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81.
Michael J. Lichtenstein Steven V. Owen Cheryl L. Blalock Yan Liu Kacy A. Ramirez Linda A. Pruski Carolyn E. Marshall Mary Anne Toepperwein 《科学教学研究杂志》2008,45(5):600-616
The central purposes of this study were to review the development and evolution of the Scientific Attitude Inventory (SAI) and then reevaluate the psychometric properties of the revised form of the SAI, the Scientific Attitude Inventory II (SAI‐II). The SAI‐II was administered to a convenience sample of 543 middle and high school students from five teachers in four schools in four school districts in San Antonio, Texas, at the beginning of the 2004–2005 school year. Confirmatory factor analysis on the full data set failed to support the existence of a 12‐factor structure (as proposed by the scale developers) or a one‐factor structure. The data were then randomly divided into exploratory [exploratory factor analysis (EFA)] validation and confirmatory [confirmatory factor analysis (CFA)] cross‐validation sets. Exploratory and confirmatory models yielded a three‐factor solution that did not fit the data well [χ2 (321) = 646, p < .001; RMSEA = .061 (.90 CI = .054–.068); and CFI = .81]. The three factors were labeled “Science is About Understanding and Explaining” (13 items), “Science is Rigid” (6 items), and “I Want to Be a Scientist” (8 items). The α‐coefficients for these three factors ranged from 0.59 to 0.85. Whether these identified subscales are valid will require independent investigation. In this sample, and consistent with prior publications, the SAI‐II in its current form did not have satisfactory psychometric properties and cannot be recommended for further use. © 2008 Wiley Periodicals, Inc. J Res Sci Teach 45: 600–616, 2008 相似文献
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The development of external, nontraditional degree programs has stimulated discussion as to the usefulness of the diplomas received through such programs. Questionnaires completed by 686 graduates of Illinois' statewide Board of Governors Bachelor of Arts Degree Program measure the extent to which the degree is acceptable to graduates and their employers, the degree to which student goals were met upon graduation, the quality of program services, and the success rate of students applying to graduate schools. The results are overwhelmingly positive, suggesting that non-traditional degrees are gaining general acceptance among a wide variety of groups.For assistance in collecting, tabulating and analyzing data for this article, the authors are grateful to C. Edward Gilpatric, Judith Hofstrand, Elizabeth Stanley, and Donald Tedder. 相似文献
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This paper deals with an application of PERT to R & D scheduling for the National Center for Drug Analysis, U. S. Food and Drug Administration. The Center is a pharmaceutical-chemistry laboratory having specialized functional responsibilities for research and development of analytical chemical procedures. The model was constructed based on the empirical data obtained at the Center for a five-year period. The model has been statistically tested and interpreted. It assists the management of the Center in developing a complete work-planning process and in controlling the project tasks, thus achieving the effective utilization of human and physical resources. 相似文献
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