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      The Development and Construct Validation of Scientific Epistemological Beliefs Inventory

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          Abstract

          Objective- Based on Schommer theory, the present study was conducted to construct and validate epistemological beliefs inventory for science (EBIS) in Malaysian context. Type the brief purpose of the paper and illustrate the direction that is taken, whether it is empirical or theoretical testing in analyzing the research subject. Methodology/Technique The survey data from 450 matriculation students and 350degree students were collected in two phases to facilitate both exploratory factor analysis (EFA), parallel analysis and the confirmatory factor analysis (CFA). Furthermore, the reliability analysis of the scores and convergent, discriminate, and subgroup validity coefficients were examined. Findings Finding suggested that the inventory measures five constructs, namely, the innate ability, the structure of knowledge, the source of knowledge. The certainty of knowledge, and the speed of knowledge acquisition Novelty - EBIS is a valid and reliable instrument which may serve as useful in guiding future research aiming to understanding students' epistemological beliefs about science. EBIS is the first scale in the local level measuring epistemic beliefs about science according to multi-dimensional model. Type of Paper Empirical paper Keywords: Innate ability; Certainty of knowledge; Source of knowledge; Speed of knowledge acquisition; Structure of knowledge.

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          Most cited references32

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          Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

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            Comparative fit indexes in structural models.

            P. Bentler (1990)
            Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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              Significance tests and goodness of fit in the analysis of covariance structures.

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                GATR Global Journal of Business Social Sciences Review
                Global J. Bus. Soc. Sci. Review
                Global Academy of Training and Research (GATR) Enterprise
                2289-8506
                2180-0421
                2013
                2013
                April 12 2013
                April 13 2013
                : 1
                : 2
                : 47-63
                Affiliations
                [1 ]Faculty of Education, University of Malaya, 50603, Kuala Lumpur, Malaysia
                Article
                10.35609/gjbssr.2013.1.2(6)
                8e97387a-5010-4d71-8bb2-b9e27adacf6b
                © 2013
                History

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