物理概念图试题的评分方法

详细介绍了运用知识编码对物理概念图试题进行评分的具体方法,并对物理概念图试题的难度、区分度、信度和效度进行了检验,计算了物理概念图试题与传统物理题型共同组成的期末物理测验的信度,说明依据知识编码评定物理概念图试题分数,是一种行之有效的评分方法,按照知识编码评定物理概念图试题的分数使物理概念图试题成为一道高质量的试题。     

Teaching children with autism to tell socially appropriate lies

This study used a nonconcurrent multiple baseline across participants design to evaluate the use of rules, role‐play, and feedback for teaching 3 children with autism spectrum disorder to tell socially appropriate lies when (a) presented with an undesired gift and (b) someone's appearance changed in an undesired way. The intervention was effective in teaching use of socially appropriate lies, and generalization to untrained people and gifts or appearances was observed.     

Chinese children's evaluations of white lies: weighing the consequences for recipients

This research examined how Chinese children make moral judgments about lie telling and truth telling when facing a “white lie” or “politeness” dilemma in which telling a blunt truth is likely to hurt the feelings of another. We examined the possibility that the judgments of participants (7-11 years of age, N = 240) would differ as a function of the social context in which communication takes place. The expected social consequences were manipulated systematically in two studies. In Study 1, participants rated truth telling more negatively and rated lie telling more positively in a public situation where telling a blunt truth is especially likely to have negative social consequences. In Study 2, participants rated truth telling more positively and rated lie telling more negatively in a situation where accurate information is likely to be helpful for the recipient to achieve future success. Both studies showed that with increased age, children’s evaluations became significantly influenced by the social context, with the strongest effects being seen among the 11-year-olds. These results suggest that Chinese children learn to take anticipated social consequences into account when making moral judgments about the appropriateness of telling a blunt truth versus lying to protect the feelings of another.     

Percentile Norms and Accompanying Interval Estimates from an Australian General Adult Population Sample for Self‐Report Mood Scales (BAI,BDI, CRSD,CES‐D,DASS, DASS‐21, STAI‐X,STAI‐Y,SRDS, and SRAS)

Despite their widespread use, many self‐report mood scales have very limited normative data. To rectify this, Crawford et al. have recently provided percentile norms for a series of self‐report scales. The present study aimed to extend the work of Crawford et al. by providing percentile norms for additional mood scales based on samples drawn from the general Australian adult population. Participants completed a series of self‐report mood scales. The resultant normative data were incorporated into a computer programme that provides point and interval estimates of the percentile ranks corresponding to raw scores for each of the scales. The programme can be used to obtain point and interval estimates of the percentile ranks of an individual's raw scores on the Beck Anxiety Inventory, the Beck Depression Inventory, the Carroll Rating Scale for Depression, the Centre for Epidemiological Studies Rating Scale for Depression, the Depression, Anxiety, and Stress Scales (DASS), the short‐form version of the DASS (DASS‐21), the Self‐rating Scale for Anxiety, the Self‐rating Scale for Depression, the State–Trait Anxiety Inventory (STAI), form X, and the STAI, form Y, based on normative sample sizes ranging from 497 to 769. The interval estimates can be obtained using either classical or Bayesian methods as preferred. The programme (which can be downloaded at http://www.abdn.ac.uk/~psy086/dept/MoodScore_Aus.htm ) provides a convenient and reliable means of obtaining the percentile ranks of individuals' raw scores on self‐report mood scales.     

The counterintuitive impact of responses and response times on parameter estimates in the drift diffusion model

Given a drift diffusion model with unknown drift and boundary parameters, we analyse the behaviour of maximum likelihood estimates with respect to changes of responses and response times. It is shown analytically that a single fast response time can dominate the estimation in that no matter how many correct answers a test taker provides, the estimate of the drift (ability) parameter decreases to zero. In addition, it is shown that although higher drift rates imply shorter response times, the reverse implication does not hold for the estimates: shorter response times can decrease the drift rate estimate. In the light of these analytical results, we illustrate the actual impact of the findings in a small simulation for a mental rotation test. The method of analysis outlined is applicable to a broader range of models, and we emphasize the need to further check currently used reaction time models within this framework.     

A diagnostic tree model for polytomous responses with multiple strategies

Constructed-response items have been shown to be appropriate for cognitively diagnostic assessments because students’ problem-solving procedures can be observed, providing direct evidence for making inferences about their proficiency. However, multiple strategies used by students make item scoring and psychometric analyses challenging. This study introduces the so-called two-digit scoring scheme into diagnostic assessments to record both students’ partial credits and their strategies. This study also proposes a diagnostic tree model (DTM) by integrating the cognitive diagnosis models with the tree model to analyse the items scored using the two-digit rubrics. Both convergent and divergent tree structures are considered to accommodate various scoring rules. The MMLE/EM algorithm is used for item parameter estimation of the DTM, and has been shown to provide good parameter recovery under varied conditions in a simulation study. A set of data from TIMSS 2007 mathematics assessment is analysed to illustrate the use of the two-digit scoring scheme and the DTM.