艾森克人格问卷简式量表中国版(EPQ-RSC)的修订

该文引进艾森克人格问卷简式量表（EPQ-RShortScale,EPQ-RS）,首次在国内加以修订。根据来自30个省市56个地区的8637人（含汉族7725人）的样本数据,修订形成了艾森克人格问卷简式量表中国版（EPQ-RSC）,共包括4个分量表,各12个项目,这一形式和EPQ-RS相同。作者并基于本研究的样本提供了EPQ-RSC的中国常模。研究表明该问卷的E、N和L三个分量表具有令人满意的信度和效度,P量表的信度和效度基本达到有关的心理测量学标准。作者最后对此问卷的信效度结果以及问卷结果反映的当代中国人人格特点进行了讨论。     

Analysing multisource feedback with multilevel structural equation models: Pitfalls and recommendations from a simulation study

When multisource feedback instruments, for example, 360-degree feedback tools, are validated, multilevel structural equation models are the method of choice to quantify the amount of reliability as well as convergent and discriminant validity. A non-standard multilevel structural equation model that incorporates self-ratings (level-2 variables) and others’ ratings from different additional perspectives (level-1 variables), for example, peers and subordinates, has recently been presented. In a Monte Carlo simulation study, we determine the minimal required sample sizes for this model. Model parameters are accurately estimated even with the smallest simulated sample size of 100 self-ratings and two ratings of peers and of subordinates. The precise estimation of standard errors necessitates sample sizes of 400 self-ratings or at least four ratings of peers and subordinates. However, if sample sizes are smaller, mainly standard errors concerning common method factors are biased. Interestingly, there are trade-off effects between the sample sizes of self-ratings and others’ ratings in their effect on estimation bias. The degree of convergent and discriminant validity has no effect on the accuracy of model estimates. The χ² test statistic does not follow the expected distribution. Therefore, we suggest using a corrected level-specific standardized root mean square residual to analyse model fit and conclude with further recommendations for applied organizational research.     

Rethinking Epistemic Relativism

“Relativism” is often treated as a dirty word in philosophy, but relativistic theories are not entirely unappealing—they have features that might be tempting if they weren't thought to be outweighed by problematic consequences. The aim of this paper is to rethink both our attitude to epistemic relativism and the basic features of the view itself. The paper discusses four objections and uses them to isolate five constraints on a more plausible epistemic relativism. It then sketches out a view that meets all of these constraints. This stratified epistemic relativism offers a complex, socially informed picture of justification that accounts for the many different kinds of roles that epistemic agents act, and think, in accordance with each day, and can serve as a starting point for constructing a more detailed epistemic relativism, which could secure its appealing benefits without incurring the costs traditionally associated with relativist views.     

Simple Structure Detection Through Bayesian Exploratory Multidimensional IRT Models

In modern validity theory, a major concern is the construct validity of a test, which is commonly assessed through confirmatory or exploratory factor analysis. In the framework of Bayesian exploratory Multidimensional Item Response Theory (MIRT) models, we discuss two methods aimed at investigating the underlying structure of a test, in order to verify if the latent model adheres to a chosen simple factorial structure. This purpose is achieved without imposing hard constraints on the discrimination parameter matrix to address the rotational indeterminacy. The first approach prescribes a 2-step procedure. The parameter estimates are obtained through an unconstrained MCMC sampler. The simple structure is, then, inspected with a post-processing step based on the Consensus Simple Target Rotation technique. In the second approach, both rotational invariance and simple structure retrieval are addressed within the MCMC sampling scheme, by introducing a sparsity-inducing prior on the discrimination parameters. Through simulation as well as real-world studies, we demonstrate that the proposed methods are able to correctly infer the underlying sparse structure and to retrieve interpretable solutions.     

Construct validity for the verbal associated pairs screen

The present study introduces the Verbal Associated Pairs Screen (VAPS) as a new measure for assessing performance validity in pediatric populations. This study presents initial data on psychometric properties and establishes construct validity for the VAPS in a sample of 30 adolescent healthy controls and 206 youths with traumatic brain injury (TBI: moderate/severe, N = 30; mild, N = 176). The control group’s age (M = 14.93, SD = 1.8) was significantly higher than the moderate/severe TBI (M = 13.9, SD = 2.8), t(68.508) = ?3.038, p = .003, and mild TBI (mTBI) groups (M = 14, SD = 2.8), t(54.147) = 2.038, p = .046. The TBI groups were administered the VAPS in accord with other established performance validity tests (PVTs) and well-established memory tests as part of routine clinical evaluations. The healthy control group was administered the VAPS only. VAPS score distributions for the control group were negatively skewed and highly kurtotic. VAPS scores from the moderate/severe TBI and control groups were indistinguishable for Trial 2 (U = 274, p < .01) and the Delay (U = 396, p = .218). In the mTBI group, convergent and divergent validity was established with other well-validated PVTs and memory tests, respectively. ROC curve analyses identified optimal cutoff scores for the VAPS Total Score, with acceptable sensitivity (55%) and excellent specificity (100%), as well as strong detectability (AUC = .829, 95% CI: 0.731 – 0.928, p < .001). Clinical applications, limitations, and directions for future research with the VAPS are discussed.     

