Underachievement and Attributions Among Students Attending Schools Stratified by Student Ability

Underachievement among students tends to be a social product. In this case, schools stratified to admit students of lower academic ability might be more likely to produce underachievers. A reason for this is the encouragement of external attribution and the discouragement of internal attribution among students in these schools. These hypotheses get support from a study of 2720 junior high school students in Hong Kong. This study shows that the hypothesized relationships generally held for six alternative methods of identifying underachievers.     

变性术后患者心理状况的影响因素分析及对策

变性术后的患者是个特殊的弱势群体,心理问题非常突出,它是生理、个人、家庭、社会等多种因素交互影响的结果;因此,通过社会、家庭及个体的共同努力,帮助其建立良好的个体心理模式,稳定其心理状态,可促进其心理的健康发展,这对于变性手术的成功和帮助变性后患者重新走向社会有重要意义.     

The Advanced Programmer's Reliance on Program Semantics: Evidence from some Cognitive Tasks

This study examined the effects of programming expertise on the semantic processing of computer programs. Experiment 1 showed that sensitivity to semantic changes (i.e. changes of actual program functions) in a BASIC program recognition task increased with programming experience. No such pattern was observed for surface changes (i.e. changes of program syntax without functional alterations). The magnitude of semantic priming for BASIC keywords in a lexical decision task also increased with expertise, but the pattern was not found with normal English priming. In Experiment 2, novice BASIC programmers detected more semantic changes than the controls (non-programmers) in BASIC programs; the reverse was found for surface changes. Both the controls and the novices detected more semantic than surface changes in English passages. The BASIC priming effect was found only with the novices whereas English priming was demonstrated with both the control and the novice participants. The present findings support the view that the programming expert relies particularly on semantic processing and such reliance is specific to programming activities. Practical implications of the present results are discussed.     

Validation of a Chinese Version of the Psychological Sense of School Membership (C-PSSM): Tests of Measurement Invariance and Latent Mean Differences

This study examined the factorial structure of the Chinese version psychological sense of school membership scale (C-PSSM) (Cheung and Hui Asia Pacific Education Review, 4(1), 67–74, 2003). Five hundred and thirty-four university students from Hong Kong completed an 18-item C-PSSM and data were analyzed using exploratory factor analysis and confirmatory factor analysis. In addition, tests of measurement invariance and latent mean differences were performed. From the results of the CFA, two items were deleted and a 3-factor, 16-item C-PSSM model was found to have an acceptable fit, with acceptable level of internal consistency for each factor and the overall scale. Measurement invariance (configural, metric, and partial scalar) of the 16-item C-PSSM was supported and the tests of latent mean differences revealed no statistical significance in factor score differences between male and female participants in this study. Overall, this study contributed to the literature by generating new insights on to the psychological sense of school membership through validating the C-PSSM on a sample from a culture and age group different from those reported in the current literature.     

A Guide to Conducting a Meta-Analysis

Meta-analysis is widely accepted as the preferred method to synthesize research findings in various disciplines. This paper provides an introduction to when and how to conduct a meta-analysis. Several practical questions, such as advantages of meta-analysis over conventional narrative review and the number of studies required for a meta-analysis, are addressed. Common meta-analytic models are then introduced. An artificial dataset is used to illustrate how a meta-analysis is conducted in several software packages. The paper concludes with some common pitfalls of meta-analysis and their solutions. The primary goal of this paper is to provide a summary background to readers who would like to conduct their first meta-analytic study.     

The Tractarian Operation N and Expressive Completeness

The purpose of this paper is threefold. First, I visit the Fogelin–Geach-dispute, criticizeMiller's interpretation of the Geachian notationN(x:N(fx)) and conclude that Fogelin's argumentagainst the expressive completeness of the Tractariansystem of logic is unacceptable and that the adoptionof the Geachian notation N(x:fx) would not violate TLP5.32. Second, I prove that a system of quantificationtheory with finite domains and with N as the solefundamental operation is expressively complete. Lastly, I argue that the Tractarian system is apredicate-eliminated many-sorted theory (withoutidentity) with finite domains and with N as the solefundamental operation, and thus is expressivelycomplete.     

Four Covariance Structure Models for Canonical Correlation Analysis: A COSAN Modeling Approach

The mathematical connection between canonical correlation analysis (CCA) and covariance structure analysis was first discussed through the Multiple Indicators and Multiple Causes (MIMIC) approach. However, the MIMIC approach has several technical and practical challenges. To address these challenges, a comprehensive COSAN modeling approach is proposed. Specifically, we define four COSAN-CCA models to correspond with four possible combinations of the data to be analyzed and the unique parameters to be estimated. In terms of the data, one can analyze either the unstandardized or standardized variables. In terms of the unique parameters, one can estimate either the weights or loadings. Besides the unique parameters of each COSAN-CCA model, all four COSAN-CCA models also estimate the canonical correlations as their common parameters. Taken together, the four COSAN-CCA models provide the correct point estimates and standard error estimates for all commonly used CCA parameters. Two numeric examples are used to compare the standard error estimates obtained from the MIMIC approach and the COSAN modeling approach. Moreover, the standard error estimates from the COSAN modeling approach are validated by a simulation study and the asymptotic theory. Finally, software implementation and future extensions are discussed.     

A prologue to nostalgia: savouring creates nostalgic memories that foster optimism

How are nostalgic memories created? We considered savouring as one process involved in the genesis of nostalgia. Whereas nostalgia refers to an emotional reflection upon past experiences, savouring is a process in which individuals deeply attend to and consciously capture a present experience for subsequent reflection. Thus, having savoured an experience may increase the likelihood that it will later be reflected upon nostalgically. Additionally, to examine how cognitive and emotional processes are linked across time, we tested whether nostalgia for a previously savoured experience predicts optimism for the future. Retrospective reports of having savoured a positive event were associated with greater nostalgia for the event (Study 1). Retrospective reports of savouring a time period (college) were associated with greater nostalgia for that time period when participants were in a setting (alumni reunion event) that prompted thoughts of the time period (Study 2). Savouring an experience predicted nostalgia for the experience 4–9 months later (Study 3). Additionally, nostalgia was associated with greater optimism (Studies 2-3). Thus, savouring provides a foundation for nostalgic memories and an ensuing optimism.