Fuzzy Delphi Method for Content Validation of Integrated Science Process Skills Instrument

Ellyza Karim, Jamil Ahmad and Kamisah Osman

International Journal of Academic Research in Business and Social Sciences, 2017, vol. 7, issue 6, 773-785

Abstract: The purpose of this paper is to obtain expert consensus on the writing of relevant items which allied their competency indicators of integrated science process skills. There are five constructs of integrated science process skills, namely formulating hypotheses, defining operationally, identifying and controlling variables, interpreting data, and experimenting. Verification is done by 13 experts in the field of science education using structured questionnaire aiming to validate the items-indicators to gain response about form one student’s ability on integrated science process skills. Questionnaire containing 26 items of 5-point Likert scale was given to experts. Consensus from the experts was further analysed using Fuzzy Delphi method. The study found that expert consensus on the items-indicators of integrated science process skills were more than 75% with the threshold value (d) ? 0.2 and ?-cut value ? 0.5.

Keywords: Fuzzy Delphi Method; Integrated Science Process Skills; Science Process Skills; Content Validation; expert Consensus (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hrmars.com/hrmars_papers/Fuzzy_Delphi_Metho ... kills_Instrument.pdf (application/pdf)
http://hrmars.com/hrmars_papers/Fuzzy_Delphi_Metho ... kills_Instrument.pdf (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hur:ijarbs:v:7:y:2017:i:6:p:773-785

Access Statistics for this article

More articles in International Journal of Academic Research in Business and Social Sciences from Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences
Bibliographic data for series maintained by Hassan Danial Aslam ().