1. Unit 9: Planned Contrast ANOVA Lesson 1: Merging Regression and ANOVA EDER 6010: Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas Planned Contrast Next Slide
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4. Creating Contrast Variables Contrasts reflect the associations that we want to test Contrast 1 tests H 0 : M blondes =M brunettes Contrast 2 tests H 0 : M blondes & brunettes =M redheads Next Slide Maximum number of contrasts = K –1 -2 0 111.5 Redheads 1 -1 107 Brunettes 1 1 105 Blondes Contrast 2 Contrast 1 Mean
5. Practice Contrast Variables C1 – H 0 : M white =M black C2 – H 0 : M asian and hisp. =M nat.amer. C4 – H 0 : M w,a,na. =M b C3 – H 0 : M w,b,h,na =M a Next Slide 1 1 -2 0 Native American 0 1 1 0 Hispanic 1 -4 1 0 Asian -3 1 0 -1 Black 1 1 0 1 White C4 C3 C2 C1
9. Planned Contrast ANOVA Output (cont.) SS c2 = 88.667 – 8.0 = 80.667 F-crit on 1 and 9 df = 5.12 Next Slide SS c2 =SS 2 regression – SS 1 regression Y N
11. A New Example Next Slide You will have 5 “Blocks.” C1 in Block 1; C2 in Block 2; etc.
12. SPSS Output for “New Example” Next Slide SS c2 =.333 - .250 SS c3 =.375 - .333 SS c4 =.400 - .375 SS c5 =370.417 - .400
13. Results for “New Example” Next Slide F-crit on 1 and 6 df = 5.99
14. “Other” Examples Next Slide -1 -1 -1 0 Group 5 -1 -1 1 0 Group 4 4 0 0 0 Group 3 -1 1 0 -1 Group 2 -1 1 0 1 Group 1 C4 C3 C2 C1
15. Unit 9: Planned Contrast ANOVA Lesson 1: Merging Regression and ANOVA EDER 6010: Statistics for Educational Research Dr. J. Kyle Roberts University of North Texas Planned Contrast
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