From the course: Meta-analysis for Data Science and Business Analytics
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Standardized mean difference: Dependent groups
From the course: Meta-analysis for Data Science and Business Analytics
Standardized mean difference: Dependent groups
- [Instructor] Another method of testing the difference and the means of two groups is often called the dependent group's T-test. In the versions of the main differences that I've discussed so far, the two groups have been independent of one another. Ideally, one group comprises a random sample from one population, and the other group comprises a random sample from another population. The difference between the two group means can be tested by an independent group's T-test. But, you'll often find designs and analyses that assume that there's a relationship between the two groups, a relationship that can be measured by a correlation. For example, you might study measures of brothers' and sisters' health status, such as cholesterol level. Both groups would receive a treatment such as a medication. Lastly, you'd administer an outcome test. In this case, a cholesterol test. Because there is a test associated with each member of a pair of subjects in the study, it's possible to calculate…
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.