fisher Exact Test

·        1 Categorical Dependent Variable

·        1 (2 level) Categorical Independent Variable

 

Paired t-test

·        1 Continuous Dependent Variable with normal distribution

·        1 (2 Level) Categorical Independent Variable

 

One-way repeated measures ANOVA

·        1 Continuous Dependent Variable with normal distribution

·        1 (Multi-Level) Categorical Independent Variable

 

Friedman Analysis of Variance by Ranks

·        1 Continuous Dependent Variable with non-normal distribution

·        1 (Multi-Level) Categorical Independent Variable

 

One-way ANOVA

·        1 Continuous Dependent Variable with normal distribution

·        1 (Multi-level) Categorical Independent Variable

 

Kruskal Wallis

·        1 Continuous Dependent Variable with non-normal distribution

·        1 (Multi-level) Categorical Independent Variable

 

Linear Discriminant Analysis

·        1 Categorical Dependent Variable

·        1 or more Continuous Independent Variable with normal distribution

 

Factorial ANOVA

·        1 Continuous Dependent Variable with normal distribution

·        2 or more Categorical Independent Variables

 

Linear Regression

·        1 Continuous Dependent Variable with normal distribution

·        1 Continuous Independent Variable with normal distribution

 

Multiple Regression

·        1 Continuous Dependent Variable with normal distribution

·        Multiple Continuous Independent Variables with normal distribution

 

ANCOVA

·        1 Continuous Dependent Variable with normal distribution

·        2 (or more) Categorical or Continuous Independent Variables with normal distribution

 

Glossary

References

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

A Guide to Choosing the Correct Statistical Test for HCI Research

 

Written by: Pam Ludford

Spring, 2003