战略性人力资源管理作用机制研究综述   总被引：8，自引：0，他引：8       下载免费PDF全文

张剑  徐金梧  王维才 《科研管理》2006,27(3):135-140,145

战略性人力资源管理的影响机制是战略性人力资源管理研究领域中倍受关注,但至今未有结论的话题。本文综述了有关该主题的理论与实证研究现状,探讨了各家理论的意义与缺陷,同时分析了造成实证研究结果不一致的主要原因。在此基础上提出了未来研究的努力方向。  相似文献   

In the Spirit of What Might Be Lost: Troubling the Boundaries of Good Fit     

James S. Korcuska 《Counselor Education & Supervision》2016,55(3):154-158

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The Poor Fit of Model Fit for Selecting Number of Factors in Exploratory Factor Analysis for Scale Evaluation     

Amanda K. Montoya  Michael C. Edwards 《Educational and psychological measurement》2021,81(3):413

Model fit indices are being increasingly recommended and used to select the number of factors in an exploratory factor analysis. Growing evidence suggests that the recommended cutoff values for common model fit indices are not appropriate for use in an exploratory factor analysis context. A particularly prominent problem in scale evaluation is the ubiquity of correlated residuals and imperfect model specification. Our research focuses on a scale evaluation context and the performance of four standard model fit indices: root mean square error of approximate (RMSEA), standardized root mean square residual (SRMR), comparative fit index (CFI), and Tucker–Lewis index (TLI), and two equivalence test-based model fit indices: RMSEAt and CFIt. We use Monte Carlo simulation to generate and analyze data based on a substantive example using the positive and negative affective schedule (N = 1,000). We systematically vary the number and magnitude of correlated residuals as well as nonspecific misspecification, to evaluate the impact on model fit indices in fitting a two-factor exploratory factor analysis. Our results show that all fit indices, except SRMR, are overly sensitive to correlated residuals and nonspecific error, resulting in solutions that are overfactored. SRMR performed well, consistently selecting the correct number of factors; however, previous research suggests it does not perform well with categorical data. In general, we do not recommend using model fit indices to select number of factors in a scale evaluation framework.  相似文献   

高职数学实验课教学探索   总被引：3，自引：0，他引：3  

李坤琼 《重庆职业技术学院学报》2005,14(3):119-121

本文着重介绍了数学实验课的教训内容和方法，并详细分析了数学实验选修课的教学实践情况。  相似文献   

模糊前端活动对NPD绩效的影响——战略匹配的中介作用   总被引：1，自引：0，他引：1  

曹勇  孙合林  蒋振宇  罗紫薇 《科学学与科学技术管理》2016,(7):15-25

选取我国制造业部分行业的企业为研究对象,通过大样本问卷调查,基于战略管理视角,实证研究模糊前端(FFE)活动对新产品开发(NPD)绩效的影响机制,并重点分析战略匹配在二者之间的中介作用。结果表明:FFE活动的4个方面对战略匹配具有不同程度的正向影响;FFE活动对NPD绩效具有正向影响;战略匹配在FFE活动与NPD绩效之间起部分中介作用。  相似文献   

组织文化的影响和传播机制研究述评     

张勉  张德 《科学学研究》2003,21(Z1):177-182

近二十多年来,管理出现了软化的趋势,组织文化在管理中的重要性日益提高。文章主要从个体层面对组织文化的影响和传播机制研究进行了简要综述,并从理论和方法两个方面,针对已有研究的不足,对进一步的研究方向提出了构想和建议。  相似文献   

测量τ~ τ~-(γ)衰变道的Z°参数     

许亚娣 《中国科学院研究生院学报》1992,(2)

文中研究了 L_3探测器在1990年3月至8月间采集的 Z~0能区 e~ e~-→τ~ τ~-(γ)事例,计算各能量点对应的反应截面和前后电荷不对称性,并由此拟合得到 Z°的弱电参数М_z、Г_z、Г_τ以及和 sin~2w.结果与标准模型的预言相符合.  相似文献   

