Psychology 611 - FALL 2010

Welcome to the homepage for Psychology 611. 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.

Archives

If you are interested in previous years notes, datasets, and optional readings, you can find all of these details on the following links:

Fall 2006
Fall 2010

Syllabus

You can download the latest edition of the syllabus here Updated Version as of 9/6/11

Course Synopsis

PSYC 611 is the first 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

PSYC 611 Lab

The lab has a different website than the lecture. Please visit this website for more information.

Important notes about this page

1. A  Δ indicates a dead link; wait and I will post something shortly
2. My notes and optional articles get posted when they come available
3. I intend to use this as the first line of communication for all things related to this course; please check it often (i.e., more than weekly)
4. If you find an interesting link relevant to the course material, please send it to me so I can post it here

Module Calendar

Go here to view but not edit

Lecture Notes and Readings

Module 1: Introductory Data Analysis

Lecture 1: Introduction

• Lecture Notes
• Required Reading: syllabus
• Optional Readings:
  • Platt’s Strong Inference
  • Chamberlin’s Method of Multiple Working Hypotheses

Lecture 2: Introductory Data Analysis

• Lecture Notes
• Useful outside reading
• Required Reading: Bruning & Kintz - Part 1
• Optional Reading:
  • Borgatta and Bohrnstedt (1980)

Lecture 3: Introductory Data Analysis (cont.)

• Lecture Notes
• Required Reading: StatSoft Chapter 1 and Chapter 2
• Useful sampling distribution webpage I highly recommend you look at it and become familiar with it before doing your first module.

Module 2: Scale Development and Hypothesis Testing

Lecture 4: Scale Development

• Lecture Notes
• Required Reading: Carmines and Zeller - entire book
• Please be sure to complete the questionnaire today (9/20) and then again by Monday (9/26) of next week
• Optional Reading:
  • Campbell and Fiske - MTMM

Lecture 5: Scale Development

• Lecture Notes
• Required Reading: StatSoft Reliability Chapter
• Optional Reading:
  • Our very own Jose Cortina and his paper on Coefficient Alpha

Lecture 6: Hypothesis Testing

• Lecture Notes
• Required Reading: P-value book - entire book
• Optional Reading (choose one):
  • Paul Meehl’s article on NHST
  • Science News article on NHST

Lecture 7: Statistical Power

• Lecture will consist of demonstrations and Q&A session
• Required Reading: StatSoft Statistical Power
• Relevant Links:
  • Online power calculators
  • G*Power - A great power analysis program for Windows and Mac OSX
• Optional Reading:
  • Cohen - The earth is round (p < .05)

Module 3: Multiple Regression and Correlation (MRC) and Analysis of Variance (ANOVA)

Lecture 8: GLM Introduction and MRC

• Lecture Notes
• Required Reading: StatSoft General Linear Model

Lecture 9: MRC

• Lecture Notes
• Required Reading: Lewis-Beck - entire book
• Optional Reading (both):
  • Correlation
  • more Correlation

Lecture 10: MRC (cont.)

• Lecture Notes
• Required Reading: StatSoft Multiple Regression
• Additional Readings:
  • More Multicollineary Reading
  • Additional regression diagnostics notes

Lecture 11: MRC diagnostics

• Lecture Notes
• Required Reading: Fox - entire book

Lecture 12: ANOVA Introduction

• Lecture Notes
• Required Reading: Iversen - entire book
• Optional Reading:
  • An interesting Monte Carlo study on ANOVA
  • A brief but wonderful perspective on NHST

Lecture 13: ANOVA Factorial Designs

• Lecture Notes
• Required Reading: Rosnow and Rosenthal (1989)
• Optional Reading:
  • F distribution and hypothesis testing
  • An article about the APA Publication Manual (5th Ed.)

Lecture 14: ANOVA Review and Module Demonstration

• No Lecture Notes - just demonstration of Module 4
• Required Reading: StatSoft ANOVA
• Optional Reading:
  • Overparameterized ANOVA model paper
  • An article that might appeal to HFAC students