The effects of classroom teaching on students' self-efficacy for personal development

The personal development of students is an essential component of school guidance and counselling programmes, but no published research on guidance and counselling has investigated the effects of regular classroom teaching on students' self-efficacy for personal development. In this study, questionnaire items were constructed to measure classroom teaching, student self-efficacy for personal development and student use of deep learning strategies. Data were collected from 16,208 secondary school students in Hong Kong. Using structural equation modelling, regular classroom teaching was found to have a direct effect on personal development self-efficacy as well as an indirect effect through student use of deep learning strategies. Implications of these findings for implementing a whole-school approach to guidance and counselling are discussed.     

Emergentism and supervenience physicalism

I argue that it is intuitive and useful to think about composition in the light of the familiar functionalist distinction between role and occupant. This involves factoring the standard notion of parthood into two related notions: being a parthood slot and occupying a parthood slot. One thing is part of another just in case it fills one of that thing's parthood slots. This move opens room to rethink mereology in various ways, and, in particular, to see the mereological structure of a composite as potentially outreaching the individual entities that are its parts. I sketch one formal system that allows things to have individual entities as parts multiple times over. This is particularly useful to David Armstrong, given Lewis's charge that his structural universals must do exactly that. I close by reflecting upon the nature and point of formal mereology.     

Personal vulnerability and work‐home interaction: The effect of job performance‐based self‐esteem on work/home conflict and facilitation

Innstrand, S. T., Langballe, E. M., Espnes, G. A., Aasland, O. G. & Falkum, E. (2010). Personal vulnerability and work‐home interaction: The effect of job performance‐based self‐esteem on work/home conflict and facilitation. Scandinavian Journal of Psychology 51, 480–487. The aim of the present study was to examine the longitudinal relationship between job performance‐based self‐esteem (JPB‐SE) and work‐home interaction (WHI) in terms of the direction of the interaction (work‐to‐home vs. home‐to‐work) and the effect (conflict vs. facilitation). A sample of 3,475 respondents from eight different occupational groups (lawyers, physicians, nurses, teachers, church ministers, bus drivers, and people working in advertising and information technology) supplied data at two points of time with a two‐year time interval. The two‐wave, cross‐lagged structural equations modeling (SEM) analysis demonstrated reciprocal relationships between these variables, i.e., job performance‐based self‐esteem may act as a precursor as well as an outcome of work‐home interaction. The strongest association was between job performance‐based self‐esteem and work‐to‐home conflict. Previous research on work‐home interaction has mainly focused on situational factors. This longitudinal study expands the work‐home literature by demonstrating how individual vulnerability (job performance‐based self‐esteem) contributes to the explanation of work‐home interactions.     

On the power of the test for cluster bias

Cluster bias refers to measurement bias with respect to the clustering variable in multilevel data. The absence of cluster bias implies absence of bias with respect to any cluster‐level (level 2) variable. The variables that possibly cause the bias do not have to be measured to test for cluster bias. Therefore, the test for cluster bias serves as a global test of measurement bias with respect to any level 2 variable. However, the validity of the global test depends on the Type I and Type II error rates of the test. We compare the performance of the test for cluster bias with the restricted factor analysis (RFA) test, which can be used if the variable that leads to measurement bias is measured. It appeared that the RFA test has considerably more power than the test for cluster bias. However, the false positive rates of the test for cluster bias were generally around the expected values, while the RFA test showed unacceptably high false positive rates in some conditions. We conclude that if no significant cluster bias is found, still significant bias with respect to a level 2 violator can be detected with an RFA model. Although the test for cluster bias is less powerful, an advantage of the test is that the cause of the bias does not need to be measured, or even known.     

