Toward a predictive model of the consumer inference process: The role of expertise

1994 ◽  
Vol 11 (2) ◽  
pp. 109-127 ◽  
Author(s):  
Dong Hwan Lee ◽  
Richard W. Olshavsky
Keyword(s):  
Predictive Model ◽  
Inference Process

scholarly journals Online Gambling Activity, Pay-to-Win Payments, Motivation to Gamble and Coping Strategies as Predictors of Gambling Disorder Among e-sports Bettors

2021 ◽  
Author(s):  
Bernadeta Lelonek-Kuleta ◽  
Rafał Piotr Bartczuk
Keyword(s):  
Coping Strategies ◽  
Predictive Model ◽  
Gambling Disorder ◽  
Online Gambling ◽  
Gambling Activity ◽  
Psychological Variables ◽  
Betting Behavior ◽  
Game Session ◽  
And Coping

AbstractResearch on esports activity usually captures it from the perspective of involvement in gaming. This study presents the results of the first research in Poland (N = 438) on esports betting (ESB). ESB is compared to other forms of e-gambling and involvement in pay-to-win games. The aim was to build a predictive model of gambling disorder among people betting on esports. A predictive model of gambling disorder based on ordinal regression was built, including sociodemographic variables, involvement in esports betting, involvement in other Internet activities connected to ESB, as well as psychological variables—motivation to gamble and coping strategies. The results showed that gambling disorder among esports bettors is associated with time spent on one game session, placing other forms of online gambling bets once a week or more often, and paying in pay-to-win games. Gambling disorder was also predicted by escape coping strategies and lower engaged strategies as well as financial and coping motivation to bet on esports results. The results show the crucial role of psychological factors (motivation, coping) in the development of esports betting addiction. Esports betting is an activity associated with both gambling and gaming—involvement in both activities explains the development of ESB addiction. There is a need for further research focused on the specificity of esports betting behavior to discover the direction of links among gaming, gambling, and esports gambling.

scholarly journals The Predictive Relationship Among the Community of Inquiry Framework, Perceived Learning and Online, and Graduate Students’ Course Grades in Online Synchronous and Asynchronous Courses

2016 ◽  
Vol 17 (3) ◽  
Author(s):  
Amanda Rockinson-Szapkiw ◽  
Jillian Wendt ◽  
Mervyn Whighting ◽  
Deanna Nisbet
Keyword(s):  
Predictive Model ◽  
Community Of Inquiry ◽  
Perceived Learning ◽  
Course Grades ◽  
Correlational Design ◽  
Asynchronous Courses ◽  
Graduate Student Success ◽  
Community Of Inquiry Framework ◽  
Course Variables

<p>The Community of Inquiry framework has been widely supported by research to provide a model of online learning that informs the design and implementation of distance learning courses.  However, the relationship between elements of the CoI framework and perceived learning warrants further examination as a predictive model for online graduate student success.  A predictive correlational design and hierarchical multiple regression was used to investigate relationships between community of inquiry factors and perceived learning to determine the predictive validity of these variables for students’ course points (<em>N</em> = 131), while controlling for demographic and course variables. The results of this study clearly supported the foundational constructs of Community of Inquiry (CoI) theory (Garrison et al., 2000) and the role of perceived learning to predict final course points. The entire predictive model explained 55.6% of the variance in course points. Implications, limitations, and recommendations are discussed.</p>

Influence of scarcity claims on product evaluation: The role of reversibility of decision

2018 ◽  
Vol 46 (2) ◽  
pp. 281-292 ◽  
Author(s):  
Seung Yun Lee ◽  
Sangdo Oh ◽  
Sunho Jung
Keyword(s):  
Product Evaluation ◽  
Inference Process ◽  
A Value ◽  
Product Value ◽  
Manipulative Intent ◽  
Positive Effect ◽  
Practical Implications

Marketers often employ scarcity messages to attract consumers. In this study, we showed that consumers make inferences about the truth or falsity of scarcity claims. When consumers interpret scarcity as a value signal, scarcity will positively influence product evaluation. In contrast, when scarcity is interpreted as a signal with manipulative intent, the positive effect of scarcity on product evaluation is reduced. Accordingly, we identified reversibility of decision as a moderating factor in the positive effect of scarcity on product evaluation. Results showed that scarcity had a positive effect on product evaluation only when reversibility of decision was high. Further, this effect was mediated by an inference process, whereby consumers perceived scarcity claims to be either a signal of product value or of manipulative intent. Theoretical and practical implications are discussed.

scholarly journals In Architecture Inference The role of inference in the development of creative abilities of architecture student

2017 ◽  
Vol 5 (2) ◽  
pp. 64-79
Author(s):  
Basim Hasan Almajedi ◽  
Aymen Abdul hussein Jawad
Keyword(s):  
Architectural Design ◽  
Common Factors ◽  
New Product ◽  
Research Problem ◽  
The Other ◽  
Product Architecture ◽  
Inference Process ◽  
The Common ◽  
The Individual

