EPSY 641 EXPERIMENTAL DESIGN IN EDUCATION II Syllabus,

SPRING 2007

 

Victor L. Willson, Professor                                       Office: W 3-5, TR 11-12, 2:30-3:30, by appt

 

704 Harrington 845-1808 /fax: 862-1256                    email:v-willson@tamu.edu

 

Texts:   Glass, G V. & Hopkins, D. D. (1996). Statistical Methods in Education and Psychology. Boston: Allyn & Bacon.

            Cohen, J., Cohen, P.,West, S., & Aiken, L. (2003). Applied Multiple Regression/ Correlation Analysis for the Behavioral Sciences. Mahwah, NJ: Erlbaum.

           

Students with Special Needs

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Date                    Topic                                               Reading       Assignment                    due

 

JAN 17            Review of Correlation                           CC: 1, 2, GH 4

         24           Review of Multiple Regression              CC: 3, GH 8

         31           Curves and Transformations                  CC: 6                          

                        Continuous Interactions             CC:  7             

FEB 14            Two group designs                               GH 12,

         21            One factor designs                               GH 15, CC:  8                                     A1 due

         28           Contrasts: planned and follow-up          GH 17       

MAR  7           Factorial designs                                   GH. 18, CC: 9                                     A2 due

MAR 21          Mixed Models- GLM                           GH: 19

          28          Repeated Measures                              GH: 20

APR    4           ANCOVA/ATI                                    GH: 21, CC: 9 (p. 375-)                       A3 due

APR  11           Outliers and Multicollinearity                 CC: 10

               Missing data/ NORM                           CC: 11

               Causal modeling                                   CC: 12                                                 A4 due

 18          Intro to logistic regression                     CC: 13

               Hierarchical Linear Models                   CC: 14                                                 A5 due

          25          Multivariate techniques             CC: 16                                                 A6 due

MAY   2          Review                                                                                     A7 due MAY 9

 

FINAL EXAM: individual oral and demonstration examination scheduled MAY 4-9 2 hrs.

 

Grades: Weights: Projects 50%, Midterm 15%, Final 35%. You must pass the final with a 70% to pass the course. Grades:  70-80=C, 81-90=B, 91-100=A


 

Projects - All submissions must be in APA format and will not be accepted in nonstandard format unless you have been given permission to use another style. Papers generally conforming but with errors will receive reduced scores.

 

A1:  Conduct a Hierarchical multiple regression analysis using at least two sets of variables (in two blocks) using the Regression procedure in SPSS from the BASC or your own data per CC (pp. 162-179). Write up in APA format as a Results section.

 

A2: Conduct a multiple regression with two continuous predictors and the interaction between them; center the data as CC describe in Ch. 7; write a Results section in APA format.

 

A3:  Conduct a 2 or 3 factor crossed ANOVA using TEA, BASC data or your own. Write up an APA Results section. Use planned or post hoc contrasts as appropriate. Examine interactions and test either sub-interactions or simple main effects. Specify fixed, random, or mixed effects and indicate appropriate error terms on any tables for mixed or random effects models. Include graphical plots of the interaction(s), significant or not.

 

A4: Conduct an ATI analysis of BASC data or your own. Write up a Results section in APA style.

 

A5:  Use NORM to impute missing data in a BASC sample of 500 cases and conduct a multiple regression with at least 3 predictors. Compare the results to the full BASC sample analysis.

 

A6:  Use AMOS to conduct an SEM analysis for either a latent variable or manifest variable path model with at least one indirect path; evaluate the model using modification indices (use complete data, impute with NORM if necessary) and parameter estimate significance critical ratios to modify your model to reach Hu and Bentler criteria for adequate model fit (if possible). Write up results in APA format, include figures with your initial and final models with standardized coefficients included (use AMOS output).

 

   A7:  Conduct a MANOVA and follow-up discriminant analysis with at least 3 groups and 4 dependent variables. Be sure to interpret standardized discriminant functions. Write a Results section for the analysis.

 

 

Note: The handouts and web-based files used in this course are copyrighted. By “handouts” I mean all materials generated for this class, which includes but is not limited to syllabi, quizzes, exams, lab problems, in-class materials, review sheets, and additional problem sets, in paper or electronic form. Because these materials are copyrighted, you do not have the right to copy the handouts unless I expressly grant permission.

   As commonly defined, plagiarism consists of passing off as one’s own ideas, words, writings, etc. which belong to another. In accordance with this definition, you are committing plagiarism if you copy the work of another person and turn it in as your own, even if you should have the permission of that person. Plagiarism is one of the worst academic sins, for the plagiarist destroys the trust among colleagues, without which research cannot be safely communicated.

   If you have any questions regarding plagiarism, please consult the latest issue of the Texas A&M University Student Rules, under the section “Scholastic Dishonesty”