The accuracy-confidence correlation in eyewitness testimony: limits and extensions of the retrospective self-awareness effect.

This research extended Kassin's (1985) finding that retrospective self-awareness (RSA) increases the correlation between eyewitness accuracy and confidence. In Experiment 1, 91 mock witnesses saw a crime, answered questions, made an identification decision, and rated their confidence. RSA increased the accuracy-confidence correlation for witnesses who made an identification and for those who were high but not low in public self-consciousness. A 2nd experiment varied accountability and revealed that high accountability increased the accuracy-confidence correlation but that the RSA effect occurred even under low-accountability conditions. In both studies, observers could not distinguish between accurate and inaccurate witnesses. Together, these findings define the limits of the RSA effect and provide mixed support for a self-perception account of this effect.     

Ezekiel’s classic estimator of the population squared multiple correlation coefficient: Monte Carlo-based extensions and refinements

Abstract

Ezekiel’s adjusted R² is widely used in linear regression analysis. The present study examined the statistical properties of Ezekiel’s measure through a series of Monte Carlo simulations. Specifically, we examined the bias and root mean squared error (RMSE) of Ezekiel’s adjusted R² relative to (a) the sample R² statistic, and (b) the sample R² minus the expected value of R². Simulation design factors consisted of sample sizes (N?=?50, 100, 200, 400), number of predictors (2, 3, 4, 5, 6), and population squared multiple correlations (ρ² = 0, .10, .25, .40, .60). Factorially crossing these design factors resulted in 100 simulation conditions. All populations were normal/Gaussian, and for each condition, we drew 10,000 Monte Carlo samples. Regarding systematic variation (bias), results indicated that with few exceptions, Ezekiel’s adjusted R² demonstrated the lowest bias. Regarding unsystematic variation (RMSE), the performance of Ezekiel’s measure was comparable to the other statistics, suggesting that the bias-variance tradeoff is minimal for Ezekiel’s adjusted R². Additional findings indicated that sample size-to-predictor ratios of 66.67 and greater were associated with low bias and that ratios of this magnitude were accompanied by large sample sizes (N?=?200 and 400), thus suggesting that researchers using Ezekiel’s adjusted R² should aim for sample sizes of 200 or greater in order to minimize bias when estimating the population squared multiple correlation coefficient. Overall, these findings indicate that Ezekiel’s adjusted R² has desirable properties and, in addition, these findings bring needed clarity to the statistical literature on Ezekiel’s classic estimator.     

Ridge structural equation modelling with correlation matrices for ordinal and continuous data

This paper develops a ridge procedure for structural equation modelling (SEM) with ordinal and continuous data by modelling the polychoric/polyserial/product‐moment correlation matrix R . Rather than directly fitting R , the procedure fits a structural model to R _a= R +a I by minimizing the normal distribution‐based discrepancy function, where a > 0. Statistical properties of the parameter estimates are obtained. Four statistics for overall model evaluation are proposed. Empirical results indicate that the ridge procedure for SEM with ordinal data has better convergence rate, smaller bias, smaller mean square error, and better overall model evaluation than the widely used maximum likelihood procedure.     

A model relating transfer of learning and correlation

The theoretical and practical importance of a double undertaking is discussed: the development of learning and transfer taxonomies with psychometric relevance and the building of psychometric classificatory systems with implications for learning and instruction. Psychometric classifications of human performances are most often based on the covariation of individual differences. The model presented justifies the expectation that the transfer from learning one task to learning another is linearly dependent on the coefficient of intercorrelation between the two tasks when the coefficient is corrected for attenuation. Two studies so far have explicitly confirmed the main deductions from this model. Contrary to the predictions, however, the regression curves yielded negative intercepts. Two empirically testable explanations are offered, one of which would be in full accordance with the model, while the other would call for a further assumption.     

