PSYC 200W Study Guide - Midterm Guide: Repeated Measures Design, Factorial Experiment, Multivariate Analysis Of Variance
28 Jun 2018
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Exam 3 Review
***Know the listed concepts. Be able to define, apply, and provide examples of them. ***
Chapter 9
3 properties of an experiment
Types of IVs (quantitative vs. qualitative; environmental, instructional, invasive)
IV “checks” (pilot test, manipulation check)
Dependent variable
Subject variable
Condition Assignment (procedures, advantages, disadvantages)
o Simple random assignment
o Matched random assignment (have a GENERAL sense of what this is – we didn’t discuss it in
class!)
o Repeated measures
Order Effects (types, strategies for checking for/minimizing them)
Treatment Variance vs. Confound Variance vs. Error Variance
Potential confounds/threats to internal validity
Double-blind procedure
Placebo control group
Internal vs. External validity (experimenter’s dilemma)
Chapter 10
One-way design vs. Factorial design
Posttest-only design
Pretest-posttest design (advantages and disadvantages)
Factorial design
o factorial “nomenclature” (___ x ___)
o # IVs
o # levels per IV
o # conditions
Mixed factorial design
Main effects
Interactions
Higher order designs (examples, issues)
Expericorr designs (have a general sense of what this term means!)
2 X 2 activity (“eye-balling” main effects and interactions)
Chapter 12
Problems associated with running multiple t-tests
Bonferroni Adjustment
(One-way) ANOVA
o omnibus F-test (purpose, F-ratio, significance)
o effect size (purpose, eta2, Cohen’s d – book covers effect size in Ch. 11 – pp.192 & 193!)
o post hoc analyses (purpose, common tests, when appropriate)
Factorial Designs
o Interactions
o Simple main effects
ANOVA variations: Repeated measures ANOVA, Mixed factorial ANOVA, MANOVA, ANCOVA
Document Summary
Be able to define, apply, and provide examples of them. Types of ivs (quantitative vs. qualitative; environmental, instructional, invasive) Condition assignment (procedures, advantages, disadvantages: simple random assignment, matched random assignment (have a general sense of what this is we didn"t discuss it in class!, repeated measures. Order effects (types, strategies for checking for/minimizing them) Treatment variance vs. confound variance vs. error variance. Factorial design: factorial nomenclature (___ x ___, # ivs, # levels per iv, # conditions. Expericorr designs (have a general sense of what this term means!) 2 x 2 activity ( eye-balling main effects and interactions) (one-way) anova: omnibus f-test (purpose, f-ratio, significance, effect size (purpose, eta2, cohen"s d book covers effect size in ch. 11 pp. 192 & 193!: post hoc analyses (purpose, common tests, when appropriate) Factorial designs: interactions, simple main effects. Anova variations: repeated measures anova, mixed factorial anova, manova, ancova. Be sure to read chapters 9, 10, and 12.
