1. The typical sequence of Exploratory-to-Descriptive research is sometimes foll

Question

1. The typical sequence of Exploratory-to-Descriptive research is sometimes followed by an Exploratory research in order to:

a. Spend the remaining money, so the budgets for future studies are not cut

b. Prepare the “beachhead” for the next study

c.Impress the management

d. Use the “respondents” to clarify the results of the descriptive study

e. None of the above

2. The difference between the Main Testing Effect and the Interactive Testing Effect is that

a. Interactive testing effect involves the “treatment” variable

b. Main Testing Effect is more damaging

c. Main testing Effect occurs in the experimental group and the Interactive Testing Effect in the Control group

d. All of the above

e. None of the above

3. In the “Before-After with Control Group” design, the Control groups allows for:

a. Control of the Main Testing Effect

b. Control of the Interactive Testing Effect

c. Control of both, the Interactive and the Main Testing Effect

d. Use of a control group controls for neither, the Interactive and the Main Testing Effect

e. The name of the design to be a misnomer, there is no Control group as such

4. Selecting respondents who hold a very favorable attitude for a study of the effect of a promotional campaign on consumer attitudes is an example of "statistical regression."

true

false

5. A sample of those Wisconsin students who held the most extreme views (positive and negative) on coeducational dorms was selected for intensive interviewing for their reasons why. Upon repeated questioning, the students tended to convey moderate views on the question. This is an example of statistical regression.

true

false

Explanation / Answer

1. b. Prepare the “beachhead” for the next study

2. c. Main testing Effect occurs in the experimental group and the Interactive Testing Effect in the Control group

3. b. Control of the Interactive Testing Effect

4. False

5. False.

Explanation for 4 & 5:Statistical Regression is a technique used to determine how a variable of interest, or a dependent variable, is affected by one or more independent variables. Basically, Statistical Regression answers the question: What will be the value of Y (the dependent variable) if I change the value of X (the independent variable)?

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