On the importance of distinguishing between within- and between-subject effects in intransitive intertemporal choice

Most probabilistic paired comparison models treat inconsistent choices as caused by independent and random errors in the pairwise judgments. In this paper, we argue that this assumption is too restrictive for the analysis of paired comparison data obtained from multiple judges when transitivity violations are systematic. We present a new framework that contains the random error assumption as a special case but also allows for systematic changes in an option's utility assessments over the pairwise comparisons. Accounting for both between- and within-judge sources of variability, we demonstrate in an application on intertemporal choice that the proposed framework can capture systematic transitivity violations as well as individual taste differences.     

Assessing vocational interests in the Basque Country using paired comparison design

This article proposes the Thurstonian paired comparison model to assess vocational preferences and uses this approach to evaluate the Realistic, Investigative, Artistic, Social, Enterprise, and Conventional (RIASEC) model in the Basque Country (Spain). First, one unrestricted model is estimated in the Structural Equation Modelling framework using one paired comparison design. Secondly, the RIASEC circumplex structure is evaluated upon the estimated latent preferences correlation matrix. The results show good fit between the Thurstonian model and the data, but do not confirm the RIASEC structure in the Basque population.     

Classroom climate and students' goal preferences: a cross-cultural comparison

Goal preferences indicate intentions to achieve or avoid particular states. We examined whether Curacaoan and Dutch students differ in goal preferences related to school and whether goal preferences are associated with students' evaluation of the classroom climate. Measurement invariance of the instruments was also tested between samples. Participants attended vocational high schools in Curacao ( N = 276) or in the Netherlands ( N = 283). Both the classroom climate and goal preferences differed between the samples. In the Netherlands the preference for individuality, belongingness, and recognition was stronger, whereas in Curacao mastery, satisfaction, self-determination, and material gain were more frequently endorsed. The two variables were modestly correlated. Schools do have a globalizing effect on students' school experiences and hardly adapt to goal preferences. The latter seem to be affected by non-school related cultural factors.     

Examining business students' career preferences: A perceptual space approach

A methodology for examining career preferences is proposed. The method uses perceptual mapping techniques and external preference analysis to assess the attributes individuals believe are important. The results of a study undertaken to test the methodology are reported and it appears that such results can be useful in analyzing reasons for career preferences.     

Modelling pedestrian crossing behaviour in urban roads: A latent variable approach

As pedestrians are the most exposed and vulnerable road users to traffic accidents, urban planners frequently propose alternatives to improve their safety. However, some solutions, such as pedestrian bridges and crosswalks at signalized intersections, usually imply longer walking distances compared to the direct crossing alternative which, in its turn, involves a higher risk.In this article, a hybrid framework is proposed to analyse the pedestrians’ choice on how to cross an urban road where three crossing options are available: crossing directly, crossing by using a pedestrian bridge or using a crosswalk at a signalized intersection. The decision process is modelled as a discrete choice model incorporating latent variables to consider perceptions and psychological factors, using stated preference data coming from a survey applied in Bogotá, Colombia.Results show that the latent variables security/safety and attractiveness of each crossing alternative are relevant to understand the pedestrian crossing behaviour. These latent variables are strongly determined by socioeconomic characteristics of the individual (age, gender, level of study) and conditioned by the circumstances of the trip (main mode of transport, walking or not with children). It was found that a longer walking distance to a pedestrian bridge or a signalized crosswalk increases the probability of direct crossing, having a more relevant effect in the case of the pedestrian bridge.     

Split identity: intransitive judgments of the identity of objects

Identity is a transitive relation, according to all standard accounts. Necessarily, if x = y and y = z, then x = z. However, people sometimes say that two objects, x and z, are the same as a third, y, even when x and z have different properties (thus, x = y and y = z, but x ≠ z). In the present experiments, participants read stories about an iceberg that breaks into two icebergs, one to the east and the other to the west. Many participants (32–54%, in baseline conditions across experiments) decided that both successors were the original iceberg, despite the different spatial locations of the successors. Experiment 1 shows that this tendency is not due to participants failing to understand both to mean both are simultaneously the original. Similarly, Experiment 2 demonstrates that the tendency is not solely due to their interpreting the question to be about properties of the icebergs rather than about the icebergs themselves. Experiments 3 and 4 suggest, instead, that participants may understand Which is the original? to mean Which, in its own right, is entitled to be the original? Emphasizing entitlement increases the number of seemingly intransitive responses, whereas emphasizing the formal properties of identity decreases them.     

