Normality, Post-Hoc, and Non-Parametric Tests Flashcards

1
Q

Durbin-Watson Statistic

A

Used in linear and multiple regressions
Should range between 1.5-2.5
Checks independent observations

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2
Q

VIF

A

Variance Inflation Factor
Ideal value is less than 10
Tests multicollinearity

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3
Q

Levene’s Test

A

p = >0.05
Homogeneity of variances

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4
Q

Shapiro-Wilk Test

A

ANCOVA’s:
p = > 0.05
Residuals normally distributed for each category of the IV
ANOVAS:
p = > 0.05
DV is normally distributed for each category of the IV
T-Tests:
p = > 0.05
DV is normally distributed

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5
Q

Mauchly’s Test

A

p = > 0.05
Sphericity

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6
Q

Wilcoxon rank-sum sign test

A

Non-para version of independent/unrelated (between-subjects) t-test
Rank non-normally distributed data regardless of group, then significance test (does one of the groups have more of the higher ranking scores than the other?)

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7
Q

Mann-Whitney U Test

A

Non-para version of independent/unrelated (between-subjects) t-test

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8
Q

Kruskall-Wallis Test

A

(for trends)
Non-para version of 1 way ind ANOVA

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9
Q

Friedman Test/Friedmans ANOVA

A

Non-para version of one-way repeated (within-subjects) ANOVA

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10
Q

Fisher’s Exact Test

A

Used when a Chi-Square test has a small sample size and expected frequencies are lower than 5

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11
Q

Wilcoxon signed-rank test

A

Non-para version of repeated measures/related (within-subjects) t-test

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12
Q

Jonckheere-Terpstra

A

Non-para version of 1 way ind ANOVA

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13
Q

Loglinear analysis (cat outcome and participants as a factor)

A

Non-para version of multi-way between or within-subjects ANOVA

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14
Q

Spearman’s Rho

A

Non-para version of correlation

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15
Q

Kenall’s Tau

A

Non-para version of correlation

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16
Q

Greenhouse-Geisser

A

Corrects for a lack of sphericity (which would have been tested with Mauchly’s Test)

17
Q

Huyn-Feldt

A

Corrects for a lack of sphericity (which would have been tested with Mauchly’s Test)

18
Q

Lower-Bound estimates

A

Corrects for a lack of sphericity (which would have been tested with Mauchly’s Test)

19
Q

Games-Howell

A

Post-Hoc Test
Used when Levene’s test of homogeneity of variance is significant

20
Q

Gabriel

A

Post-Hoc Test
Levene’s test of homogeneity is not significant, there are slightly different different numbers of participants in each condition/level

21
Q

Hochberg’s GT2

A

Post-Hoc Test
Levene’s test of homogeneity is not significant, there are very different numbers of participants in each condition/level

22
Q

Bonferroni

A

Post-Hoc Test
Levene’s test of homogeneity is not significant, there are NOT different numbers of participants in each condition/level, a few pairwise comparisons will be made

23
Q

Tukey

A

Post-Hoc Test
Levene’s test of homogeneity is not significant, there are NOT different numbers of participants in each condition/level, a many pairwise comparisons will be made