The Motivating Potential of Leader Behaviors: A Comparison of Two Models1

The motivating potential of leader behaviors was investigated in a comparative test of two models relating leader behaviors, perceived role clarity, psychological influence, perceived self-competence, self-determination, and intrinsic motivation. Based on the data from 422 naval personnel and their immediate supervisors, it would appear that leaders' informational and controlling behaviors influence subordinates' perceptions of role clarity and psychological influence. Self-determination and self-competence also influence these perceptions. Psychological influence increases intrinsic motivation but role clarity influences intrinsic motivation only indirectly through its influence on psychological influence.     

"What if…": The Use of Conceptual Simulations in Scientific Reasoning

The term conceptual simulation refers to a type of everyday reasoning strategy commonly called "what if" reasoning. It has been suggested in a number of contexts that this type of reasoning plays an important role in scientific discovery; however, little direct evidence exists to support this claim. This article proposes that conceptual simulation is likely to be used in situations of informational uncertainty, and may be used to help scientists resolve that uncertainty. We conducted two studies to investigate the relationship between conceptual simulation and informational uncertainty. Study 1 was an in vivo study of expert scientists; the results suggest that scientists do use conceptual simulation in situations of informational uncertainty, and that they use conceptual simulation to make inferences from their data using the analogical reasoning process of alignment by similarity detection. Study 2 experimentally manipulated experts' level of uncertainty and provides further support for the hypothesis that conceptual simulation is more likely to be used in situations of informational uncertainty. Finally, we discuss the relationship between conceptual simulation and other types of reasoning using qualitative mental models.     

L’influence longitudinale de la justice organisationnelle sur le bien-être psychologique au travail : quels types de justice sont déterminants ?

Regarding the relationship between perceived organizational justice and psychological well-being at work, few studies compare the influence of the four organizational justice facets, and even fewer do so longitudinally. The objective of this study is to evaluate the longitudinal relationships between these facets and psychological well-being at work. Social exchange theory suggests that distributive, interpersonal, and informational justices are better predictors of well-being than procedural justice. A sample of 192 Canadian workers from a diversity of occupations completed two self-reported questionnaires at a six-month interval. Results support the importance of rewards allocation (distributive justice) and information given on this allocation (informational justice) to promote workers’ well-being.     

Determinants of Overconfidence and Miscalibration: The Roles of Random Error and Ecological Structure

Previous authors have attributed findings of overconfidence to psychological bias or to experimental designs unrepresentative of the environment. This paper provides evidence for an alternative explanation. A model is presented in which reported confidence is a function of the validity of information used by the subject, and a random error component. The model predicts greater overconfidence for question sets in which informational cues are less valid. This result corresponds to the well-known hard/easy effect. The model also predicts that unrepresentative design (Gigerenzer, Hoffrage, & Kleinbölting, 1991) is sufficient but not necessary for overconfidence to occur. These predictions are tested, and results provide support for the model. Subjects are overconfident according to usual measures such as calibration, even though on average they report the diagnosticity of informational cues correctly. Furthermore, overconfidence is greater for harder sets of questions, even when those sets are representative of the environment. A post hoc analysis reveals some intriguing individual differences among subjects. Some people appear to have a true psychological bias toward reporting high levelsof confidence, whereas others have a psychological bias in the direction of underconfidence.     

Constraints on Analogical Mapping: A Comparison of Three Models

Three theories of analogy have been proposed that are supported by computational models and data from experiments on human analogical abilities. In this article we show how these theories can be unified within a common metatheoretical framework that distinguishes among levels of informational, behavioral, and hardware constraints. This framework clarifies the distinctions among three computational models in the literature: the Analogical Constraint Mapping Engine (ACME), the Structure-Mapping Engine (SME), and the Incremental Analogy Machine (IAM). We then go on to develop a methodology for the comparative testing of these models. In two different manipulations of an analogical mapping task we compare the results of computational experiments with these models against the results of psychological experiments. In the first experiment we show that increasing the number of similar elements in two analogical domains decreases the response time taken to reach the correct mapping for an analogy problem. In the second psychological experiment we find that the order in which the elements of the two domains are presented has significant facilitative effects on the ease of analogical mapping. Of the three models, only IAM embodies behavioral constraints and predicts both of these results. Finally, the immediate implications of these results for analogy research are discussed, along with the wider implications the research has for cognitive science methodology.     

