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Course Information

  
Instructor:Jonathan Templin
email:jonathan-templin@uiowa.edu
Office:S210B Lindquist Center
Office Phone:319-335-6429
Classroom:S302 Lindquist Center
Meeting Time:W & F 12:30-13:45
Office Hours:W 14:00-16:00 or by appointment
GitHub Repositoryhttps://github.com/jonathantemplin/Bayesian-Psychometric-Modeling-Course-Fall2022
Syllabushttps://github.com/jonathantemplin/Bayesian-Psychometric-Modeling-Course-Fall2022/raw/main/syllabus/bpm22_syllabus.pdf

Course Objectives, and Prerequisites

In this course, a unified Bayesian modeling approach will be presented across traditionally separate families of psychometric models. Focusing more directly how to use Bayesian methods in psychometrics, this course will to cover Bayesian theory along with applied treatments of popular psychometric models, including confirmatory factor analysis (CFA), item response theory (IRT), latent class analysis, diagnostic classification models, and Bayesian networks. The focus of this course will be on model building directly in Bayesian programs (i.e., stan and JAGS) rather than the use of packages that build such code automatically.

Time permitting, multilevel models and multilevel psychometric models will be presented.

Course Schedule and Content

DateTopicReading(s)Homework AssignedFormative Assessment
24 AugCourse Introduction (see syllabus)SyllabusNoneNone
26 Aug
LM (2016): Chs. 2 & 3 HW1 (Due 8 Sep at 11:59)None
31 AugFA1 (via ICON) Due 11:59 AM Friday, 2 Sep
02 Sep
McDonald (1999): Chapters 1 & 2 (via ICON)
07 Sep
09 SepFA2 (via ICON) Due 11:59 AM Friday, 9 Sep
14 Sep

LM (2016): Ch. 5None
16 SepFA3(via ICON) Due 11:59 AM Friday, 16 Sep
21 Sep



HW 2: Due (via ICON) Thursday, 6 Oct 11:59pm.
FA4(via ICON) Due 11:59 AM Friday, 23 Sep
23 Sep
28 Sep


FA5(via ICON) Due 11:59 AM Friday, 30 Sep
30 Sep
05 Oct
NoneFA6(via ICON) Due 11:59 AM Friday, 07 Oct
07 Oct
19 Oct


Skrondal and Rabe-Hesketh (2004), Chapters 1 and 2NoneNone
21 Oct
26 Oct

LM (2016): Chs. 7 and 9.

Ebook (UIowa)
FA7 (via ICON) Due 11:59AM Friday, 28 Oct
28 Oct
02 NovNone
04 Nov

HW 3: Due (via ICON) Friday, 02 Dec 11:59pm.
09 NovFA8 (via ICON) Due 11:59AM Friday, 28 Oct
11 Nov
16 Nov


None
18 Nov
30 Nov

HW 3: Due (via ICON) Friday, 02 Dec 11:59pm.
None
02 Dec

None

07 Dec


References

Levy, R., & Mislevy, R.J. (2016). Bayesian Psychometric Modeling (1st ed.). Chapman and Hall/CRC. https://doi.org/10.1201/9781315374604

McDonald, R. P. (1999). Test theory: A unified treatment. Erlbaum.