1 / 8

Analyzing differences between groups

Analyzing differences between groups. CHAPTER 13. Analyzing Differences between groups. Difference Analysis. Examines difference between Independent variables (IVs) using discrete categories.

lhutchinson
Download Presentation

Analyzing differences between groups

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Analyzing differences between groups

  2. CHAPTER 13 Analyzing Differences between groups

  3. Difference Analysis • Examines difference between Independent variables (IVs) using discrete categories. • This means that you come the responses for subjects in each IV for how they responded to each variable/question. • An example comparing M & F for each of the needs on the extra credit survey

  4. Nominal level data • Chi-square test—examines differences between categories of an independent variable with respect to dependent variables • Example –comparing the 2 magazine in your content analysis

  5. Interval level data • T-Test – examines differences between 2 (IV) groups measured on an interval/ratio dependent variable • Example –large or small screen size and subjects’ responses to credibility questions

  6. T-Tests • Independent t-test—examines 2 different groups Large versus small TV screen size • Related-measures t Test-examines differences between 2 sets of related measures • Mainly used to compare pre- & post- test of the same group of subjects

  7. ANOVA • Analysis of Variance (ANOVA) • Similar to t-test except there are 3 or more Ivs • Example: Year in college (Freshman, Sophomore, Junior, Senior and Overall satisfaction with CSU)

  8. Correlations • Tests relationships between variables • Types of correlations

More Related