Teachers’ Use of and Attitudes Toward Informational Text in K–5 Classrooms

The purposes of this research were (a) to understand the frequency with which K–5 teachers use informational text in their routine classroom instruction, (b) to understand the percentage of informational text in classroom libraries, and (c) to explore teachers’ attitudes about informational text. Survey data of 318 participants indicated that K–5 teachers used an average of 31.55 minutes (SD = 22.24) of informational text per day and that classroom libraries consisted of an average of 32.77% (SD = 14.16) of informational text. Participants were overwhelmingly positive about the instructional value of informational text but also reported that a lack of time, a lack of resources, and curricular limitations restricted their use of informational text. Implications on how to increase the use of informational text in K–5 classrooms are provided.     

Not Only But Also

Since the early years of psychological research, investigators in psychology have made use of mathematical models of psychological phenomena. Models are now routinely used to represent and study cognitive processes, the structure of psychological measurements, the structure of correlational relationships among variables, the nature of change over time, and many other topics and phenomena of interest. All of these models, in their attempt to provide a parsimonious representation of psychological phenomena, are wrong to some degree and are thus implausible if taken literally. Such models simply cannot fully represent the complexities of the phenomena of interest and at best provide an approximation of the real world. This imperfection has implications for how we specify, estimate, and evaluate models, and how we interpret results of fitting models to data. Using factor analysis and structural equation models as a context, I examine some implications of model imperfection for our use of models, focusing on formal specification of models; the nature of parameters and parameter estimates; the relevance of discrepancy functions; the issue of sample size; the evaluation, development, and selection of models; and the conduct of simulation studies. The overall perspective is that our use and study of models should be guided by an understanding that our models are imperfect and cannot be made to be exactly correct.     

Connections Among Identity,Attachment, and Psychological Dating Aggression During Adolescence

The collective influence of identity styles and romantic attachment insecurity on psychological dating aggression was examined for 1,975 adolescents living in a southern state in the United States. Informational identity style related negatively to psychological dating aggression, but anxious romantic attachment related positively to this behavior. Diffuse-avoidant identity style and using psychological dating aggression were associated positively, whereas normative identity style and receiving psychological dating aggression were associated negatively. In addition, the combination of high informational or normative identity style with high avoidant romantic attachment was linked to lower psychological dating aggression. Our findings build on the previously noted parallelism between identity styles and romantic attachment insecurity by showing how they work together to explain variability in psychological dating aggression.     

心理与教育测验中反应时模型应用的优势与举例

基于计算机形式的测验使得收集作答反应时信息成为可能,这些信息的有效利用对心理与教育测验的理论研究和实际应用产生了重大影响。首先,归纳并总结了测验中使用反应时信息的五大优势。其次,分别介绍了4种不同取向下较典型的反应时模型与模型特征,并分别进行评价。再次,较系统地梳理了反应时模型在实践中的应用,使读者了解反应时信息在测验中所发挥的作用。最后,探讨了未来将反应时应用于心理与教育测量领域的几个研究方向。     

The recall and use of belief statements as bases for judgments: Some determinants and implications

When people are asked to report their beliefs in a (target) statement, they may search memory for other, “informational” propositions that bear on its validity, and may use their beliefs in these propositions as bases for their judgments. Several factors were hypothesized to affect the particular propositions that subjects are likely to recall under such conditions. Subjects first familiarized themselves with a list of informational and target propositions. Then, they reported either their beliefs in these propositions or their attitudes toward them. In a second session 1 week later, they recalled as many of the propositions as they could. Both informational and target statements were better recalled when the informational propositions were unlikely to be true. In addition, the target statements were better recalled when the informational propositions associated with them had unclear implications for their validity. Recall of one proposition was more likely to cue the recall of the other when subjects had previously reported belief in the target proposition (rather than attitudes toward it). However, it was more likely to occur when subjects had reported attitudes toward the informational proposition (rather than beliefs in it). The effects of these variables were interpreted in terms of their mediating influence on the strength of association between the informational proposition and both (a) the target proposition and (b) contextual and environmental cues in the situation where target beliefs are reported.     

Assessing the theoretical models for sex differences in causal attributions for success and failure

Three basic models of attributional sex differences are reviewed: General Externality, Self-Derogation, and Low Expectancy. Although all of the models predict that women are unlikely to attribute their successes to ability, the models were quite different in other predictions. A meta-analysis of 21 studies examining sex differences in success-failure attributions was done to determine which of these three models had the most empirical support. Wording of attribution questions was also assessed. Results indicated only two consistent sex differences: Men make stronger ability attributions than women regardless of the outcome when informational attributional wording is used; and men attribute their successes and failures less to luck. Empirically, none of the models was well supported.     

