scholarly journals Gaze Bias Differences Capture Individual Choice Behavior

2017 ◽  
Author(s):  
Armin W. Thomas ◽  
Felix Molter ◽  
Ian Krajbich ◽  
Hauke R. Heekeren ◽  
Peter N. C. Mohr

AbstractHow do we make simple consumer choices (e.g., deciding between an apple, an orange, and a banana)? Recent empirical evidence suggests a close link between choice behavior and eye movements at the group level, with generally higher choice probabilities for items that were looked at longer during the decision process. However, it is unclear how variable this effect is across individuals. Here, we investigate this question in a multialternative forced-choice experiment using a novel computational model that can be easily applied to the individual participant level. We show that a link between gaze and choice is present for most individuals, but differs considerably in strength, namely, the choices of some individuals are almost independent of gaze allocation, while the choices of others are strongly associated with gaze behavior. Accounting for this variability in our model allows us to explain and accurately predict individual differences in observed choice behavior.

2015 ◽  
Vol 3 (4) ◽  
pp. 431 ◽  
Author(s):  
Mette Kjer Kaltoft ◽  
Jesper Bo Neilsen ◽  
Glenn Salkeld ◽  
Jack Dowie

In person-centred decision making the relative importance of the considerations that matter to the person is elicited and combined, at the point of decision, with the best estimates available on the performance of the available options on those criteria. Whatever procedure is used to implement this in a clinical decision, average preferences emerging from group or subgroup research cannot contribute directly, since they can have only a statistical relationship with the preferences of the individual person. The precise relationship is knowable by eliciting those of the individual concerned, but there would be little point consulting the averages if this is done. A scan of recent Discrete Choice Experiment (DCE) publications reveals frequent claims that the group-level results can somehow contribute to, or facilitate, better clinical decision making. Typically there are only vague or ambiguous indications of how this could happen, the ambiguity often arising from the use and positioning of the apostrophe in the words persons and patients. Only when the person opts out of preference provision and asks to be treated as ‘average’, can the results of a DCE have clinical relevance in genuinely person-centred healthcare. One cannot derive an ought from an is and one cannot derive an I from a they. DCE researchers should refrain from implying that their results could, let alone should, have any impact on person-centred clinical decisions. Group-level DCE results are clearly conceptually appropriate for health system or service decisions, but the suggestion that they have clinical relevance is a serious deterrent to the development and provision of effective means of individual preference elicitation and specification at the point of decision. Those who wish to foster person-centred care should be alert to the dangers of claims based on group-level analyses such as DCEs.  


Author(s):  
Nichola Burton ◽  
Michael Burton ◽  
Dan Rigby ◽  
Clare A. M. Sutherland ◽  
Gillian Rhodes

Abstract A common goal in psychological research is the measurement of subjective impressions, such as first impressions of faces. These impressions are commonly measured using Likert ratings. Although these ratings are simple to administer, they are associated with response issues that can limit reliability. Here we examine best-worst scaling (BWS), a forced-choice method, as a potential alternative to Likert ratings for measuring participants’ facial first impressions. We find that at the group level, BWS scores correlated almost perfectly with Likert scores, indicating that the two methods measure the same impressions. However, at the individual participant level BWS outperforms Likert ratings, both in terms of ability to predict preferences in a third task, and in terms of test-retest reliability. These benefits highlight the power of BWS, particularly for use in individual differences research.


2019 ◽  
Author(s):  
Lukas Spieß ◽  
Harold Bekkering

Meaningful social interactions rest upon our ability to accurately infer and predict other people’s preferences. In doing so, we can separate two sources of information: knowledge we have about the particular individual (individual knowledge) and knowledge we have about the social group to which that individual belongs (categorical knowledge). However, it is yet unclear how these two types of knowledge contribute to making predictions about other people’s choice behavior. To fill this gap, we had participants learn probabilistic preferences by predicting object choices of agents that either belonged to a social group (Group condition) or not (Individual condition). We quantified how close predictions for a specific agent are relative to the objective individual preferences of that agent and how close these predictions are relative to the objective group-level preferences to which that agent belongs. As expected, we found that participants’ predictions in the Group condition, relative to the Individual condition, were more similar to the group-level preference, while less similar to the individual-level preferences. We interpret this pattern of results as indicative of a differential weighting of individual and categorical group knowledge when making predictions about individuals that belong to a social group. The results are interpreted in an assimilation account of categorization and stress the importance of group knowledge during daily social interactions.


