The individual true and error model: Getting the most out of limited data
True and Error Theory (TET) is a modern latent variable modeling approach for analyzing sets of preferences held by people. Individual True and Error Theory (iTET) allows researchers to estimate the proportion of the time an individual truly holds a particular underlying set of preferences without a...
Main Author: | Pele Schramm |
---|---|
Format: | Article |
Language: | English |
Published: |
Cambridge University Press
2020-09-01
|
Series: | Judgment and Decision Making |
Subjects: | |
Online Access: | http://journal.sjdm.org/19/190516/jdm190516.pdf |
Similar Items
-
The individual true and error model: Getting the most out of limited data
by: Pele Schramm
Published: (2020-09-01) -
Bayesian methods for analyzing true-and-error models
by: Michael D. Lee
Published: (2018-11-01) -
Bayesian methods for
analyzing true-and-error models
by: Michael D. Lee
Published: (2018-11-01) -
TEMAP2.R: True and Error model analysis program in R
by: Michael H. Birnbaum, et al.
Published: (2018-09-01) -
Bayesian and frequentist analysis of True and Error models
by: Michael H. Birnbaum
Published: (2019-09-01)