School emphasis on academic success: exploring changes in science performance in Norway between 2007 and 2011 employing two-level SEM

We study whether changes in school emphasis on academic success (SEAS) and safe schools (SAFE) may explain the increased science performance in Norway between TIMSS 2007 and 2011. Two-level structural equation modelling (SEM) of merged TIMSS data was used to investigate whether changes in levels of SEAS and SAFE mediate the changes in science performance. Two mediation models were fitted, one using subdomain scores of science as manifest dependent variables and one in which these scores are indicators of a latent science performance variable. The change in the latent science variable was fully mediated by SEAS, but this model did not explain changes in earth science performance, which increased more than the other subdomains. In the model with subdomain scores as manifest dependent variables, SEAS mediated the increased performance of all 4 subdomains of science. SAFE did not explain increased science performance but did have a positive impact on SEAS.     

对高职英语阅读教学中的技能强化研究

通过教学反思和学生的教学反馈意见,基于英语阅读教学基本要求和学生对英语阅读技能的渴望。研究在高职英语阅读教学中运用自下而上模型、自上而下模型和交互式模型三种阅读模型的理论强化学生的英语阅读技能。     

毛泽东“反特权阶层”思想与奥尔森破“分利联盟”理论的借鉴价值

一个社会失去了以群众利益为最高利益的价值观和不能为人民群众提供政治参与的渠道,在政治秩序超稳运行的条件下必定会形成由少数人共谋形成的垄断社会资源的既得利益集团,毛泽东称之为“特权阶层”,奥尔森称之为“分利联盟”。这种既得利益集团只关心如何在社会总财富中瓜分更大的份额,而不再关心如何创造更多的社会财富,其危害性一是使市场经济秩序不能扩展到全社会,阻碍市场经济的健康发展;二是造成政令不畅,政治体制出现肥大症和僵化症,最终危及政权存亡。只有批判继承毛泽东的群众思想和奥尔森的“司法一体化”原则去打破这些既得利益集团,才能有助于社会秩序的长治久安。     

Diagnosing Global Case Influence on MAR Versus MNAR Model Comparisons

When missingness is suspected to be not at random (MNAR) in longitudinal studies, researchers sometimes compare the fit of a target model that assumes missingness at random (here termed a MAR model) and a model that accommodates a hypothesized MNAR missingness mechanism (here termed a MNAR model). It is well known that such comparisons are only interpretable conditional on the validity of the chosen MNAR model’s assumptions about the missingness mechanism. For that reason, researchers often perform a sensitivity analysis comparing the MAR model to not one, but several, plausible alternative MNAR models. In the social sciences, it is not widely known that such model comparisons can be particularly sensitive to case influence, such that conclusions drawn could depend on a single case. This article describes two convenient diagnostics suited for detecting case influence on MAR–MNAR model comparisons. Both diagnostics require much less computational burden than global influence diagnostics that have been used in other disciplines for MNAR sensitivity analyses. We illustrate the interpretation and implementation of these diagnostics with simulated and empirical latent growth modeling examples. It is hoped that this article increases awareness of the potential for case influence on MAR–MNAR model comparisons and how it could be detected in longitudinal social science applications.     

Software review

STATISTICA 5.0. StatSoft, 2325 East 13th Street, Tulsa, OK 74104, (918) 583–4149. $995 retail, academic site license—$2,000 for 10 copies. Requirements: 386 or better, 4 Meg RAM, Microsoft Windows 3.1 or 95.     

Validation of the child sex abuse attitude scale through confirmatory factor analysis

A validation study was conducted on the Child Sex Abuse Attitude Scale (CSAAS) using confirmatory factor analysis (CFA) to examine factor structure. The CSAAS was developed based on Festinger's (1957) theory of attitude development resulting in a 4‐factor first‐order structure (cognition, value, affect, and behavior) and a single‐factor 2nd‐order structure (attitude). A sample of 215 school psychologists, members of the National Association of School Psychologists, responded to the CSAAS survey. CFA results supported the hypothesized factor structure of the CSAAS, thus indicating the plausibility of a 4‐factor 1st‐order and a single‐factor higher order structure of the CSAAS.     

Explaining Method Effects Associated With Negatively Worded Items in Trait and State Global and Domain-Specific Self-Esteem Scales

Several investigators have interpreted method effects associated with negatively worded items in a substantive way. This research extends those studies in different ways: (a) it establishes the presence of methods effects in further populations and particular scales, and (b) it examines the possible relations between a method factor associated with negatively worded items and several covariates. Two samples were assessed: 592 high school students from Valencia (Spain), and 285 batterers from the same city. The self-esteem scales used were Rosenberg's Self-Esteem Scale, the State Self-Esteem Scale, and Self-Esteem 17. Anxiety was also assessed with the State-Trait Anxiety Inventory, and gender and educational level were taken into account. The models were conducted using a multiple indicators and multiple causes (MIMIC) model framework. The evidence in this research pointed out that method effects were present across the different measures of self-esteem. Moreover, a significant and negative effect of anxiety on method effects was present across scales and samples, whereas no effects of age or educational level where found.     

Fitting Nonlinear Latent Growth Curve Models With Individually Varying Time Points

Individual growth trajectories of psychological phenomena are often theorized to be nonlinear. Additionally, individuals’ measurement schedules might be unique. In a structural equation framework, latent growth curve model (LGM) applications typically have either (a) modeled nonlinearity assuming some degree of balance in measurement schedules, or (b) accommodated truly individually varying time points, assuming linear growth. This article describes how to fit 4 popular nonlinear LGMs (polynomial, shape-factor, piecewise, and structured latent curve) with truly individually varying time points, via a definition variable approach. The extension is straightforward for certain nonlinear LGMs (e.g., polynomial and structured latent curve) but in the case of shape-factor LGMs requires a reexpression of the model, and in the case of piecewise LGMs requires introduction of a general framework for imparting piecewise structure, along with tools for its automation. All 4 nonlinear LGMs with individually varying time scores are demonstrated using an empirical example on infant weight, and software syntax is provided. The discussion highlights some advantages of modeling nonlinear growth within structural equation versus multilevel frameworks, when time scores individually vary.     

微信在大学英语教学中的应用

微信作为新的交流方式给网络化外语教育带来了新机遇。从微信的功能出发,阐述其在大学英语教学中的优势和特点,探讨在大学英语教学中的设计与应用模式,从而充分利用微信有效地促进大学英语教学。     

New lamps for old: financialised governance of cities and clean energy

ABSTRACT

Using a six-year case study of Glasgow’s Sustainable City business model, this paper examines interactions between financialised governance of cities and clean energy strategies. Research on the role of cities in developing clean energy has paid limited attention to the interaction with financialised governance of infrastructure, which makes the implementation of plans largely dependent on private investment. A conceptual approach combining economic sociology of actor networks and urban political economy is used to analyse the career of the business model designed to transform old infrastructures into new clean energy assets. The analysis focuses on interactions between city council, public bodies and electricity distribution network business. Climate policies are creating uncertainties for energy businesses over revenues from ageing networks, suggesting scope for alliance with local governments. Making new liquid assets for clean energy from old infrastructure is however shown to be a process marked by instability and reversals. In conclusion, it is argued that concepts from actor-network theory and urban political economy used together reveal the hidden contingencies of financialisation in particular socio-technical interactions, and their materiality in the context of climate change.