The personality traits of liked people

There is surprisingly little understanding of how personality traits are associated with being generally liked by others after adolescence (Ozer & Benet-Martinez, 2006). We examined the relationship between self-reported personality traits and being generally liked in young adulthood in Greek organizations and freshman dormitories. We found a high level of consistency in which traits were associated with being liked. We examined the relationship between liked and socially desirable traits, using a recent theory on agency and communion (Wojciszke, Abele, & Baryla, 2009). Results help to create a personality profile of the person who is more liked by others, especially pointing to the importance of communal characteristics that are associated with behavior benefiting others.     

Estimating Religious Populations with the Network Scale‐Up Method: A Practical Alternative to Self‐Report

Getting accurate information on religious demographics from survey‐based self‐reports presents a difficult task, suffering from the biases of social desirability, personal safety concerns, and the ambiguous definitions of religious identity. The network scale‐up method (NSUM) is an estimation strategy based on the enumeration of social network ties. NSUM has recently been employed to estimate the sizes of hidden populations in criminology and public health, but it has not been utilized in the study of religion. In this study, we argue for the advantages of NSUM in overcoming the biases associated with self‐reports and lay out a practical guide for the scholars of religion to the design and calculation of NSUM. We use a recent survey of Chinese international students to illustrate the use of NSUM and estimate the percentage of Buddhists (4.3 percent) and Christians (8.6 percent) in this population. We recommend interested scholars to adopt NSUM for its reliability, easy implementation, and the affinity between the sociological perspective on religion and the socially‐oriented assumption of NSUM.     

Stimulus competition in pre/post and online ratings in an evaluative learning design

Evaluative learning is said to differ from Pavlovian associative learning in that it reflects stimulus contiguity, not contingency. Thus, evaluative learning should not be subject to stimulus competition, a proposal tested in the current experiments. Participants were presented in elemental and compound training phases with pictures of shapes as CSs. Each shape/pair of shapes was followed by a picture of a happy or an angry face as the US. In Experiments 1 and 2, evaluative ratings were collected before and after the experiment, and, in Experiment 3, participants provided evaluations online. Stimulus competition was evident in all experiments confirming that evaluative learning is sensitive to stimulus contingencies.     

Les travailleurs handicapés sont-ils perçus comme des travailleurs compétents ?

Building on recent research in the area of social judgment, this paper examines how persons with disability are evaluated in a professional context. In three studies, participants without disability had to rate persons with or without disability, with or without a job, on traits reflecting the fundamental dimensions of social judgment (social desirability and social utility). Our results showed that persons with disability were systematically judged more negatively on social utility, but more positively on social desirability than persons without disability. Focusing on social utility, persons with disability were perceived as less competent, but more courageous than persons without disability. These results are discussed with regard to chances of persons with disability to succeed in the workplace.     

Modeling of variables related to problematic social media usage: Social desirability tendency example

Social media usage has been popular for the last decade. Individuals use their social media environments for various reasons such as to socialize, play games, have fun and share posts. Overuse of these environments may lead to negative psychological and behavioral consequences for individuals. Additionally, it increases the worries about potential addicted/problematic use of social media. In this study, it is aimed to determine the level of problematic social media usage of participants who are active social media users and to analyze the relationships between problematic social media usage and various personal characteristics and social variables. Study in relational screening model is carried out with the participation of 580 volunteers. Partial least squares (PLS) structural equation modeling is used to analyze the data obtained through various scale according to the research model. The structural equation modeling analysis shows that there is a significant relationship between problematic social media usage and the daily time of social media usage, the use of frequency of social media for recognition, publicity, communication/interaction and education, loneliness, and social anxiety. The variable which shows higher correlation between problematic social media usage is social anxiety.     

Generalization of conditioned fear-potentiated startle in humans: experimental validation and clinical relevance

Though generalization of conditioned fear has been implicated as a central feature of pathological anxiety, surprisingly little is known about the psychobiology of this learning phenomenon in humans. Whereas animal work has frequently applied methods to examine generalization gradients to study the gradual weakening of the conditioned-fear response as the test stimulus increasingly differs from the conditioned stimulus (CS), to our knowledge no psychobiological studies of such gradients have been conducted in humans over the last 40 years. The current effort validates an updated generalization paradigm incorporating more recent methods for the objective measurement of anxiety (fear-potentiated startle). The paradigm employs 10, quasi-randomly presented, rings of gradually increasing size with extremes serving as CS+ and CS−. The eight rings of intermediary size serve as generalization stimuli (GSs) and create a continuum-of-similarity from CS+ to CS−. Both startle data and online self-report ratings demonstrate continuous decreases in generalization as the presented stimulus becomes less similar to the CS+. The current paradigm represents an updated and efficacious tool with which to study fear generalization—a central, yet understudied conditioning-correlate of pathologic anxiety.     

