1980
DOI: 10.1002/tea.3660170409
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How teachers perceive similarities and differences among various teaching models

Abstract: In the past 20 years a number of alternative models of teaching have been developed for use in the science classroom. Many of these models were developed t o permit teachers t o implement more validly specific science curriculum projects. The "science inquiry model''-really a broad array of models-has been used t o characterize the teaching of effective BSCS, CHEMS, CBA, PSSC, H P 2 , and ISCS teachers. In essence, this global model calls for the teacher t o present science as an active investigatory process. … Show more

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Cited by 9 publications
(3 citation statements)
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“…However, the researcher would select a scoring interval reasonably believed to be no more refined than the judgments that the respondents were believed to be making. Example applications have been reported by Thompson and Miller (1978) and Jones, Thompson, and Miller (1980).…”
Section: Another Solution: Use Of Graphic Scalesmentioning
confidence: 99%
“…However, the researcher would select a scoring interval reasonably believed to be no more refined than the judgments that the respondents were believed to be making. Example applications have been reported by Thompson and Miller (1978) and Jones, Thompson, and Miller (1980).…”
Section: Another Solution: Use Of Graphic Scalesmentioning
confidence: 99%
“…Standardization of variables is necessary in Q-mode 6–16 for comparison of samples. The standardization is achieved using normalization techniques.…”
Section: Response To the Correspondence Regarding The Article “Discrimentioning
confidence: 99%
“…1. variables as the columns of the data matrix, with people constituting the matrix rows, which Cattell labeled R-technique factor analysis (e.g., Thompson, Cook & Heath, 2003); 2. people as the columns of the data matrix, with variables constituting the matrix rows, which Cattell labeled Q-technique factor analysis (e.g., Thompson, 1980b); 3. variables as the columns of the data matrix, with occasions constituting the matrix rows, which Cattell labeled P-technique factor analysis (e.g., Cattell, 1953)-here the analysis might involve a single participant, or location statistics (e.g., means, medians, Huber estimators) summarizing for each variable and each occasion all the scores as a single number; 4. occasions as the columns of the data matrix, with variables constituting the matrix rows, which Cattell labeled O-technique factor analysis (e.g., Jones, Thompson & Miller, 1980)-here again the analysis might involve a single participant, or location statistics summarizing for each variable and each occasion all the scores as a single number;…”
mentioning
confidence: 99%