Coping with a Cluttered Marketplace: Athlete Choice of Products to Support Training*

2013 ◽  
Vol 27 (1) ◽  
pp. 59-72 ◽  
Author(s):  
Brianna L. Newland ◽  
Laurence Chalip ◽  
John L. Ivy
Keyword(s):  
Cluster Analysis ◽  
Logistic Regression ◽  
Conjoint Analysis ◽  
Multinomial Logistic Regression ◽  
Scientific Evidence ◽  
Optimal Choice ◽  
Market Segment ◽  
Market Segments ◽  
Fat Taste ◽  
Postexercise Recovery

To determine whether athletes are confused about supplementation, this study examines the relative levels of adult runners’ and triathletes’ preferences for postexercise recovery drink attributes (price, fat, taste, scientific evidence, and endorsement by a celebrity athlete), and the ways those preferences segment. It then examines the effect of athlete characteristics on segment and drink choice. Only a plurality of athletes (40.6%) chose a carbohydrate-protein postexercise recovery drink (the optimal choice), despite the fact that they valued scientific evidence highly. Athletes disliked or were indifferent to endorsement by a celebrity athlete, moderately disliked fat, and slightly preferred better tasting products. Cluster analysis of part-worths from conjoint analysis identified six market segments, showing that athletes anchored on one or two product attributes when choosing among alternatives. Multinomial logistic regression revealed that media influence, hours trained, market segment, gender, and the athlete’s sport significantly predicted drink choice, and that segment partially mediated the effect of sport on drink choice. Findings demonstrate confusion among athletes when there are competing products that each claim to support their training.

An analysis of risk management tools utilized by Illinois farmers

2014 ◽  
Vol 74 (1) ◽  
pp. 69-86 ◽  
Author(s):  
Kerry Tudor ◽  
Aslihan Spaulding ◽  
Kayla D. Roy ◽  
Randy Winter
Keyword(s):  
Cluster Analysis ◽  
Risk Management ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Risk Attitude ◽  
Management Tool ◽  
Management Service ◽  
Perceived Effectiveness ◽  
Management Tools ◽  
Content Type

Purpose – The purpose of this paper is to investigate the relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Design/methodology/approach – A mail survey was used to collect information about utilization of risk management tools, perceived effectiveness of risk management tools, and factors that could influence choice of risk management tools by Illinois farmers. Cluster analysis, one-way ANOVA, χ2 tests of independence, and multinomial logistic regression were utilized to detect possible relationships among choice of risk management tools, perceived effectiveness of risk management tools, self-reported risk attitude, and farm and farmer characteristics. Findings – Multinomial logistic regression analysis revealed that age and gross farm income (GFI) were the strongest predictors of the risk management tool utilization group to which an individual would be assigned. The number of risk management tools utilized decreased with age but increased with GFI. Neither self-reported risk attitude nor education was a significant independent variable in the multinomial logistic regression model, but both were strongly impacted by age. Younger farmers with higher GFI were the most likely users of hedging. Research limitations/implications – The results of this study provide support for the idea that farmers who are better able to generate revenue are better able to manage risk, but the direction of causality was not investigated. Practical implications – Risk management service providers could benefit from this study as a benchmark for understanding their current and potential farmer clients’ risk management strategies. Originality/value – This study used cluster analysis and multinomial logistic regression to address the complexity of decisions regarding multiple risk management tools. The number of tools utilized by individuals was investigated.

scholarly journals Consumer Preferences for Peanut Butter (Mamba) Products in Haiti: A Conjoint Analysis

2003 ◽  
Vol 30 (2) ◽  
pp. 99-103 ◽  
Author(s):  
R. G. Nelson ◽  
C. M. Jolly ◽  
M. J. Hinds ◽  
Y. Donis ◽  
E. Prophete
Keyword(s):  
Cluster Analysis ◽  
Conjoint Analysis ◽  
Logit Model ◽  
Consumer Preferences ◽  
Peanut Butter ◽  
Multinomial Logit Model ◽  
Demographic Variables ◽  
The Other ◽  
Relative Importance ◽  
Market Segments

Abstract Haitian consumers were surveyed to determine their preferences for three attributes of peanut butter: form (spicy, sweet, plain), origin (Haiti, U.S.), and price (lowest, most common, highest). Conjoint analysis was used to calculate relative importance and strengths of preferences for these attributes, which showed that price had more than twice the importance in the buying decision as either of the other attributes. Cluster analysis was used to identify market segments of like preferences, such as those strongly favoring Haitian products, or strongly disliking the plain form, or strongly sensitive to price. A multinomial logit model was used to evaluate the effect of various demographic variables on the probability of membership in a segment. A market share simulation determined that a new, sweet peanut butter product would increase domestic revenues most if priced at the highest level because a segment of the population would purchase the product and increase total peanut consumption.

scholarly journals Does one size fit all? An analysis of portfolio allocation in the Brazilian multiparty presidential system

2018 ◽  
Vol 24 (2) ◽  
pp. 427-455 ◽  
Author(s):  
Pedro Lucas de Moura Palotti ◽  
Pedro Luiz Costa Cavalcante
Keyword(s):  
Public Policy ◽  
Cluster Analysis ◽  
Logistic Regression ◽  
Multinomial Logistic Regression ◽  
Portfolio Allocation ◽  
The Political ◽  
The Core ◽  
Presidential System ◽  
Legislative Support ◽  
Do So

