A one-way between groups ANOVA indicates that there is how many independent variables?

Prepare for the UEL DClinPsy Selection Test with interactive questions and thorough explanations. Master key psychological concepts and enhance your clinical acumen for success.

A one-way between groups ANOVA analyzes the impact of one independent variable on a dependent variable across different groups. The term "one-way" specifies that only a single independent variable is being considered, which can take on different levels or categories. This method is useful for comparing the means of the dependent variable across these groups to determine if there are statistically significant differences.

In contrast, options suggesting two or more independent variables refer to different statistical analyses, such as two-way ANOVA, which examines the interaction between two independent variables, or even more complex designs involving multiple factors. Recognizing that the focus is on a single independent variable is key to understanding the framework and application of the one-way ANOVA within statistical methods.

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