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58 Cards in this Set
 Front
 Back
Spearman correlation and Pearson chisquare are two examples of …

nonparametric statistics


Nonparametric statistics should be typically used when the dependent variable is ____

ordinal with 4 or fewer points; ranked data; nominal; highly skewed (>2.0) (4 marks)


Nonparametric tests are not as _____ as parametric tests.

strict


Nonparametric tests do not test hypotheses about …

mean differences.


Technically, in the context of group differences, the nonparametric statistic null hypothesis is that the data have been sampled from …

identical populations


Nonparametric statistics assume that the _____ of the distributions are homogeneous.

shapes 

KruskalWallis assumes _____ of variance.

homogeneity


In the context of nonparametric statistics, there is a _____version of Levene’s test of homogeneity of variance.

medianbased


Technically, we should not apply parametric statistics on data scored on _____ scales.

Likert 

If data are Likert in nature and have ______ points in the scale, it may be argued to be justifiable to apply parametric statistics to them.

5 or more


Nonparametric statistics should always be applied to ____ data.

ranked 

Although simulation research shows that the accuracy of parametric statistics is fairly good in cases where the ordinal scale has 5 or more points, this research assumes that _____, which is ___ in practice.

all points in the scale are used; often not the case (2 marks)


The KruskalWallis test is based on transforming the original dependent variable data into ______.

ranks.


Strictly speaking, the KruskalWallis null hypothesis is that the groups have …

identical population distributions


Differences in group ______ may be implied by a statistically significant KruskalWallis statistic.

mean ranks 

The notion that a difference in group medians may be implied by a statistically significant KruskalWalliss statistic is based on …

strict assumptions being met.


In order to test the assumption of normally distributed data, many people use a statistic called …

ShapiroWilks.


The problem with statistics such as ShapiroWilks for testing distributions for “sufficient normality” is that they are …

excessively powerful


In order to get SPSS to conduct the medianbased version of Levene’s test of homogeneity of variance, one must use the ____ utility and then select the _____ option.

Descriptives > Explore; power estimation within the Plots window (2 marks)


KruskalWallis is essentially based on ____ and then _____the summed ranks within each group.

summing; squaring (2 marks)


What effect size estimate does SPSS calculate for KruskalWallis?

None


Effect size for KruskalWallis can be calculated by…

dividing the chisquare value by N 1 (2 marks) 

Like ANOVA, KruskalWallis is an ______ statistic.

omnibus 

Typically, if a researcher obtains a statistically significant KruskalWallis, the researcher will followup with a series of …

MannWhitney tests.


The MannWhitney test should be ____, given the existence of _____.

dead; KruskalWallis


The MannWhitney test is a nonparametric equivalent of the …

independent samples ttest.


The MannWhitney test tests the null hypothesis that the _____ are equal.

mean ranks


What is the MannWhitney value associated with the SPSS table below?

6.00


From what analysis is the below window in SPSS?

MannWhitney


From what analysis the below window in SPSS?

KruskalWallis


What estimate of effect size does SPSS calculate for MannWhitney test?

none. 

What is the eta squared formula for the MannWhitney test?

Z squared divided by N1 (2 marks)


An alternative to conducting a series of MannWhitney U tests as a followup to a significant KruskalWallis is to conduct a …

JonckheereTerpstra test


The JonckheereTerpstra test is really just a…

trend analysis for mean ranks.


In the SPSS window below, what two tests are missing from the ‘Test Type’ box?

KruskalWallis; JonckheereTerpstra (2 marks)


The effect size estimate reported by SPSS for the JonckheereTerpstra test is referred to as…

there is none.


An effect size statistic that can be calculated by hand based on the JonckheereTerpstra statistic is known as….

eta squared


The following formulate can be used to calculate effect size for the JonchkeereTerpstra statistic….

Z2/(N1)


Friedman’s ANOVA does not assume ______ data.

normally distributed 

Friedman’s ANOVA can be used on data that conform to a ____ factor.

withinsubjects 

One of the limitations of the Friedman ANOVA test is that there is no _____ version of it.

factorial 

Given the existence of Friedman’s ANOVA, _____ should be dead.

Cochran's Q 

Referring to Friedman’s ANVOA as an ANOVA is a …

misnomer. 

The Friedman ANOVA statistic converts the dependent variable into …

ranks. 

When you really get down to it, Friedman’s ANOVA may be considered a test of ...

consistency. 

In the SPSS window below, what two tests are missing from the ‘Test Type’ box?

Friedman’s ANOVA; Cochran’s Q (2 marks)


The formula to estimate effect size in the Friedman ANVOA case is…

chisquare/((N)(k1)) (2 marks)


In the context of conducting a Friedman’s ANOVA, the effect size estimate is known as ….

Kendall’s W


Given that _______ is a measure of effect size, and you can get exactly the same p value for this effect size in SPSS, there is really no need to conduct a …

Kendall’s W; Friedman’s ANOVA (1 mark; yes, 1 mark)


The ______ is a nonparametric equivalent of the dependent samples ttest.

WilcoxonSigned Rank Test


The ______ could be used as a posthoc test in the Friedman omnibus statistic scenario.

WilcoxonSigned Rank Test


Given the existence of Cochran’s Q, ____ should be dead.

McNemar chisquare


Given the existence of Friedman’s ANOVA, _____ should be dead.

Cochran’s Q.


Many nonparametric statistics do in fact assume …

homogeneity of variance.


Nonparametric statistical analyses are often _____ than the corresponding parametric statistical analyses.

less powerful


One of the main limitations associated with nonparametric statistics is that you can’t use them to test …

interactions.


In practice, all too often, nonparametric statistics are not actually the solution to our …

statistical problems.


Betweengroups ANOVA is to KruskalWallis as repeated measures ANOVA is to…

Friedman ANOVA