Presidents face a dilemma of whom to appoint for cabinet positions. They need to secure legislative support for their government and at the same time achieve their goals in terms of public policy. This work analyzes the portfolio allocation of Brazilian presidents in Brazil’s multiparty system. This study tests some hypotheses using multinomial logistic regression to identify appointment strategies adopted by the presidents in four different governmental sectors from 1990 to 2016. To do so, first, we create an index of ministerial politicization (IMP) and aggregate the ministries in these four sections, employing cluster analysis. The results show that appointments to the core positions in government tend to be less politicized. Moreover, the president’s personal nominations were greater in the presidential units that carry out the political coordination and typical functions of the State.

scholarly journals Consumer Preferences for Geranium Flower Color, Leaf Variegation, and Price

HortScience ◽  
1999 ◽  
Vol 34 (4) ◽  
pp. 740-742 ◽  
Author(s):  
Bridget Behe ◽  
Robert Nelson ◽  
Susan Barton ◽  
Charles Hall ◽  
Charles D. Safley ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Conjoint Analysis ◽  
Consumer Preferences ◽  
Flower Color ◽  
Market Segments ◽  
Photographic Images ◽  
Leaf Variegation ◽  
Green Zone ◽  
Multiple Variables ◽  
Dark Green

Researchers often investigate consumer preferences by examining variables consecutively, rather than simultaneously. Conjoint analysis facilitates simultaneous investigation of multiple variables. Cluster analysis facilitates development of actionable market segments. Our objective was to identify relative importance and consumer preferences for flower color, leaf variegation, and price of geraniums (Pelargonium ×hortorum L.H. Bail.) and to identify several actionable market segments. We also evaluated the desirability of a hypothetical blue geranium. Photographic images were digitized and manipulated to produce plants similar in flower area, but varying in flower color (red, lavender, pink, white, and blue), leaf variegation (plain green, dark green zone, and white zone), and price ($1.39 to $2.79). Conjoint analysis revealed that flower color was the primary consideration in the purchase decision, followed by leaf variegation and price. A cluster analysis that excluded blue geraniums yielded four actionable consumer segments. When preferences for the blue geranium were included, six consumer segments were identified.

Public knowledge, perception and communication behavior surrounding COVID-19 in Malaysia

2020 ◽  
Author(s):  
Khayriyyah Mohd Hanafiah ◽  
Chang Da Wan
Keyword(s):  
Logistic Regression ◽  
Employment Status ◽  
Multinomial Logistic Regression ◽  
Movement Control ◽  
Education Level ◽  
Public Knowledge ◽  
Communication Behavior ◽  
Positive Communication ◽  
The Face ◽  
Control Order

The COVID-19 pandemic is the first to occur in an age of hyperconnectivity. This paper presents results from an online anonymous survey conducted in Malay, English, and Chinese, during the first week of the Movement Control Order in Malaysia (n=1075), which aimed to examine public knowledge, perception and communication behavior in the Malaysian society in the face of a sudden outbreak and social distancing measures. Although the level of public knowledge, risk perception and positive communication behavior surrounding COVID-19 was high, a majority of respondents reported receiving a lot of questionable information. Multinomial logistic regression further identified that responses to different items varied significantly across respondent survey language, gender, age, education level and employment status.

scholarly journals Reduced rank multinomial logistic regression in Markov chains with application to cognitive data

2021 ◽  
Author(s):  
Pei Wang ◽  
Erin L. Abner ◽  
David W. Fardo ◽  
Frederick A. Schmitt ◽  
Gregory A. Jicha ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Markov Chains ◽  
Multinomial Logistic Regression ◽  
Reduced Rank ◽  
Cognitive Data

scholarly journals Association between Social Integration and Face Mask Use Behavior during the SARS-CoV-2 Pandemic in Japan: Results from U-CORONA Study

2021 ◽  
Vol 18 (9) ◽  
pp. 4717
Author(s):  
Nobutoshi Nawa ◽  
Yui Yamaoka ◽  
Yuna Koyama ◽  
Hisaaki Nishimura ◽  
Shiro Sonoda ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Social Network ◽  
Social Integration ◽  
Response Bias ◽  
Multinomial Logistic Regression ◽  
Face Mask ◽  
Neighborhood Association ◽  
Multinomial Logistic Regression Analysis ◽  
Use Behavior

Face mask use is a critical behavior to prevent the spread of SARS-CoV-2. We aimed to evaluate the association between social integration and face mask use during the COVID-19 pandemic in a random sample of households in Utsunomiya City, Greater Tokyo, Japan. Data included 645 adults in the Utsunomiya COVID-19 seROprevalence Neighborhood Association (U-CORONA) study, which was conducted after the first wave of the pandemic, between 14 June 2020 and 5 July 2020, in Utsunomiya City. Social integration before the pandemic was assessed by counting the number of social roles, based on the Cohen’s social network index. Face mask use before and during the pandemic was assessed by questionnaire, and participants were categorized into consistent mask users, new users, and current non-users. Multinomial logistic regression analysis was used to examine the association between lower social integration score and face mask use. To account for possible differential non-response bias, non-response weights were used. Of the 645 participants, 172 (26.7%) were consistent mask users and 460 (71.3%) were new users, while 13 (2.0%) were current non-users. Lower social integration level was positively associated with non-users (RRR: 1.76, 95% CI: 1.10, 2.82). Social integration may be important to promote face mask use.

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