Perception of parents as demonstrating the inherent merit of their values: Relations with self‐congruence and subjective well‐being

This study focuses on the parenting practice of inherent value demonstration (IVD), involving parents' tendency to express their values in behaviours and appear satisfied and vital while doing so. Data from Chinese college students (n = 89) confirmed the hypothesis that offspring's perception of their parents as engaged in IVD predicts offspring's subjective well‐being (SWB) through sense of self‐congruence. Importantly, these relations emerged also when controlling for fundamental autonomy‐supportive (FAS) parenting practices such as taking children's perspective, minimising control and allowing choice. These findings are consistent with the view that parents concerned with their children's sense of autonomy may do well to engage in IVD in addition to more fundamental autonomy‐supportive practices. Future research may examine the role of IVD in promoting authentic values that serve as an internal compass that guides children to act in ways that feel self‐congruent.     

Polytomous multilevel testlet models for testlet‐based assessments with complex sampling designs

A pplications of standard item response theory models assume local independence of items and persons. This paper presents polytomous multilevel testlet models for dual dependence due to item and person clustering in testlet‐based assessments with clustered samples. Simulation and survey data were analysed with a multilevel partial credit testlet model. This model was compared with three alternative models – a testlet partial credit model (PCM), multilevel PCM, and PCM – in terms of model parameter estimation. The results indicated that the deviance information criterion was the fit index that always correctly identified the true multilevel testlet model based on the quantified evidence in model selection, while the Akaike and Bayesian information criteria could not identify the true model. In general, the estimation model and the magnitude of item and person clustering impacted the estimation accuracy of ability parameters, while only the estimation model and the magnitude of item clustering affected the item parameter estimation accuracy. Furthermore, ignoring item clustering effects produced higher total errors in item parameter estimates but did not have much impact on the accuracy of ability parameter estimates, while ignoring person clustering effects yielded higher total errors in ability parameter estimates but did not have much effect on the accuracy of item parameter estimates. When both clustering effects were ignored in the PCM, item and ability parameter estimation accuracy was reduced.     

Psychiatric diagnoses of patients visiting a sleep disorder clinic due to dyssomnias

This study analyzed the demographic characteristics and psychiatric diagnoses of 90 consecutive patients who visited a sleep disorder clinic in Taiwan with complaints of insomnia (difficulty initiating or maintaining sleep, or nonrestorative sleep) or hypersomnia (excessive sleepiness as evidenced by either prolonged sleep episodes or daytime sleep episodes that occur almost daily). All subjects were interviewed using a sleep disturbance questionnaire and the structured Mini-International Neuropsychiatric Interview supplemented by the DSM-IV criteria for psychiatric diagnoses. Among 90 patients, 79 were classified as having insomnia and 11 had hypersomnia. 53 patients also had psychiatric diagnoses other than sleep disorders. Patients with insomnia had a significantly higher rate of comorbidities with other psychiatric diagnoses (65.8%) than did subjects with hypersomnia (9.1%). These results emphasize the importance of psychiatric evaluation of patients with complaints of sleep disturbance.     

基督教信仰"信与行"解析

基督教信仰的"信"有着多层含义,主要包含"单纯的信心"、"敬畏不惧怕"、"信靠"和"盼望";"行"主要指"爱"和从信而出的好行为.信与行的关系即马丁·路德理解的"因信称义",但由于人类的思维倾向及从"信"到"行"过程的复杂性,导致了许多现实问题.因此,考察信与行的关系要以其关系的内在根据为出发点全面把握,同时不能回避实际过程的复杂性.     

Two simple approximations to the distributions of quadratic forms

Many test statistics are asymptotically equivalent to quadratic forms of normal variables, which are further equivalent to with z_i being independent and following N(0,1). Two approximations to the distribution of T have been implemented in popular software and are widely used in evaluating various models. It is important to know how accurate these approximations are when compared to each other and to the exact distribution of T. The paper systematically studies the quality of the two approximations and examines the effect of the λ_i and the degrees of freedom d by analysis and Monte Carlo. The results imply that the adjusted distribution for T can be as good as knowing its exact distribution. When the coefficient of variation of the λ_i is small, the rescaled statistic is also adequate for practical model inference. But comparing T_R against will inflate type I errors when substantial differences exist among the λ_i, especially, when d is also large.     

Bayesian analysis of mixtures in structural equation models with non‐ignorable missing data

Structural equation models (SEMs) have become widely used to determine the interrelationships between latent and observed variables in social, psychological, and behavioural sciences. As heterogeneous data are very common in practical research in these fields, the analysis of mixture models has received a lot of attention in the literature. An important issue in the analysis of mixture SEMs is the presence of missing data, in particular of data missing with a non‐ignorable mechanism. However, only a limited amount of work has been done in analysing mixture SEMs with non‐ignorable missing data. The main objective of this paper is to develop a Bayesian approach for analysing mixture SEMs with an unknown number of components and non‐ignorable missing data. A simulation study shows that Bayesian estimates obtained by the proposed Markov chain Monte Carlo methods are accurate and the Bayes factor computed via a path sampling procedure is useful for identifying the correct number of components, selecting an appropriate missingness mechanism, and investigating various effects of latent variables in the mixture SEMs. A real data set on a study of job satisfaction is used to demonstrate the methodology.     

Are Risk‐Taking Persons Less Religious? Risk Preference,Religious Affiliation,and Religious Participation in Taiwan

The "risk-preference" thesis is a controversial topic in the sociology of religion. Thus far, cross-cultural empirical research on risk preference and religiosity has been meager. This study attempts to replicate Miller's ( Miller, Alan S. 2000 . Going to hell in Asia: The relationship between risk and religion in a cross cultural setting.   Review of Religious Research 42(1):5–18) study for Taiwanese society, using data from the 2007 Taiwan Social Change Survey (TSCS). Logistic regression results show that for the Taiwanese (1) risk preference has little estimated net effect on religious affiliation, but (2) the relationship between risk preference and frequency of religious participation is statistically significant.     

Determinants of Standard Errors of MLEs in Confirmatory Factor Analysis

This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found. Conditions under which monotonic relationships do not exist are also identified. Such functional relationships allow researchers to better understand the problem when significant factor loading estimates are expected but not obtained, and vice versa. What will affect the likelihood for Heywood cases (negative unique variance estimates) is also explicit through these relationships. Empirical findings in the literature are discussed using the obtained results.     

Learning fine-grained and category information in navigable real-world space

Spatial judgments are affected by both fine-grained and categorical knowledge. We investigated whether, and how, the two forms of knowledge are learned in real-world, navigable space, as well as the time course of learning each type of knowledge. Participants were Northwestern University undergraduates who estimated the locations of buildings and other landmarks on campus. The Northwestern campus is roughly divided into three regions whose borders are not easy to discern, either from a map or by navigation. Nevertheless, students often refer to these regions linguistically and use them when making housing decisions, choosing classes, and so forth. We found that knowledge of both the fine-grained configuration of locations and the regional distinctions increased with time. However, regional influences on judgments occurred later in students’ time on campus. Consequently, computed distances across the nonexistent border between north and south campus locations became more biased with time. The results have implications for understanding how spatial representations develop in navigable environments.