Stats 2

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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