基于等级反应模型的规则空间方法

本研究基于Tatsuoka的规则空间方法, 对理想反应模式与异常反应指标进行了扩展, 推导了多级评分项目下规则空间方法的算法公式。在4种属性层级结构(发散型、收敛型、线型与无结构型)×4种“失误”作答概率(2%、5%、10%与15%)测验情境下, 以属性模式判准率、被试属性判准率、敏感性与特异性为指标, 检验了多级评分项目下规则空间方法的分类准确性。结果表明：(1) 基于多级评分项目构建的异常反应指标, 能有效地对被试进行分类与解释, 且0-1评分项目下异常反应指标及其性质都是多级评分下的特例; (2) 随着“失误”作答概率的增加, 4种属性层级结构的分类准确性都会降低; (3) 线型和收敛型的分类准确性明显好于发散型与无结构型; (4) 纯规则点的分布对规则空间方法的分类准确性有显著影响。     

Fitting direct covariance structures by the MSTRUCT modeling language of the CALIS procedure

This paper demonstrates the usefulness and flexibility of the general structural equation modelling (SEM) approach to fitting direct covariance patterns or structures (as opposed to fitting implied covariance structures from functional relationships among variables). In particular, the MSTRUCT modelling language (or syntax) of the CALIS procedure (SAS/STAT version 9.22 or later: SAS Institute, 2010) is used to illustrate the SEM approach. The MSTRUCT modelling language supports a direct covariance pattern specification of each covariance element. It also supports the input of additional independent and dependent parameters. Model tests, fit statistics, estimates, and their standard errors are then produced under the general SEM framework. By using numerical and computational examples, the following tests of basic covariance patterns are illustrated: sphericity, compound symmetry, and multiple‐group covariance patterns. Specification and testing of two complex correlation structures, the circumplex pattern and the composite direct product models with or without composite errors and scales, are also illustrated by the MSTRUCT syntax. It is concluded that the SEM approach offers a general and flexible modelling of direct covariance and correlation patterns. In conjunction with the use of SAS macros, the MSTRUCT syntax provides an easy‐to‐use interface for specifying and fitting complex covariance and correlation structures, even when the number of variables or parameters becomes large.     

The learning benefits of teaching: A retrieval practice hypothesis

Teaching educational materials to others enhances the teacher's own learning of those to‐be‐taught materials, although the underlying mechanisms remain largely unknown. Here, we show that the learning‐by‐teaching benefit is possibly a retrieval benefit. Learners (a) solved arithmetic problems (i.e., they neither taught nor retrieved; control group), (b) taught without relying on teaching notes (i.e., they had to retrieve the materials while teaching; teaching group), (c) taught with teaching notes (i.e., they did not retrieve the materials while teaching; teaching without retrieval practice [TnRP] group), or (d) retrieved (i.e., they did not teach but only practised retrieving; retrieval practice group). In a final comprehension test 1 week later, learners in the teaching group, as did those in the retrieval practice group, outperformed learners in the TnRP and control groups. Retrieval practice possibly causes the learning benefits of teaching.     

论制度设计伦理

在社会生活的公共化和制度化程度不断提高的现代社会里,制度的道德合理性受到了人们的普遍关注,制度设计伦理凸显出来.制度设计伦理包括实质伦理和程序伦理,其中程序伦理包括制定制度中的程序伦理与实现制度中的程序伦理两个方面.它是范导社会生活的新道德体系,必定会对完善道德文化提出新的要求.     

Religion与宗教:分析范畴与本土概念

我国古代并无相当于现代意义的religion一词。"宗教"的现代含义来自日语借词。Religion的现代意义是17、18世纪西方社会日益了解异文化的结果。源于基督教背景,religion被界定为以信仰为核心的信仰与仪式的二元组合,由此确立宗教研究的基本范式。但在中国宗教研究中,此一理论研究范式亦显出诸多困境。本文通过初步梳理比较religion、宗教、道等概念范畴在西方和中国的话语史,探讨理解中国宗教实践新的理论出发点与可能性。     

乡村教师付出–回报失衡对离职意向的影响:有调节的中介模型

为探讨乡村教师付出–回报失衡和职业幸福感对离职意向的影响,选取四川省乡村教师358名,用付出–回报失衡量表、职业幸福感量表和离职意向问卷进行调查。结果表明:(1)控制月收入、年龄和教龄影响后,乡村教师付出–回报比显著提升离职意向;(2)乡村教师职业幸福感在付出–回报比对离职意向的影响中起部分中介作用;(3)乡村教师过度投入调节付出–回报比对职业幸福感的影响。与低过度投入组相比,高过度投入组的付出–回报比对职业幸福感有更强的负向作用。研究结果揭示了乡村教师付出–回报失衡对离职意向影响及作用机制。     

抑郁症的隐喻

抑郁症作为一类精神疾患其隐喻由来已久,精神病学与心理学对该病认识的不断深入,相互运作并将抑郁症置于异化之中,社会文化等诸因素强化了病患扭曲的认同感.从社会、文化功能的角度探讨隐喻对抑郁症病患心理的消极影响,旨在丰富我国抑郁症研究的医学社会学内容.     

CAT选题策略分类概述

选题是计算机化自适应测验（CAT）测试过程的关键环节,选题策略的目标是要达到较高的测量精度,同时也实现试题曝光率控制及其他测验目标的实现.本文根据选题策略的基本原理和衍生发展,将众多CAT选题策略分为五大选题策略系列：Fisher函数系列、K-LI函数系列、α分层系列、贝叶斯系列、b匹配系列;并根据测验目标（测验精度、试题曝光率控制、内容平衡、多条件约束）对这些选题策略进行了细分,并对CAT选题策略的选择思路进行归纳.