PSYC 4541-002, Spring 2020
PSYC 5541-802, Spring 2020
Modern Psychometric Methods with R
Lecture 11:00–111:50 Monday, Wednesday & Friday, Muenzinger D346
Instructor:
Lew Harvey
Office Hours:
Muenzinger D251B
Mon, Tue, Thu 9:00–10:00
and by appointment
lewis.harvey@colordo.edu
https://cuboulder.zoom.us/j/4912871026
Textbook
Chloe Tucker has written a wonderful set of tips for online leaning on behalf of the CU Student Advisory and Reserch Board that has been published by the CU Academic Advising Center. Click here to get lots of good advice: Tips for Online Learning by Chloe Tucker.
****************COVID-19 Emergency Measures*****************
All office hour consultations starting Monday, 16 March 2020 will be held remotely via email or using Zoom. My office hours are listed above. Use the Zoom ID to chat live during office hours.
You may download Zoom from OIT by clicking on this link: OIT Zoom. This web page has very clear instructions and useful information.
Class will meet at the normal time via Zoom. Here is the link:
https://cuboulder.zoom.us/j/347117851
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The course is built around Patrick Mair’s new book of the same title. What will be covered will depend who is enrolled in the class. Ideally the students would have some particular data analysis problem that they would like to solve. These problems would determine what we would actually do in the during the semester. The overarching theme is Latent Variables and Where to Find Them (thank you J. K. R.). Searching for latent variables covers a wide range of topics, most of them not usually discussed under one conceptual framework: e.g., signal detection theory, test-item analysis, optimized scaling analysis, path analysis, factor analysis, structural equations, preference analysis and multidimensional scaling analysis. The course is aimed at smart, curious, intellectual active advanced undergraduates and honors students working on their data analyses for Spring 2020 as well as graduate students who are interested in expanding their skills in advanced data analysis relevant to their research projects.
Please read the University of Colorado Policy on Academic Integrity. An excellent discussion of plagiarism and how to avoid it is found here.
The syllabus and other files below are in Adobe Portable Document Format (pdf). Double-click on each active link to read the file. Mac users can use Preview, a pdf reader that is included with the OS X operating system. Windows users can download the free Adobe Reader from Adobe to read pdf files. For assigned journal articles and grades, check out the course page on Canvas: https://canvas.colorado.edu. You will need your IdentiKey user name and password to access the course page.
- Syllabus
- How to Read a Journal Article
- Readings available through Canvas
- Student Presentation Materials available through Canvas
- SDT Handout
- Report Markdown Template
- Zoom Class Meetings Archive mp4 videos through Canvas
- Optional Software
- R Packages Installer
| Assignment | Date | Type | Material |
|---|---|---|---|
| Assignment 1 | 22 Jan 2020 | EPT Data Analysis | EPT Packet |
| Assignment 2 | 29 Jan 2020 | Axelsson Data Analysis | Axelsson Packet |
| Assignment 3 | 5 Feb 2020 | Face Recognition Exp | |
| Assignment 4 | 12 Feb 2020 | Journal Article Search | Description |
| Assignment 5 | 14 Feb 2020 | Color Scaling Exp | |
| Assignment 6 | 19 Feb 2020 | Color Dissimilarity and Preference Scaling Exp | |
| Assignment 7 | 28 Feb 2020 | Exploratory Factor Analysis | |
| Final Assignment | 1 Apr 2020 | Find the Latent Variables | |
| Lew's MPsychoR |
Last Revised on Friday, 03-Apr-2020 12:06