技术接受视角下的网络教学资源库用户使用意愿分析——以档案学教学资源库为例

学生用户的使用意愿是衡量网络教学资源库建设成败的重要标准。然而国内对其的关注却很有限。文章以技术接受模型为分析依据,选择档案学教学资源库作为具体研究对象,在假设感知有用性、感知易用性、感知成本、创新性、社会影响、态度六种因素共同影响用户对档案学教学资源库使用意愿的基础上,提出了档案学教学资源库实施的用户接受模型,并通过问卷调查和结构方程模型(SEM)进行实证研究,以验证模型和假设的科学性与合理性,从而为推动网络教学资源库的建设和发展提供启示与思路。     

基于城乡差异的大学生成长与CQA平台关系调查

基于社区的在线问答平台（CQA）在大学生课堂内外的学习和实践中扮演着越来越重要的角色,但是不断扩大的城乡贫富差距使城市大学生和农村大学生已经异化为不同的群体,而这些群体对于CQA的态度和接受度是否存在差异还缺少相应的研究。已有一些调查文献证明CQA系统对大学生自身成长具有积极的效应。这种效应在城乡大学生之间是否存在差异？农村学生对于CQA平台的态度和认知与城市学生相比有哪些不同？一项基于技术接受模型和自我决定理论的问卷对此进行了调查。在偏最小二乘的结构方程模型的数据分析下发现：相比于城市学生,农村学生从CQA的改进中所获得的收益较少;而相比于有用性,CQA在易用性方面的改进对学生的能力成长有着更为显著地效果,尽管目前系统在易用性上的表现还差强人意。     

教学文化的结构要素及其对学业成绩的影响效应研究

采用结构方程模型(SEM)研究教学文化(culture of teaching)的结构要素及其对学生学业成绩的影响效应。主要有以下发现:第一,教学的有效性(effective teaching)、学生的参与性(student engagement)和学习的主动性(learning motivation)是描述教学文化的有效要素。第二,教学文化的各结构要素与学业成绩具有显著相关性。第三,教学文化结构要素对学业成绩具有层次性影响关系:教学的有效性和学生的参与性对学习的主动性具有直接显著影响效应;学习的主动性对学生的学业成绩具有显著的直接影响效应;学习的主动性在教学的有效性、学生的参与性与学生学业成绩之间存在着显著的中介性影响效应;而教学的有效性、学生的参与性两个变量对学业成绩不存在显著的直接影响效应。本研究运用实证数据揭示了教学文化发生作用的动力机制,提出构建良性的教学文化必须以提高教学的有效性为前提,以提高学生学习的主动性为中心,通过提升教与学的品质,促进学生内生性的、可持续的发展。     

Investigation of the materials found in the studio of Francis Bacon (1909–1992)

Abstract

The investigation of materials found in Bacon's studio is reported. The contents of the studio are examined and interpreted to identify the materials and colours most favoured by Bacon, and the range of media used. A small number of colours appear to have been heavily used. Some objects used as tools in the painting process are also investigated and explain textures seen in paint in his works. Samples of selected materials from the studio are analysed to identify the components of paints (pigments, extenders, and binders) used by Bacon. This investigation is part of a wider project examining his materials and techniques. The analytical information obtained here from the studio helps to clarify the statements made by Bacon in interviews regarding his use of materials and is proving useful in the identification of materials in his paintings, in order to help with the conservation and authentication of his works.     

产学研协同创新的影响因素探析

产学研协同创新是开放式创新的重要模式之一。文章主要探析影响产学研协同创新的直接因素与间接因 素,对20 所已经挂牌“协同创新中心”的高校及部分相关合作单位进行问卷调查,运用结构方程模型,分析各影响因 素的影响程度,并根据运行结果提出根据影响强弱对各因素进行有效控制,以促进协同创新产出最大化。     

Examining the Performance of the Modified ADF Goodness-of-fit Test Statistic in Structural Equation Models

The asymptotically distribution-free (ADF) test statistic depends on very mild distributional assumptions and is theoretically superior to many other so-called robust tests available in structural equation modeling. The ADF test, however, often leads to model overrejection even at modest sample sizes. To overcome its poor small-sample performance, a family of robust test statistics obtained by modifying the ADF statistics was recently proposed. This study investigates by simulation the performance of the new modified test statistics. The results revealed that although a few of the test statistics adequately controlled Type I error rates in each of the examined conditions, most performed quite poorly. This result underscores the importance of choosing a modified test statistic that performs well for specific examined conditions. A parametric bootstrap method is proposed for identifying such a best-performing modified test statistic. Through further simulation it is shown that the proposed bootstrap approach performs well.     

