决策信心在信息化从众中的作用

研究采用JAS范式,通过操纵群体信息的性质（支持和反对）以及一致性程度,考察了决策信心在信息化从众过程中的作用。结果表明：（1）个体仅在接收到反对信息时会发生决策的偏转,表现出从众;（2）群体参照信息能够显著影响个体的信心：支持性的群体信息使个体的信心显著增高,而反对性的群体信息使信心显著降低,且表现出一种“负性偏向”（即个体对来自群体的负性信息更加敏感）;（3）在反对条件下,个体信心降低的程度能够很好地预测其决策偏转的概率,即信息化从众行为。这说明,决策信心可能在信息化从众中起着核心的中介作用——反对性的群体信息使得决策信心下降,而决策信心的下降导致了决策的偏转,从而表现出从众行为。     

Sample size requirements for estimating pearson, kendall and spearman correlations

Interval estimates of the Pearson, Kendall tau-a and Spearman correlations are reviewed and an improved standard error for the Spearman correlation is proposed. The sample size required to yield a confidence interval having the desired width is examined. A two-stage approximation to the sample size requirement is shown to give accurate results.     

The influence of alcohol and weapon presence on eyewitness memory and confidence

In this quasi-experimental field study, bar drinkers (0.00–0.23% blood alcohol content) viewed a photographic sequence in which a male took a laptop from a helpdesk assistant, either on loan or at gunpoint. Following a brief retention period, participants answered 20 multiple-choice questions about the male, his actions, and details of the scene, then attempted to identify him from a simultaneous target-present or target-absent line-up. Alcohol was associated with a reduction in correct identifications and an increase in false identifications. Surprisingly, the presence of a weapon in the scene enhanced identification accuracy, though wider scene memory was not influenced by alcohol or the weapon. Findings offer some support for the view that alcohol restricts face encoding, perhaps through the narrowing of attention to salient external features (e.g., hair). We also suggest that curiosity about mock-crime perpetrators may produce weapon focus reversals, although the factors that might elicit such curiosity remain unclear.     

Predicting psychological service providers' empowerment in the light of the COVID‐19 pandemic outbreak: A structural equation modelling analysis

This study aimed to investigate the predictors of psychological service providers' empowerment in the light of the COVID‐19 pandemic outbreak. The researcher prepared a psychological service providers' empowerment scale that consisted of 28 items, and this scale was applied in a random sample consisting of 975 psychological service providers. The results showed that the empowerment scale has acceptable validity and reliability. The results of the exploratory factor analysis indicated that the 28 scale items saturate on seven factors, which accounted for 64.42% of the total variance of the scale: the first factor named expect psychological services effectiveness accounted for 27.86%, the second factor named self‐stimulation accounted for 9.71%, the third factor named responsibilities and duties accounted for 7.12%, the fourth factor named psychological services work environment accounted for 6.51%, the fifth factor named psychological service providers’ decision‐making accounted for 5.37%, the sixth factor named creative psychological service provider behaviour accounted for 4.45%, and the seventh factor named psychological services confidence accounted for 3.82% of the total variance of a psychological service providers' empowerment. In order to study the ability to predict the empowerment among psychological service providers, the researcher developed a structural model for psychological service providers' empowerment and then used the structural equation model analysis. The results showed that the proposed structural model of a psychological service providers' empowerment has goodness‐of‐fit, and these results emphasised the ability to predict psychological service providers' empowerment by seven tested factors.     

The effects of intertrial interval and instructional format on skill acquisition and maintenance for children with autism spectrum disorders

We replicated and extended the study by Koegel, Dunlap, and Dyer (1980) by examining the effects of 3 intertrial‐interval (ITI) durations on skill acquisition in 2 children with autism spectrum disorders. Specifically, we compared the effect of short (2 s), progressive (2 s to 20 s), and long (20 s) ITIs on participants’ mastery of tacts or intraverbals presented in massed‐trial and varied‐trial instructional formats. We also measured (a) stereotypic and problem behavior during the ITI, (b) maintenance of skills, and (c) responding to novel adults and settings. Results showed that short ITIs in a varied‐trial format produced the most efficient acquisition of skills; however, most ITI durations produced more efficient skill acquisition in a varied format compared to a massed format. The trial format and ITI duration associated with the lowest levels of stereotypic and problem behavior during the ITI and responding during maintenance and novel adult and setting probes differed across participants.     