结构方程模型常用拟合指数检验的实质

拟合指数检验是评价结构方程模型(SEM)的重要环节。从协方差结构分析的角度将SEM与传统的回归模型比较,容易理解为什么SEM需要拟合指数。揭示了目前几种流行的拟合指数检验的实质:基于卡方的绝对拟合指数(如RMSEA)检验的实质是重新设定卡方检验的显著性水平(不同于通常的.05),相对拟合指数(如NNFI和CFI)检验的实质是基于虚模型设定均方(卡方与自由度之比)降低到的比例;在NNFI大于临界值后,报告和检验CFI是不必要的。根据研究结果提出了一些方便实用的拟合检验建议。     

Structural heterogeneity in a binary Pd–Si metallic glass

A Pd₈₁Si₁₉ bulk metallic glassy rod with a diameter of 4.5 mm was produced by water quenching the fluxed alloy. Despite a negative heat of mixing between Pd and Si elements and very simple components constituting the binary Pd–Si glass-forming system, structural heterogeneity was induced either by slow cooling of a liquid or sub-T_g annealing of glassy ribbons. The sub-T_g annealing experiments evidenced that a more ordered amorphous phase emerged from the original glassy matrix. Our work provides an alternative way to tune the microstructure of metallic glasses by subsequent thermal treatment on an as-prepared single glassy phase.     

Structural stability of W2B5 under high pressure

High-pressure structural stability studies have been carried out on tungsten boride W₂B₅ up to maximum pressure of 36 GPa using a Mao-Bell diamond-anvil cell at beamline BR-12 of the ELETTRA synchrotron facility (λ = 0.68881 Å). The hexagonal phase (S.G:P6₃/mmc) of W₂B₅ is stable up to the maximum pressure studied. The bulk modulus is estimated to be ~347 GPa using the Birch–Murnaghan equation of state. The variation of lattice parameters and bond lengths B–B and W–B have been studied and the c-axis is seen to be marginally more compressible than the a-axis.     

Specifying the human body configuration

Three experiments investigated the specific spatial relations that define the human body configuration. In Experiment 1, participants searched for scrambled bodies amongst normal distractors. In Experiments 2 and 3 participants were asked to identify whether single body images (upright or inverted) were scrambled or normal. Scrambled bodies had head or limbs displaced to either symmetrical or asymmetrical positions. Experiment 1 showed that asymmetrical violations are recognized faster than symmetrical violations. All three experiments revealed that when the number of structural violations is held constant, head violations are recognized faster than limb violations. Experiment 3 also showed a greater inversion effect for scrambled bodies that maintained head on top and vertical symmetry, providing evidence that these are key spatial relations in the human body configuration. Overall, the results supported our hypothesis that the human body configuration is defined primarily by a head at the apex of a vertically symmetrical body.     

The Relation of Birth Order,Age of Mother,and Size of Family to Intelligence

Variables thought to be associated with the magnitude of interrelationship observed among the elements in a system of social attitudes were investigated. Subjects (N = 753) were asked to respond to an inventory requesting self-report and background data. Several weeks later, Ss were given two forms of the Social Attitude Scale, a scale tapping the liberalism-conservatism domain. The results indicated that those Ss who reported recent changes in religious, moral, or political attitudes displayed a more highly interconnected system of liberal-conservative attitudes than those who did not. Variables relating to active participation in social affairs tended to be associated with higher levels of attitude system organization. Sex differences were observed, with men displaying higher levels of system organization than women. This relationship held even when participation rates were taken into consideration.     

Handling Missing Covariates in Conditional Mixture Models Under Missing at Random Assumptions

Mixture modeling is a popular method that accounts for unobserved population heterogeneity using multiple latent classes that differ in response patterns. Psychologists use conditional mixture models to incorporate covariates into between-class and/or within-class regressions. Although psychologists often have missing covariate data, conditional mixtures are currently fit with a conditional likelihood, treating covariates as fixed and fully observed. Under this exogenous-x approach, missing covariates are handled primarily via listwise deletion. This sacrifices efficiency and does not allow missingness to depend on observed outcomes. Here we describe a modified joint likelihood approach that (a) allows inference about parameters of the exogenous-x conditional mixture even with nonnormal covariates, unlike a conventional multivariate mixture; (b) retains all cases under missing at random assumptions; (c) yields lower bias and higher efficiency than the exogenous-x approach under a variety of conditions with missing covariates; and (d) is straightforward to implement in available commercial software. The proposed approach is illustrated with an empirical analysis predicting membership in latent classes of conduct problems. Recommendations for practice are discussed.