Concordance of teacher-rated and performance-based measures of executive functioning in preschoolers

The most common method used to evaluate child behavior and functioning is rating scales completed by parents and/or teachers. Given that executive functioning (EF) plays a fundamental role in the developing child’s cognitive, behavioral, and social-emotional development, it would be ideal if ratings of EF and performance-based EF measures assess the same construct. However, most studies report a small to negligible association between performance-based measures and ratings of EF. There are few studies investigating this association for preschoolers, and most only include parent ratings. Teachers may be more reliable reporters of EF behaviors due to the higher demand for EF skills in the preschool setting than at home and because teachers may have a better sense of what behaviors are normative. In this study, we reviewed the associations between three EF rating scales completed by teachers on 243 preschool children. Results showed small to moderate correlations with EF measures of inhibition and cognitive flexibility/switching for all three scales, with the strongest associations observed between Child Behavior Rating Scale (CBRS) Behavioral Regulation subscale and child EF measures. Exploratory multivariate path analyses showed that, after controlling for age, sex, and socioeconomic status (SES), Behavioral Regulation significantly predicted performance-based measures of EF and accounted for incrementally more variance in the models. We conclude that in ideal situations, it is best to measure EF using both rating scales and performance-based measures of EF. The CBRS seems to be a sensitive measure of EF in preschoolers and may be a helpful brief screening tool for use with teachers.     

儿童青少年正念量表(CAMM)在中国青少年群体中的信效度检验

目的:检验儿童青少年正念量表(CAMM)在中国青少年群体中应用的信效度,为青少年正念研究提供科学工具。方法:选取310名中学生(样本1)进行条目分析和探索性因素分析,再选取309名中学生(样本2)进行验证性因素分析、效标效度、增量效度和信度分析。结果:中文版CAMM抽取2个因素最为合适,并具有良好的结构效度、效标效度、增量效度及较高的信度。结论:中文版CAMM具有良好的心理测量学指标,可以在中国青少年群体中使用。     

The assessment of autistic traits with the Autism Spectrum Quotient: Contribution of the French version to its construct validity

IntroductionThe Autism Spectrum Questionnaire (AQ, Baron-Cohen et al., 2001) is a self-report assessment tool aiming at screening autistic traits in normal intelligence adults. While numerous versions in other languages than English now exist, few factorial evidence do sustain the valid use of this instrument as it was conceived, based upon five distinct dimensions (Social skills, Communication, Attention to detail, Attention switching, Imagination); no such study exists with a French version of the AQ. The aim of our study is therefore to present the French version of the scale and to explore its factorial validity with confirmatory factorial analyses and, possibly, its invariance across men and women.MethodSeveral confirmatory factorial analyses, with the robust WLSMV estimator for categorical response format, were run on the questionnaire data from 788 French-speaking students (17–25 years old) at university faculties or schools for higher education in Belgium. The original five-factor measurement model of the AQ was assessed as well as alternative models. An exploratory factorial analysis was also applied to get more insight as to possible sources of misfit.ResultsNo measurement model – neither the original five-factor one nor any of the six other models tested – did produce statistics or fit indices close to significant values: there was no fit to the data. The internal consistency of the subscales was weak; the exploratory factorial analysis further confirmed that as much as ten factors were needed to explain 45% of the data variance.ConclusionOur results, with a French version of the scale, add to many other ones which suggest that the AQ is a too heterogeneous questionnaire with somewhat ill-defined dimensions and non specific/ambiguous items. The questionnaire should probably be shortened and its content realigned to core features of the autism spectrum.     

Evaluating the Impact of Careless Responding on Aggregated-Scores: To Filter Unmotivated Examinees or Not?

When examinees' test-taking motivation is questionable, practitioners must determine whether careless responding is of practical concern and if so, decide on the best approach to filter such responses. As there has been insufficient research on these topics, the objectives of this study were to: a) evaluate the degree of underestimation in the true mean when careless responses are present, and b) compare the effectiveness of two filtering procedures in purifying biased aggregated-scores. Results demonstrated that: a) the true mean was underestimated by around 0.20 SDs if the total amount of careless responses exceeded 6.25%, 12.5%, and 12.5% for easy, moderately difficult, and difficult tests, respectively, and b) listwise deleting data from unmotivated examinees artificially inflated the true mean by as much as .42 SDs when ability was related to careless responding. Findings from this study have implications for when and how practitioners should handle careless responses for group-based low-stakes assessments.     

Estimating Incremental Validity Under Missing Data

A common form of missing data is caused by selection on an observed variable (e.g., Z). If the selection variable was measured and is available, the data are regarded as missing at random (MAR). Selection biases correlation, reliability, and effect size estimates when these estimates are computed on listwise deleted (LD) data sets. On the other hand, maximum likelihood (ML) estimates are generally unbiased and outperform LD in most situations, at least when the data are MAR. The exception is when we estimate the partial correlation. In this situation, LD estimates are unbiased when the cause of missingness is partialled out. In other words, there is no advantage of ML estimates over LD estimates in this situation. We demonstrate that under a MAR condition, even ML estimates may become biased, depending on how partial correlations are computed. Finally, we conclude with recommendations about how future researchers might estimate partial correlations even when the cause of missingness is unknown and, perhaps, unknowable.