社会称许性量表的测量等价性探讨

若观测变量和潜在特质之间的关系在相比较的群体之间等同,就称该量表具备测量等价性。测量工具满足测量等价性的要求是进行组间差异比较的前提条件。该文首先明确测量等价性的概念及在结构方程模型中所要满足的5个条件,然后以社会称许性的性别差异为例,阐述测量等价性检验和建立的方法。结果表明,男性群体和女性群体的测量等价。文章最后讨论了该研究的理论意义和不足之处。     

A new definition of well-behaved discrimination functions

A discrimination function shows the probability or degree with which stimuli are discriminated from each other when presented in pairs. In a previous publication [Kujala, J.V., & Dzhafarov, E.N. (2008). On minima of discrimination functions. Journal of Mathematical Psychology, 52, 116–127] we introduced a condition under which the conformity of a discrimination function with the law of Regular Minimality (which says, essentially, that “being least discriminable from” is a symmetric relation) implies the constancy of the function’s minima (i.e., the same level of discriminability of every stimulus from the stimulus least discriminable from it). This condition, referred to as “well-behavedness,” turns out to be unnecessarily restrictive. In this note we give a significantly more general definition of well-behavedness, applicable to all Hausdorff arc-connected stimulus spaces. The definition employs the notion of the smallest transitively and topologically closed extension of a relation. We provide a transfinite-recursive construction for this notion and illustrate it by examples.     

Regular Minimality and Thurstonian-type modeling

A Thurstonian-type model for pairwise comparisons is any model in which the response (e.g., “they are the same” or “they are different”) to two stimuli being compared depends, deterministically or probabilistically, on the realizations of two randomly varying representations (perceptual images) of these stimuli. The two perceptual images in such a model may be stochastically interdependent but each has to be selectively dependent on its stimulus. It has been previously shown that all possible discrimination probability functions for same–different comparisons can be generated by Thurstonian-type models of the simplest variety, with independent percepts and deterministic decision rules. It has also been shown, however, that a broad class of Thurstonian-type models, called “well-behaved” (and including, e.g., models with multivariate normal perceptual representations whose parameters are smooth functions of stimuli) cannot simultaneously account for two empirically plausible properties of same–different comparisons, Regular Minimality (which essentially says that “being least discriminable from” is a symmetric relation) and nonconstancy of the minima of discrimination probabilities (the fact that different pairs of least discriminable stimuli are discriminated with different probabilities). These results have been obtained for stimulus spaces represented by regions of Euclidean spaces. In this paper, the impossibility for well-behaved Thurstonian-type models to simultaneously account for Regular Minimality and nonconstancy of minima is established for a much broader notion of well-behavedness applied to a much broader class of stimulus spaces (any Hausdorff arc-connected ones). The universality of Thurstonian-type models with independent perceptual images and deterministic decision rules is shown (by a simpler proof than before) to hold for arbitrary stimulus spaces.     

Equity Sensitivity Revisited: Contrasting Unidimensional and Multidimensional Approaches

Purpose  Past research has shown little support for direct relationships between equity sensitivity and various equity-relevant criteria. Recent work by Davison and Bing (J Manag Issues 20: 131–150, 2008) suggests that equity sensitivity consists of separate input- and outcome-focus dimensions and that these dimensions are associated with such criteria in an interactive fashion. The current study extends this research by theoretically strengthening and empirically testing their two-dimensional model. Design/methodology/approach  We surveyed adults who were working at least 30 h a week at three time periods to temporally separate measurement of predictors and criteria (n = 172). Findings  Results provide support for the two-dimensional model. Input and outcome focus interacted to explain variance in individuals’ satisfaction and self-reported job performance even after controlling for demographic characteristics, personality, and social desirability. By contrast, the original ESI only significantly predicted one of 10 dependent variables. Implications  Whereas a ratio has been historically used as the basis for evaluating equity, employing independent dimensions and investigating their interaction seems more appropriate to assess individuals’ equity sensitivity. The current study suggests a multidimensional measure of equity sensitivity may better reflect the original theoretical underpinnings of the construct. Originality/value  The current study enhances our understanding of equity theory in general, and equity sensitivity in particular, by drawing attention to the multidimensional nature of the equity sensitivity construct. In particular, it extends the work of Davison and Bing (J Manag Issues 20: 131–150, 2008) by revisiting Huseman et al.’s (Acad Manag Rev 12: 222–234, 1987) original conceptualization of equity sensitivity. In doing so, we broaden its utility as a potential unique predictor of organizationally relevant criteria.