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Educational Assessment, Evaluation and Accountability - Survey-based formats of assessing teaching quality in higher education are widely used and will likely continue to be used by higher...  相似文献   
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This paper examines whether the subjective beliefs on their competences of 409 trainees in machinery, sales, and logistics constitute a reliable and valid way to measure transferable competences. The analysis of results attributes satisfactory to good reliability values to the assessment procedure. Furthermore, it could be shown that young people with a higher dropout risk evaluated their methodological and social competences lower than those trainees with a lower dropout risk. Therefore it may be possible to prevent early dropout from vocational training through specific strengthening of these competences as well as through individual competence-based counselling during training.  相似文献   
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Multiple regression procedures are commonly used to investigate gender equity in faculty salary. However, a review of 19 case studies indicates that many of them fail to (a) adequately develop a regression model that examines the linear and nonlinear (i.e., interactive and curvilinear) relations between predictors and the criterion and (b) appropriately apply regression diagnostic statistics throughout salary model development. A seven-step process is presented as a comprehensive framework for testing allegations of gender discrimination in faculty salary. Steps include (a) identifying predictors of faculty salary, (b) identifying and establishing criteria for interpreting statistical tests and diagnostic procedures, (c) determining the criterion variable used in the salary model, (d) developing a salary model, (e) testing for gender discrimination in pay, (f) conducting diagnostic procedures to confirm the appropriateness of the final salary model, and (g) testing the assumptions of the regression model. An application of this model is presented using a case study (N = 725 faculty).  相似文献   
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Many different approaches, almost all of which use some form of regression, have been used to study the issue of gender equity in university faculty salaries. One major point of contention in ail of these approaches is whether faculty rank, which is university conferred, should be included as a predictor variable. Two illustrations are presented to demonstrate how omitting faculty rank as a predictor variable from gender equity studies of university faculty salaries can lead to incorrect conclusions concerning gender discrimination. The first illustration uses hypothetical data constructed so that there is no difference in salary due to gender. However, when faculty rank is not included as a predictor variable in the regression model, there is a significant difference in salary due to gender. The second illustration uses actual data from a study of gender equity in pay at Bowling Green State University. This data set is used to construct a new data set that is totally free of gender bias. When a regression model omitting faculty rank is fit to this gender bias-free data, again a significant difference in salary due to gender is present. Therefore, it is recommended that faculty rank be included as a predictor variable in any model used to study gender equity relating to salary.  相似文献   
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