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Constructs evaluation of student attitudes toward science-a rasch analysis
Fan Huang; Liu Huang; Pey-Tee Oon
2020-01-02
Source PublicationRasch Measurement: Applications in Quantitative Educational Research
PublisherSpringer Singapore
Pages139-157
Abstract

The research on students’ attitudes toward science (SAS) is well-documented in the science education literature. Many studies examine SAS through the use of survey rating scales. The incorporation of SAS constructs; however, is affected by the subjective judgments of the researchers. We report here the examination of the three constructs in the measure of SAS based on the Asian student attitudes toward science (ASATSC) instrument. A total of 1,133 7th to 11th graders from China completed the ASATSC survey instrument. The Rasch measurement model was used to analyze the resulting student data. The findings indicated that psychometric properties of data collected from ASATSC were sufficient in the measure of SAS. The present study found that though Chinese students generally held positive attitudes toward physics and biology, they enjoyed studying physics more than biology and expressed higher confidence with biology.

KeywordChinese Students Differential Item Functioning Model Fit · Pisa Rasch Measurement Science Attitudes
DOI10.1007/978-981-15-1800-3_8
URLView the original
Language英語English
ISBN9789811518003;9789811517990;
Scopus ID2-s2.0-85085459972
Fulltext Access
Citation statistics
Document TypeBook chapter
CollectionFaculty of Education
Corresponding AuthorPey-Tee Oon
AffiliationUniversity of Macau,Macau,China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Fan Huang,Liu Huang,Pey-Tee Oon. Constructs evaluation of student attitudes toward science-a rasch analysis[M]. Rasch Measurement: Applications in Quantitative Educational Research:Springer Singapore, 2020, 139-157.
APA Fan Huang., Liu Huang., & Pey-Tee Oon (2020). Constructs evaluation of student attitudes toward science-a rasch analysis. Rasch Measurement: Applications in Quantitative Educational Research, 139-157.
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