Attitudes Toward Women in Health Care Organizations: A Turkish Case Study


Toygar S. A., Kara D., Kırlıoğlu M.

Journal of Social Service Research, cilt.46, sa.2, ss.264-272, 2020 (SSCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 46 Sayı: 2
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1080/01488376.2018.1555109
  • Dergi Adı: Journal of Social Service Research
  • Derginin Tarandığı İndeksler: Social Sciences Citation Index (SSCI), Scopus, Academic Search Premier, ASSIA, IBZ Online, Abstracts in Social Gerontology, Psycinfo, Public Affairs Index, Social services abstracts, Sociological abstracts
  • Sayfa Sayıları: ss.264-272
  • Anahtar Kelimeler: Attitudes toward women, health care organizations, health care employees, Turkey, GENDER-DIFFERENCES, SCALE, REPLICATION, PREDICTORS, MANAGEMENT, QUALITY, ROLES, WORK, LIFE
  • Ankara Hacı Bayram Veli Üniversitesi Adresli: Hayır

Özet

© 2019, © 2019 Taylor & Francis Group, LLC.The aim of this article is to examine the health care employees’ attitudes toward women in health care organizations in Turkey. It was measured using a 25-item scale by Spence, Helmreich, and Stapp (1973). The study was conducted on 541 employees: 279 males and 262 females. Structural equation model (SEM) was applied to analyze the relationship between gender, marital status, and income and attitudes toward woman. The result of this analysis showed that the relations between gender, marital status, and income and attitudes toward woman were statistically significant. All three hypotheses were statistically supported. This result indicated that employees’ marital status and (monthly) income significantly predicted their scores of attitudes toward woman in a positive direction. Besides, employees’ gender significantly predicted their scores of attitudes toward woman in an inverse direction. Future research can focus on investigating the effects of the attitudes toward women on other elements (e.g., performance, motivation, job satisfaction) or a wider sample to reach more generalized results.