The class website: www.lsa.umich.edu/psych/courses/psyc613
"Go on, Mr. Pratt," says Mrs. Sampson. "Them ideas is so original and soothing. I think statistics are just as lovely as they can be."
O. Henry, The Handbook of Hymen
The goal of science as science is not prediction and control but understanding. Prediction is merely the test of understanding and control the practical reward. (Macleod, 1947, p. 209)The purpose of statistics in psychological research is typically misunderstood. Researchers sometimes judge an experiment by the p-value alone. A p-value, important in getting past a journal editor, is not the primary goal of an experiment. Data analysis is an exploratory process where the end product is a description of what happened in the experiment or study. In this course we will learn simple procedures to uncover what the "data are telling us" and techniques to test research hypotheses. The bottom line: understanding comes from how you describe your data-the p-value merely serves to punctuate a sentence. I believe statistical training should continue throughout one's research career-a two semester graduate sequence is merely the beginning. I teach from the perspective of the general linear model. This provides a broad framework from which the more advanced techniques become simple extensions. Thus, we will work hard to setup the proper foundation in this course.
Designing Experiments and Analyzing Data by Maxwell and DelaneyThe book by Maxwell and Delaney (MD) is a survey of ANOVA designs; the book by Neter, Wasserman and Kutner (NKNW) is a survey of regression, ANOVA, and the connection between the two. Both are excellent reference books. However, I'm am willing to let students use other books as well (such as Keppel, Kirk, Hays, etc.). Feel free to consult with me. For purposes of standardization, I will key my lecture notes to relevant chapters in the MD and NKNW books, and use their notation. I have also ordered a few other books, all of which are optional. The optional books I ordered include: the SPSS manual, the APA publication guide for learning how to write results sections, and some additional books dealing with advanced topics. As the term progresses, some or all of these books may become appealing to you. My lecture notes will be available as a course pack at the beginning of the term. These lecture notes consist of about 500 single-spaced pages of conceptual motivation, examples, intuitions, graphs, and annotated output. Texts for Psych 614 will be reviewed next semester.
Applied Linear Statistical Models by Neter, Kutner, Nachtsheim, & Wasserman
The class website: http://www.lsa.umich.edu/psych/courses/psyc613
Topics | Readings | |
I. | Quick Review of Concepts from Introductory Statistics | |
-central tendency, variability, hypothesis testing, | ||
t tests, etc. | MD chs 1/2; NKNW ch 1/app | |
II. | Comparing Groups on One Factor | |
-one way ANOVA (fixed & random); | MD ch 3 | |
examining assumptions | ||
-multiple comparisons | MD chs 4, 5, & 6 | |
III. | Comparing Groups on Multiple Factors | |
-randomized block designs | ||
-latin square designs | ||
-factorial designs, k-way ANOVA | MD chs 7 & 8 | |
IV. | Advanced ANOVA Designs | |
-random & nested effects | MD ch 10 | |
-repeated measures | MD chs 11, 12, 13 & 14 | |
V. | Correlation and Regression | |
-straight-line regression and transformations | NKNW chs 2, 3, & 5 | |
-examining residuals and diagnostics | NKNW ch 4 | |
VI. | General Linear Model | |
-multiple regression | NKNW chs 6, 7 & 8 | |
-reformulation of ANOVA | NKNW chs 10 & 14 | |
-polynomial regression | NKNW ch 9 | |
-analysis of covariance | NKNW ch 23; MD ch 9 | |
-time series analyses | NKNW ch 13 | |
VII. | Analysis of Categorical Data | |
-binomial and contingency tables | handout | |
-logistic regression | NKNW ch 10 |