Stopping rules for multi-category computerized classification testing

Computerized classification testing (CCT) aims to classify persons into one of two or more possible categories to make decisions such as mastery/non-mastery or meet most/meet all/exceed. A defining feature of CCT is its stopping criterion: the test terminates when there is enough confidence to make a decision. There is abundant research on CCT with a single cut-off, and two common stopping criteria are the sequential probability ratio test (SPRT) statistic and the generalized likelihood ratio statistic (GLR). However, there is a relative scarcity of research extending the SPRT to the multi-hypothesis case for when there is more than one cut-off. In this paper, we propose a new multi-category GLR (mGLR) statistic as well as a stochastically curtailed version of the CCT with three or more categories. A simulation study was conducted to show that the mGLR statistic outperformed the existing stopping rules by generating shorter average test length without sacrificing classification accuracy. Results also revealed that the stochastically curtailed mGLR successfully increased test efficiency in certain testing conditions.     

Word Learning in L2 Chinese: from Perspectives of Learner-Related and Language-Related Factors

Journal of Psycholinguistic Research - Word learning in a second language (L2) is a complex process, which is affected by learner-related (e.g., morphological awareness) and language-related (e.g.,...     

Lattices of Finitely Alternative Normal Tense Logics

Studia Logica - A finitely alternative normal tense logic $$T_{n,m}$$ is a normal tense logic characterized by frames in which every point has at most n future alternatives and m past alternatives....     

Using EM Algorithm for Finite Mixtures and Reformed Supplemented EM for MIRT Calibration

Psychometrika - This study revisits the parameter estimation issues in multidimensional item response theory more thoroughly and investigates some computation details that have seldom been...     

需求和接受的授权型领导匹配对下属工作结果的影响：情绪耗竭的中介作用

基于人-环境匹配理论和压力认知交互作用理论, 本文探讨了下属需求和接受的授权型领导匹配性对下属态度、行为和绩效的影响及情绪耗竭的中介作用。本文分别通过对150位领导与150位下属(研究1)、50位领导与243位下属(研究2)的配对样本开展两项多时点、多来源的问卷数据收集, 并采用跨层次多项式回归和响应面分析方法得出以下结论: (1)下属需求和接受的授权型领导失配会导致下属情绪耗竭; (2)相对于授权不足, 领导的过度授权更会导致下属情绪耗竭; (3)下属需求和接受的授权型领导匹配性通过作用于下属情绪耗竭进而影响下属对领导的满意度、组织公民行为和工作绩效。     

未来时间洞察力与大学生职业决策自我效能感的关系:领悟社会支持与自尊的链式中介

为考察未来时间洞察力对大学生职业决策自我效能感的影响及其作用机制,本研究采用未来时间洞察力量表、领悟社会支持量表、自尊量表和职业决策自我效能感量表,对756名高校学生进行调查。结果表明:(1)未来时间洞察力、领悟社会支持、自尊、职业决策自我效能感两两之间存在显著正相关;(2)社会支持和自尊在未来时间洞察力与职业决策自我效能感之间起显著的中介作用。具体为三条中介路径:一是社会支持的单独中介作用; 二是自尊的单独中介作用; 三是社会支持和自尊的链式中介作用。研究揭示了未来时间洞察力与大学生职业决策自我效能感的关系及其作用机制,拓展了大学生职业决策自我效能感的影响因素,对大学生的职业指导具有一定的现实意义。     

权力感对道德判断的影响及其理论解释:基于CNI模型的视角

权力感指个体对控制他人和自身的能力的感知。现有权力对道德判断的影响研究主要使用传统两难困境范式,围绕权力感影响主体道德判断的功利论倾向与道义论倾向展开,且研究观点尚未达成共识。由于传统两难困境范式的局限性,研究者开发了道德判断CNI模型探究权力感对道德判断的影响,该模型为两者之间的关系提供了新的解释路径。未来研究可关注CNI模型视角下不同类型权力感对道德判断的影响以及探讨特质性权力感与情境性权力感对个体道德判断差异的联合作用。     

High impulsivity,low self-control and problematic mobile phone use: The effect of poor sleep quality

Current Psychology - In order to ascertain the onset mechanism of problematic mobile phone use (PMPU), the current study tested the mechanism by which sleep quality is associated with PMPU though...     

The Association between Home Environment and Quality of Life in Children and Adolescents in Hangzhou City,China

To investigate the influence of the home environment, defined as family socioeconomic status (SES) (parent education level, household income), student resource-mediated SES (access to nutritional resources and cognitively stimulating experiences), reading ability, and difficulty with homework on quality of life in children and adolescents residing in urban and suburban areas in Hangzhou City, Zhejiang Province, China. This study included 3200 Grade 3–6 students from 8 elementary schools in Hangzhou City. Assessments included questionnaires that evaluated student quality of life, family SES, resource-mediated SES (dietary behavior and the home literacy environment), reading ability, and difficulty with homework. The effects of the home environment on student quality of life were analyzed by univariate analysis, multiple linear regression analysis, and structural equation modeling. Overall, 80.6% of students had a medium or better quality of life. Young age (Grade 3 or 4), female sex, household income of 10000–15000 RMB, high breakfast consumption, daily intake of fruit, a balanced diet, and good reading habits were positively correlated with student quality of life (P?<?0.05), while overuse of electronic devices was negatively correlated with quality of life (P?<?0.05). Dietary behaviors, home literacy environment, and student reading ability and difficulty with homework directly affected quality of life. Family SES indirectly affected student quality of life. Children and adolescents in China should have access to good nutrition and cognitively stimulating experiences to enhance their well-being and provide them with social and academic advantages.

     

Effects of containment and closure policies on controlling the COVID‐19 pandemic in East Asia

Growing efforts have been made to pool coronavirus data and control measures from countries and regions to compare the effectiveness of government policies. We examine whether these strategies can explain East Asia’s effective control of the COVID‐19 pandemic based on time‐series data with cross‐correlations between the Stringency Index and number of confirmed cases during the early period of outbreaks. We suggest that multidisciplinary empirical research in healthcare and social sciences, personality, and social psychology is needed for a clear understanding of how cultural values, social norms, and individual predispositions interact with policy to affect life‐saving behavioural changes in different societies.