Peer reviewed
Download full textERIC Number: ED619760
Record Type: Non-Journal
Publication Date: 2019
Pages: 7
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-
EISSN: N/A
Examining the Psychometric Properties of a Malaysian Relevance of Science Education (MROSE) Questionnaire Using Partial Least Squares Structural Equation Modeling (PLS-SEM)
Fah, Lay Yoon; Thoe, Ng Khar; Hoon, Khoo Chwee; Hwui, Chan Sane
International Baltic Symposium on Science and Technology Education, Paper presented at the International Baltic Symposium on Science and Technology Education (BalticSTE2019) (3rd, Šiauliai, Lithuania, Jun 17-20, 2019)
This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students' interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach's Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed. [For the full proceedings, see ED619611.]
Descriptors: Psychometrics, Foreign Countries, Relevance (Education), Science Education, Questionnaires, Structural Equation Models, Secondary School Students
Scientia Socialis Ltd. 29 K. Donelaicio Street, LT-78115 Siauliai, Republic of Lithuania. e-mail: scientia@scientiasocialis.lt; Web site: https://www.scientiasocialis.lt/
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: Secondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Malaysia
Grant or Contract Numbers: N/A