Spatial frequencies in short-term memory for faces: A test of three frequency-dependent hypotheses

Spatial frequency manipulations have been shown to have significant utility in ascertaining the various types of information that might be important in object identification and recognition tasks. This utility suggests that, given some mapping between ranges of spatial frequencies and different types of psychological information, it should be possible to examine the roles of these different types of psychological information by way of spatial frequency manipulations. One potential problem, however, is that there is no well-specified, unambiguous mapping between the distinctions in the frequency domain and the distinctions in the informational domain. Three experiments provide tests of three general hypotheses regarding the ways in which different spatial frequencies might map to different information in facial perception and memory tasks: (1) the low-frequency dominance hypothesis, which proposes that low-frequency information should be superior (to high-frequency information) as a cue to perception and memory; (2) the distinct informational roles hypothesis, which holds that high spatial frequencies should carry featural information while low spatial frequencies should carry information about the configuration of those features; and (3) the task-dependent information hypothesis, which suggests that high-frequency information should be best suited to discrimination tasks while low-frequency information should be best suited for recognition tasks. Results generally contradict the first two of these hypotheses, while providing support for the third. Implications with regard to the various issues related to the mapping between spatial frequencies and the informational content of faces, as well as the need to consider important interactions among perceptual and memory processes, are discussed.     

Bayesian Fundamentalism or Enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition

The prominence of Bayesian modeling of cognition has increased recently largely because of mathematical advances in specifying and deriving predictions from complex probabilistic models. Much of this research aims to demonstrate that cognitive behavior can be explained from rational principles alone, without recourse to psychological or neurological processes and representations. We note commonalities between this rational approach and other movements in psychology - namely, Behaviorism and evolutionary psychology - that set aside mechanistic explanations or make use of optimality assumptions. Through these comparisons, we identify a number of challenges that limit the rational program's potential contribution to psychological theory. Specifically, rational Bayesian models are significantly unconstrained, both because they are uninformed by a wide range of process-level data and because their assumptions about the environment are generally not grounded in empirical measurement. The psychological implications of most Bayesian models are also unclear. Bayesian inference itself is conceptually trivial, but strong assumptions are often embedded in the hypothesis sets and the approximation algorithms used to derive model predictions, without a clear delineation between psychological commitments and implementational details. Comparing multiple Bayesian models of the same task is rare, as is the realization that many Bayesian models recapitulate existing (mechanistic level) theories. Despite the expressive power of current Bayesian models, we argue they must be developed in conjunction with mechanistic considerations to offer substantive explanations of cognition. We lay out several means for such an integration, which take into account the representations on which Bayesian inference operates, as well as the algorithms and heuristics that carry it out. We argue this unification will better facilitate lasting contributions to psychological theory, avoiding the pitfalls that have plagued previous theoretical movements.     

A Social Learning Approach to Increasing Blood Donations1

A field experiment conducted in high schools throughout the country was aimed at increasing the number of high school students who donate blood. Special interventions that emphasized psychological or educational approaches to heightening motivation to donate, as well as a combined intervention, were compared with the usual approach taken at blood drives. Psychological interventions in which social learning principles (modeling, perceptions of social norms) played important roles either alone or in combination with an educational (informational) approach were more successful in stimulating blood donations than either an educational approach alone or the approaches traditionally followed by the participating local blood centers. The results demonstrated that use of social learning principles in designing interventions to strengthen socially relevant altruistic behavior could be valuable both practically and theoretically.     

Associative memory and the medial temporal lobes

Associative recognition and recall depend on structures in the medial temporal lobes (MTLs). There is disagreement about whether associative memory is functionally heterogeneous, whether it is functionally distinct from intra-item associative memory and how the MTLs contribute to this kind of memory. Despite an increase in research on associative memory, work has lacked a theoretical framework to guide design and interpretation of studies. One view provides a useful framework by postulating that associative memories differ in the degree to which their informational components converge in MTL structures that create familiarity-supporting or recollection-supporting memory representations. Using this framework, we consider psychological, lesion and functional imaging evidence, highlighting how informational convergence in the brain underlies the associative nature of both memory and perception.     

Distraction and facilitation--two faces of the same coin?

