Asymptotic Standard Errors of Generalized Partial Credit Model True Score Equating Using Characteristic Curve Methods

In this study, the delta method was applied to estimate the standard errors of the true score equating when using the characteristic curve methods with the generalized partial credit model in test equating under the context of the common-item nonequivalent groups equating design. Simulation studies were further conducted to compare the performance of the delta method with that of the bootstrap method and the multiple imputation method. The results indicated that the standard errors produced by the delta method were very close to the criterion empirical standard errors as well as those yielded by the bootstrap method and the multiple imputation method under all the manipulated conditions.     

Standard errors and confidence intervals for correlations corrected for indirect range restriction: A simulation study comparing analytic and bootstrap methods

A frequent topic of psychological research is the estimation of the correlation between two variables from a sample that underwent a selection process based on a third variable. Due to indirect range restriction, the sample correlation is a biased estimator of the population correlation, and a correction formula is used. In the past, bootstrap standard error and confidence intervals for the corrected correlations were examined with normal data. The present study proposes a large-sample estimate (an analytic method) for the standard error, and a corresponding confidence interval for the corrected correlation. Monte Carlo simulation studies involving both normal and non-normal data were conducted to examine the empirical performance of the bootstrap and analytic methods. Results indicated that with both normal and non-normal data, the bootstrap standard error and confidence interval were generally accurate across simulation conditions (restricted sample size, selection ratio, and population correlations) and outperformed estimates of the analytic method. However, with certain combinations of distribution type and model conditions, the analytic method has an advantage, offering reasonable estimates of the standard error and confidence interval without resorting to the bootstrap procedure's computer-intensive approach. We provide SAS code for the simulation studies.     

Who was that masked man? Conjoint representations of intrinsic motions with actor appearance

Motion plays an important role in recognising animate creatures. This research supports a distinction between intrinsic and extrinsic motions in their relationship to identifying information about the characters performing the motions. Participants viewed events involving costumed human characters. Intrinsic motions involved relative movements of a character’s body parts, whereas extrinsic motions involved movements with respect to external landmarks. Participants were later tested for recognition of the motions and who had performed them. The critical test items involved familiar characters performing motions that had previously been performed by other characters. Participants falsely recognised extrinsic conjunction items, in which characters followed the paths of other characters, more often than intrinsic conjunction items, in which characters moved in the manner of other characters. In contrast, participants falsely recognised new extrinsic motions less often than new intrinsic motions, suggesting that they remembered extrinsic motions but had difficulty remembering who had performed them. Modelling of receiver operating characteristics indicated that participants discriminated old items from intrinsic conjunction items via familiarity, consistent with conjoint representations of intrinsic motion and identity information. In contrast, participants used recollection to distinguish old items from extrinsic conjunction items, consistent with separate but associated representations of extrinsic motion and identity information.     

Hypercorrection of high-confidence errors in the classroom

People often have erroneous knowledge about the world that is firmly entrenched in memory and endorsed with high confidence. Although strong errors in memory would seem difficult to “un-learn,” evidence suggests that errors are more likely to be corrected through feedback when they are originally endorsed with high confidence compared to low confidence. This hypercorrection effect has been predominantly studied in laboratory settings with general knowledge (i.e., trivia) questions, however, and has not been systematically explored in authentic classroom contexts. In the current study, college students in an introductory horticulture class answered questions about the course content, rated their confidence in their answers, received feedback of the correct answers, and then later completed a posttest. Results revealed a significant hypercorrection effect, along with a tendency for students with higher prior knowledge of the material to express higher confidence in, and in turn more effective correction of, their error responses.     

Integrating Covariates into Social Relations Models: A Plausible Values Approach for Handling Measurement Error in Perceiver and Target Effects

The Social Relations Model (SRM) is a conceptual and analytical approach to examining dyadic behaviors and interpersonal perceptions within groups. In an SRM, the perceiver effect describes a person's tendency to perceive other group members in a certain way, whereas the target effect measures the tendency to be perceived by others in certain ways. In SRM research, it is often of interest to relate these individual SRM effects to covariates. However, the estimated individual SRM effects might not provide a very reliable measure of the true, unobserved SRM effects, resulting in distorted estimates of associations with other variables. This article introduces a plausible values approach that allows users to correct for measurement error when assessing the association of individual SRM effects with other individual difference variables. In the plausible values approach, the latent, true individual SRM effects are treated as missing values and are imputed from an imputation model by applying Bayesian estimation techniques. In a simulation study, the statistical properties of the plausible values approach are compared with two approaches that have been used in previous research. A data example from educational psychology is presented to illustrate how the plausible values approach can be implemented with the software WinBUGS.     

Reducing the Negative Effect of the Retention Interval on the Composite Face Recognition

Our memories are quite fragile. We sometimes recognize something unseen as something seen before. This error often causes serious problems, such as the misidentification of composite faces in a criminal investigation. In such a scene, people occasionally claim to have seen a face that is actually a composite face consisting of facial parts separately seen before; this error is called the memory conjunction error. Although the likelihood of the memory conjunction error increases over time, previous studies suggest that it could be suppressed by the number of response options, which are expected to affect the criterion for the “Old” response. Our results show that the presence of three response options reduced the memory conjunction error. Additionally, providing information about the existence of composite faces affected the sensitivity for detecting old faces, whereas three response options affected the criterion. This study might contribute to the improvement of procedures for eyewitness testimony.     

What is the Problem with Fundamental Moral Error?

Quasi-realists argue that meta-ethical expressivism is fully compatible with the central assumptions underlying ordinary moral practice. In a recent paper, Andy Egan has developed a vexing challenge for this project, arguing that expressivism is incompatible with central assumptions about error in moral judgments. In response, Simon Blackburn has argued that Egan's challenge fails, because Egan reads the expressivist as giving an account of moral error, rather than an account of judgments about moral error. In this paper I argue that the challenge can be reinstated, even if we focus only on the expressivist's account of judgments about moral error.     

Integrating ethics into technical courses: Micro-insertion

Perhaps the most common reason science and engineering faculty give for not including “ethics” (that is, research ethics, engineering ethics, or some discussion of professional responsibility) in their technical classes is that “there is no room”. This article 1) describes a technique (“micro-insertion”) that introduces ethics (and related topics) into technical courses in small enough units not to push out technical material, 2) explains where this technique might fit into the larger undertaking of integrating ethics into the technical (scientific or engineering) curriculum, and 3) concludes with some quantified evidence (collected over more than a decade) suggesting success. Integrating ethics into science and engineering courses is largely a matter of providing context for what is already being taught, context that also makes the material already being taught seem “more relevant”.