Measuring Long‐Term Patterns of Political Secularization and Desecularization: Did They Happen or Not?

Political secularization theories have predicted religion's decline in public and political life, and desecularization theories have predicted the reverse trend. However, there is little agreement on the timing of either phenomenon or even their existence. Until now, deep empirical tests of any of these were hampered by lack of historical country‐level data on religious preferences of governments (previously used data sets go back only to 1990). However, the new Government Religious Preference data set (GRP) measures state religion from 2015 back to the 1800s. Using GRP data, this article offers the first long‐term quantitative measurement of political secularization and in doing so, weighs in on competing claims regarding its timing. This article finds strong support that political secularization happened gradually over the long 19th century, accelerated after World War II, and peaked in the 1970s or 1980s. In contrast, the article finds only tepid support for the existence of political desecularization overall.     

Trifactor Models for Multiple-Ratings Data

In this study we extend and assess the trifactor model for multiple-ratings data in which two different raters give independent scores for the same responses (e.g., in the GRE essay or to subset of PISA constructed-responses). The trifactor model was extended to incorporate a cross-classified data structure (e.g., items and raters) instead of a strictly hierarchical structure. we present a set of simulations to reflect the incompleteness and imbalance in real-world assessments. The effects of the rate of missingness in the data and of ignoring differences among raters are investigated using two sets of simulations. The use of the trifactor model is also illustrated with empirical data analysis using a well-known international large-scale assessment.     

Quality home visits: Activities to promote meaningful interactions

Examination of and support for specific practices that promote high-quality home visiting are essential as family support programs continue to expand across the country. The current study used direct observation of 91 home visits across 41 home visitors to examine relations among interaction partners, content of the interactions, the home-visitors’ activities, and quality of home-visitors’ practices and family-members’ engagement within programs funded by the Maternal, Infant, and Early Childhood Home Visiting program. More time spent in triadic interactions focused on child-related content, as measured by the Home Visit Rating Scale-Revised, was related to higher quality of family engagement in home visits, as measured with the Home Visit Observation Rating Scales. Time spent in adult-focused interactions and administrative tasks, however, was related to lower quality of home-visiting practices and family engagement. Implications for research and practice are discussed.     

让自适应测验更知人善选——基于推荐系统的选题策略

基于推荐系统中协同过滤推荐的思想, 提出两种可以利用已有答题者数据的CAT选题策略：直接基于答题者推荐(DEBR)和间接基于答题者推荐(IEBR)。通过两个模拟研究, 在不同题库和不同长度的测验中, 比较了两种推荐选题策略与两种传统选题策略(FMI和BAS)在测量精度和对题目曝光率控制上的表现, 以及影响推荐选题策略表现的因素。结果发现：两种推荐选题策略对题目曝光率的控制优于两种传统选题策略, 测量精度不亚于BAS方法, 其中DEBR侧重选题精度, IEBR对题目曝光率控制最好。已有答题者数据的特点和质量是影响推荐选题策略表现的主要因素。     

Perception2

The article is an overview of some central philosophical problems associated with perception. It discusses what distinguishes perception from other sensory capacities and from conception. It discusses anti‐individualism, a view according to which the nature of a perceptual state is dependent not just causally but for its identity or ‘essence’ on relations to a normal environment in which systems containing that state were formed. It discusses different views about epistemic warrant. By emphasising the deep ways in which human and animal perceptual systems, especially visual systems, are similar, it criticises a dominant view of the last century, in both philosophy and large parts of psychology, according to which a range of sophisticated supplementary abilities have to be learned before a child can perceive objective features of the physical world.     

La protection des données personnelles des patients face à la modernisation de notre système de santé

With the Internet and the artificial intelligence, the collection of personal data is becoming a strategic element for the digital economy. The collection of information touching the health or the body must respect the patients’ rights. The GDPR came into effect on May 25th, 2018. The healthcare professionals who are established in a Member state, must be careful because they can base their exercise on clinical or biological elements of their patients.     

A multidimensional examination of marital conflict and subjective health over 16 years

Guided by stress process perspectives, this study conceptualizes marital conflict as a multidimensional stressor to assess how three aspects of conflict—frequency of disagreements, breadth of disagreements, and cumulative disagreements—impact subjective health. Longitudinal data of married couples spanning 16 years (n = 373 couples) were analyzed using multilevel modeling. For husbands, more frequent disagreements than usual within a given year were associated with poorer subjective health. For wives, the greater cumulative effects of disagreements over 16 years were harmful for subjective health. We discuss how gendered self‐representations and relationship power issues help explain the findings. This research demonstrated the importance of examining multiple aspects of marital conflict to reveal that their subjective health consequences function differently for wives and husbands.     

Kernel principal component analysis combining rotation forest method for linearly inseparable data

Rotation forest (RoF) is an ensemble classifier combining linear analysis theories and decision tree algorithms. In recent existing works, RoF was widely applied to various fields with outstanding performance compared to traditional machine learning techniques, given that a reasonable number of base classifiers is provided. However, the conventional RoF algorithm suffers from classifying linearly inseparable datasets. In this study, a hybrid algorithm integrating kernel principal component analysis (KPCA) and the conventional RoF algorithm is proposed to overcome the classification difficulty for linearly inseparable datasets. The radial basis function (RBF) is selected as the kernel for the KPCA method to establish the nonlinear mapping for linearly inseparable data. Moreover, we evaluate various kernel parameters for better performance. Experimental results show that our algorithm improves the performance of RoF with linearly inseparable datasets, and therefore provides higher classification accuracy rates compared with other ensemble machine learning methods.     

长时间相处是亲子关系的保护性因素吗？——疫情背景下基于微博大数据的质性分析

目的：采用大数据技术与质性分析相结合的方式,探索疫情期间青少年长时间与父母相处的条件下,亲子冲突的演变特征。方法：利用Python3.8编写程序,以“亲子冲突、初中生、高中生、青少年、冲突、父母、与父母冲突”等为关键词在微博平台上搜索个人发布的内容,经数据整理,选择286条微博文本纳入文本分析,用NVivo12质性分析软件辅助编码。结果：亲子冲突的表达包含了冲突诱因、冲突类型、冲突领域,和冲突管理策略等四个方面的特征。结论：研究建构了冲突诱因、冲突领域、冲突类型和冲突应对策略之间的关系模型。亲子冲突的发生是在社会文化背景下,由于家庭功能失调引发的亲子互动方式异常。亲子冲突发生以后,取积极应对策略有助于家庭功能的良性调节。     

A latent topic model with Markov transition for process data

We propose a latent topic model with a Markov transition for process data, which consists of time-stamped events recorded in a log file. Such data are becoming more widely available in computer-based educational assessment with complex problem-solving items. The proposed model can be viewed as an extension of the hierarchical Bayesian topic model with a hidden Markov structure to accommodate the underlying evolution of an examinee's latent state. Using topic transition probabilities along with response times enables us to capture examinees' learning trajectories, making clustering/classification more efficient. A forward-backward variational expectation-maximization (FB-VEM) algorithm is developed to tackle the challenging computational problem. Useful theoretical properties are established under certain asymptotic regimes. The proposed method is applied to a complex problem-solving item in the 2012 version of the Programme for International Student Assessment (PISA).