Test Review

Question 1

one way analysis of variance

Answer 1

one dependent variable, one independent variable with three levels
non-parametric: Kruskal-Wallis test

Question 2

factorial analysis of variance

Answer 2

one dependent variable, two or more independent variables with multiple levels

Question 3

Multivariate Analysis of Variance

Answer 3

using more than one dependent variable

Question 4

Analysis of covariance

Answer 4

used when you are trying to control other factors that might affect your relationships

Question 5

Mann-Whitney U Test

Wilcoxen signed-rank test

Answer 5

two samples that are independent from each other–scores are not normal distributed (independent t-test)

two samples that have been correlated–are not in a normal distribution (dependent t-test)

Question 6

solomon four-group design

Answer 6

examines the effect of any pretest used on the experimental treatment

Question 7

factor analysis

Answer 7

using the correlation coefficient to determine whether a set of variables can be reduced to a smaller number of factors

Question 8

multiple regression

Answer 8

use of the correlation coefficient to determine the strength of the relationship of predictor (independent) variables on a criterion (dependent) variable
-multiple regression adds together the predictive power of several independent predictive variables