Use LEFT and RIGHT arrow keys to navigate between flashcards;
Use UP and DOWN arrow keys to flip the card;
H to show hint;
A reads text to speech;
30 Cards in this Set
- Front
- Back
|
Because of the development of the between groups ANOVA, there really should not be any need to ever use the ____
|
independent samples t-test.
|
|
|
Because of the development of the repeated measures ANOVA, there really should be any need to ever use the ____
|
paired samples t-test
|
|
|
The non-parametric equivalent of the one-way between measures ANOVA is the…
|
Kruskal-Wallis test
|
|
|
The non-parametric equivalent of the one-way repeated measures ANOVA is the…
|
Friedman ANOVA
|
|
|
To test the hypothesis that an interval/ratio scored variable is associated with an interval/ratio scored variable, one should conduct a … |
Pearson correlation |
|
|
To test the hypothesis that an ordinal scored variable (4 levels) is associated with an ordinal scored variable (4 levels), one should conduct a …
|
Spearman correlation
|
|
|
To test the hypothesis of equal means associated with two independent groups, one should conduct a ….
|
independent samples t-test
|
|
|
To test the hypothesis of equal means associated with two dependent groups, one should conduct a ….
|
paired samples t-test
|
|
|
To test the hypothesis that an interval/ratio scored variable predicts an interval/ratio variable, one should conduct a … |
bivariate regression
|
|
|
To test the hypothesis that nominal scored variable (two levels) predicts an interval/ratio variable, one should conduct a …
|
bivariate regression
|
|
|
To test the hypothesis that two or more interval/ratio scored variables predict an interval/ratio variable, one should conduct a… |
multiple regression.
|
|
|
To estimate the unique contribution an interval/ratio variable has made to a regression equation, one should estimate its corresponding _____.
|
beta weight.
|
|
|
To test the omnibus hypothesis of equal means associated with three independent groups, one should conduct a ….
|
one-way between groups ANOVA
|
|
|
To test the omnibus hypothesis of equal means associated with three or more dependent groups, one should conduct a … |
one-way repeated measures ANOVA
|
|
|
To test the hypothesis that the effect a nominally scored independent variable (between-groups) has on an interval/ratio dependent variable depends on the values of another nominally scored independent variable (between-groups), one should conduct a… |
Between groups factorial ANOVA
|
|
|
A researcher has a factorial design with a dependent variable measured on an interval scale, one independent variable measured on a nominal scale (gender) and another independent variable with 4 levels measured on a nominal scale. What would be the appropriate full description of the ANOVA that could be performed on such data?
|
2 by 4 factorial between-groups ANOVA
|
|
|
To test the omnibus hypothesis of equal means associated with a combination of one independent groups factor and one dependent groups factor, one should conduct a …. |
mixed-design ANOVA
|
|
|
To test the hypothesis that a dichotomous event has been observed across several occasions beyond chance, one should conduct a …
|
binomial test.
|
|
|
To test the hypothesis that two proportions associated with two independent groups are different statistically, one should conduct a …
|
Pearson chi-square analysis. |
|
|
To test the hypothesis of an association between two independent variables scored on a nominal scale with two levels, one should conduct a … |
2*2 Pearson chi-square analysis
|
|
|
To test the hypothesis that the two percentages associated with a repeated measures design are unequal, one should conduct…
|
McNemar chi-square analysis
|
|
|
To test the omnibus hypothesis of equal percentages across three or more levels in a repeated measures design, one should conduct …
|
Cochran’s Q |
|
|
To test the omnibus hypothesis of equal proportions associated with a within-subjects factor and a dependent variable measured on a dichotomous scale, one should conduct a … |
Cochran’s Q
|
|
|
To test the omnibus hypothesis of equal mean ranks associated with a between-subjects factor and a dependent variable measured on an on ordinal scale, one should conduct a ….
|
Kruskal-Wallis
|
|
|
To test the hypothesis of equal mean ranks associated with a between-subjects factor with only two levels, one should conduct a …. |
Mann-Whitney Test
|
|
|
To test the omnibus hypothesis of equal mean ranks associated with a within-subjects factor and a dependent variable measured on an ordinal scale, one should conduct a … |
Friedman’s ANOVA
|
|
|
In order to test the hypothesis of a trend in mean ranks associated with within-subjects factor data, one should conduct a….
|
Kendall’s W test
|
|
|
To test the hypothesis of equal mean ranks associated with a within-subjects factor with only two levels, one should conduct a …..
|
Wilcoxon-Signed Rank Test
|
|
|
In order to test the hypothesis of equal between-groups means on a dependent variable measured on an interval/ratio scale, controlling for the effects of an interval/ratio variable, one should conduct an _____. |
ANCOVA
|
|
|
To test the hypothesis that an interval/ratio scored variable is associated with a dichotomous variable, on should conduct a …
|
point-biserial correlation
|
