Psychology Statistics 6430
Dr. John G. Cope
Spring, 2002
Office:110 Rawl
Office Hours: 8:00 to 9:00 a.m. M-F and by appointment
Text:Howell, D. C. (1996). Statistical methods for psychology. 5th Ed.
Belmont, CA: Duxbury Press.
Optional Texts:George, D., and Mallery, P. (2001). SPSS for Windows: Step by
Step. Boston, MA: Allyn and Bacon.
Meeting Times:Class will meet from 12:30 to 1:45 T, & Th, in Rawl 205, and
Lab will be held from 2:00 to 3:00 Th, in Rawl 205
Related Internet Sites:
Course Objectives:
This course will concentrate on providing the fundamentals necessary to understand and apply various descriptive and inferential statistical methods.
Although this course is intended for students at the intermediate level, it is also intended to serve as a first course in the statistical sequence for Psychology graduate students, hence theoretical coverage will be less pronounced than emphasis on computational techniques and use of the computer.
Course Requirements:
The course will be based on two and a half hours of classroom instruction and will include a one hour lab (which will be treated the same as class time in regards to class format). Grades will be determined on the basis of four exams (each counting for 25% of the total requirements). In addition there will be a mandatory homework module assigned for each unit of material. Although there will be no comprehensive final, the fourth exam will be given during the regularly scheduled exam period (11:00-1:00 Tuesday, May 7, 2002.
The level of instruction assumes that the student has a working background in algebra (at the undergraduate level) and has acquired rudimentary computer skills (i.e., familiarity with the Windows operating environment and basic PC-based software). A calculator is required and access to a computer is strongly advised.
Class Format:
All material will be presented in an interactive format that will require class participation and problem solving. Lecture and Lab time will be used to cover basic theories, provide time for practical examples for each of the concepts under consideration, and provide access to the computer lab.
ECU Information:
In the event of a weather emergency, information about ECU can be accessed through the following sources:
ECU emergency notices
ECU emergency information hotline: 252-328-0062
East Carolina University seeks to fully comply with the Americans with Disabilities Act (ADA). Students requesting accommodations based on a covered disability must go to the Department for Disability Support Services, located in Brewster A-114, to verify the disability before any accommodations can occur.
The telephone number 252-328-6799.
Syllabus
UnitTopic AreaChapter
1.Introduction01
Descriptive vs. Inferential
Scales of Measurement
Experimental Design
2.Data Exploration02
Graphs
Percentile Ranks
Linear Transformations
Using Computers
3.Measures of Central Tendency & Variability02
Means, Medians, and Modes
Standard Deviation, and etc.
4.Normal Distribution and Z-Scores03
Z Formulas
Properties of the Standard Normal Curve
Test 1: Chapters 1, 2, & 3 (January 31, 2002)
5.Probability05
Simple
Additive & Multiplicative Law
Permutations & Combinations
Binomial Distribution
6.Sampling Distributions and Hypothesis Testing04
Z Score Test
Type I/II Errors
7.Hypothesis Tests Applied to Means07
Z Test
Simple t Test
Independent t
Dependent t
Confidence Boundaries
8.Power Analysis08
Factors Affecting Power of a Test
One Sample t
Independent t
Dependent t
Test 2: Chapters 4, 5, 7, & 8 (March 7th, 2002)
9.ANOVA: Simple ANOVA 11
Introduction & Model
Assumptions/Violation of Assumptions
Calculations/Summary Table
Power
Multiple Comparisons12
Familywise (Experimentwise) Error Rate
A Priori Comparisons
Post Hoc Comparisons
10.ANOVA: Factorial Designs 13
Model
Calculations
Interactions
Multiple Comparisons
Power
Repeated and Mixed Designs14
Test 3: Chapters 11, 12, 13, & 14 (April 4th, 2002)
11.Correlation and Simple Regression09
Pearson Formulas
Standard Error of the Estimate, r2, & Significance Testing
Regression
Alternative Correlational Techniques (optional)10
12.Multiple Regression15
13.Analysis of Covariance16
14.Categorical Data Analysis: 206
Goodness of Fit
Contingency Table Analysis
Nonparametrics and Distribution-Free Tests (optional)18
Test 4: 6, 9, 15, & 16 (May 7th, 2002)