To Stay or Not to Stay: Retention of Asian International Faculty in STEM Fields

Autor/inn/en	Lawrence, Janet H.; Celis, Sergio; Kim, Hee Sun; Lipson, Sarah Ketchen; Tong, Ximeng
Titel	To Stay or Not to Stay: Retention of Asian International Faculty in STEM Fields
Quelle	In: Higher Education: The International Journal of Higher Education and Educational Planning, 67 (2014) 5, S.511-531 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0018-1560
DOI	10.1007/s10734-013-9658-0
Schlagwörter	STEM Education; Research Universities; Persistence; College Faculty; Asians; Foreign Nationals; Foreign Workers; Science Teachers; Individual Characteristics; Work Environment; Tenure; Faculty Mobility; Regression (Statistics); Predictor Variables; Research Opportunities; Organizational Development; Teacher Evaluation; Merit Rating; Social Justice; Job Satisfaction; Work Attitudes + Suchen Sie Ihr Suchwort? STEM; Forschungseinrichtung; Ausdauer; Fakultät; Asian; Asiat; Asiatin; Asiaten; Asiate; Ausländer; Ausländerin; Science; Teacher; Teachers; Science teacher; Wissenschaft; Lehrer; Lehrerin; Lehrende; Personality characteristic; Personality traits; Persönlichkeitsmerkmal; Arbeitsmilieu; Amtszeit; Beschäftigungsdauer; Regression; Regressionsanalyse; Prädiktor; Forschungshaushalt; Organisationsentwicklung; Teacher appraisal; Lehrerbeurteilung; Analytische Arbeitsbewertung; Soziale Gerechtigkeit; Labor; Labour; Satisfaction; Arbeit; Zufriedenheit; Work attitude; Arbeitshaltung
Abstract	The present study identifies characteristics of individuals and work settings that influence Asian international faculty members' intentions to continue their employment in US research universities. Given the demand for researchers in science, technology, engineering and mathematics fields (STEM), the higher rate of turnover among untenured faculty, and the replacement costs associated with turnover in STEM, the sample is limited to assistant professors employed in these areas. Multinomial regression analyses are conducted to identify variables that "pull" and "push" uncertain faculty toward intentions stay and leave their current institutions. The results suggest that faculty who are more satisfied with time available for research and those who express stronger organizational commitment are more likely to say they will stay. Those dissatisfied with the fairness of work evaluations and believe tenure decisions are not merit-based, are more likely to say they will leave. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10