Statistics: Name That Test! Flashcards

(33 cards)

1
Q

Nominal Data

1 Variable

A

Single-sample Chi-Square Test

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2
Q

Nominal Data

2+ Variables

A

Multiple-sample Chi-Square Test

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3
Q

Ordinal Data

2 Independent Groups

A

Mann-Whitney U Test

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4
Q

Ordinal Data

2 Correlated Groups

A

Wilcoxon Matched-Pairs Test

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5
Q

Ordinal Data

2+ Independent Groups

A

Kruskal-Wallis Test

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6
Q

Single Sample

A

single sample t-test

group v population

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7
Q

2 Independent Groups

A

t-test for independent samples

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8
Q

2 Correlated Groups

A

t-test for correlated samples

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9
Q

1 IV

2+ Independent Groups

A

one-way ANOVA

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10
Q

2+ IV’s

Independent Groups

A

factorial ANOVA

aka two-way, three-way

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11
Q

Including Extraneous Variable as IV

A

Randomized block ANOVA

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12
Q

Removing Extraneous Variance

A

ANCOVA

[analysis of covariance]

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13
Q

Independent and Correlated Groups

A

mixed [split-plot] ANOVA

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14
Q

2+ Correlated Groups

A

Repeated measures ANOVA

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15
Q

Quantitative IV

A

Trend analysis

*linear or nonlinear trends

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16
Q

Correlation:

Interval/ratio scale variables

17
Q

Correlation:

Rank-ordered scale variables

A

Spearman rho

*RhO for ‘R’ank ‘Ordered’

18
Q

Correlation:

True dichotomy variables

19
Q

Correlation:

Artificial dichotomy variables

20
Q

Correlation:

Nominal scale variables

21
Q

Correlation:

Interval/ratio variable
True dichotomy variable

A

Point Biserial

22
Q

Correlation:

Artificial dichotomy variable
Interval/ratio variable

23
Q

Correlation:

Interval/ratio variables
Nonlinear relationship

24
Q

1+ IV’s

2+ dv’s

A

MANOVA

“MULTIvariate” (2+ dv’s)

25
Non-Parametric Alternative for: t-test for independent samples
Mann-Whitney
26
Non-Parametric Alternative for: one-way ANOVA
Kruskal-Wallis
27
Non-Parametric Alternative for: t-test for correlated samples
Wilcoxon
28
Research Design: Single Group DV is measured at regular intervals BEFORE and AFTER treatment only
Interrupted time series design
29
Multiple Regression: 2+ X's 1 Nominal Y NONlinear relationships
Logistic regression
30
Multiple Regression: 2+ X's 1 nominal Y Linear Relationships
Discriminant Function Analysis *Accuracy measure = "hit rate"
31
Multiple Regression: 2+ X's 2+ Y's
Canonical Correlation
32
Two or more continuous or discrete predictors one criterion
Multiple Regression
33
Multiple Regression: Two techniques used to place people into predefined groups
Discriminant Function analysis Logistic Regression