Psyc450 Exam 1 Lecture Files

 

 

Lecture Topic

 

2-group Designs & Analyses

A “Collection of Concerns”
Multivariate Designs

Stats & Decisions Review

Decision Outcomes
H0: & RH:
Errors vs Disappointments

p-values & Effect sizes

 

Psychometrics & Measurement Validity

Introduction
Kinds of Things we Measure
Properties & Kinds of Reliability
Kinds of Validity

Population Norms
Reverse keying

 

 

Validity & Design Review

Hypotheses & Validity
Designs
Internal validity

k-group Designs

2-group vs. k-group Designs

Kinds of Design Conditions

Kinds of Causal RH:

Examples of Causal RH: Types

Pairwise Comparisons

Omnibus-F & Pairwise Comparisons

Pairwise Examples

Alpha Inflation & Correction

Post Hoc Pairwise Comparisons

Comparing Pairwise Comparisons

LSD/HSD Computator

Applying Bonferroni Correction

Experiment-wise Error

Effect Sizes for Pairwise Comparisons

 

Analytic & Trend Analyses

Simple & Complex Analytic Comparisons

Trend Analyses

How to Mess Up Analytic Comparisons

Orthogonal Analytic Comparisons

Effect Sizes for Analytic & Trend Analyses

 

2x2 Factorial Designs

Factorial Designs

Means & Effects

Basic Data Patterns

Main Effects

2x2 ANOVA – Intro

2x2 ANOVA – Details

Effect Sizes

 

Factorial Hypothesis Testing

Interaction RH:

Causal Interpretation

Inspecting a Table

Inspecting a Line Graph

Inspecting a Bar Graph

Choosing Displays

 

Programmatic Research

3 Applications of the Research Loop

Adding a Treatment

Correcting by Complexity

Generalization

Length of Treatment

Evaluating Initial Equivalence

Identifying the Replication