Unexpected and task-irrelevant sounds can capture our attention and may cause distraction effects reflected by impaired performance in a primary task unrelated to the perturbing sound. The present auditory-visual oddball study examines the effect of the informational content of a sound on the performance in a visual discrimination task. The informational content was modulated by varying the sound-target interval and the probability of target occurrence. Effects of informational content were examined with two types of distractors: a burst of white noise (deviant) and environmental sounds (novel). Behavioral results reveal the following. (1) Novel and deviant sounds do not necessarily cause behavioral distraction effects when they are uninformative with respect to both time and probability of occurrence of a visual target. (2) Novel, but not deviant, sounds cause an unspecific bias toward facilitation. (3) The informational content of task-irrelevant sounds speeds reaction times, indicating the use of information not directly related to the task for enhancing performance. (4) It is suggested that performance in deviant and novel trials is the sum of the costs of attentional orienting and benefits of information as well as benefits of unspecific activation for novels.     

The mediation of mothers' self-fulfilling effects on their children's alcohol use: self-verification, informational conformity, and modeling processes

This research examined whether self-fulfilling prophecy effects are mediated by self-verification, informational conformity, and modeling processes. The authors examined these mediational processes across multiple time frames with longitudinal data obtained from two samples of mother-child dyads (N-sub-1 = 486; N-sub-2 = 287), with children's alcohol use as the outcome variable. The results provided consistent support for the mediational process of self-verification. In both samples and across several years of adolescence, there was a significant indirect effect of mothers' beliefs on children's alcohol use through children's self-assessed likelihood of drinking alcohol in the future. Comparatively less support was found for informational conformity and modeling processes as mediators of mothers' self-fulfilling effects. The potential for self-fulfilling prophecies to produce long-lasting changes in targets' behavior via self-verification processes are discussed.     

Informational versus functional theories of scientific representation

Recent work in the philosophy of science has generated an apparent conflict between theories attempting to explicate the nature of scientific representation. On one side, there are what one might call ‘informational’ views, which emphasize objective relations (such as similarity, isomorphism, and homomorphism) between representations (theories, models, simulations, diagrams, etc.) and their target systems. On the other side, there are what one might call ‘functional’ views, which emphasize cognitive activities performed in connection with these targets, such as interpretation and inference. The main sources of the impression of conflict here are arguments by some functionalists to the effect that informational theories are flawed: it is suggested that relations typically championed by informational theories are neither necessary nor sufficient for scientific representation, and that any theory excluding functions is inadequate. In this paper I critically examine these arguments, and contend that, as it turns out, informational and functional theories are importantly complementary.     

Social support and psychological well-being in young adults: the multi-dimensional support scale

A large sample (N = 483) of community-living adults (M age = 23.6 years) responded to questions about the frequency and adequacy of emotional, practical, and informational support during the past month from three sources-confidants, peers, and supervisors-using the Multi-Dimensional Support Scale. Factor analysis was used to distinguish meaningful regularities in item responses, and the resulting five scales have high internal reliability. Scores correlated significantly with measures of self-esteem, depressive affect, and psychological disturbance according to the General Health Questionnaire. To investigate what contribution support measures could make to the prediction of psychological well-being, hierarchical regression analyses were carried out with stressors entered first and support scores entered second. As expected, respondents' psychological well-being was related to their level of life stress; however, the addition of social support measures doubled the explained variance in measures of psychological well-being. The support measure with the strongest association with well-being was the frequency of supportive behaviors toward the respondent by close family and friends.     

Elucidating the association of sports lottery bettors’ socio-demographics,personality traits,risk tolerance and behavioural biases

The goal of this study was to explore the psychological and socio-demographic factors of bettors that are associated with the herding behaviour of sports lotteries through a combination of interdisciplinary perspectives. The multidimensional instrument consisted of five-factor personality inventory, the measures of risk tolerance and two types of herding behaviours, betting patterns and socio-demographics was developed, and then nationwide on-site bettors (n = 1032) responded to the questionnaire to conduct a structural equation modelling (SEM) analysis through stratified proportional random sampling and quota sampling methods. The confirmatory factor analysis (CFA) revealed that two structural models displayed goodness-of-fit with respect to the data. Empirical results confirmed the existence of herding behaviours and a gender difference in sports lottery betting. The bettors with neuroticism have lower risk tolerance, and the bettors with greater neuroticism, openness and agreeableness exhibit apparent normative herding behaviours. However, the risk tolerance has only a positively and significantly prediction for informational herding behaviour.