Deck 19: Selection of Appropriate Statistical Methods: Integration of Design and Analysis

Question 1

Dr. Spielberg wants to assess excitement at the Golden Globe Awards and the Academy Awards. He invites 30 movie stars to attend both functions and asks them to rank the awards in order of preference (1 = most preferred/30 = least preferred). What statistic should he use?

A) ANOVA with repeated measures
B) Paired samples t tests
C) Wilcoxon
D) Friedman
E) McNemar

Answer 1

Wilcoxon

Question 2

Tiger Woods hypothesizes that Master's Champion winners will score better than non- Master's Champion winners on the golf tour based on their average score for the year. This hypothesis should be tested with what statistic?

A) Independent samples t test
B) ANOVA with repeated measures
C) Friedman
D) Cochran Q-test

Answer 2

Independent samples t test

Question 3

Lucky Larry is going to match pairs of lotto winners and non-lotto winners on age and gender. He will then measure them on the dependent variable "quality of life" as assessed by their annual income. What statistic would be best?

A) ANOVA with repeated measures
B) ANOVA
C) Wilcoxon
D) Paired samples t test

Answer 3

Paired samples t test

Question 4

Jennifer Lopez wants to compare audience reactions to three of her movies (Selena, Anaconda, Out of Sight) using a summated Likert scale assessment tool. What type of statistic is appropriate for her to use?

A) t test
B) One-way ANOVA
C) Mann Whitney U test
D) Kruskal Wallis

Question 5

What statistic would you use for a 3 X 3 X 2 factorial design with a normally distributed DV?

A) Factorial ANOVA
B) Factorial ANOVA with repeated measures on all factors
C) MANOVA
D) Logistic regression

Question 6

Every statistical test is based on certain assumptions. Some of the assumptions for parametric difference statistics include:

A) The dependent variables must be approximately normally distributed
B) Equality of variances
C) The assumption of independence
D) All of the above

Question 7

Match the example with the appropriate statistic:

-Within-subjects design, one normally distributed DV, two IVs.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 8

Match the example with the appropriate statistic:

-Nominal DV, one IV with 2 levels, between-groups design.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 9

Match the example with the appropriate statistic:

-Ordinal DV, one IV with 3 or more levels, between-groups design.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 10

Match the example with the appropriate statistic:

-Several normal DVs considered together, two or more IVs, between-groups design.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 11

Match the example with the appropriate statistic:

-A two variable associational question, both variables normally distributed.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 12

Match the example with the appropriate statistic:

-One IV with 2 levels, normal DV, between-groups design.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 13

Match the example with the appropriate statistic:

-Several normally distributed IVs, one normally distributed DV.

A) MANOVA
B) Kruskal-Wallis
C) Pearson (r)
D) Factorial ANOVA with repeated measures on all factors
E) Chi-square
F) t test or one-way ANOVA
G) Multiple regression

Question 14

Experimental, quasi-experimental, and comparative approaches utilize the same types of statistics.

Question 15

Difference statistics are used to compare a few groups in terms of each groups' average scores on the DV.

Question 16

When there is a negative association between two variables, participants who have low scores on variable one tend to have high scores on variable two.

Question 17

If there is no association, individuals who score high on one variable will score low on the second variable.

Question 18

A factorial design has only one IV and one DV.

Question 19

If the IV has five or more nominal levels, difference inferential statistics would be used.

Question 20

Associational statistics should be used when there are seven unordered levels of the IV.

Question 21

Associational statistics should be used when there are five or more ordered levels of the IV.

Question 22

The level of measurement of the DV does not affect the type of statistic to be used.

Question 23

What are the three general assumptions for the use of parametric statistics?

Question 24

What is the highest level of measurement?

Question 25

Using Figure 19.3 In the text , what type of independent variable is needed to conduct a one-way ANOVA? What type of dependent variable is needed?

Question 26

What statistics should be conducted with two variables that are nominal?