Sign Test (S) Calculator
Non-parametric test for difference between two related groups.
Formula first
Overview
The Sign Test is a non-parametric statistical test used to determine the significance of differences between paired observations in a repeated measures design. It ignores the magnitude of differences and focuses exclusively on the direction of change, making it highly resistant to outliers.
Symbols
Variables
S = Sign Statistic, n_+ = Plus Signs, n_- = Minus Signs
Apply it well
When To Use
When to use: Use the Sign Test when analyzing ordinal data or non-normally distributed interval data within a related-samples design. It is ideal for small sample sizes or situations where the only reliable information is the direction of a change rather than its specific value.
Why it matters: In psychological research, it provides a simple yet robust method to verify if a treatment or intervention consistently affects participants. It is often used as a preliminary analysis to determine if a trend exists before applying more complex parametric tests.
Avoid these traps
Common Mistakes
- Counting the most frequent sign instead of the least.
One free problem
Practice Problem
A clinical psychologist observes 15 patients after a new therapy session. 12 patients reported a decrease in anxiety levels (negative signs) while 3 reported an increase (positive signs). Calculate the Sign Test statistic S.
Solve for:
Hint: The test statistic S is the minimum value between the count of positive and negative changes.
The full worked solution stays in the interactive walkthrough.
References
Sources
- Wikipedia: Sign test
- Discovering Statistics Using IBM SPSS Statistics (Andy Field)
- Field, A. (2018). Discovering Statistics Using IBM SPSS Statistics (5th ed.). SAGE Publications.
- Aron, A., Aron, E. N., & Coups, E. J. (2013). Statistics for Psychology (6th ed.). Pearson.
- Gravetter and Wallnau Statistics for the Behavioral Sciences
- Field Discovering Statistics Using IBM SPSS Statistics
- A-Level Psychology — Research Methods / Statistics