基于非财务信息的我国高校财务绩效评价实证研究

近年来我国高校财务绩效评价研究都以高校财务信息为研究对象,忽视了非财务信息的重要作用。本文运用多元统计方法和积累logistic回归对我国高校的非财务信息进行了实证研究。结果表明,高校必须从重视人力资源管理、提高科研能力、控制学术活动费用和合理进行高校合并这四个方面入手,来提高自身的财务绩效。     

社会化问答平台提问回复率的预测研究——以“百度知道”为例

[目的/意义] 基于社会化问答平台提问回复率较低的现状，通过预测提问回复率，能够为社会化问答平台提升用户活跃度与留存率，改善用户体验提供参考。[方法/过程] 以"百度知道"为研究平台，抓取平台设置的14个话题下共10 640条提问记录，从提问特征与提问者特征角度，构建提问回复率影响因素的研究框架。采用二元Logistic回归对影响因素进行数据验证，构建提问回复率的预测模型，对模型准确率进行验证。[结果/结论] 社会化问答平台提问回复率研究可改善平台信息服务质量与促进用户知识贡献行为，实验结果验证了研究模型在社会化问答平台提问回复率预测中的有效性。     

High-intensity endurance capacity assessment as a tool for talent identification in elite youth female soccer

ABSTRACT

Talent identification and development programmes have received broad attention in the last decades, yet evidence regarding the predictive utility of physical performance in female soccer players is limited. Using a retrospective design, we appraised the predictive value of performance-related measures in a sample of 228 youth female soccer players previously involved in residential Elite Performance Camps (age range: 12.7–15.3 years). With 10-m sprinting, 30-m sprinting, counter-movement jump height, and Yo-Yo Intermittent Recovery Test Level 1 (IR1) distance as primary predictor variables, the Akaike Information Criterion (AIC) assessed the relative quality of four penalised logistic regression models for determining future competitive international squads U17–U20 level selection. The model including Yo-Yo IR1 was the best for predicting career outcome. Predicted probabilities of future selection to the international squad increased with higher Yo-Yo IR1 distances, from 4.5% (95% confidence interval, 0.8 to 8.2%) for a distance lower than 440 m to 64.7% (95% confidence interval, 47.3 to 82.1%) for a score of 2040 m. The present study highlights the predictive utility of high-intensity endurance capacity for informing career progression in elite youth female soccer and provides reference values for staff involved in the talent development of elite youth female soccer players.     

Exploring the relationship between self‐efficacy and retention in introductory physics

The quantitative results of Sources of Self‐Efficacy in Science Courses‐Physics (SOSESC‐P) are presented as a logistic regression predicting the passing of students in introductory Physics with Calculus I, overall as well as disaggregated by gender. Self‐efficacy as a theory to explain human behavior change [Bandura [ 1977 ] Psychological Review, 84(2), 191–215] has become a focus of education researchers. Zeldin and Pajares [Zeldin & Pajares [ 2000 ] American Educational Research Journal, 37(1), 215] and Zeldin, Britner, and Pajares [ 2008 ] Journal of Research in Science Teaching, 45(9), 1036–1058] found evidence that men and women draw on different sources for evaluation of their self‐efficacy in science fields. Further, self‐efficacy is one of the primary dimensions of students' overall science identity and contributes to their persistence in physics [Hazari, Sonnert, Sadler, & Shanahan, 2010 Journal of Research in Science Teaching 47(8), 978–1003]. At Florida International University we have examined the self‐efficacy of students in the introductory physics classes from the perspective of gender theory, with the intention of understanding the subtleties in how sources of self‐efficacy provide a mechanism for understanding retention in physics. Using a sequential logistic regression analysis we uncover subtle distinctions in the predictive ability of the sources of self‐efficacy. Predicting the probability of passing for women relies primarily on the vicarious learning experiences source, with no significant contribution from the social persuasion experiences, while predicting the probability of passing for men requires only the mastery experiences source. © 2012 Wiley Periodicals, Inc. J Res Sci Teach 49: 1096–1121, 2012     

基于多目标的TSP模型在物流配送中的应用

本文以永州市为例,从配送中心的角度出发,以时间、费用、距离三个为参数指标,采用分支定界法建立多目标TSP模型,然后使用基于粒子群算法的满意度模型对其进行评价,得到了最佳运输线路的设计方案,为配送中心设计运输线路提供理论依据和实用参考价值。     

“The fouled player should not take the penalty himself”: An empirical investigation of an old German football myth

Abstract

In this study, we investigate the old German football myth that the fouled player should not take the resulting penalty himself, as he is at an increased risk of missing. Previous analyses are improved on as we adjust for potential confounders that might influence self-taking as well as successful penalty conversion. Our findings reveal some important predictors for self-taking but, somewhat surprisingly, neither self-taking nor any of the potential confounders predicts scoring a penalty kick.     

浅谈《劳动合同法》修正案下的高校劳务派遣用工机制

2012年底《劳动合同法》最新修正案公布,在同工同酬原则、适用岗位范围、人数比例控制等方面对劳务派遣用工提出了新的要求,高校作为用工单位深受影响,应加紧规范进程,尽快建立起科学的用工机制和管理体系。     

Understanding logistic regression analysis

Logistic regression is used to obtain odds ratio in the presence of more than one explanatory variable. The procedure is quite similar to multiple linear regression, with the exception that the response variable is binomial. The result is the impact of each variable on the odds ratio of the observed event of interest. The main advantage is to avoid confounding effects by analyzing the association of all variables together. In this article, we explain the logistic regression procedure using examples to make it as simple as possible. After definition of the technique, the basic interpretation of the results is highlighted and then some special issues are discussed.     

Digital Module 13: Monte Carlo Simulation Studies in Item Response Theory

In this digital ITEMS module, Dr. Brian Leventhal and Dr. Allison Ames provide an overview of Monte Carlo simulation studies (MCSS) in item response theory (IRT). MCSS are utilized for a variety of reasons, one of the most compelling being that they can be used when analytic solutions are impractical or nonexistent because they allow researchers to specify and manipulate an array of parameter values and experimental conditions (e.g., sample size, test length, and test characteristics). Dr. Leventhal and Dr. Ames review the conceptual foundation of MCSS in IRT and walk through the processes of simulating total scores as well as item responses using the two-parameter logistic, graded response, and bifactor models. They provide guidance for how to implement MCSS using other item response models and best practices for efficient syntax and executing an MCSS. The digital module contains sample SAS code, diagnostic quiz questions, activities, curated resources, and a glossary.     

农业院校学生赴农村就业意愿影响因素分析——以东北农业大学为例

本文以东北农业大学在校生为调查对象,发现学生性别、学生所学专业知识、学生未来求职薪酬水平、赴农村就业优惠政策了解程度等5个变量对东北农业大学学生赴农村就业的影响较显著。通过实证分析构建出推动高等农业院校学生赴农村就业的"313"模式,期待为高校毕业生职业规划与就业指导提供参考。