Research Methods, Statistics, and Applications
Chapter 10: Independent-Groups Design
Video Resource
Video 1: Example of a Between-Subjects Experiment
Learning Objective: 10-1: About different types of independent-groups designs with two levels.
Description: Steps of a simple, two-group, between-subjects experiment. Includes definitions and examples of independent variable, dependent variable, and operational definition.
Web Resources
Web 1: Calculate Effect Size When Comparing Two Groups
Learning Objective: 10-3: How to calculate and interpret the effect size and the confidence interval for an independent-samples t test.
Description: An online calculator to compute Cohen’s d or rpb. If you choose to report a proportion of variance accounted for (rpb2) as the effect size, be sure to square the correlation that the calculator produces.
Web 2: Interpret Results
Learning Objective: 10-2: How to analyze a two-group design with an independent-samples t test. | 10-3: How to calculate and interpret the effect size and the confidence interval for an independent-samples t test. | 10-5: How to calculate and interpret data for multiple-groups designs using a one-way ANOVA.
Description: Provides visual explanations of how to interpret statistical significance and effect sizes. Also discusses practical significance.
Web 3: Cohen’s d Effect Size
Learning Objective: 10-3: How to calculate and interpret the effect size and the confidence interval for an independent-samples t test.
Description: An interactive visualization of Cohen’s d effect size.
Data sets
Practice calculating independent-samples t tests and one-way between-samples ANOVAs with a data analysis program. Use any of the data sets available on the “Datasets” tab.