Supplemental Material for Excited and Aroused: The Predictive Importance of Simple Choice Process Metrics

2021 ◽  
Keyword(s):  
Choice Process ◽  
Process Metrics

Jeopardy: The Beat-the-Incumbent Choice Process

2014 ◽  
Author(s):  
Wendy Liu ◽  
Itamar Simonson
Keyword(s):  
Choice Process

scholarly journals Studying Undergraduate Course Consideration at Scale

AERA Open ◽  
2021 ◽  
Vol 7 ◽  
pp. 233285842199114
Author(s):  
Sorathan Chaturapruek ◽  
Tobias Dalberg ◽  
Marissa E. Thompson ◽  
Sonia Giebel ◽  
Monique H. Harrison ◽  
...  
Keyword(s):  
Empirical Study ◽  
Research University ◽  
Academic Major ◽  
College Completion ◽  
Course Selection ◽  
Choice Process ◽  
Trace Data ◽  
Student Interviews ◽  
Private Research

Elective curriculums require undergraduates to choose from a large roster of courses for enrollment each term. It has proven difficult to characterize this fateful choice process because it remains largely unobserved. Using digital trace data to observe this process at scale at a private research university, together with qualitative student interviews, we provide a novel empirical study of course consideration as an important component of course selection. Clickstream logs from a course exploration platform used by most undergraduates at the case university reveal that students consider on average nine courses for enrollment for their first fall term (<2% of available courses) and these courses predict which academic major students declare two years later. Twenty-nine interviews confirm that students experience consideration as complex and reveal variation in consideration strategies that may influence how consideration unfolds. Consideration presents a promising site for intervention in problems of equity, career funneling, and college completion.

A thematic analysis for how patients, prescribers, experts, and patient advocates view the prescription choice process

2009 ◽  
Vol 5 (2) ◽  
pp. 154-169 ◽  
Author(s):  
Jon C. Schommer ◽  
Marcia M. Worley ◽  
Andrea L. Kjos ◽  
Serguei V.S. Pakhomov ◽  
Stephen W. Schondelmeyer
Keyword(s):  
Thematic Analysis ◽  
Choice Process ◽  
Patient Advocates ◽  
Prescription Choice

The Choice Process for Graduate Business Schools

1978 ◽  
Vol 15 (4) ◽  
pp. 588 ◽  
Author(s):  
Girish N. Punj ◽  
Richard Staelin
Keyword(s):  
Business Schools ◽  
Choice Process

USING CLASSIFICATION TREES FOR SOFTWARE QUALITY MODELS: LESSONS LEARNED

1999 ◽  
Vol 09 (02) ◽  
pp. 217-231 ◽  
Author(s):  
TAGHI M. KHOSHGOFTAAR ◽  
EDWARD B. ALLEN ◽  
ARCHANA NAIK ◽  
WENDELL D. JONES ◽  
JOHN P. HUDEPOHL
Keyword(s):  
Software Quality ◽  
Classification Trees ◽  
Lessons Learned ◽  
Quality Models ◽  
Model Based ◽  
Software Product ◽  
High Assurance ◽  
Process Metrics ◽  
Product And Process ◽  
Software Quality Models

High software reliability is an important attribute of high-assurance systems. Software quality models yield timely predictions of quality indicators on a module-by-module basis, enabling one to focus on finding faults early in development. This paper introduces the Classification And Regression Trees (CART) a algorithm to practitioners in high-assurance systems engineering. This paper presents practical lessons learned on building classification trees for software quality modeling, including an innovative way to control the balance between misclassification rates. A case study of a very large telecommunications system used CART to build software quality models. The models predicted whether or not modules would have faults discovered by customers, based on various sets of software product and process metrics as independent variables. We found that a model based on two software product metrics had comparable accuracy to a model based on forty product and process metrics.

scholarly journals Gaze Amplifies Value in Decision Making

2018 ◽  
Vol 30 (1) ◽  
pp. 116-128 ◽  
Author(s):  
Stephanie M. Smith ◽  
Ian Krajbich
Keyword(s):  
Response Times ◽  
Data Sets ◽  
Choice Data ◽  
Data Set ◽  
Choice Process ◽  
The Gaze ◽  
Large Sets ◽  
Subjective Value ◽  
Amplifying Effect ◽  
Familiar Stimuli

When making decisions, people tend to choose the option they have looked at more. An unanswered question is how attention influences the choice process: whether it amplifies the subjective value of the looked-at option or instead adds a constant, value-independent bias. To address this, we examined choice data from six eye-tracking studies ( Ns = 39, 44, 44, 36, 20, and 45, respectively) to characterize the interaction between value and gaze in the choice process. We found that the summed values of the options influenced response times in every data set and the gaze-choice correlation in most data sets, in line with an amplifying role of attention in the choice process. Our results suggest that this amplifying effect is more pronounced in tasks using large sets of familiar stimuli, compared with tasks using small sets of learned stimuli.

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