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Data Analysis in Psychology: One-Way ANOVA Contrast Codes Examples - Prof. Gary Mcclelland, Assignments of Statistics

This document from psych 5741/5751 at university of colorado boulder provides examples of contrast codes for one-way analysis of variance (anova) problems. Topics include testing picture vs. No picture in advertising, drug groups vs. Control groups, and performance with different intertrial intervals. Students will learn how to generate orthogonal contrast codes for various hypotheses.

Typology: Assignments

Pre 2010

Uploaded on 02/13/2009

koofers-user-eof
koofers-user-eof 🇺🇸

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Download Data Analysis in Psychology: One-Way ANOVA Contrast Codes Examples - Prof. Gary Mcclelland and more Assignments Statistics in PDF only on Docsity! Psych 5741/5751: Data Analysis University of Colorado @ Boulder Gary McClelland & Charles Judd Prepared to accompany Judd & McClelland (1989) — 1— PRACTICE PROBLEMS One-Way ANOVA Contrast Code Problems 1. An advertising director tests the effectiveness of three types of ads: those with color pictures, those with black and white photos, and those with no pictures. Subjects rate each type of ad. Specify a contrast code to test picture vs. no picture and specify the other orthogonal contrast code. What does the other contrast code test? 2. A drug company wishes to test the side effects of a new drug. They used five groups: a control group which received no medication (C1), a control group which received an inert placebo (C2), a treatment group which received the regular formulation of Drug A (A1), another treatment group which received a buffered version of Drug A (A2), and a final treatment group which received a different Drug B which is presumed to have the same therapeutic effects as Drug A (B). Generate a set of contrast codes for groups C1, C2, A1, A2, and B to answer these questions: 1. Do the drug groups differ from the control groups? 2. Do the two control groups differ from each other? 3. Do the Drug A groups differ from the Drug B group? 4. Do the two formulations of Drug A differ from each other? Verify that all of your contrast codes are orthogonal to each other. 3. Subjects are given some material to learn for 10 trials, with the independent variable intertrial interval (the interval between successive trials) being manipulated at intervals of 0 seconds (massed practice) and 20, 40, and 60 seconds (distributed or spaced practice). 80 subjects are randomly assigned to one of the four groups for a total of 20 subjects per group. Specify a code for testing the hypothesis that performance will steadily increase as the intertrial interval increases (linear trend). Specify another code that will test the hypothesis that performance will be better for the middle levels than for either extreme (quadratic trend). If you can, specify the third code that will complete the set of contrast codes (cubic trend), but you may need a table of orthogonal polynomials to find the third code. 4. Fifth-grade students representing five ethnic groups are compared in terms of school attitude. The five ethnic groups are Afro-Americans, Hispanics, Native Americans , Asian-Americans, and Whites. Generate any complete set of contrast codes which you believe would be appropriate for analyzing these data. Indicate the question asked by each code you generate. 5. Four different groups of subjects are asked to study a set of materials describing automobiles. One group (MEMORY) is told to prepare for a
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