Generalized full-information item bifactor analysis

Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group analysis and inflexible in the types of item response models supported. We propose a flexible multiple-group item bifactor analysis framework that supports a variety of multidimensional item response theory models for an arbitrary mixing of dichotomous, ordinal, and nominal items. The extended item bifactor model also enables the estimation of latent variable means and variances when data from more than 1 group are present. Generalized user-defined parameter restrictions are permitted within or across groups. We derive an efficient full-information maximum marginal likelihood estimator. Our estimation method achieves substantial computational savings by extending Gibbons and Hedeker's (1992) bifactor dimension reduction method so that the optimization of the marginal log-likelihood requires only 2-dimensional integration regardless of the dimensionality of the latent variables. We use simulation studies to demonstrate the flexibility and accuracy of the proposed methods. We apply the model to study cross-country differences, including differential item functioning, using data from a large international education survey on mathematics literacy.     

留学经验与艺术创造力

采用两个艺术创造力测量任务比较了中国留学生、德国大学生和中国国内学生的艺术创造力水平。使用共感评价技术作为评判艺术作品创造程度、技术水平等维度的方法。研究发现:(1)在艺术创造力任务中,中国留学生没有表现出比中国国内学生的优势,说明可能多元文化经验对创造力表达的影响是有条件的;(2)德国学生的艺术创造力水平高于中国学生,本结果支持前人研究中有关个人主义文化相对于集体主义文化更有助于创造力表达的相关假设;(3)共感评价技术是艺术创造力研究的有效工具。     

High-dimensional Exploratory Item Factor Analysis by A Metropolis–Hastings Robbins–Monro Algorithm

A Metropolis–Hastings Robbins–Monro (MH-RM) algorithm for high-dimensional maximum marginal likelihood exploratory item factor analysis is proposed. The sequence of estimates from the MH-RM algorithm converges with probability one to the maximum likelihood solution. Details on the computer implementation of this algorithm are provided. The accuracy of the proposed algorithm is demonstrated with simulations. As an illustration, the proposed algorithm is applied to explore the factor structure underlying a new quality of life scale for children. It is shown that when the dimensionality is high, MH-RM has advantages over existing methods such as numerical quadrature based EM algorithm. Extensions of the algorithm to other modeling frameworks are discussed.     

集体所有权的层次及其法律政策选择

集体和集体所有权是一个问题的两个方面,明确了集体的含义也就明确了集体所有权的含义。应当区分集体所有权在宪法、物权法与企业法上的不同含义。宪法意义上的集体所有权构成集体法律制度设计的强制性限制条件。物权法意义的集体所有权应当进行法人所有权的法律构成。集体土地可以通过多种多样的用益物权实现民事主体的独立性和民事权利的有效流转。企业法意义的集体所有权则应当给当事人的意思自治留下充分的空间。     

四川凉山彝族的"尼"与我国北方萨满的传承比较研究

凉山彝族的宗教和我国北方萨满教都属于原始宗教,凉山彝族的宗教职业者之一尼与北方萨满在传承上有许多相同之处,但由于各自社会发展的差异性,因此也带来了各自的区别与特色.     

Coh-Metrix: Analysis of text on cohesion and language

Advances in computational linguistics and discourse processing have made it possible to automate many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix, which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers, templates, corpora, latent semantic analysis, and other components that are widely used in computational linguistics. After the user enters an English text, Coh-Metrix returns measures requested by the user. In addition, a facility allows the user to store the results of these analyses in data files (such as Text, Excel, and SPSS). Standard text readability formulas scale texts on difficulty by relying on word length and sentence length, whereas Coh-Metrix is sensitive to cohesion relations, world knowledge, and language and discourse characteristics.     

Environmental attitudes in China: The roles of the Dark Triad,future orientation and place attachment

Given the current environmental situation and social change in China, we explored the relationships between the Dark Triad traits (Machiavellianism, narcissism and psychopathy) and environmental attitudes (beliefs regarding environmentally related issues), and the mediating roles of future orientation (the tendency to plan for meeting long‐term objectives) and place attachment (the emotional connection with the place of residence) in these relationships. Using a national sample from all 31 provinces of mainland China (N = 998), we found that the psychometric structure of the Dark Triad was well confirmed under Chinese culture. The Dark Triad as a whole was negatively related to environmental attitudes, but narcissism was not significantly associated with environmental attitudes when the three Dark Triad traits were considered as the predictors simultaneously. Future orientation and place attachment mediated the association between the Dark Triad and environmental attitudes. These findings enrich our understanding of the relevant variables of environmental attitudes and provide references for China's government and other developing countries to improve environmental issues. The uniqueness of narcissism could expand the understanding of the commonality and diversity among the Dark Triad traits, and an efficient tool of the Dark Triad was provided under Chinese culture.     

Alternative Multiple Imputation Inference for Categorical Structural Equation Modeling

The use of item responses from questionnaire data is ubiquitous in social science research. One side effect of using such data is that researchers must often account for item level missingness. Multiple imputation is one of the most widely used missing data handling techniques. The traditional multiple imputation approach in structural equation modeling has a number of limitations. Motivated by Lee and Cai’s approach, we propose an alternative method for conducting statistical inference from multiple imputation in categorical structural equation modeling. We examine the performance of our proposed method via a simulation study and illustrate it with one empirical data set.     

生育年龄限制感提高女性的计划生育数量

近几年我国已陷入低生育率国家的行列, 提高育龄女性的生育意愿迫在眉睫。本研究结合心理阻抗以及毕生控制理论, 探索女性对于生育的年龄限制的知觉对于其生育意愿和计划生育数量的影响。研究1为问卷研究, 结果显示, 女性距离自己认为的理想生育年龄越接近时, 生育意愿越强烈。研究2和研究3为实验法研究, 分别启动未婚女性(研究2)和已婚女性(研究3)对于女性生育年龄的限制感。结果表明, 生育年龄的时间限制可以提升未婚女性对儿童的内隐态度和已婚女性的计划生育数量。研究2还发现, 这种提升效果对于前测生育意愿高的女性影响更大, 且将最佳生育年龄设定为26岁的提升效果优于设定为32岁。本研究的结果表明, 生育限制感可以提高女性的生育意愿。创设女性对适宜生育的年龄有限制感的环境, 将有助于提升育龄女性的生育意愿。不建议以进一步放开人口生育指标(如全面放开生育数量的限制)作为提高生育率的手段, 这反而可能导致育龄女性的生育意愿进一步下滑。     

大学生宽恕行为抑制机制的个体差异多因素系统模型的初步建构

为探讨神经质特质、大学生宽恕行为、焦虑型依恋及攻击型幽默风格之间的关系,选取550名大学生为被试,采用大五人格问卷、情景宽恕问卷、成人依恋问卷及幽默风格量表进行测试。结果表明：（1）神经质对大学生宽恕行为有显著的正向影响,并间接地通过焦虑型依恋对大学生宽恕行为产生作用;（2）攻击型幽默风格在神经质对大学生宽恕行为的影响中起显著的调节作用,具体而言,在高攻击型幽默风格水平下,神经质对大学生宽恕行为的预测更强。