Psychometric Properties of the Faculty Encouragement Scale with First-Year Engineering Undergraduate Students

Autor/inn/en	Hsu, Hsien-Yuan; Li, Yanfen; Acosta, Sandra
Titel	Psychometric Properties of the Faculty Encouragement Scale with First-Year Engineering Undergraduate Students
Quelle	In: Research & Practice in Assessment, 16 (2021) 1, S.63-75 (13 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2161-4210
Schlagwörter	Test Construction; Psychometrics; College Freshmen; College Faculty; Teacher Student Relationship; Verbal Communication; Persuasive Discourse; Correlation; Academic Persistence; Self Efficacy; Measures (Individuals); Engineering Education; Public Colleges; Suburban Schools; Student Attitudes; Massachusetts + Suchen Sie Ihr Suchwort? Testaufbau; Psychometry; Psychometrie; Studienanfänger; Fakultät; Teacher student relationships; Lehrer-Schüler-Beziehung; Persuasion; Persuasive Kommunikation; Korrelation; Self-efficacy; Selbstwirksamkeit; Messdaten; Ingenieurausbildung; Suburban area; Outskirts; Suburb; School; Schools; Vorort; Vorstadt; Schule; Schülerverhalten; Master-Studiengang
Abstract	A Faculty Encouragement Scale (FES) was created to measure students' perception of faculty encouragement (challenge-focused and potential-focused encouragement) in college. This paper reports the psychometric properties of scores from the FES using a sample of 237 first-year engineering undergraduate students in a suburban public university. Analyses were conducted in both confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) frameworks, where CFA constrains all cross-loadings to be zero, but ESEM estimates all cross-loadings. Both CFA and ESEM analyses suggested two-factor models had better goodness-of-fit than one-factor models. However, we discovered a high factor correlation in CFA model that could result from forced-zero cross-loadings. We chose the ESEM model over CFA model because the estimate of factor correlation in CFA model might be inflated. Moreover, we found one item was closely loaded on both encouragement factors. Considering a high communality of this item, we did not suggest a further revision. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01