转型背景下企业EBMI与ETI的适配模式研究     

张美丽  冯志山  樊养俭 《科研管理》2020,41(8):277-288

本文以山西省传统资源型制造企业为研究载体,从创新生态化视角,通过理论分析,提出了不同生命周期阶段企业的商业模式创新生态化（EBMI）与技术创新生态化（ETI）的匹配模式研究假设。运用匹配测度模型与GE矩阵分析相结合的方法,选取239家企业为样本数据,对假设进行了检验和讨论,结果显示：初创期或蜕变期,企业表现出新颖型EBMI与探索型ETI的最佳匹配模式;成长期表现出效率型EBMI与利用型ETI的最佳匹配模式;成熟期表现出系统型EBMI与双元型ETI的最佳匹配模式。该研究为企业在不同时期开展生态价值与经济价值协同创造的创新活动中,选择合适的创新生态化匹配模式,促进企业转型提供一定的理论参考。  相似文献   

Developing a Rasch Measurement Physical Fitness Scale for Hong Kong Primary School-Aged Students     

Zi Yan  Trevor G. Bond 《Measurement in physical education and exercise science》2013,17(3):182-203

The main purpose of this study was to develop a Rasch Measurement Physical Fitness Scale (RMPFS) based on physical fitness indicators routinely used in Hong Kong primary schools. A total of 9,439 records of students' performances on physical fitness indicators, retrieved from the database of a Hong Kong primary school, were used to develop the Rasch scale. Following a series of iterative Rasch analyses that adopted the “data should fit the model” approach, four physical fitness indicators (i.e., 6-min run, 9-min run, 1-min sit-ups, and dominant handgrip) were successfully calibrated to form the RMPFS. The RMPFS and its scale indicators showed fit to the Rasch model sufficient for the intended purposes of measuring the overall fitness of children. The overall physical fitness measure reflects children's fitness on three key core components of physical fitness (i.e., cardio-respiratory fitness, muscular endurance, and muscular strength). Advantages of the RMPFS are discussed, and recommendations for future research follow. The findings of this study provide a better knowledge basis for interpreting children's physical fitness assessment results.  相似文献   

Bootstrapping Confidence Intervals for Fit Indexes in Structural Equation Modeling     

Xijuan Zhang 《Structural equation modeling》2016,23(3):392-408

Bootstrapping approximate fit indexes in structural equation modeling (SEM) is of great importance because most fit indexes do not have tractable analytic distributions. Model-based bootstrap, which has been proposed to obtain the distribution of the model chi-square statistic under the null hypothesis (Bollen & Stine, 1992), is not theoretically appropriate for obtaining confidence intervals (CIs) for fit indexes because it assumes the null is exactly true. On the other hand, naive bootstrap is not expected to work well for those fit indexes that are based on the chi-square statistic, such as the root mean square error of approximation (RMSEA) and the comparative fit index (CFI), because sample noncentrality is a biased estimate of the population noncentrality. In this article we argue that a recently proposed bootstrap approach due to Yuan, Hayashi, and Yanagihara (YHY; 2007) is ideal for bootstrapping fit indexes that are based on the chi-square. This method transforms the data so that the “parent” population has the population noncentrality parameter equal to the estimated noncentrality in the original sample. We conducted a simulation study to evaluate the performance of the YHY bootstrap and the naive bootstrap for 4 indexes: RMSEA, CFI, goodness-of-fit index (GFI), and standardized root mean square residual (SRMR). We found that for RMSEA and CFI, the CIs under the YHY bootstrap had relatively good coverage rates for all conditions, whereas the CIs under the naive bootstrap had very low coverage rates when the fitted model had large degrees of freedom. However, for GFI and SRMR, the CIs under both bootstrap methods had poor coverage rates in most conditions.  相似文献