Statistics: Name That Test! Flashcards by Nick Demas | Brainscape

Q

Nominal Data

1 Variable

A

Single-sample Chi-Square Test

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Q

Nominal Data

2+ Variables

A

Multiple-sample Chi-Square Test

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Q

Ordinal Data

2 Independent Groups

A

Mann-Whitney U Test

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Q

Ordinal Data

2 Correlated Groups

A

Wilcoxon Matched-Pairs Test

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Q

Ordinal Data

2+ Independent Groups

A

Kruskal-Wallis Test

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Q

Single Sample

A

single sample t-test

group v population

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Q

2 Independent Groups

A

t-test for independent samples

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Q

2 Correlated Groups

A

t-test for correlated samples

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Q

1 IV

2+ Independent Groups

A

one-way ANOVA

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Q

2+ IV’s

Independent Groups

A

factorial ANOVA

aka two-way, three-way

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Q

Including Extraneous Variable as IV

A

Randomized block ANOVA

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Q

Removing Extraneous Variance

A

ANCOVA

[analysis of covariance]

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Q

Independent and Correlated Groups

A

mixed [split-plot] ANOVA

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Q

2+ Correlated Groups

A

Repeated measures ANOVA

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Q

Quantitative IV

A

Trend analysis

*linear or nonlinear trends

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Q

Correlation:

Interval/ratio scale variables

A

Pearson r

Q

Correlation:

Rank-ordered scale variables

A

Spearman rho

*RhO for ‘R’ank ‘Ordered’

Q

Correlation:

True dichotomy variables

A

Phi

Q

Correlation:

Artificial dichotomy variables

A

Tetrachoric

Q

Correlation:

Nominal scale variables

A

Contingency

Q

Correlation:

Interval/ratio variable
True dichotomy variable

A

Point Biserial

Q

Correlation:

Artificial dichotomy variable
Interval/ratio variable

A

Biserial

Q

Correlation:

Interval/ratio variables
Nonlinear relationship

A

Eta

Q

1+ IV’s

2+ dv’s

A

MANOVA

“MULTIvariate” (2+ dv’s)

Q

Non-Parametric Alternative for:

t-test for independent samples

A

Mann-Whitney

Q

Non-Parametric Alternative for:

one-way ANOVA

A

Kruskal-Wallis

Q

Non-Parametric Alternative for:

t-test for correlated samples

A

Wilcoxon

Q

Research Design:

Single Group

DV is measured at regular intervals BEFORE and AFTER treatment only

A

Interrupted time series design

Q

Multiple Regression:

2+ X’s
1 Nominal Y
NONlinear relationships

A

Logistic regression

Q

Multiple Regression:

2+ X’s
1 nominal Y
Linear Relationships

A

Discriminant Function Analysis

*Accuracy measure = “hit rate”

Q

Multiple Regression:

2+ X’s
2+ Y’s

A

Canonical Correlation

Q

Two or more continuous or discrete predictors

one criterion

A

Multiple Regression

Q

Multiple Regression:

Two techniques used to place people into predefined groups

A

Discriminant Function analysis

Logistic Regression