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Univariate GLM. Accompanies a graduate statistics course at the University of Victoria

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Shadish James Spector Dalgaard Deshea R Cookbook
Maxwell & Delaney Gelman & Hill Venables Verzani Everitt Murrell
ToC

A graduate course (PSYC 532 - Introduction to Statistical Modeling for Social Sciences) taught by Dr.Andriy V. Koval at the University of Victoria in the Fall of 2015.

When Where Semester Dates Email Office Hours Phone
Monday, Thursday 11:30 - 13:00 HSD A150 Winter 2015 Sep 10 - Dec 10 andkov at uvic dot ca Cornett B335g By appointment 472-4864
Date Theory Read Due Practice
10 Syllabus. Toolbox.
14 1) NHST on Trail HM0 (5)
17 Rodgers (2010) Paper model (10) Primitive Models. Area F.
21 2) Logic of Research
24 ITSL 2 HM 1 (10) Data Exploration. Graphs.
28 3) Anatomy of GLM
Oct 2 ITSL 3 HM 2 (10) Multiple Regression. Simulation.
05 EXAM I. Test EXAM I (50)
08 EXAM I. Analysis
12 Thanksgiving
15 GLM: graphs and scripts
19 Graphs: Advertising ITSL 6.1, 6.5 HM 3 (10) Validation. Subset. Fit.
22 Graphs & Models: Boston
26 Handling model objects ITSL 7.1-2, 7.5 Polynomial. Nonlinear.GAM.
29 Detecting nonlinearity with graphs HM 4 (10) Academic Drop Deadline (Oct 31)
Nov 02 History Of Graphs and Models Wickham (2014) Paper model (10) Tidy Data Workshop
05 Exam II. Test EXAM II (100)
09 Reading Week
12 no class
16 EXAM II. Analysis
19 7) Reproducible Research Production: Reports
23 workshop Production: Reports
26 workshop Production: Slides
30 Report (40)
Dec 03 Slides (20)
07 Presentation (30)

The development of the course materials is partially funded by the ICRR grant from Learning and Teaching Centre at UVic. The mid-way report was given at the begining of the second week of the course (on 18 Sep 2015). Grant completion report presented at the ICRR and LWB Grant Recipients meeting on 21 Jan 2016, six week after the course completion.

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