高阶项目反应模型的发展与应用

在测量具有层阶结构的潜质时, 标准项目反应模型对项目参数估计和能力参数估计都具有较低的效率, 多维项目反应模型虽然在估计第一阶潜质时具有高效性, 但没有考虑到潜质层阶的情况, 所以它不适合用来处理具有层阶结构的潜质; 而高阶项目反应模型在处理这种具有层阶结构的潜质时, 不仅能够高效准确地对项目参数和能力参数进行估计, 而且还能同时获得高阶潜质与低阶潜质。目前存在的高阶项目反应模型有高阶DINA模型、高阶双参数正态肩型层阶模型、高阶逻辑斯蒂模型、多级评分的高阶项目反应模型和高阶题组模型。未来对高阶项目反应模型的研究方向应注意多水平高阶项目反应模型、项目内多维情况下的高阶项目反应模型以及高阶认知诊断模型。     

独生子与非独生子在入园适应方面的比较研究

本研究有六个小班的96名三岁至四岁半的儿童参加,其中48名为非独生子,48名为本班的配对独生子。使用的方法为观察与问卷。结果表明:三至四岁半的独生子与非独生子入幼儿园第一个月的适应行为无显著差异。报告也讨论了影响入园困难的因素,研究入园问题的良好指标以及有效的教学措施等。     

Four semantic layers of common nouns

This article proposes a four-layer semantic structure for common nouns. Each layer matches up with a semantic entity of a certain type in Montague’s intensional semantics. It is argued that a common noun denotes a sense and a concept, which are functions. For any given context, the sense of a term determines its extensions and the concept denoted by the term specifies its intensions. Intensions are treated as sets of senses. The membership relation between a sense and an intension is a soft kind and is expressed in the form of a generic sentence. Such a layered structure explains various “degrees of publicity” of a language. The result we present clarifies the confusions existing in the ordinary understanding of “sense,” “intension,” and “concept.” It also has promising applications in interpreting metaphors and revealing the relationship between generics and metaphors.     

The use of genomic microarrays to study chromosomal abnormalities in mental retardation

Mental retardation affects 2 to 3% of the US population. It is defined by broad criteria, including significantly subaverage intelligence, onset by age 18, and impaired function in a group of adaptive skills. A myriad of genetic and environmental causes have been described, but for approximately half of individuals diagnosed with mental retardation the molecular basis remains unknown. Genomic microarrays, also called array comparative genomic hybridization (array CGH), represent one of several novel technologies that allow the detection of chromosomal abnormalities, such as microdeletions and microduplications, in a rapid, high throughput fashion from genomic DNA samples. In one early application of this technology, genomic microarrays have been used to characterize the extent of chromosomal changes in a group of patients diagnosed with one particular type of disorder that causes mental retardation, such as deletion 1p36 syndrome. In another application, DNA samples from individuals with idiopathic mental retardation have been assayed to scan the entire genome in attempts to identify chromosomal changes. Genomic microarrays offer both a genome-wide perspective of chromosomal aberrations as well as higher resolution (to the level of approximately one megabase) compared to alternative available technologies.     

多维计算机化自适应测验中项目曝光控制选题策略的比较

在MCAT中考查四种项目选择指标在有无曝光控制条件下的选题表现。项目选择指标分别是:(1)贝叶斯的D优化方法(D-optimality)、后验期望Kullback-Leibler方法(KLP)、基于等权重复合分数的最小误差方差方法(the minimized error variance of the linear combination score with equal weight,V1)和基于最优权重复合分数的最小误差方差方法(the minimized error variance of the composite score with optimized weight,V2)。将针对认知诊断CAT项目曝光控制的的限制阈值方法(Restrictive Threshold,RT)和限制进度(Restrictive Progressive,RPG)方法、单维CAT中的最大优先指标方法(Maximum Priority Index,MPI)推广到MCAT。模拟研究表明:(1)KLP,D-优化和V1对领域分数估计准确,能力返真性比V2更好。(2)尽管V1和V2方法相比KLP和D-优化方法提高了题库利用率,但这四种选题指标都产生不均匀的项目曝光率分布。(2)三种曝光控制策略都极大地提高项目曝光均匀性,且不明显降低测量精度。(3)MPI与RPG方法在曝光控制方面表现类似,且比RT的方法表现更好。