A Hybrid Utility Estimation Model for Conjoint Analysis

1981 ◽  
Vol 45 (1) ◽  
pp. 33-41 ◽  
Author(s):  
Paul E. Green ◽  
Stephen M. Goldberg ◽  
Mila Montemayor
Keyword(s):  
Individual Differences ◽  
Data Collection ◽  
Conjoint Analysis ◽  
Utility Functions ◽  
Individual Utility ◽  
Estimation Model ◽  
Utility Measurement ◽  
Antibiotic Drug ◽  
Utility Estimation

Increasingly, appliers of conjoint analysis are being faced with the need to reduce data collection demands on respondents while still obtaining enough data to estimate individual utility functions. The authors propose a model that combines the ease of self-explicated utility measurement with the greater generality of decompositional models to develop estimated utility functions that maintain individual differences. The model is applied to a conjoint study involving physicians’ evaluations of a new antibiotic drug. The paper concludes with suggestions for possible extensions of the approach.

A Hybrid Utility Estimation Model for Conjoint Analysis

1981 ◽  
Vol 45 (1) ◽  
pp. 33 ◽  
Author(s):  
Paul E. Green ◽  
Stephen M. Goldberg ◽  
Mila Montemayor
Keyword(s):  
Conjoint Analysis ◽  
Estimation Model ◽  
Utility Estimation

scholarly journals An Analysis of Consumer Preferences for Value-Added Seafood Products Derived from Crawfish

2002 ◽  
Vol 31 (2) ◽  
pp. 157-170 ◽  
Author(s):  
R. Wes Harrison ◽  
Timothy Stringer ◽  
Witoon Prinyawiwatkul
Keyword(s):  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Value Added ◽  
Utility Functions ◽  
Ordered Probit ◽  
Probit Models ◽  
Seafood Products ◽  
Ordered Probit Models ◽  
Old Men

Conjoint analysis is used to evaluate consumer preferences for three consumer-ready products derived from crawfish. Utility functions are estimated using two-limit tobit and ordered probit models. The results show women prefer a baked nugget or popper type product, whereas 35- to 44-year-old men prefer a microwavable nugget or patty type product. The results also show little difference between part-worth estimates or predicted rankings for the tobit and ordered probit models, implying the results are not sensitive to assumptions regarding the ordinal and cardinal nature of respondent preferences.

scholarly journals A Study of Educational Achievement of Standard XI Students in Context of their Learning Style in Reference to Area

2017 ◽  
Vol 4 (3) ◽  
Author(s):  
Ajay B. Raval
Keyword(s):  
Individual Differences ◽  
Data Collection ◽  
Learning Style ◽  
Individual Difference ◽  
Educational Achievement ◽  
Visual Learning ◽  
Learning Style Inventory ◽  
Kinesthetic Learning ◽  
The Individual ◽  
Selection Of

In the Era of Change, teacher should consider the individual differences while teaching in the classroom. In fact teacher must keep in mind the individual differences for teaching. Students have so many talent, we as a teacher must have that angel of view of identifying it. This individual difference can be divided in dimension of Learning Style, too. Researcher was giving service in High School as a teacher, he observe such an Individual difference in context to learning style in class room. Is there any relationship between Educational Achievement and Learning Style? Is there any effect of Learning Style on Educational Achievement in reference to Area? To find the answer of this question present study was conducted. Population & Sample: Population for present study was students studying in Standard-XI of Gujarati Medium School of Gandhinagar District. The selection of schools was by Stratified Randomization Technique and selection of students was selected by Cluster Method. In last, the Sample size was 607. Method: Survey Method was used for Data Collection. Tool: Self constructed Learning Style Inventory (L.S.I.) was used for Data Collection. Learning Style Inventory (L.S.I.) was three Point Likert type Scale. Findings: 1) There was no significance different in educational achievement among students having Visual Learning Style, Auditorial Learning Style and Kinesthetic Learning Style. 2) In matter of educational achievement, students of Rural are superior to students of Urban among students having Visual Learning Style. 3) In matter of educational achievement, students of Rural are superior to students of Urban among students having Auditorial Learning Style. 4) In matter of educational achievement, students of Urban are superior to students of Rural among students having Kinesthetic Learning Style.

scholarly journals Conjoint Analysis for Selecting the Ingredients Levels of Fortified Beverage

2021 ◽  
Vol 10 (9) ◽  
pp. 146-151
Author(s):  
R. Navarasam Ayyavoo Preamnath Manoharan ◽  
V. Appa Rao T. R. Pugazhenthi ◽  
A. Serma Saravana Pandian
Keyword(s):  
Conjoint Analysis ◽  
Research Paper ◽  
Relative Importance ◽  
Trade Off ◽  
Multivariate Technique ◽  
Fortified Beverage ◽  
Utility Estimation ◽  
Product Concepts

This research paper concentrated on the “Conjoint Analysis for Selecting the Ingredients Levels of Fortified Beverage”. Conjoint analysis is a multivariate technique used specifically to understand how consumers develop preferences for products or services and to formulate predictions about ingredients levels towards product concepts and it is also called as trade-off analysis. The fortified beverage was prepared with various levels of ingredients such as Carrot (5%, 10% and 15%), Moringa (5%,10% and 15%), Mushroom (3%,6% and 9%), Dates (1%,2% and 3%) and Seaweed (1%,2% and 3%). Since, this large number of combinations led to non-responsible of consumers and improper results may be obtained. Hence, the conjoint analysis for selecting the best ingredient levels of ideal fortified beverage is based on the utility estimation and relative importance of attributes and was found that it should have the following attributes combination: Carrot – 15 per cent, Mushroom – 6 Per cent, Moringa – 5 per cent, Dates – 2 per cent and Sea Weed – 1 per cent.

State-of-Mind Effects on the Accuracy with Which Utility Functions Predict Marketplace Choice

1980 ◽  
Vol 17 (3) ◽  
pp. 277-293 ◽  
Author(s):  
Peter Wright ◽  
Mary Ann Kriewall
Keyword(s):  
High School ◽  
Utility Functions ◽  
Utility Measurement ◽  
State Of Mind

Derived and reported utility functions for members of a high school junior's family were used to predict actual college applications made the next year. The manipulations were whether or not advance deliberations were prompted before the utility measurement and whether or not subjects imagined an imminent commitment deadline. The predictions were poorer when subjects did not deliberate in advance or imagine a commitment was imminent. The reported utilities gave better predictions than the derived ones.

scholarly journals Three Dimensions of User Risk-Taking: Individual Differences in the TriRB

2019 ◽  
Vol 63 (1) ◽  
pp. 267-271
Author(s):  
Noam Ben Asher ◽  
Joachim Meyer
Keyword(s):  
Individual Differences ◽  
Risk Aversion ◽  
Risk Taking ◽  
Risk Measures ◽  
Computer Systems ◽  
Utility Functions ◽  
Three Dimensions

Ben-Asher and Meyer (2018) developed a model of risk-related behavior in computer systems, named the Triad of Risk-related Behavior (TriRB). It identified three behaviors – the exposure to risk, the use of security features and the responses to security indications. Various factors affected the three behaviors differently. We report an experiment with 83 participants who performed the Tetris-game like task, designed for studying the TriRB. We also collected data on four measures of individual differences in risk-taking (BART, DOSPERT and questionnaires on assessing risk aversion in the utility functions). We computed the correlations between the behaviors in the TriRB and the risk measures. Different risk measures were correlated with the three behaviors, supporting the notion that these are indeed three different risk-related behaviors and not expressions of a general underlying tendency to take risks. We discuss some implications of these findings for cybersecurity research and praxis.

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