First Week: Meet and Greet, Haack reading, Some of R&R Chapter 1.
For Thursday (Read Haack, C-1 of R & R recommended), come with "daily" questions and be ready to chat about the those and the notes. Note that assigned article readings typically are not for homework critique (I usually reserve that for articles you select).
Week of 9-1: Read the Rosnow and Rosenthal chapters. We'll get through their contents. To stay ahead, go ahead and being reading Howell. We'll pretty much be going chapter by chapter from here on out.
Week of 9-8: Finish up the topics in R&R, visit the Task Force recommendations, and start getting into Howell. Article critique due 9-11, so do not worry about the daily questions for that day. Also, note that the Wilkinson article which we will also discuss this week, is primarily assigned because you need to know that what they are describing is the bare minimum for scientific reporting in psychology. Lab: We still need a couple more volunteers to switch to Thursday, and particularly from the Wednesday lab. The Thursday lab meets from 6-7:50. Please email if you can do that one instead.
Week of 9-15: The exploration of data- Howell chapters 1-2 and Wright's article
Week of 9-22: More on initial data analysis.
Week of 9-29: Discussion of normal distribution and probability, moving towards sampling distributions and hypothesis testing. To stay on top of things, feel free to Cohen's 'Things' and start in on the Kline text. The Howell chapters are as above in the new section.
Week of 10-6: Sampling distributions and begin hypothesis testing. The content here specifically regards Howell C-4, the Cohen articles and Kline 1-3.
Week of 10-13: Continue sampling distributions and begin hypothesis testing. The content here specifically regards Howell C-4, the Cohen articles and Kline 1-3.
Week of 10-20: Midterm, One-sample tests, intro to covariance/correlation.
Week of 10-27: Correlation, Simple regression. Midterm corrections due Thursday. Requirements: for anything missed a statement on why you think you missed it as well what the correct answer is. In addition, I want a paragraph on what your strengths and weaknesses were/are at the midpoint of the semester, what you hope to accomplish in the next part and how. You will turn in the midterm back along with your corrections.
Week of 11-3: Continue with Regression basics and testing model adequacy.
Article critique due 11-20: Guide.
There is not a lot of time left for your "Meet with Mike".
Your final midterm score was posted to WebCT awhile back. As mentioned, you received credit for half of your items missed, then any extra credit was added to your final score out of 100.
Project clarification (based on questions I've received): you are to do 3 analyses, 1 simple regression, 1 independent samples t-test, 1 your choice. There can be some overlap among variables used in the analysis as long as they ask different research questions (e.g. use linear regression with continuous predictor and DV, t-test with a grouping variable and that same DV). Also I am willing to help with any R code, just post your question to the forum. If you are planning to use some advanced approach in R (e.g. bootstrap), we can set up an appointment.
Week of 11-10: Finishing up simple regression, t-test review, begin with effect sizes
Week of 11-17: Continued discussion of effect size and power. Moving on to equivalence testing. Article critique due 11-20: Guide.
Week of 11-24: Equivalence testing and thinking about a meaningful effect before analysis. Your projects are due the Friday before Finals week at noon in the box of your lab instructor but will be accepted earlier. If you do not hand it to her in person, email her notifying that you dropped it off.