Reducing Measurement Error in Student Achievement Estimation

The achievement level is a variable measured with error, that can be estimated by means of the Rasch model. Teacher grades also measure the achievement level but they are expressed on a different scale. This paper proposes a method for combining these two scores to obtain a synthetic measure of the achievement level based on the theory developed for regression with covariate measurement error. In particular, the focus is on ordinal scaled grades, using the SIMEX method for measurement error correction. The result is a measure comparable across subjects with smaller measurement error variance. An empirical application illustrates the method.     

日常经验研究：一种独具特色的研究方法

日常经验研究是一种通过研究日常生活中各种事件发生时人们的瞬时感受而在自发、自然的情景中对人的心理现象、过程进行探索的方法。其目的是通过获得关于个人日常生活中某些特定事件或特定时刻的详细描述,来提取有关思维、情绪、行为的持久性、周期性、变化以及时间结构等方面的信息,并确定上述因素之间的情境性以及倾向性相关。日常经验研究的价值和意义在于在方法论三角互证原则的指导下,与其他各种方法结合起来,帮助研究者从不同角度理解心理现象及其过程,从而达到最大限度地探索、了解人类心理世界的目的     

On the Relationships between Sum Score Based Estimation and Joint Maximum Likelihood Estimation

This paper analyzes the sum score based (SSB) formulation of the Rasch model, where items and sum scores of persons are considered as factors in a logit model. After reviewing the evolution leading to the equality between their maximum likelihood estimates, the SSB model is then discussed from the point of view of pseudo-likelihood and of misspecified models. This is then employed to provide new insights into the origin of the known inconsistency of the difficulty parameter estimates in the Rasch model. The main results consist of exact relationships between the estimated standard errors for both models; and, for the ability parameters, an upper bound for the estimated standard errors of the Rasch model in terms of those for the SSB model, which are more easily available. The authors acknowledge partial financial support from the FONDECYT Project No. 1060722 from the Chilean Government, and the BIL05/03 grant to P. De Boeck, E. Lesaffre and G. Molenberghs (Flanders) for a collaboration with G. del Pino, E. San Martín, F. Quintana and J. Manzi (Chile).     

Second-order conditioning of human causal learning

This article provides the first demonstration of a reliable second-order conditioning (SOC) effect in human causal learning tasks. It demonstrates the human ability to infer relationships between a cause and an effect that were never paired together during training. Experiments 1a and 1b showed a clear and reliable SOC effect, while Experiments 2a and 2b demonstrated that first-order extinction did not affect SOC. These results were similar to those found in animal and human conditioning and suggested that a similar associative mechanism could explain these effects. However, they can also be used to look into the underlying causal mental model people build and store while they are learning this task. From a cognitive view, overall results suggest that an independent rather than a chain causal mental model is stored after second-order learning in human causal tasks.     

The Bodily Self: The Sensori-Motor Roots of Pre-Reflective Self-Consciousness

A bodily self is characterized by pre-reflective bodily self-consciousness that is “immune to error through misidentification.” To this end, the body's double involvement in consciousness is considered: it can experience objects intentionally and itself non-intentionally. Specifically, pre-reflective bodily self-consciousness, by contrast with the consciousness of the body that happens to be one's own, consists in experiencing one's body as the point of convergence of action and perception. Neither proprioception alone nor intention alone is sufficient to underlie this pre-reflective bodily self-consciousness. Rather, it is made possible thanks to a sensori-motor integration, allowing a sensitivity to the sensory consequences of one's action, through action monitoring.     

Reconsidering reconsent: Threats to internal and external validity when participants reconsent after debriefing

We overwhelmingly utilize (partially) informed consent for, and debriefing of, human research participants. Also common is the practice of reconsent, particularly where changes in study protocols (or in participants themselves) occur midstream – participants consent again to remaining in the project or to having their data included. Worryingly under-discussed is post-debriefing reconsent, wherein participants can withdraw their data after learning more fully of the study's goals and methods. Yet, major ethics bodies in Canada, the United States and the United Kingdom promote such practice, with vague and potentially problematic guidelines. Here, the author provides examples involving such reconsent practice, highlighting potentially serious problems that are scientific (e.g. threats to internal and external validity) and ethical (i.e. to the participant, their peers, the researcher and society) in nature. Particularly, problematic is the introduction, by design, of unknowable bias in our research findings. For example, highly prejudiced participants could withdraw data from a discrimination study after learning of the study's hypotheses and goals. The practice may arguably contradict an Open Science goal of increasing research transparency. This call for discussion about the direction of psychological science methods aims to engage a broader discussion in the research community.     

A comparison of momentary time sampling and partial-interval recording for evaluating functional relations

In the current study, momentary time sampling (MTS) and partial-interval recording (PIR) were compared to continuous-duration recording of stereotypy and to the frequency of self-injury during a treatment analysis to determine whether the recording method affected data interpretation. Five previously conducted treatment analysis data sets were analyzed by creating separate graphic displays for each measurement method (duration or frequency, MTS, and PIR). An expert panel interview and structured criterion visual inspection were used to evaluate treatment effects across measurement methods. Results showed that treatment analysis interpretations based on both discontinuous recording methods often matched those based on frequency or duration recording; however, interpretations based on MTS were slightly more likely to match those based on duration and those based on PIR were slightly more likely to match those based on frequency.