Psychology 612 - Spring 2009

Welcome to the homepage for Psychology 612. Here you will find notes posted for the course, links to additional readings, and various tidbits you might find helpful while learning the course material. Remember that if you are prompted for a password, the user is “student” and the password is the statistic that is associated with student

Syllabus

You can download the latest edition of the syllabus here

Course Synopsis

PSYC 612 is the second course in a two-semester sequence that introduces graduate students to basic social science statistics. Throughout the academic year, you will learn the fundamental building blocks for all social sciences. Those building blocks include:

• research methods
• measurement
• statistics
• ethics

Lecture Notes and Readings

Module 1: Data Reduction

Lecture 1: Introduction/PCA

• Lecture Notes
• Required Reading: Field Chapter 15 and Dunteman (the entire book)
• Optional Reading (choose one):
  • PCA in clinical research
  • PCA applied to individual differences research
  • PCA used in biological psychology

Lecture 2: PCA

• Lecture Notes (see previous lecture notes as well)
• Required Reading: Field Chapter 15 and Dunteman
• Optional Reading (same as previous week)

Lecture 3: PCA/EFA

• Lecture Notes. Please refer to previous lecture notes as well.
• Required Reading: Kim and Mueller (the entire book)

Lecture 4: EFA

• Lecture Notes.

Module 2: Hypothesis Testing

Lecture 5: Non-parametric tests

• Lecture Notes
• Required Reading: Field Chapter 13
• Optional Reading (choose one):
  • TBA
• Useful additional reading:
  • Wikipedia entry
  • Statsoft Website
  • Useful SPSS tutorial
  • Applied Robust Statistics (ADVANCED BUT USEFUL)

Lecture 6: Introducing Mediation

• Lecture Notes very brief but good outline for notes
• Required Reading: Iacobucci (entire book)
• Optional Reading (choose one):
  • Mediation in I/O literature
  • Mediation in School Psychology
  • Mediation in Social/Clinical Psychology
• Useful additional reading:
  • David Kenny’s web site on mediation
  • Kristopher Preacher’s interactive website
  • Dave MacKinnon’s excellent Annual Review article
  • Dave MacKinnon’s forthcoming article in Current Directions in PS

Lecture 7: Mediation in practice

• Lecture Notes
• Required Reading: see above
• Optional Reading: see above
• Useful links:
  • Equity in Athletics Data
  • Equity in Athletics Information
  • Kristopher Preacher’s SPSS code

Lecture 8: Introducing Moderation

• Lecture Notes
• Required Reading:
  • Judd’s Psychological Methods article
  • Kraemer’s first article on mediation and moderation
  • Kraemer’s second article on mediation and moderation
  • Rosnow and Rosenthal’s classic article on interpreting moderated effects
• Optional Reading (choose one):
  • Moderation in clinical psychology
  • Moderation in I/O psychology
  • Moderation in biopsychology
  • Moderation in human factors
• Additional Optional Reading:
  • Kristopher Preacher’s excellent primer on interaction effects

Lecture 9: Moderation in Practice

• Lecture Notes
• Required Reading: see above
• Optional Reading: see above

Lecture 10: Multiple Comparisons

• Lecture Notes
• Required Reading: Klockars and Sax

Lecture 11: Multiple Comparisons in Practice

• Lecture Notes
• Optional Reading: NONE

Module 3: Data Management

Lecture 12: Missing Data Introduction

• Lecture Notes
• Additional Lecture Notes

Lecture 13: Missing Data in Practice

• Lecture Notes

Lecture 14: Exploratory Data Analysis (EDA)

• Lecture Notes

Lecture 15: EDA (cont.)

• Lecture Notes
• State SAT data used in class
• Optional Reading:
  • Table Presentation

Lectures 16 and 17: Data Management Wrap-up

• No new lecture notes this week
• Discussion this week to review and demonstrate Data Management module material

Important note for those who requested data

Please download the data you would like to use for the third module.

Sports

• Baseball data (winning)
• College football rankings
• College football scores
• Olympic bobsled data
• US Figure Skating Association data

Health and well-being

• Knee replacement outcome data
• Adolescent substance abuse treatment outcomes

Module 4: Extending the GLM and Misc. Material

Lecture 18 and 19: Introduction to the GLM

• Lecture Notes

Lectures 20 and 21: GLM and (logistic) regression

• Lecture Notes

Lecture X: Student requested topics

Lectures 22: SEM introduction and examples

• Lecture Notes

Lectures 23: Complicated model results (mediation/moderation)

Lecture 24: (Final Lecture) Latent measurement models (IRT and Rasch models)