DocumentCode
585218
Title
Confirmatory factor analysis of a measurement model of creative teaching practices in design and technology using structural equation modeling
Author
Yasin, R.M. ; Mohammad, N.
Author_Institution
Fac. of Educ., Nat. Univ. of Malaysia, Bangi, Malaysia
fYear
2012
fDate
10-12 Sept. 2012
Firstpage
1
Lastpage
4
Abstract
The aim of this study is to test and compare the structural validity of two alternative hypothesized measurement models for the construct of creative teaching in design and technology by performing a confirmatory factor analysis (CFA) using a structural equation modeling approach A correlated two factors with the latent variables of creative personality and metacognition operation practices was compared to a correlated three-factors model with planning, monitoring and action as the latent variables. The creative teaching in design and technology (CT), consisting of 58 items from the 21 item creative personality (CP) and 37 item metacognition operation practice (MOP) was administered to 292 Living Skill teachers. The results using AMOS 18 software indicate that the three factor measurement model of creative teaching with χ2=376.231, p=0.01, χ2 /df =2.187, GFI=0.90, AGFI=0.87, RMR=0.014, RMSEA=0.064, provided a better fit compared to the two factors model. All factor loadings for the three-factor model were significant at the 0.001 level, with standardized coefficient, β ranging from 0.36 to 0.89. In conclusion, the three-factor model represents an adequate description of creative teaching in design and technology structure.
Keywords
cognition; design engineering; planning; professional aspects; teaching; AGF; AMOS 18 software; GFI; RMR; RMSEA; confirmatory factor analysis; creative personality; creative teaching practices; design and technology; hypothesized measurement models; latent variables; living skill teachers; metacognition operation practices; monitoring; planning; standardized coefficient; structural equation modeling; structural validity; three-factor measurement model; Analytical models; Data models; Education; Load modeling; Mathematical model; Monitoring; Planning; Confirmatory Factor Analysis; Creative Teaching; Design and Technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistics in Science, Business, and Engineering (ICSSBE), 2012 International Conference on
Conference_Location
Langkawi
Print_ISBN
978-1-4673-1581-4
Type
conf
DOI
10.1109/ICSSBE.2012.6396629
Filename
6396629
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