Exam Two Study Guide
What you need to know:
Be familiar with the Terminology for:

Research Designs, and threats to validity.

Factorial ANOVA: main effect, marginal
mean, cell mean.

posthoc tests;

Correlation (correlation coefficient, scattergram,
Pearson r, explained variance)

Regression (predictor criterion, regression
equation, regression line, least squares criterion);

ttest for single, independent, and correlated
samples;

Multiple correlation and regression (multiple
correlation, multicolinearity)

Partial correlation (zeroorder, supressor
variable)

Parametric and nonparametric tests, homogeneity
of variance;
Know the Definitions of:

Type I and II error; alpha, beta, sampling
error, power.

chisquare; MannWhitney U; Wilcoxon, KruskalWallis;
Be able to Calculate Formulas for:

Explained variation from correlation coefficient;

Multiple R from simple correlations.
Be able to Identify:

IV and DV, levels;

Threats to internal validity (history,
maturation...);

Strategies for controlling these threats
(random assignment, etc.);

Types of research and their defining characteristics
(true experimental, quasiexperimental, longitudinal, crosssectional,
crosssequential, reversal, time series, multiple baseline, etc.);

Designs for withinsubject, matchedsubject,
quasiexperimental, naturalistic, & Nof1 research.

Elements of regression summary table; predictor
and criterion variables;

Path analysis; factor analysis (factor
loadings, communalities; eigenvalues, rotation)