Relations between linear models: Implications for the lens model

Brunswik's lens model has been widely used in the modeling and analysis of judgment tasks and the lens model equation has been an important part of most analyses. In such analyses, researchers often have based arguments and interpretations upon the magnitude of various components of the lens model equation. One component is G, an index of agreement between a linear model of the subject's judgments and a linear model of the task environment. This paper addresses the index G and shows that while in principle −1 G 1, the distribution of G is often skewed toward high values so that caution must be used in the interpretation of its magnitude. Moreover, the results reported here apply to the relation between linear models in general.     

New evidence for the zoom lens model using the RSVP technique

A main prediction from the zoom lens model for visual attention is that performance is an inverse function of the size of the attended area. The “attention shift paradigm” developed by Sperling and Reeves (1980) was adapted here to study predictions from the zoom lens model. In two experiments two lists of items were simultaneously presented using the rapid serial visual presentation technique. Subjects were to report the first item he/she was able to identify in the series that did not include the target (the letter T) after he/she saw the target. In one condition, subjects knew in which list the target would appear; in another condition, they did not have this knowledge, having to attend to both positions in order to detect the target. The zoom lens model predicts an interaction between this variable and the distance separating the two positions where the lists are presented. In both experiments, this interaction was observed. The results are also discussed as a solution to the apparently contradictory results with regard to the analog movement model.     

Examining antisocial behavior through the lens of the five factor model of personality

The current study attempts to provide greater precision in understanding how personality is related to antisocial behavior. Specifically, we examined the relations between the facets (subordinate traits) from three domains (superordinate dimensions): Neuroticism, Agreeableness, and Conscientiousness, of the Five Factor Model and five outcome variables: stability of conduct problems, variety of conduct problems, onset of conduct problems, aggression, and antisocial personality disorder symptoms. These relations were examined in a community sample of 481 individuals. These three personality dimensions were chosen for exploration due to their consistent relations, at the domain level, with antisocial behaviors. The results from this study suggest that the facets from the dimension of Agreeableness are the most consistently related to all five outcomes. However, the facets from all three domains made significant contributions. Overall, three personality traits stood out as being the strongest and most consistent predictors: low straightforwardness, low compliance, and low deliberation. Implications for prevention and intervention are discussed. Aggr. Behav. 29:497–514, 2003. © 2003 Wiley‐Liss, Inc.     

Psychometric functions and a correlation model of binaural detection

Sets of psychometric functions for the detection of tone in noise are reexamined for several interaural listening conditions. Best-fit sets of functions are determined for a “correlation” model of binaural masking level differences (MLDs). Based on only three parameters, this model predicts both the forms and relative positions of all such functions. The finding that MLDs are relatively independent of the detection level chosen for their determination is predicted by the model, and the sets of theoretical functions describe the data nearly as well as a previously determined empirical relation which requires M + 1 parameters for M curves.     

接纳承诺疗法的作用机制——基于元分析结构方程模型

接纳承诺疗法(Acceptance and Commitment Therapy, ACT)被认为是行为治疗“第三浪潮”的重要代表。本研究使用元分析结构方程模型, 考察ACT的作用机制。通过数据库检索与筛选, 最终纳入文献50篇。结果发现: ACT所假设的心理灵活性、接纳、此时此刻、价值的中介作用都达到统计显著, 认知解离这一中介变量并不显著; 中介机制在网络化干预中仍然得到检验; 相较之传统CBT, ACT在所假设的机制上有其区别于CBT的优势。后续临床研究应更全面地测量6大核心机制, 关注对美好生活提升的影响, 采用多点瞬时评价法, 并尽可能使用更高级、更先进的统计方法检验其作用机制。     

Nonunique solutions to the likelihood equation for the three-parameter logistic model

Samejima identified the possibility of multiple solutions to the likelihood equation (multiple maxima in the likelihood function) for estimating an examinee's trait value for the three-parameter logistic model. In the practical applications that Lord studied, he found that multiple solutions did not occur when the number of items was 20. In the present paper, fourteen multiple-choice achievement tests with from 20 to 50 items were examined to see if it was possible for them to produce item response vectors with multiple maxima; such vectors were found for all the tests. Examination of response vectors for large groups of real examinees found that from 0 to 3.1% of them had response vectors with multiple maxima. The implications of these results for multiple-choice tests are discussed.     

