Statistics: Name That Test! Flashcards
Nominal Data
1 Variable
Single-sample Chi-Square Test
Nominal Data
2+ Variables
Multiple-sample Chi-Square Test
Ordinal Data
2 Independent Groups
Mann-Whitney U Test
Ordinal Data
2 Correlated Groups
Wilcoxon Matched-Pairs Test
Ordinal Data
2+ Independent Groups
Kruskal-Wallis Test
Single Sample
single sample t-test
group v population
2 Independent Groups
t-test for independent samples
2 Correlated Groups
t-test for correlated samples
1 IV
2+ Independent Groups
one-way ANOVA
2+ IV’s
Independent Groups
factorial ANOVA
aka two-way, three-way
Including Extraneous Variable as IV
Randomized block ANOVA
Removing Extraneous Variance
ANCOVA
[analysis of covariance]
Independent and Correlated Groups
mixed [split-plot] ANOVA
2+ Correlated Groups
Repeated measures ANOVA
Quantitative IV
Trend analysis
*linear or nonlinear trends
Correlation:
Interval/ratio scale variables
Pearson r
Correlation:
Rank-ordered scale variables
Spearman rho
*RhO for ‘R’ank ‘Ordered’
Correlation:
True dichotomy variables
Phi
Correlation:
Artificial dichotomy variables
Tetrachoric
Correlation:
Nominal scale variables
Contingency
Correlation:
Interval/ratio variable
True dichotomy variable
Point Biserial
Correlation:
Artificial dichotomy variable
Interval/ratio variable
Biserial
Correlation:
Interval/ratio variables
Nonlinear relationship
Eta
1+ IV’s
2+ dv’s
MANOVA
“MULTIvariate” (2+ dv’s)
Non-Parametric Alternative for:
t-test for independent samples
Mann-Whitney
Non-Parametric Alternative for:
one-way ANOVA
Kruskal-Wallis
Non-Parametric Alternative for:
t-test for correlated samples
Wilcoxon
Research Design:
Single Group
DV is measured at regular intervals BEFORE and AFTER treatment only
Interrupted time series design
Multiple Regression:
2+ X’s
1 Nominal Y
NONlinear relationships
Logistic regression
Multiple Regression:
2+ X’s
1 nominal Y
Linear Relationships
Discriminant Function Analysis
*Accuracy measure = “hit rate”
Multiple Regression:
2+ X’s
2+ Y’s
Canonical Correlation
Two or more continuous or discrete predictors
one criterion
Multiple Regression
Multiple Regression:
Two techniques used to place people into predefined groups
Discriminant Function analysis
Logistic Regression
