Why is it important to compare your comparison groups (e.g., control and treatment) on demographic variables?

	A.	To add extra analyses to your dissertation
	B.	To show they are similar and therefore all comparisons of dependent variables are valid
	C.	To show they are different so that is known up front
	D.	To answer a research question

Question 37

Answer the following questions from our Sample Database using the list of statistics below. Which test will tell you what you want to know? You may use each answer more than once, but you won't use all of them. Some questions have more than one correct answer (but you only have to give one answer).

- A. B. C. D. E. F. G. H. I.	Can customers' credit scores be predicted by their short-term debt, age, and savings?
- A. B. C. D. E. F. G. H. I.	Customers were asked if they prefer to receive an electronic or paper statement both in years one and two. Did the responses change?
- A. B. C. D. E. F. G. H. I.	Do the males and females have similar amounts in savings?
- A. B. C. D. E. F. G. H. I.	Did males and females have different numbers of credit inquiries in years one and two?
- A. B. C. D. E. F. G. H. I.	The three groups answered the survey question differently (based on the one-way ANOVA), but which group(s) was different from which?
- A. B. C. D. E. F. G. H. I.	Did the customers have different responses on survey question one in years one and two (Likert scale)?
- A. B. C. D. E. F. G. H. I.	Did the four age groups answer question 5 on the survey differently in year one (Likert scale)?
- A. B. C. D. E. F. G. H. I.	Are the males and females different on their Q15 response (myself/someone else)?
- A. B. C. D. E. F. G. H. I.	Are the age groups different on their amount in savings when controlling for years employed full-time?

A.	One-way ANOVA
B.	Independent samplesttest or one-way ANOVA
C.	ANCOVA
D.	Chi square
E.	Paired samplesttest
F.	Mixed-model ANOVA
G.	Tukey
H.	McNemar's test
I.	Multiple regression

Question 41

Use the chi square output below to answer the following question.

RACE * GENDER Crosstabulation
	GENDER	Total
Female	Male
RACE	African American	Count	2	8	10
% within RACE	20.0%	80.0%	100.0%
Caucasian	Count	3	6	9
% within RACE	33.3%	66.7%	100.0%
Asian	Count	2	3	5
% within RACE	40.0%	60.0%	100.0%
Total	Count	7	17	24
% within RACE	29.2%	70.8%	100.0%

Chi-Square Tests
	Value	df	Asymptotic Significance (2-sided)
Pearson Chi-Square	.896a	2	.523
Likelihood Ratio	.779	2	.677
Linear-by-Linear Association	.707	1	.401
N of Valid Cases	24
a. 4 cells (66.7%) have expected count less than 5. The minimum expected count is 1.46.

This chi square compares the races on their gender makeup. Look at the descriptive statistics to better understand the answer you gave in the previous question. Which of the following helps describe that finding the BEST?

	A.	Every racial group has more males than females in it.
	B.	The genders aren't equal.
	C.	The Asian group was the closest to having an equal number of males and females.
	D.	There were more African American students than other racial groups.

Question 26

Which of the following could be answered with a Pearsonrtest?

	A.	To see if reading posttest scores can be predicted by reading level and age
	B.	To see if reading levels are related to reading pretest scores
	C.	To see if the control and Super groups are similar on their reading levels
	D.	To see if the three conditions differ by reading level

Question 27

What does the within-subjects comparison in a mixed-model ANOVA do?

	A.	Looks for relationships as well as differences
	B.	Compares repeated measures of a dependent variable
	C.	Make comparisons between multiple sets of groups
	D.	Makes comparisons between different groups

Question 28

What does the between-subjects comparison in a mixed-model ANOVA do?

	A.	Compares repeated measures of a dependent variable
	B.	Makes comparisons between different groups
	C.	Looks for relationships as well as differences
	D.	Breaks down independent and dependent variables

Question 29

What does a mixed-model ANOVA do?

	A.	Looks for relationships as well as differences
	B.	Makes comparisons between different groups
	C.	Makes within-subjects comparisons
	D.	Compares both within the whole group and between different groups