Basic Data Analysis for Quantitative Research

These flashcards cover key vocabulary and definitions related to data analysis in quantitative research.

Independent Samples Comparison

A method that tests if the means of two groups (e.g., male and female) are significantly different.

Related Samples Comparison

A method that compares the means of the same respondents under different conditions or questions.

Null Hypothesis

The assumption that there is no difference between the means of two variables.

t-test

A statistical test used to determine if there is a significant difference between the means of two groups.

Paired Samples t-test

A test that compares means of two related groups to determine if there is a significant difference.

ANOVA (Analysis of Variance)

A statistical method used to compare means between three or more groups to determine if there are significant differences.

F-test

A test to determine if the observed variances between group means are statistically significant.

n-Way ANOVA

An extension of ANOVA that examines the effect of two or more independent variables on a dependent variable.

Between-group variance

The variance that measures how much sample means of different groups differ from each other.

Within-group variance

The variance that measures how much individual responses within each group differ from their group mean.