On the Johnson-Neyman technique and some extensions thereof

The Johnson-Neyman technique is a statistical tool used most frequently in educational and psychological applications. This paper starts by briefly reviewing the Johnson-Neyman technique and suggesting when it should and should not be used; then several different modifications and extensions of the Johnson-Neyman technique, all of them conceptually simple, are proposed. The close relation between confidence intervals and regions of significance of the Johnson-Neyman type is pointed out. The problem of what to do when more than two groups are being compared is considered. The situation of more than one criterion variable is also considered.This research was supported in part by Educational Testing Service, and in part by the Mathematics Division of the Air Force Office of Scientific Research.     

Externalizing behavior through the lens of the five-factor model: a focus on agreeableness and conscientiousness

We examined relations between the Five-factor model (FFM) domains and facets of Agreeableness and Conscientiousness, hypothesized behavioral manifestations of these traits (e.g., social information processing and delay discounting), and externalizing behaviors in an undergraduate sample. Agreeableness and Conscientiousness were differentially related to the externalizing behaviors and the laboratory tasks, which in turn evinced significant relations with externalizing behaviors. The personality facets displayed evidence of modest incremental validity over the broader domains and were related to the externalizing behaviors even when controlling for the social information processing and behavioral discounting variables. In general, the results support the validity of the FFM domains and facets, particularly Agreeableness, in the prediction of a variety of externalizing behaviors.     

Inhibited power motivation and persuasive communication: a lens model analysis

The authors tested the hypothesis that after motive arousal, individuals with an inhibited power motive (IPM) would excel at a persuasive task and explored the behavioral strategies IPM individuals use to that purpose. Sixty-eight participants presented their point of view on a controversial subject to another person. Power motivation and inhibition were both assessed by a picture-story test. Prior to their presentation, half of the participants imaginatively explored the ensuing task. The other half was assigned to a no-imagery control condition. Lens model analysis of videotaped presentations revealed that IPM participants in the imagery condition were judged to be the most persuasive of all participants. This interactive effect of power motivation, inhibition, and imagery condition was accounted for by three behavioral cues: verbal fluency, gesturing, and eyebrow lifts. No comparable effects emerged among no-imagery participants.     

Social pressure and policy change in the "lens model" interpersonal conflict paradigm

Abstract.— The effects of conflict and policy inaccuracy on policy change in the "lens model" interpersonal conflict paradigm were investigated in an experiment which compared amount of policy change for subjects who were paired with a stooge who did not change his policy even though it was incorrect with the amount of policy change for subjects whose opponents changed their policies to reduce the inaccuracy of these policies. The amount of policy change was the same in both of these conditions, indicating that task adaptation is a more important goal to the subjects than conflict reduction in these experiments.     

Veracity is in the eye of the beholder: A lens model examination of consistency and deception

Research has attempted to explain perceived cues to deception based upon self-report of what participants believe are ‘good’ cues to deception, or self-report of what cues participants say they base their veracity judgements on. However, it is not clear to what extent participants can accurately self-report what influences their decision-making. Using a within-subjects design, 285 participants completed a questionnaire regarding their beliefs about deception before rating a selection of truthful and deceptive statements on a variety of cues. Expert coders also rated the statements for the same cues. Laypeople and expert coders do not conceptualise between-subject consistency in the same way. A lens model showed that whilst perceptions of cues, such as consistency and amount of detail, influence veracity judgements, these perceptions (and overall veracity judgements) are mostly inaccurate. Fundamentally, there seems to be inconsistencies between how deception research examines consistency and how it is understood and used by laypeople.