Data Analysis II

Psy 612

CRN 24322

Winter 2006

1000-1120 UH

227 Chiles

 

Instructor:    

Robert Mauro                            Office Hours:  UH 1300-1400 & by appointment                    

311 Straub

              346-4917                                        

              mauro@uoregon.edu     

                                

Teaching Assistants:    

Nathan Dieckmann                       Office Hours:  W 1230-1430

329 Straub

346-4963

ndieckma@darkwing.uoregon.edu

 

Adam Kramer                             Office Hours:  M 1400-1600

383 Straub

346-3936

adik@uoregon.edu

Laboratory                                       

180 Straub                                F 1000-1150

        

Texts:     Pedhazur, E. J. (1997).  Multiple Regression in Behavioral Research (3rd Ed.).  Harcourt Brace:  San Diego, CA.

              Howell, D. (2001).  Statistical Methods for Psychology, (5th Ed).  Wadsworth:  Belmont, CA.

              Class notes available on class web site darkwing.uoregon.edu/~mauro/psy612

 

Other Useful Books:

Analysis of Variance & Experimental Design

 

Hays, W. L. (1994).  Statistics (5th ed). Harcourt Brace College Publishers: Fort Worth.

Keppel, G. (1982).  Design and analysis : a researcher's handbook (2nd ed). Prentice-Hall: Englewood Cliffs, N.J.

Winer, B. J. (1971).  Statistical principles in experimental design (2d ed). McGraw-Hill:  New York.

Multiple Regression & Related Issues

 

Cohen, J. & Cohen, P. (1983).  Applied multiple regression/correlation analysis for the

                behavioral sciences. Lawrence Erlbaum Associates: Hillsdale, N.J.

Wonnacott, R. & Wonnacott, T. (1970).  Econometrics. J. Wiley:  New York.

Conducting Empirical Research

 

Abelson, R. (1995).  Statistics as Principled Argument.  Lawrence Erlbuam:  Hillsdale, N.J.

 

Class Requirements: 

Complete take-home midterm (35% of grade), final (50% of grade), and weekly homework assignments (15%) of grade (see guidelines).  Homework will be assigned and due each Thursday.  The laboratory section may have additional assignments.

Syllabus

 

Complex Analysis of Variance

 

1/12          Representation of Experimental Designs

 

1/17         

1/19          Factorial Analysis of Variance                          H 12 & 13

 

1/24          Multiple Comparisons

1/26          Random Factor Models & Quasi-F’s

 

1/31          Nested Designs

2/2           Repeated Measures and Randomized Blocks         H 14

 

2/7

Multiple Linear Regression

 

2/9           Linear Regression                                      P 1-4

MIDTERM OUT

 

2/14          Multiple Linear Regression Basics                     P 5-6

2/16          Partitioning variance                                   P 7-10, 16

MIDTERM DUE IN CLASS

 

2/21          Regression with categorical variables                 P 11-12

2/23          Missing Data and Nonorthogonal Designs             P 13

 

2/28

3/2           Trend analysis

 

3/7           Interactions and Analysis of covariance              P 14-15; H 21

3/9           Heteroscedasticity

 

3/14          Autocorrelation

3/16          Repeated Measures ANCOVA                          P 17

              FINAL OUT

 

3/23          FINAL DUE 10:00 AM in R. Mauro’s Mailbox

 

P: Pedhazur text

H:  Howell text