Violation of Homogeneity Assumption and Posthoc Test Results

homogeneity n.w
1 / 6
Embed
Share

An exploration of violating the homogeneity assumption in data analysis, presented through PSPP output and posthoc test results for multiple comparisons, with guidance on selecting the appropriate statistical procedure.

  • Homogeneity
  • Assumption
  • Posthoc Tests
  • Statistical Analysis

Uploaded on | 1 Views


Download Presentation

Please find below an Image/Link to download the presentation.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.

You are allowed to download the files provided on this website for personal or commercial use, subject to the condition that they are used lawfully. All files are the property of their respective owners.

The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author.

E N D

Presentation Transcript


  1. Homogeneity The assumption of homogeneity is violated. 1

  2. PSPP Output Main effects 2

  3. PSPP Output 3

  4. Posthoc Tests 4

  5. Posthoc Tests - Results Multiple comparisons report the significance test of mean differences of all possible pairs Refer to Field for the most appropriate procedure given the situation and consideration of what is more important: control over familywise error or greater statistical power 5

  6. Posthoc Tests - Results 6

More Related Content