Loss context enhances preferences for generosity but reduces preferences for honesty: Evidence from a combined behavioural-computational approach

The current literature has revealed mixed evidence on whether loss (vs. gain) context promotes or curtails human prosociality. The current study (N=96) aimed to address this issue by examining whether gain/loss context has distinct effects on different prosocial preferences combining computational modelling with Dictator Game and Message Game. These interactive games allow for dissociating preferences for generosity and honesty, which have been respectively associated with intuitive and deliberative systems. Our behavioural and computational modelling results indicate that loss context enhances concerns for generosity but reduces concerns for honesty. These findings support an account under the framework of dual process model asserting that loss facilitates intuitive responses during social decision-making, regardless of whether they are prosocial or proself. The current findings reconcile previous debates on the relationship between loss-gain context and human prosociality and shed light on the design of institutions to promote human prosocial behaviours.     

Typical coping patterns: A person-centered approach to coping

Applying the person-oriented approach to coping can provide a unique perspective by revealing typical latent patterns. The study examined typical latent patterns shown by task-, emotion- and avoidance-oriented trait-based coping styles. We performed secondary analyses with Latent Profile Analysis on our former data and three independent datasets containing coping measures with the CISS-48 scale (Endler & Parker, 1994). Gender differences were also studied. Two basic profiles seem universal: the first is characterized by a high level of task-oriented coping, and the second profile is with moderately high scores on all three coping styles. The finding indicates that two fundamental latent coping profiles exist, which suggests a within-subject comparison in practice instead of investigating the absolute value of coping styles. Comparing data before and after 2020, COVID-19 does not seem to affect these profiles. The person-centered approach provides a possibility for the integration of coping-related findings.     

Contrast effects in typicality judgements: A hierarchical Bayesian approach

We examine the influence of contrast categories on the internal graded membership structure of everyday concepts using computational models proposed in the artificial category learning tradition. In particular, the generalized context model (Nosofsky, 1986), which assumes that only members of a given category contribute to the typicality of a category member, is contrasted to the similarity–dissimilarity generalized context model (SD-GCM; Stewart & Brown, 2005), which assumes that members of other categories are also influential in determining typicality. The models are compared in a hierarchical Bayesian framework in their account of the typicality gradient of five animal categories and six artefact categories. For each target category, we consider all possible relevant contrast categories. Three separate issue are examined: (a) whether contrast effects can be found, (b) which categories are responsible for these effects, and (c) whether more than one category influences the typicality. Results indicate that the internal category structure is codetermined by dissimilarity towards potential contrast categories. In most cases, only a single contrast category contributed to the typicality. The present findings suggest that contrast effects might be more widespread than has previously been assumed. Further, they stress the importance of characteristics particular of everyday concepts, which require careful consideration when applying computational models of representation of the artificial category learning tradition to everyday concepts.     

Motivation modulates the effect of approach on implicit preferences

With three studies, we investigated whether motivational states can modulate the formation of implicit preferences. In Study 1, participants played a video game in which they repeatedly approached one of two similar beverages, while disregarding the other. A subsequent implicit preference for the target beverage emerged, which increased with participants’ thirst. In Study 2, participants approached one brand of potato chips while avoiding the other: Conceptually replicating the moderation observed in Study 1, the implicit preference for the approached brand increased with the number of hours from last food intake. In Study 3, we experimentally manipulated hunger, and the moderation effect emerged again, with hungry participants displaying a higher implicit preference for the approached brand, as compared to satiated participants. In the three studies, the moderation effect was not paralleled in explicit preferences although the latter were affected by the preference inducing manipulation. Theoretical implications and open questions are discussed.     

Comparing the perceived causes of the second Iraq war: a network analysis approach

The objective of this research was to examine the representation by British students of 11 perceived causes of the invasion of Iraq. We used network analysis to develop a network of the pattern of causes that are involved. Overall most participants identified a nexus of causes that reciprocally linked religious prejudice, racism and the history of conflict in the Middle East. They identified a reciprocal link between religious prejudice and September 11th, indicating that it was a cause and effect of religious prejudice. They also supported a link between the personalities of Bush and Saddam and economic gain, and acknowledged the effect of the first Gulf war on Saddam. We also found that Muslim participants were significantly less in favour of the invasion than Christian participants, and produced different networks of the links between causes. The study demonstrates that network analysis can be used to compare and contrast representations of a political event, and thus extends its use in the study of social representations. Aggr. Behav. 32:321–329, 2006. © 2006 Wiley‐Liss, Inc.     

Modelling partially cross‐classified multilevel data

This article proposes an approach to modelling partially cross‐classified multilevel data where some of the level‐1 observations are nested in one random factor and some are cross‐classified by two random factors. Comparisons between a proposed approach to two other commonly used approaches which treat the partially cross‐classified data as either fully nested or fully cross‐classified are completed with a simulation study. Results show that the proposed approach demonstrates desirable performance in terms of parameter estimates and statistical inferences. Both the fully nested model and the fully cross‐classified model suffer from biased estimates of some variance components and statistical inferences of some fixed effects. Results also indicate that the proposed model is robust against cluster size imbalance.     

