Precise models deserve precise measures
The recognition heuristic (RH) --- which predicts non-compensatory reliance on recognition in comparative judgments --- has attracted much research and some disagreement, at times. Most studies have dealt with whether or under which conditions the RH is truly used in paired-comparisons. However, eve...
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2010-07-01
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| Series: | Judgment and Decision Making |
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| Online Access: | http://journal.sjdm.org/10/rh5/rh5.pdf |
| _version_ | 1827853600451198976 |
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| author | Benjamin E. Hilbig |
| author_facet | Benjamin E. Hilbig |
| author_sort | Benjamin E. Hilbig |
| collection | DOAJ |
| description | The recognition heuristic (RH) --- which predicts non-compensatory reliance on recognition in comparative judgments --- has attracted much research and some disagreement, at times. Most studies have dealt with whether or under which conditions the RH is truly used in paired-comparisons. However, even though the RH is a precise descriptive model, there has been less attention concerning the precision of the methods applied to measure RH-use. In the current work, I provide an overview of different measures of RH-use tailored to the paradigm of natural recognition which has emerged as a preferred way of studying the RH. The measures are compared with respect to different criteria --- with particular emphasis on how well they uncover true use of the RH. To this end, both simulations and a re-analysis of empirical data are presented. The results indicate that the adherence rate --- which has been pervasively applied to measure RH-use --- is a severely biased measure. As an alternative, a recently developed formal measurement model emerges as the recommended candidate for assessment of RH-use. |
| first_indexed | 2024-03-12T11:09:07Z |
| format | Article |
| id | doaj.art-fe2420e24a924f7aae0c42094edbe8fc |
| institution | Directory Open Access Journal |
| issn | 1930-2975 |
| language | English |
| last_indexed | 2024-03-12T11:09:07Z |
| publishDate | 2010-07-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Judgment and Decision Making |
| spelling | doaj.art-fe2420e24a924f7aae0c42094edbe8fc2023-09-02T03:23:42ZengCambridge University PressJudgment and Decision Making1930-29752010-07-0154272284Precise models deserve precise measuresBenjamin E. HilbigThe recognition heuristic (RH) --- which predicts non-compensatory reliance on recognition in comparative judgments --- has attracted much research and some disagreement, at times. Most studies have dealt with whether or under which conditions the RH is truly used in paired-comparisons. However, even though the RH is a precise descriptive model, there has been less attention concerning the precision of the methods applied to measure RH-use. In the current work, I provide an overview of different measures of RH-use tailored to the paradigm of natural recognition which has emerged as a preferred way of studying the RH. The measures are compared with respect to different criteria --- with particular emphasis on how well they uncover true use of the RH. To this end, both simulations and a re-analysis of empirical data are presented. The results indicate that the adherence rate --- which has been pervasively applied to measure RH-use --- is a severely biased measure. As an alternative, a recently developed formal measurement model emerges as the recommended candidate for assessment of RH-use.http://journal.sjdm.org/10/rh5/rh5.pdfrecognition heuristicmethodologysimulationadherenceratesignal detection theorymultinomial processing tree model. |
| spellingShingle | Benjamin E. Hilbig Precise models deserve precise measures Judgment and Decision Making recognition heuristic methodology simulation adherencerate signal detection theory multinomial processing tree model. |
| title | Precise models deserve precise measures |
| title_full | Precise models deserve precise measures |
| title_fullStr | Precise models deserve precise measures |
| title_full_unstemmed | Precise models deserve precise measures |
| title_short | Precise models deserve precise measures |
| title_sort | precise models deserve precise measures |
| topic | recognition heuristic methodology simulation adherencerate signal detection theory multinomial processing tree model. |
| url | http://journal.sjdm.org/10/rh5/rh5.pdf |
| work_keys_str_mv | AT benjaminehilbig precisemodelsdeserveprecisemeasures |