Step changes in the intertrial interval in the midsession reversal task: Predicting pigeons' performance with the learning-to-time model

Our goal was to assess the role of timing in pigeons' performance in the midsession reversal task. In discrete-trial sessions, pigeons learned to discriminate between 2 stimuli, S1 and S2. Choices of S1 were reinforced only in the first half of the session and choices of S2 were reinforced only in the second half. Typically, pigeons choose S2 before the contingency reverses (anticipatory errors) and S1 after (perseverative errors), suggesting that they time the interval from the beginning of the session to the contingency reversal. To test this hypothesis, we exposed pigeons to a midsession reversal task and, depending on the group, either increased or decreased the ITI duration. We then contrasted the pigeons' performance with the predictions of the Learning-to-Time (LeT) model: In both conditions, preference was expected to reverse at the same time as in the previous sessions. When the ITI was doubled, pigeons' preference reversal occurred at half the trial number but at the same time as in the previous sessions. When the ITI was halved, pigeons' preference reversal occurred at a later trial but at an earlier time than in the previous sessions. Hence, pigeons' performance was only partially consistent with the predictions of LeT, suggesting that besides timing, other sources of control, such as the outcome of previous trials, seem to influence choice.     

Collective decision making reduces metacognitive control and increases error rates,particularly for overconfident individuals

This research aimed to investigate the changes in judgment accuracy, confidence, control thresholds, and decision outcomes when people act in two-person groups (dyads) compared with acting individually. First, we used interacting dyads to determine the metacognitive and behavioral outcomes of collective decision making and compared them with those of individuals. Second, we examined whether these changes were related to the trait-confidence and bias of individuals working together. Using a within-person design, undergraduate psychology students (N = 116) completed a General-knowledge Test individually, then together as a dyad. Each question was accompanied by a confidence rating and a decision to bet $10 on the answer. Dyads had significantly higher confidence and lower control thresholds than individuals. They were also significantly more decisive (made more bets) and reckless (lost a higher rate of bets) than when working alone. Thus, we observed a higher rate of decision errors for groups than individuals. The results also demonstrated the important role of individual differences: Overconfident individuals became even more confident, decisive, and reckless when working together compared with less confident or underconfident individuals working together. These findings have important theoretical and applied implications for collective decision making; metacognitive bias and potentially control thresholds may be targeted to alleviate the larger error rates and guide the formation of more effective groups.     

Effects of pre-operant running and sucrose concentration on operant wheel running on a fixed interval schedule of reinforcement

Prior research proposed that temporal control over the pattern of operant wheel running on a fixed interval (FI) schedule of sucrose reinforcement is a function of automatic reinforcement generated by wheel running and the experimentally arranged sucrose reinforcement. Two experiments were conducted to assess this prediction. In the first experiment, rats ran for different durations (0, 30, 60, and 180 min) prior to a session of operant wheel running on a FI 120-s schedule. In the second experiment, the concentration of sucrose reinforcement on a FI 180-s schedule was varied across values of 0, 5, 15, and 25%. In Experiment 1, as the duration of pre-operant running increased, the postreinforcement pause before initiation of running lengthened while wheel revolutions in the latter part of the FI interval increased. In Experiment 2, wheel revolutions markedly increased then decreased to a plateau early in the FI interval. Neither manipulation increased temporal control of the pattern of wheel running. Instead, results indicate that operant wheel running is regulated by automatic reinforcement generated by wheel activity and an adjunctive pattern of running induced by the temporal presentation of sucrose. Furthermore, the findings question whether the sucrose contingency regulates wheel running as a reinforcing consequence.     

Hedonic Evaluation over Short and Long Retention Intervals: The Mechanism of the Peak–End Rule

The peak–end rule is used to explain how people make retrospective hedonic evaluations. This study advances our understanding of its mechanism by identifying the different effects of the rule on such evaluations over short and long retention intervals. The results of two experiments show that (i) respondents constructed their retrospective hedonic evaluations on the basis of the peak and end affects only over a short retention interval, not over a long one; and (ii) respondents relied on episodic information to construct their evaluations over a short retention interval, whereas they relied on both semantic and episodic information to construct their evaluations over a long retention interval. Our study also suggests that the “watershed” between short and long retention intervals is likely to lie between 3 and 7 weeks. Copyright © 2012 John Wiley & Sons, Ltd.