2020 ◽  
Author(s):  
Emmanuel Kiiza Mwesiga ◽  
Noeline Nakasujja ◽  
Lawrence Nankaba ◽  
Juliet Nakku ◽  
Seggane Musisi

Introduction: Individual and group level interventions have the largest effect on outcomes in patients with the first episode of psychosis. The quality of these individual and group level interventions provided to first-episode psychosis patients in Uganda is unclear.Methods: The study was performed at Butabika National Psychiatric Teaching and referral hospital in Uganda. A retrospective chart review of recently discharged adult in-patients with the first episode of psychosis was first performed to determine the proportion of participants who received the different essential components for individual and group level interventions. From the different proportions, the quality of the services across the individual and group interventions was determined using the first-Episode Psychosis Services Fidelity Scale (FEPS-FS). The FEPS-FS assigns a grade of 1-5 on a Likert scale depending on the proportion of patients received the different components of the intervention. Results: The final sample included 156 first-episode psychosis patients. The median age was 27 years [IOR (24-36)] with 55% of participants of the female gender. 13 essential components across the individual and group interventions were assessed and their quality quantified. All 13 essential components had poor quality with the range of scores on the FEPS-FS of 1-3. Only one essential component assessed (use of single antipsychotics) had moderate quality.Discussion: Among current services at the National psychiatric hospital of Uganda, the essential for individual and group level interventions for psychotic disorders are of low quality. Further studies are required on how the quality of these interventions can be improved.


2020 ◽  
Author(s):  
Keith Payne ◽  
Heidi A. Vuletich ◽  
Kristjen B. Lundberg

The Bias of Crowds model (Payne, Vuletich, & Lundberg, 2017) argues that implicit bias varies across individuals and across contexts. It is unreliable and weakly associated with behavior at the individual level. But when aggregated to measure context-level effects, the scores become stable and predictive of group-level outcomes. We concluded that the statistical benefits of aggregation are so powerful that researchers should reconceptualize implicit bias as a feature of contexts, and ask new questions about how implicit biases relate to systemic racism. Connor and Evers (2020) critiqued the model, but their critique simply restates the core claims of the model. They agreed that implicit bias varies across individuals and across contexts; that it is unreliable and weakly associated with behavior at the individual level; and that aggregating scores to measure context-level effects makes them more stable and predictive of group-level outcomes. Connor and Evers concluded that implicit bias should be considered to really be noisily measured individual construct because the effects of aggregation are merely statistical. We respond to their specific arguments and then discuss what it means to really be a feature of persons versus situations, and multilevel measurement and theory in psychological science more broadly.


Author(s):  
Jennifer Lackey

Groups are often said to bear responsibility for their actions, many of which have enormous moral, legal, and social significance. The Trump Administration, for instance, is said to be responsible for the U.S.’s inept and deceptive handling of COVID-19 and the harms that American citizens have suffered as a result. But are groups subject to normative assessment simply in virtue of their individual members being so, or are they somehow agents in their own right? Answering this question depends on understanding key concepts in the epistemology of groups, as we cannot hold the Trump Administration responsible without first determining what it believed, knew, and said. Deflationary theorists hold that group phenomena can be understood entirely in terms of individual members and their states. Inflationary theorists maintain that group phenomena are importantly over and above, or otherwise distinct from, individual members and their states. It is argued that neither approach is satisfactory. Groups are more than their members, but not because they have “minds of their own,” as the inflationists hold. Instead, this book shows how group phenomena—like belief, justification, and knowledge—depend on what the individual group members do or are capable of doing while being subject to group-level normative requirements. This framework, it is argued, allows for the correct distribution of responsibility across groups and their individual members.


