1 / 4

Dependent (Criterion) Variable – Academic Success: Academic Major Grade Point Average (Major_GPA)

EPS 625 – Intermediate Statistics Block Entry (Hierarchical) Multiple Linear Regression Example II – Academic Success. Dependent (Criterion) Variable – Academic Success: Academic Major Grade Point Average (Major_GPA). Independent (Predictor) Variables:

Download Presentation

Dependent (Criterion) Variable – Academic Success: Academic Major Grade Point Average (Major_GPA)

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. EPS 625 – Intermediate Statistics Block Entry (Hierarchical) Multiple Linear Regression Example II – Academic Success Dependent (Criterion) Variable – Academic Success: Academic Major Grade Point Average (Major_GPA) Independent (Predictor) Variables: Socio Economic Status when entering college (SES) Age when entering college (Age) High School Grade Point Average (HS_GPA) ACT composite score (ACT_Comp) Model 1 (Block 1, Control) Variables – Personal: Socio Economic Status when entering college (SES) Age when entering college (Age) Model 2 Change (Block 2) Variables – Ability/Aptitude: High School Grade Point Average (HS_GPA) ACT composite score (ACT_Comp)

  2. Total (Model 2 – Full) R2 = .672 and is significant F(4, 495) = 253.319, p < .001

  3. Control Variables (Model 1) R2 = .023 and is significant F(2, 497) = 5.835, p < .01

  4. Block 2 (Model 2, Change) R2Change = .649 and is significant F Change(2, 495) = 489.337, p < .001

More Related