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.
-
post-hoc tests;
-
Correlation (correlation coefficient, scattergram,
Pearson r, explained variance)
-
Regression (predictor criterion, regression
equation, regression line, least squares criterion);
-
t-test for single, independent, and correlated
samples;
-
Multiple correlation and regression (multiple
correlation, multi-colinearity)
-
Partial correlation (zero-order, supressor
variable)
-
Parametric and non-parametric tests, homogeneity
of variance;
Know the Definitions of:
-
Type I and II error; alpha, beta, sampling
error, power.
-
chi-square; Mann-Whitney U; Wilcoxon, Kruskal-Wallis;
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, quasi-experimental, longitudinal, cross-sectional,
cross-sequential, reversal, time series, multiple baseline, etc.);
-
Designs for within-subject, matched-subject,
quasi-experimental, naturalistic, & N-of-1 research.
-
Elements of regression summary table; predictor
and criterion variables;
-
Path analysis; factor analysis (factor
loadings, communalities; eigenvalues, rotation)