TEMAP2.R: True and Error model analysis program in R
True and Error Theory (TET) provides a method to separate the variability of behavior into components due to changing true policy and to random error. TET is a testable theory that can serve as a statistical model, allowing one to evaluate substantive theories as nested, special cases. TET is more a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2018-09-01
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| Series: | Judgment and Decision Making |
| Subjects: | |
| Online Access: | http://journal.sjdm.org/18/18507/jdm18507.pdf |
| Summary: | True and
Error Theory (TET) provides a method to separate the variability of behavior
into components due to changing true policy and to random error. TET is a
testable theory that can serve as a statistical model, allowing one to evaluate
substantive theories as nested, special cases. TET is more accurate
descriptively and has theoretical advantages over previous approaches. This
paper presents a freely available computer program in R that can be used to fit
and evaluate both TET and substantive theories that are special cases of it.
The program performs Monte Carlo simulations to generate distributions of test
statistics and bootstrapping to provide confidence intervals on parameter
estimates. Use of the program is illustrated by a reanalysis of previously
published data testing whether what appeared to be violations of Expected
Utility (EU) theory (Allais paradoxes) by previous methods might actually be
consistent with EU theory. |
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| ISSN: | 1930-2975 |