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020 ▼a 9780438010277
035 ▼a (MiAaPQ)AAI10792643
035 ▼a (MiAaPQ)purdue:22562
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 658
1001 ▼a Aggarwal, Harsh Wardhan.
24510 ▼a Effect of Cue Cardinality, Cue Representation and Judgment Options on Human Judgments.
260 ▼a [S.l.] : ▼b Purdue University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 343 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 ▼a Adviser: Steven J. Landry.
5021 ▼a Thesis (Ph.D.)--Purdue University, 2018.
520 ▼a Judgment studies using different set of cues have been used from over 50 years to understand how people make judgments. Brunswik's Lens Model, a regression model which combines the ecological and the human's judgment model using a common set of
520 ▼a The simulation runs with two judgment policies provide evidence that lens model is insensitive to the change in task characteristics, which were consistent with the past meta-analysis. Also, from the human subject experiments, no evidence was fo
520 ▼a Furthermore, the methodology used in this study for both simulation and judgment analysis should be used as a stepping stone by judgment analysis researchers to understand the effect on human judgment in other domains and while using different j
590 ▼a School code: 0183.
650 4 ▼a Industrial engineering.
650 4 ▼a Engineering.
690 ▼a 0546
690 ▼a 0537
71020 ▼a Purdue University. ▼b Industrial Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-10B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0183
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997714 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자