Inference process is an important part in the architectural design process as well as to realize the different aspects of the product architecture, and plays an important role in bringing new products of an innovator and contrary to traditional productions, through the investment of available data and linking them with the individual and previous expertise and experience for getting creative output in architecture. The research  Inference in the architecture field in addition to the other importance of cognitive fields, And the in architecture Special through students from them problems in the weak evidentiary have a base, from here the research problem of (Ambiguity of available knowledge about the role of inference Resources in the development of creative ability with the architecture students), to achieve the goal of research in architectural directed toward investment sources inference in generating solutions to creative problems of design to get into creative output in architecture, to highlight the research hypotheses, was where the hypothesis key b (Whenever inventories increased in the architecture students memory, increased his capabilities and creative skills in design), to be then test these hypotheses through questionnaire to a group of students, where it was found that (The multiplicity of views and reasoning process by the architecture students help him to produce and give many and varied images of processors design solutions, which may contain the common factors that contribute to the formation of a new product of an architect and has a unique and iconic properties).

scholarly journals Predictive Model of The Factors Involved in Cyberbullying of Adolescent Victims

2022 ◽  
Vol 12 ◽  
Author(s):  
Ligia Isabel Estrada-Vidal ◽  
Amaya Epelde-Larrañaga ◽  
Fátima Chacón-Borrego
Keyword(s):  
Predictive Model ◽  
Information And Communication Technologies ◽  
Goodness Of Fit ◽  
Personal Characteristics ◽  
Communication Technologies ◽  
Negative Effect ◽  
Information And Communication ◽  
Contextual Characteristics ◽  
Adolescent Victims

The development of Information and Communication Technologies has favored access to technological resources in adolescents. These tools provide access to information that can promote learning. However, they can also have a negative effect against people, as they can be used with other functionality, in which cyberbullying situations are caused during the interactions that arise when using social networks. The objective of this study was to determine the predictive value of the role of cyberbullying victims based on variables related to other roles involved in cyberbullying and bullying (aggressors and witnesses), as well as personal characteristics (sex and age), contextual characteristics (type of educational school in which they are attending) and positive teamwork habits. (cooperation, responsibility, dialogue, listening, respect). Information was collected from 227 students of the educational stages of Primary Education and Secondary Education, aged between 11 and 15 years, in a city with a high index of cultural diversity. The step-by-step technique was used to build the regression model. The results indicate that the model has a good goodness of fit coefficient (adjusted R2: 0.574; p &lt; 0.001). The role of cyberbully is the most important predictive variable of the role of the victim in cyberbullying and, to a lesser extent, the role of the witness in cyberbullying, the role of the witness in bullying, and the role of the victim of bullying. The role of the bullying aggressor and the variables sex, age, type of educational center, and teamwork habits are excluded in the predictive model.

scholarly journals Estimating Radar Precipitation in Cold Climates: The role of Air Temperature within a Nonparametric Framework

2018 ◽  
Author(s):  
Kuganesan Sivasubramaniam ◽  
Ashish Sharma ◽  
Knut Alfredsen
Keyword(s):  
Predictive Model ◽  
Air Temperature ◽  
Mean Squared Error ◽  
Radar Reflectivity ◽  
Precipitation Rate ◽  
Cold Climates ◽  
Radar Network ◽  
Precipitation Estimation ◽  
Partial Dependence

Abstract. In cold climates, the form of precipitation (snow or rain or a mixture of snow and rain) results in uncertainty in radar precipitation estimation. Estimation often proceeds without distinguishing the state of precipitation which is known to impact the radar reflectivity–precipitation relationship. In the present study, we investigate the use of air temperature within a nonparametric predictive framework to improve radar precipitation estimation for cold climates. Compared to radar reflectivity–gauge relationships, this approach uses gauge precipitation and air temperature observations to estimate radar precipitation. A nonparametric predictive model is constructed with radar precipitation rate and air temperature as predictor variables, and gauge precipitation as an observed response using a k-nearest neighbour (k-nn) regression estimator. The relative importance of the two predictors is ascertained using an information theory-based rationale. Four years (2011–2015) of hourly radar precipitation rate from the Norwegian national radar network over the Oslo region, hourly gauged precipitation from 68 gauges, and gridded observational air temperature were used to formulate the predictive model and hence make our investigation possible. Gauged precipitation data were corrected for wind induced catch error before using them as true observed response. The predictive model with air temperature as an added covariate reduces root mean squared error (RMSE) by up to 15 % compared to the model that uses radar precipitation rate as the sole predictor. More than 80 % of gauge locations in the study area showed improvement with the new method. Further, the associated impact of air temperature became insignificant at more than 85 % of gauge locations when the temperature was above 10 degrees Celsius, which indicates that the partial dependence of precipitation on air temperature is most important for colder climates alone.

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