Review

Major Concepts

χ2 Goodness of fit test

χ2 Test of homogeneity/independence

Measures of Association

w

Nonparametric statistics

MSbewteen

MSwithin

Active v. Assigned

Qualitative v. Quantitative

Fixed v. Random

Between-subjects v. Within-subjects

Crossed v. Nested

Extraneous variable

Confounding variable

Control (physical, selective, statistical)

SStotal = SSbetween + SSwithin

Xij = μ +αj + ∈ij

ANOVA Summary Table

VIN

B&B

Levene’s Test

Comparisonwise (Hypothesiswise) Error Rate

Experimentwise (Familywise) Error Rate

Per Experiment (Per Family) Error Rate

Multiple Comparisons (logic)

Fisher’s LSD

Tukey’s HSD

Dunn (Bonferroni)

Dunnett

Scheffé

Holm

Hochberg

f

Main effect

Interaction

It depends

Xirc = μ + αr + βc + ∈irc

Balanced v. Unbalanced

Hierarchical (Type I)

Classical experimental design (Type II)

Full Regression / Unweighted means (Type Ill)

God loves .06 nearly as much as .05

Sphericity

Huynh-Fedlt/Geisser-Greenhouse

Regressor

Criterion Variable

Regression weight/coefficient/slope

Y intercept

Midterm Quiz

Predicted value

Residual

SStotal = SSregression + SSresidual

Coefficient of Determination/Alienation

Standardized regression weight

Partial regression weight

Partial correlation

Semi-partial correlation

Zero-order correlation

Spurious correlation

Supressor variable

Prediction v. Explanation

Forward/Backward/Stepwise (problems)

Maximize R2 with a minimum of predictors

Shrinkage

Ezekiel

Browne

Crossvalidation

f 2

Noncentrality parameter (λ)

Causality

Path diagram

Exogenous/Endogenous variables

Path coefficient

Direct, Indirect, and Total Effects

Residual path

Specification error

Measurement error

Multicollinearity

Tolerance

Leverage

Studentized residual

DFITS

DFBETAS

Nonlinearity

Nonadditivity

Dummy coding

Effect coding

Covariate

Adjusted mean

Homogeneity of Regression

Equivalent v. Nonequivalent Groups

Caveats

Odds

Odds ratio

Log-odds

Pseudo-R2