Evaluation of Test Statistics for Robust Structural Equation Modeling With Nonnormal Missing Data

A 2-stage robust procedure as well as an R package, rsem, were recently developed for structural equation modeling with nonnormal missing data by Yuan and Zhang (2012). Several test statistics that have been used for complete data analysis are employed to evaluate model fit in the 2-stage robust method. However, properties of these statistics under robust procedures for incomplete nonnormal data analysis have never been studied. This study aims to systematically evaluate and compare 5 test statistics, including a test statistic derived from normal-distribution-based maximum likelihood, a rescaled chi-square statistic, an adjusted chi-square statistic, a corrected residual-based asymptotical distribution-free chi-square statistic, and a residual-based F statistic. These statistics are evaluated under a linear growth curve model by varying 8 factors: population distribution, missing data mechanism, missing data rate, sample size, number of measurement occasions, covariance between the latent intercept and slope, variance of measurement errors, and downweighting rate of the 2-stage robust method. The performance of the test statistics varies and the one derived from the 2-stage normal-distribution-based maximum likelihood performs much worse than the other four. Application of the 2-stage robust method and of the test statistics is illustrated through growth curve analysis of mathematical ability development, using data on the Peabody Individual Achievement Test mathematics assessment from the National Longitudinal Survey of Youth 1997 Cohort.     

基于结构方程模型的黄山市体育旅游产业集群实证研究

采用问卷调查、文献资料等方法,运用探索性因子分析和结构方程模型,分析了影响黄山市体育旅游产业集群形成的生产要素、政府政策、相关产业、竞争压力和需求条件五个因素,并就此提出了形成黄山市体育旅游产业集群的四个建议,旨在丰富体育旅游产业理论方面的研究,并为政府决策提供一定依据。     

Student evaluation of instruction in higher education: exploring issues of validity and reliability

Many personnel committees at colleges and universities in the USA use student evaluation of faculty instruction to make decisions regarding tenure, promotion, merit pay or faculty professional development. This study examines the construct validity and internal consistency reliability of the student evaluation of instruction (SEI) used at a large mid‐western university in the USA for both administrative and instructional purposes. The sample consisted of 73,500 completed SEIs for undergraduate students who self‐reported as freshman, sophomore, junior or senior. Confirmatory factor analysis via structural equation modelling was used to explore the construct validity of the SEI instrument. The internal consistency of students' ratings was reported to provide reliability evidence. The results of this study showed that the model fits the data for the sample. The significance of this study as well as areas for further research are discussed.     

A cross-national comparison of perceived strategic importance of RFID for CIOs in Germany and Italy

Purpose

Drawing from literature on innovation, strategy and culture the objective of this study is to explore the role of perceived potentials and perceived strategic importance on CIOs’ perspective on RFID technology in two different cultural settings.

Methodology

Based on survey responses from 463 German and 157 Italian IT decision makers we analyzed the data with PLS structural equation modeling.

Findings

We show that perceived potentials of RFID influence the perceived strategic importance which positively influences CIOs’ intention to invest in RFID. The composition of perceived potentials affecting the strategic importance of RFID differs significantly in both cultures. In Germany, potentials attributed to RFID are improving quality, automating manpower, reducing counterfeits, and improving customer service. Italian CIOs value reducing stock inconsistencies, optimizing stock keeping, and improving customer service as RFID potentials. Regardless of culture, findings show that company size hardly has impact on perceived strategic importance.

Originality/value

This research shows on a large empirical basis cultural differences in the perception of RFID in two countries using PLS.