Research Methods for the Behavioral Sciences (MindTap Course List)
Research Methods for the Behavioral Sciences (MindTap Course List)
6th Edition
ISBN: 9781337613316
Author: Frederick J Gravetter, Lori-Ann B. Forzano
Publisher: Cengage Learning
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Chapter 11, Problem 3.0E

Suppose a researcher conducts a two-factor study comparing two treatments (I and II) for college graduates versus adults with no college experience. The structure of the study is shown in the following matrix.

Treatment

I. College graduate..

II. No college.

a. If the results show that college graduates have higher scores than the no-college adults in treatment I and equivalent scores in treatment II. is it likely that there will be a main effect for the education factor? Is it likely that there will be an interaction?

b. If the results show that college graduates have higher scores than the no-college adults in treatment I and lower scores than the no-college adults in treatment II, is it likely that there will be a main effect for the education factor? Is it likely that there will be an interaction?

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0 to ld 16. For the data in the following matrix: Male Female No Treatment M = 8 M = 4 overall con M = 6 Treatment M = 14 M = 10 overall M = 12 Overall M=11 Overall M=7 a. Which two means are compared to describe the treatment main effect? b. Which two means are compared to describe the gender main effect? c. Is there an interaction between gender and treat- ment? Explain your answer.
If a researcher found a significant interaction between Factor A and Factor B, what does this mean (in general)? O Both Factor A & Factor B have independent effects. O The effect of Factor A on the dependent variable depends on the level of Factor B. O Only Factor A is significant. none of the above.
The data set hemorrhage.sav contains a sample of 100 low birth weight infants born in Boston, Massachusetts.  Germinal matrix hemorrhage (gmh) is a dichotomos variable that coded as 1 if the baby had a hemorrhage and 0 if the baby did not have a hemorrhage.   You wish to know if head circumference, systolic blood pressure (sbp),  and gender predicts hemorrhage.  (See the attached Image)   Determine the significance of the independent variables in the model, provide the test statistics and p-values to support your response.
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