Choosing the Correct Statistical Test

These flashcards cover key vocabulary related to statistical tests and research design principles as outlined in the lecture notes.

Independent Variable (IV)

A variable that is manipulated to observe its effect on the dependent variable.

Dependent Variable (DV)

The outcome variable that is measured to assess the effect of the independent variable.

Parametric Tests

Statistical tests that assume the data meets certain conditions such as normality and homogeneity.

Non-parametric Statistics

Statistical tests used when data does not meet parametric assumptions, typically for nominal or ordinal data.

Between-Subjects Design

A research design in which different subjects are assigned to different groups.

Within-Subjects Design

A research design where the same subjects are used in all treatment groups.

Complex Comparison

Statistical analysis involving multiple independent variables or groups.

Basic Comparison

Statistical analysis involving only one independent variable.

Longitudinal Studies

Research studies that take place over a long period to observe changes over time.

Crossover Designs

Experimental designs where subjects receive different treatments at various times.

Chi Square Test

A statistical test used to determine if there is a significant association between categorical variables.

Pearson’s r

A measure of the linear correlation between two variables, ranging from -1 to +1.

Multiple Regression

Statistical analysis used to predict the value of a variable based on the value of two or more other variables.

ANOVA (Analysis of Variance)

A statistical method used to compare means among three or more groups.

Spearman Rank Correlation

A non-parametric measure of rank correlation, evaluating the relationship between two variables.