A new goodness-of-fit measure for probit models: Surrogate R2

Probit models are used extensively for inferential purposes in the social sciences as discrete data are prevalent in a vast body of social studies. Among many accompanying model inference problems, a critical question remains unsettled: how to develop a goodness-of-fit measure that resembles the ordinary least square (OLS) R² used for linear models. Such a measure has long been sought to achieve ‘comparability’ of different empirical models across multiple samples addressing similar social questions. To this end, we propose a novel R² measure for probit models using the notion of surrogacy – simulating a continuous variable $S$ as a surrogate of the original discrete response (Liu & Zhang, Journal of the American Statistical Association, 113, 845 and 2018). The proposed R² is the proportion of the variance of the surrogate response explained by explanatory variables through a linear model, and we call it a surrogate R². This paper shows both theoretically and numerically that the surrogate R² approximates the OLS R² based on the latent continuous variable, preserves the interpretation of explained variation, and maintains monotonicity between nested models. As no other pseudo R², McKelvey and Zavoina's and McFadden's included, can meet all the three criteria simultaneously, our measure fills this crucial void in probit model inference.     

A note on dual scaling of successive categories data

Three methods for dual scaling of successive categories data are formulated. They are mathematically equivalent, and provide an appropriate technique to determine stimulus values and category boundaries on a joint scale, a problem that Nishisato's method (1980a) failed to handle. This study was supported by the Natural Sciences and Engineering Research Council of Canada (Grant No. A7942) to S. Nishisato. Comments on the earlier draft from anonymous reviewers were most helpful and much appreciated.     

A maximum likelihood approach to test validation with missing and censored dependent variables

A maximum likelihood approach is described for estimating the validity of a test (x) as a predictor of a criterion variable (y) when there are both missing and censoredy scores present in the data set. The missing data are due to selection on a latent variable (y _s ) which may be conditionally related toy givenx. Thus, the missing data may not be missing random. The censoring process in due to the presence of a floor or ceiling effect. The maximum likelihood estimates are constructed using the EM algorithm. The entire analysis is demonstrated in terms of hypothetical data sets.     

社会比较研究的现状与发展趋势

社会比较是人类普遍存在的一种社会现象,在西方关于社会比较的研究已经成为心理学界的一个重要课题。该文从社会比较的概念、类型、动机和策略等几个方面,回顾了国外近50年来研究者关于社会比较的研究脉络;最后,在回顾近几年研究的基础上对社会比较的未来研究趋势进行了展望。     

A multimethod approach to examining usability of Web privacy polices and user agents for specifying privacy preferences

Because all research methods have strengths and weaknesses, a multimethod approach often provides the best way to understand human behavior in applied settings. We describe how a multimethod approach was employed in a series of studies designed to examine usability issues associated with two aspects of online privacy: comprehension of privacy policies and configuration of privacy preferences for an online user agent. Archival research, user surveys, data mining, quantitative observations, and controlled experiments each yielded unique findings that, together, contributed to increased understanding of online-privacy issues for users. These findings were used to evaluate the accessibility of Web privacy policies to computer-literate users, determine whether people can configure user agents to achieve specific privacy goals, and discover ways in which the usability of those agents can be improved.     

Millennials' changing mobility preferences: A telecommuting case in Istanbul

Daily mobility behaviors, especially in cities with high traffic density, are among the most fundamental drivers of quality of life. Obligatory commuting necessitates individuals sacrificing their time, money, and geographic freedom to ensure their mobility. The personal cost of fatigue, stress, and environmental cost of carbon emissions is likewise substantial. The COVID-19 pandemic led to a widespread shift to telecommuting. The pandemic has permitted an unprecedented opportunity to study Millennials' attitudes towards commuting and telecommuting. A semi-structured interview method was used with Millennial (now the largest percentage of the workforce) white-collar (disproportionately able to do their work remotely) workers living in the megacity of Istanbul to understand how telecommuting has altered consumer commuting habits, values, preferences, and well-being. The results of this study show that Millennial white-collar workers in Istanbul see compulsory commuting as a waste of time, a stress factor, and an unwanted task. The shift towards telecommuting lowered the Millennials' tolerance for traffic and long commutes and reveals willingness for immobility at peak hours and appreciation of spatial independence as a lifestyle that increases quality of life. The need for understanding transport decisions has never been more pressing with the growth of megacities and the climate change crisis. This research has important implications for white-collar employees and their employers, as well as academics and public policy makers, who seek to understand mobility preferences and lifestyles of different generations and the environmental implications in a dynamic environment.