Response error and processing biases in confidence judgment

Previous studies showed that random error can explain overconfidence effects typically observed in the literature. One of these studies concluded that, after accounting for random error effects in the data, there is little support for cognitive‐processing biases in confidence elicitation. In this paper, we investigate more closely the random error explanation for overconfidence. We generated data from four models of confidence and then estimated the magnitude of random error in the data. Our results show that, in addition to the true magnitude of random error specified in the simulations, the error estimates are influenced by important cognitive‐processing biases in the confidence elicitation process. We found that random error in the response process can account for the degree of overconfidence found in calibration studies, even when that overconfidence is actually caused by other factors. Thus, the error models say little about whether cognitive biases are present in the confidence elicitation process. Copyright © 2008 John Wiley & Sons, Ltd.     

A post hoc correction procedure for systematic errors in time-sampling duration estimates

Numerous previous studies have shown that partial-interval sampling in direct observation systematically overestimates duration and underestimates frequency. Whole-interval sampling systematically underestimates both duration and frequency. This paper presents a post hoc method through which the systematic errors in duration estimates in partial-interval sampling and whole-interval sampling can be minimized.     

Effects of active student response during error correction on the acquisition and maintenance of geography facts by elementary students with learning disabilities

An alternating treatments design was used to compare the effects of Active Student Response (ASR) error correction and No Response (NR) error correction during instruction of the capitals of states and countries. Three students with learning disabilities were provided one-to-one daily instruction on four sets of 14 unknown capitals (7 ASR capitals and 7 NR capitals). Student errors during instruction on ASR capitals were immediately followed by the teacher stating the capital and the student repeating it (an active student response). Errors on NR capitals were immediately followed by the teacher stating the capital while the student visually attended to a geography card with the correct capital handwritten on it (an on-task response). During instruction each of the three students correctly stated more capitals taught with ASR instruction than he or she stated with NR error correction. Results of same-day and next-day tests show that all three students learned more capitals with ASR error correction than with NR error correction The students also correctly stated more ASR error correction capitals on 1-week maintenance tests.     

Shrinkage estimation of linear combinations of true scores

This paper is concerned with combining observed scores from sections of tests. It is demonstrated that in the presence of population information a linear combination of true scores can be estimated more efficiently than by the same linear combination of the observed scores. Three criteria for optimality are discussed, but they yield the same solution which can be described and motivated as a multivariate shrinkage estimator.Input from Eric Bradlow, Charles Lewis, and Linda Zeger is acknowledged. Research for this paper was funded by the Program Research Council (ETS). Suggestions of the Editor and of anonymous referees were instrumental in several improvements of the paper.     

计算机控制心理学实验过程的计时误差分析

计算机在控制心理学实验过程中,可能引入各种潜在的计时误差,特别在短时呈现各种实验刺激时,有些误差是不应忽略的。本文重点分析屏幕刷新率对实验设计的限制及可能产生的计时误差和解决方法。     

Improving the spelling performance of students with disabilities

The present study examined the effects of an error correction strategy on the spelling accuracy of students with emotional and/or learning disabilities. The strategy, which asked students to spell a word, view a correct model, and then correct their errors, was compared to a traditional strategy that asked students to write words three times each while viewing a correct model. Results showed that students learned more words in the error correction condition than in the traditional condition. The error correction treatment was shown to be an effective strategy that reduced the number of repetitive spelling practice trials, and was preferred by students.     

Correlation and prediction in ordinal test theory

Based on the test theory model for ordinal measurements proposed by Schulman and Haden, the present paper considers correlations between tests, attenuation, regressions involving true and observed scores, and prediction of test reliability.The population correlation between tests is shown to be related to the expected sample correlation for samples of sizen ₁ andn ₂. Errors of estimation, measurement and prediction are found to be similar to their counterparts in interval test theory, while attenuation is identical to its counterpart. The bias in estimating population reliability from sample data is compared for Kendall's tau and Spearman's rho.The author wishes to thank the referees for their helpful comments on an earlier draft of this paper, and in particular, for the suggested alternative methods of establishing some of the presented results.     

Fidgeting as self-evidencing: A predictive processing account of non-goal-directed action

Non-goal-directed actions have been relatively neglected in cognitive science, but are ubiquitous and related to important cognitive functions. Fidgeting is seemingly one subtype of non-goal-directed action which is ripe for a functional account. What's the point of fidgeting? The predictive processing framework is a parsimonious account of brain function which says the brain aims to minimise the difference between expected and actual states of the world and itself, that is, minimise prediction error. This framework situates action selection in terms of active inference for expected states. However, seemingly aimless, idle actions, such as fidgeting, are a challenge to such theories. When our actions are not obviously goal-achieving, how can a predictive processing framework explain why we regularly do them anyway? Here, we argue that in a predictive processing framework, evidence for the agent's own existence is consolidated by self-stimulation or fidgeting. Endogenous, repetitive actions reduce uncertainty about the system's own states, and thus help continuously maintain expected rates of prediction error minimisation. We extend this explanation to clinically distinctive self-stimulation, such as in Autism Spectrum Conditions, in which effective strategies for self-evidencing may be different to the neurotypical case.     

When to Self-Correct Spelling Words: A Systematic Replication

Previous studies have consistently demonstrated self-correction to be more effective than traditional approaches to spelling instruction. This investigation examined the comparative effects of self-correction after attempting each word and self-correction after attempting a list of 10 words by six fifth-graders with learning disabilities or attention deficit-hyperactivity disorder. An alternating treatments design showed self-correction after each word to be more effective for (a) acquisition of new spelling words as measured by weekly spelling tests for five of the six students, and (b) maintenance of spelling words as measured by 1-week maintenance tests for all six students.     

未意识到错误影响错误后调整的电生理证据

现有研究一致认为意识到错误可引起错误后调整,但是未意识到错误能否促使个体进行错误后调整尚存争议。本实验采用基于go/no-go范式的错误意识任务考察上述问题,并根据被试对自己按键反应正误主观报告将no-go错误反应分为意识到错误和未意识到错误。行为结果发现,意识到错误和未意识到错误后正确率均显著高于正确击中试次(正确go试次)后正确率;但是,意识到错误后试次反应时显著快于正确击中后反应时,未意识到错误后反应时显著慢于正确击中后反应时。该结果表明两类错误均优化了错误后行为表现,但是意识到错误后被试调整速度加快,未意识到错误后被试调整速度减慢。进而,时频分析发现意识到错误相较于未意识到错误诱发显著更强的alpha波能量。并且,前者在错误意识主观报告前已诱发alpha波,后者在错误意识主观报告反应后诱发alpha波。该结果表明意识到错误一直处于持续的注意监控中,而未意识到错误是任务引起的暂时注意控制。因此,本实验说明错误意识影响错误后调整,意识到错误可能采用类似主动性控制的策略调节错误后行为,而未意识到错误可能采用类似反应性控制的策略调节错误后行为。