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:
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
- A Δ indicates a dead link; wait and I will post something shortly
- My notes and optional articles get posted when they come available
- 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)
- If you find an interesting link relevant to the course material, please send it to me so I can post it here
Module Calendar
Lecture Notes and Readings
Module 1: Introductory Data Analysis
Lecture 1: Introduction
- Lecture Notes
- Required Reading: syllabus
- Optional Readings:
Lecture 2: Introductory Data Analysis
- Lecture Notes
- Useful outside reading
- Required Reading: Bruning & Kintz - Part 1
- Optional Reading:
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:
Lecture 5: Scale Development
- Lecture Notes
- Required Reading: StatSoft Reliability Chapter
- Optional Reading:
Lecture 6: Hypothesis Testing
- Lecture Notes
- Required Reading: P-value book - entire book
- Optional Reading (choose one):
Lecture 7: Statistical Power
- Lecture will consist of demonstrations and Q&A session
- Required Reading: StatSoft Statistical Power
- Relevant Links:
- Optional Reading:
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):
Lecture 10: MRC (cont.)
- Lecture Notes
- Required Reading: StatSoft Multiple Regression
- Additional Readings:
Lecture 11: MRC diagnostics
- Lecture Notes
- Required Reading: Fox - entire book
Lecture 12: ANOVA Introduction
- Lecture Notes
- Required Reading: Iversen - entire book
- Optional Reading:
Lecture 13: ANOVA Factorial Designs
- Lecture Notes
- Required Reading: Rosnow and Rosenthal (1989)
- Optional Reading:
Lecture 14: ANOVA Review and Module Demonstration
- No Lecture Notes - just demonstration of Module 4
- Required Reading: StatSoft ANOVA
- Optional Reading:
