数据权属与规制探讨

数据可分为原生数据与衍生数据。原生数据视来源不同分属国家、集体或个人。数据处理而形成的衍生数据往往涉及多方利益,形成“利益光谱”,对应多方权利主体。基于价值优先次序、权利位阶规则等,数据利益的“两头强化,多方平衡”,是我国法律数据确权和规制的指导思想。“两头强化”是指法律强化对位于“利益光谱”两端的国家利益与个人权益的保护,“多方平衡”指的是多方主体数据权益的平衡。数据规制的“硬法”进路为：明确法律概念,分析“利益光谱”,确定利益归属,权衡优先次序,平衡多方利益,搭建规制框架,制定具体规则。

     

免除伦理审查制度适法性与可操作性探讨

结合我国现行法律和基本伦理原则,深入分析了免除伦理审查的前置条件和适用情形在适法性与可操作性上可能存在的问题,并在此基础上提出了可行性的建议：第一,明确监管范围,免除伦理审查是一种特殊的审查方式,而非不进行伦理审查;第二,全面评估风险,对研究的风险判断不仅要考虑因研究给个人带来的生理风险,还应考虑其心理、经济、社会以及法律等方面的风险,尤其是对最小风险应明确界定;第三,界定前置条件中的具体概念,以及在此基础上适用情形的判断,制定具体、合理、合法的实施细则,为免除伦理审查的实施提供参考。

     

网络游戏定制、角色依恋和忠诚度的关系研究

网络游戏具有巨大的经济前景和良好的发展态势,国内外很多企业都投入大量资金来开发网络游戏。面对激烈的市场竞争,如何吸引和留住游戏玩家,提高他们的忠诚度,是网络游戏开发商所面临的一个重要问题。本文采用问卷调查法,考察了网络游戏中的定制、角色依恋对网络游戏忠诚度的影响。结果表明：（1）网络游戏定制、角色依恋和忠诚度两两之间呈显著正相关。（2）网络游戏定制对网络游戏忠诚度没有直接影响,而是通过角色依恋的完全中介作用对网络游戏忠诚度产生影响。     

Social networks with two sets of actors

Traditional network research analyzes relational ties within a single group of actors: the models presented in this paper involve relational ties exist beteen two distinct sets of actors. Statistical models for traditional networks in which relations are measured within a group simplify when modeling unidirectional relations measured between groups. The traditional paradigm results in a one-mode socionatrix; the network paradigm considered in this paper results in a two-mode socionatrix; A statistical model is presented, illustrated on a sample data set, and compared to its traditional counterpart. Extensions are discussed, including those that model multivariate relations simultaneously, and those that allow for the inclustion of attributes of the individuals in the group.We thank the Editor and two anonymous reviewers for their helpful comments. We are also grateful to George Barnett for allowing us to analyze his data.     

认知诊断缺失数据处理方法的比较：零替换、多重插补与极大似然估计法

数据缺失在测验中经常发生, 认知诊断评估也不例外, 数据缺失会导致诊断结果的偏差。首先, 通过模拟研究在多种实验条件下比较了常用的缺失数据处理方法。结果表明：(1)缺失数据导致估计精确性下降, 随着人数与题目数量减少、缺失率增大、题目质量降低, 所有方法的PCCR均下降, Bias绝对值和RMSE均上升。(2)估计题目参数时, EM法表现最好, 其次是MI, FIML和ZR法表现不稳定。(3)估计被试知识状态时, EM和FIML表现最好, MI和ZR表现不稳定。其次, 在PISA2015实证数据中进一步探索了不同方法的表现。综合模拟和实证研究结果, 推荐选用EM或FIML法进行缺失数据处理。     

使用似然比D2统计量的题目属性定义方法

题目属性的定义是实施认知诊断评价的关键步骤, 通过有丰富经验的领域专家对题目的属性进行定义是当前的主要方法, 然而该方法受到许多主观经验因素的影响。寻找客观的题目属性定义或验证方法可以为主观定义过程提供策略支持或对结果进行改进, 因此已经引起研究者们的关注。本研究构建了一种简单高效的题目属性定义方法, 研究使用似然比D2统计量从作答数据中估计题目属性的方法, 实现属性掌握模式、题目参数和题目属性向量的联合估计。模拟研究结果表明, 使用似然比D2统计量可以有效地识别题目的属性向量, 该方法一方面可以实现新编制题目属性向量的在线估计, 另一方面可以验证已经定义的题目属性向量的准确性。     

One-to-one support for crisis intervention using online synchronous instant messaging: evaluating working alliance and client satisfaction

Young people are increasingly turning to online support, especially when traditional mental health services are not immediately available. Using a cross-sectional design, sociodemographic information and self-reported perceptions of the strength of the working alliance and client satisfaction were collected from a sample of participants (n = 78) who were users of a service providing free online support using synchronous instant messaging. The results reported a significant positive relationship between the strength of the working alliance and client satisfaction, suggesting that the strength of the working alliance remains a key component in counselling, even online. Participants, however, scored significantly lower on both the strength of the working alliance and client satisfaction, compared to participants in offline settings as reported in past studies.     

医疗机器人的伦理风险与治理探析——基于“医−患−机”分析框架

基于“医−患−机”分析框架,医疗机器人的不断发展面临主体资质复杂、责任认定困难等责任伦理风险,医患关系重构、医患信任危机等医患伦理风险,数据质量与数据隐私等数据伦理风险,算法安全与算法偏见等算法伦理风险以及医疗资源分配正义风险。医疗机器人的伦理治理要以医学伦理和机器人伦理准则为依据,建立多元伦理治理体制,推动学术共同体的构建,探索自愿型、调节型与管制型等伦理治理工具的组合运用,加快医疗机器人伦理治理的法治化发展。

     

Psychometric properties and factor structure of the Fear Questionnaire phobia subscale items in two normative samples

Normative data for the Fear Questionnaire (Marks & Mathews, 1979), a popular self-report instrument measuring phobic concerns, were collected from both a community and a collegiate sample. The covariation and internal consistency of the blood-injury phobia (BI), social phobia (SO), and agoraphobia (AG) subscales were assessed in each sample, and the factor structure of the items from these three subscales was examined. Results indicated that, in general, community subjects reported more phobic concerns than did collegiate subjects, and females reported greater phobic concerns than did males. Results from confirmatory factor analyses suggest that the three factors of BI, SO, and AG did not emerge from either data set. Follow-up exploratory factor analyses did identify the general factors of blood-injury phobia and agoraphobia. Normative data from the present study are compared to those obtained previously, and directions for future research are provided.