Rasch Analysis for Psychometric Improvement of Science Attitude Rating Scales

Autor/inn/en	Oon, Pey-Tee; Fan, Xitao
Titel	Rasch Analysis for Psychometric Improvement of Science Attitude Rating Scales
Quelle	In: International Journal of Science Education, 39 (2017) 6, S.683-700 (18 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0950-0693
DOI	10.1080/09500693.2017.1299951
Schlagwörter	Item Response Theory; Psychometrics; Attitude Measures; Rating Scales; Test Items; Item Analysis; Foreign Countries; Elementary Secondary Education; Mathematics Achievement; International Assessment; Achievement Tests; Science Achievement; Mathematics Tests; Science Tests; Student Attitudes; Scientific Attitudes; Middle School Students; Grade 8; Componential Analysis; Statistical Analysis; Science Education; Educational Research; Models; Reliability; Validity; Hong Kong; Singapore; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Psychometry; Psychometrie; Rating-Skala; Test content; Testaufgabe; Itemanalyse; Ausland; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Schülerverhalten; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; School year 08; 8. Schuljahr; Schuljahr 08; Statistische Analyse; Naturwissenschaftliche Bildung; Bildungsforschung; Pädagogische Forschung; Analogiemodell; Reliabilität; Gültigkeit; Hongkong; Singapur
Abstract	Students' attitude towards science (SAS) is often a subject of investigation in science education research. Survey of rating scale is commonly used in the study of SAS. The present study illustrates how Rasch analysis can be used to provide psychometric information of SAS rating scales. The analyses were conducted on a 20-item SAS scale used in an existing dataset of "The Trends in International Mathematics and Science Study" (TIMSS) (2011). Data of all the eight-grade participants from Hong Kong and Singapore (N = 9942) were retrieved for analyses. Additional insights from Rasch analysis that are not commonly available from conventional test and item analyses were discussed, such as invariance measurement of SAS, unidimensionality of SAS construct, optimum utilization of SAS rating categories, and item difficulty hierarchy in the SAS scale. Recommendations on how TIMSS items on the measurement of SAS can be better designed were discussed. The study also highlights the importance of using Rasch estimates for statistical parametric tests (e.g. ANOVA, t-test) that are common in science education research for group comparisons. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01