(PSY 766) GRADUATE STATISTICS

syllabus    assignments   grades   SPSS Primer

REQUIRED

Text: Gravetter, F.J. & Wallnau, L. B.(2006) Statistics for the Behavioral Sciences 7th Ed Wadsworth Publishing, Belmont, CA

Mertler, C. A. & Vannatta, R.A. (2001) Advanced and Multivariate Statistical Methods, Pyrczak Publishing, Los Angeles, CA

Sweeney, D. C. (2005)  Study Guide: Concepts and Conclusions: A Brief Introduction to Univariate and Multivariate Statistics for Graduate Students in Psychology (On line)

RESERVE: 

Kachigan, S. K. (1991) Multivariate Statistical Analysis: A Conceptual Introduction 2nd Radius Press: New York

Grimm, L.G. & Yarnold, P. R. (1995) Reading and Understanding Multivariate Statistics, American Psychological Association, Washington, DC

Witte, R & Witte, J. Statistics, 5th Ed.

SYLLABUS

EXPECTATIONS

Content

This course is designed to acquaint students with the interpretation of basic inferential and multivariate statistics.

Materials

The course consists of reading, lectures, demonstrations, written assignments, and discussion. It is your responsibility to keep current on these materials.

Attendance

I do not take attendance in graduate classes. If you miss a class I assume that you will learn the material.

Assignments

There will be numerous homework assignments. These will be graded; it is expected that they be turned in on the day due. I will relent only in cases of extreme hardship such as plague, pestilence, famine, or other university approved excuse.

Honesty

Cases of cheating or plagiarism will result in no credit (0) for the assignment or test and an overall failing grade for the course.

Participation

 Frequent participation in class discussions will assure me that your are awake, alert, involved, and are familiar with the material.  I will take participation into account when grading borderline cases.

Quizzes

There will be frequent quizzes. The topics and relevant reading are shown in the syllabus. In computing your overall grade I will drop your lowest quiz score.  The quizzes will be based on materials in the study guide, lecture notes, and the assigned readings.

Make Ups

Your first missed quiz will count as your lowest grade and will be dropped.  You may make-up any subsequent test, quiz, homework assignment, or paper, but you will loose one point per day for makeups unless you have a University-approved excuse justifying the delay.  Make-ups must be completed the week you return to class.

Final Exam

There is NO FINAL EXAMINATION in this course.  A FINAL QUIZ will be given the last day of class.

Grade Scale

Grades will be calculated on the following scale:
A 90% and above     B 80 - 89%        F less than 80%

Office Hours

Hours I will be available to discuss the course, the weather, or any topic of mutual interest at the hours posted above. If these are not convenient, please see me to make an appointment at another time.

Extra Credit 

None

Special Needs

If you have special learning needs, please let me know. Students requiring special considerations should get in touch with the Office of Services for Students with Disabilities. This office will notify me in writing of the accommodations you need in compliance with 504/ADA. If you have special learning needs, please let me know.

ASSIGNMENTS

TOPIC ASSIGNMENT
Introduction

Course overview
Numbers and rounding

 
What statistics is.pdf

Variables
Descriptive statistics
Inferential statistics
Populations and samples
Measurement scales
Statistical Notation

Study Guide

Gravetter & Wallnau, Chapter 1
Mertler & Vannatta Chapter 1

Kachigan, Chapter 1, pps 1-21

 

 

Descriptive Statistics

Frequency Distributions.pdf
Central Tendency.pdf
Variability.pdf

Study Guide

Gravetter & Wallnau, Chapter 2-4

Kachigan, Chapter 1, pps 21-53

QUIZ #1
SPSS Homework #1

 

Standard Scores.pdf

Study Guide

Gravetter & Wallnau, Chapters 5 & 6

QUIZ #2

Answers to z-score problems
 

Introduction to Inferential Statistics.pdf

Probability
Parameter Estimation
Z-test
Hypothesis Testing.pdf
Errors

Study Guide

Gravetter & Wallnau, Chapter 7 & 8

Kachigan, Chapter. 2

QUIZ #3

Comparing Means, the Z-test

Comparing Means, t-tests.pdf

Single Sample t-test
Independent Samples t-test
Repeated Measures t-test
Effect Size

Study Guide, Z-test

Study Guide, t-test

Gravetter & Wallnau, Chapter 9-11

Kachigan, Chapter 1

QUIZ #4

QUIZ #5
SPSS Homework #2

Answers to z-test problems

Answers to t-test problems  

Analysis of Variance (ANOVA).pdf

Introduction
One-way ANOVA
Repeated Measures ANOVA
Factorial ANOVA

Study Guide

Gravetter & Wallnau, Chapter 13-15
Mertler & Vannatta , Chapter 4

Kachigan, Chapter 5

Study Guide Answers

Analysis of Covariance (ANCOVA).pdf

Overview

Mertler & Vannatta , Chapter 5

QUIZ #6
SPSS Homework #3

 

Multivariate Analysis of Means (MANOVA).pdf

Introduction
Multivariate Analysis of Variance (MANOVA)
Multivariate Analysis of Covariance (MANCOVA)

Study Guide

Mertler & Vannatta , Chapter 6

Kachigan, Chapter 6
Grimm & Yarnold, Chapter 8

 QUIZ #7
SPSS Homework #4

Correlation and Regression.pdf

Bivariate Correlation
Regression

Study guide

Gravetter & Wallnau, Chapter. 16

Kachigan, Chapter 3 pps 117-142

Study Guide answers
SPSS Homework #5

Multivariate Correlation.pdf

Multiple Regression

 

Study Guide

Mertler & Vannatta , Chapter 7

Kachigan, Chapter 3 pps 142-155 & 4
Grimm & Yarnold, Chapter 2

QUIZ #8
Study Guide Answers
SPSS Homework #6

 

Factor Analysis.pdf

Introduction
Types

Study Guide

Mertler & Vannatta , Chapter 9
Kachigan, Chapter 7

Grimm & Yarnold, Chapter 4

QUIZ #9
SPSS Homework #7
 

Non-Parametric Statistics.pdf

Spearman Rank Order
Point Biserial
Phi Coefficient
Chi Square

Study Guide

Gravetter & Wallnau, Chapter 16, pps 545-555, Chapter 17

QUIZ #10
SPSS Homework #8