Which of the four models? Examining the measurement properties of the Interdisciplinary Education Perception Scale (IEPS) in healthcare and socialcare prelicensure curriculum in Hong Kong

References

• Appleby, M. (2015). What are the benefits of interdisciplinary study? Retrieved from http://www.open.edu/openlearn/education/what-are-the-benefits-interdisciplinary-study
   Google Scholar
• Baker, C., Pulling, C., McGraw, R., Dagnone, J., Hopkins-Rosseel, D., & Medves, J. (2008). Simulation in interprofessional education for patient-centred collaborative care. Journal of Advanced Nursing, 64(4), 372–379. doi:10.1111/jan.2008.64.issue-4
   PubMed Web of Science ®Google Scholar
• Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.
   PubMed Web of Science ®Google Scholar
• Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SIMPLIS: Basic concepts, applications, and programming. Mahwah, NJ: Lawrence Erlbaum.
   Google Scholar
• Chan, L. K., & Ganotice, F. A. (2015a, November 27–28) The time for Interprofessional Team-based Learning (IPTBL) in Hong Kong: A baseline study. Abstract presented in the Frontiers in Medical and Health Sciences Education, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, Hong Kong.
   Google Scholar
• Chan, L. K., & Ganotice, F. A. (2015b, November 27–28). Interprofessional team-based learning checklist: Development and psychometric testing. Abstract presented in the 2015 Frontiers in Medical and Health Sciences Education Conference, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong.
   Google Scholar
• Chan, L. K., Ganotice, F. A., Wong, F. K. Y., Lau, C. S., