Journals / Kuram ve Uygulamada Eğitim Bilimleri / 2015 / Cilt: 15 - Sayı: 6

A De Novo Tool to Measure the Preclinical Learning Climate of Medical Faculties in Turkey

Pages
1503–1515
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The analysis of this newly developed Preclinical Learning Climate Scale (PLCS) indicated that its psychometric properties are appropriate and this scale can be employed to evaluate medical education programs.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Although several scales are used to measure general and clinical learning climates, there are no scales that assess the preclinical learning climate.
📊
Key Findings & Data:In this cross-sectional study, data were collected from 3,540 preclinical medical students of six medical faculties in Turkey.
💡
Conclusion & Impact:The analysis of this newly developed Preclinical Learning Climate Scale (PLCS) indicated that its psychometric properties are appropriate and this scale can be employed to evaluate medical education programs.
🔬Design:Lab & Field Experiment
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Although several scales are used to measure general and clinical learning climates, there are no scales that assess the preclinical learning climate. Therefore, the purpose of this study was to develop an effective measurement tool in order to assess the preclinical learning climate. In this cross-sectional study, data were collected from 3,540 preclinical medical students of six medical faculties in Turkey. The methodology included the following activities: generate an item pool, receive expert opinions, perform a pretest to purify the instrument, and conduct factor and reliability analyses. According to the factor analysis, eight factors were determined and their contribution to the variance was 50.39%. In addition, the item factor loadings ranged from .31 to .91, Cronbach's alpha coefficients for the subscales ranged from .72 to .77, and the item-total correlation coefficients for the subscales ranged from .44 to .76. All the items significantly discriminated between the lowand high-performing students (t = 99.57; p = .01). The scale included 52 items with the following subscales: management, teaching, teaching staff, institutional commitment, emotions, inter-student relationships, physical environment, and motivation. The analysis of this newly developed Preclinical Learning Climate Scale (PLCS) indicated that its psychometric properties are appropriate and this scale can be employed to evaluate medical education programs.

🔖

Cite This Article

DEMİREL, N. Y., VELİPASAOGLUB, S., SAHİNC, H., BASUSTAD, B. U., MİDİKE, O., BUDAKOGLUG, I. I., MAMAKLİH, S., TENGİZİ, F. I., DURAKJ, H. I., OZANK, S., COŞKUN, Ö. (2015). A De Novo Tool to Measure the Preclinical Learning Climate of Medical Faculties in Turkey. Kuram ve Uygulamada Eğitim Bilimleri, Cilt: 15 - Sayı: 6, 1503–1515. https://ajindex.com/articles/346958

References (8)

  1. American Educational Research Association, American Psychological Association, and National Council on Measurement in Education. (1999). Standards for educational and psychological testing. Washington, DC: American Educational Research Association. Boor, K., van Der Vleuten, C., Teunissen, P., Scherpbier, A., & Scheele, F. (2011). Development and analysis of D-RECT, an instrument measuring residents' learning climate. Medical Teacher, 33, 820-827.
  2. Cassar, K. (2004). Development of an instrument to measure the surgical operating theatre learning environment as perceived by basic surgical trainees. Medical Teacher, 26, 260-264.
  3. Cate, O. T. (2007). Medical education in the Netherlands. Medical Teacher, 29, 752-757.
  4. Cohen J. (2006). Social, emotional, ethical, and academic education: Creating a climate for learning, participation in democracy, and well-being. Harvard Educational Review, 76(2), 201-237.
  5. Dahlin, M. E., & Runeson, B. (2007). Burnout and psychiatric morbidity among medical students entering clinical training: A three year prospective questionnaire and interview-based study. BMC Medical Education, 7, 6. Delamere, T. A., Wankel, L. M., & Hinch, T. D. (2001). Development of a scale to measure resident attitudes toward the social impacts of community festivals, Part I: Item generatıon and purification of the measure. Event Management, 7, 11-24.
  6. Demiral-Yılmaz, N. (2010). The examination of medicine students' learning climate perceptions regarding the academical self efficacy, attitude towards medicine occupation and academical success (Doctoral dissertations, Ege University, Institute of Social Sciences, Department of Educational Sciences, İzmir, Turkey). Retrieved from https://tez.yok.gov.tr/UlusalTezMerkezi/
  7. Demirören, M., Palaoglu, Ö., Kemahli, S., Özyurda, F., & Ayhan, H. I. (2008). Perceptions of students in different phases of medical education of educational environment: Ankara University Faculty of Medicine. Med Educ Online [serial online], 13, 8. DeVellis, F. R. (2003). Scale development theory and applications (2nd ed.). California, CA: Sage. Dornan, T., Mann, K., Scherpbier, A., Spencer, J., & Norman, G. (2011). Medical education theory and practice. Edinburgh, UK: Churchill Livingstone. Genn, J. M. (2001). AMEE Medical Education Guide No. 23 (Part 1): Curriculum, environment, climate, quality and change in medical education a unifying perspective. Med Teacher, 23(5), 445-454.
  8. Hair, J. F., Tatham, R. L., Anderson, R. E., & Black, W. (1998).