2021 ◽  
pp. 073563312110308
Author(s):  
Fan Ouyang ◽  
Si Chen ◽  
Yuqin Yang ◽  
Yunqing Chen

Group-level metacognitive scaffolding is critical for productive knowledge building. However, previous research mainly focuses on the individual-level metacognitive scaffoldings in helping learners improve knowledge building, and little effort has been made to develop group-level metacognitive scaffolding (GMS) for knowledge building. This research designed three group-level metacognitive scaffoldings of general, task-oriented, and idea-oriented scaffoldings to facilitate in-service teachers’ knowledge building in small groups. A mixed method is used to examine the effects of the GMSs on groups’ knowledge building processes, performances, and perceptions. Results indicate a complication of the effects of GMSs on knowledge building. The idea-oriented scaffolding has potential to facilitate question-asking and perspective-proposing inquiry through peer interactions; the general scaffolding does not necessarily lessen teachers’ idea-centered explanation and elaboration on the individual level; the task-oriented scaffolding has the worst effect. Pedagogical and research implications are discussed to foster knowledge building with the support of GMSs.


Author(s):  
Katharina Diehl ◽  
Alessia Brassat ◽  
Jennifer Hilger-Kolb

Abstract Background To assess physical activity (PA), a comparative measurement – evaluating one’s own PA compared to others – may be an appropriate method. In previous studies, the use of comparative measurements led to an effect known as unrealistic comparative optimism (UCO) – people being unrealistically optimistic about their behavior. Our aim was to use this comparative measurement in university students to quantify the prevalence of UCO at the group level and to draw conclusions on its validity. Methods We used data from the Nutrition and Physical Activity in Adolescence Study (NuPhA), a cross-sectional online survey that included only self-reports (n = 689). To assess PA among students, they were asked to rate their PA level compared to that of their same-aged fellow students. In addition, we used the Godin-Shephard leisure-time PA questionnaire and other questions on PA for comparisons. We used bivariate and cluster-based analyses to identify potential UCO. Results We found that UCO at the group level led to an uneven distribution, with a higher proportion of students who rated themselves as being more physically active than average. However, the individual assessment of PA with a single and simple comparative question seemed to be valid. Discussion A global single comparative question seems useful for studies where PA is measured as a covariate in university students.


1982 ◽  
Vol 14 (10) ◽  
pp. 1341-1354 ◽  
Author(s):  
K E Haynes ◽  
F Y Phillips

Mathematical programming and statistical inference are combined in a constrained minimum discrimination information (MDI) method to provide a basis for a wide range of spatial and individual choice behavior problems. This approach offers an alternative to linear and loglinear regression estimation methods as well as probabilistic models of the logit and probit variety. Some logical and computational difficulties inherent in these approaches are resolved. Further, the approach leads endogenously to alternative hypotheses if the null hypothesis is rejected, and hence has implications for the interaction between research that is oriented toward theory construction and applied research that is empirically oriented.


2014 ◽  
Vol 18 (3) ◽  
pp. 453-476
Author(s):  
Lauro Gonzalez ◽  
César Righetti ◽  
Luiz Carlos Di Serio

This study aims to evaluate the impact of productive microcredit provided by a microfinance institution linked to a commercial bank by examining a sample of 20,628 customers. Academic literature points to the existence of shared specific characteristics amongst successful microcredit programs, including: (a) the use of a solidarity group, also called a joint debtor, (b) strong female participation, (c) a focus on poor regions, and (d) the presence of a loan officer. This article finds that the female variable is associated with increased income for the individual participant. Women began the program with an average sales value less than men, yet their sales grew exponentially at about 10% with each extension of credit.


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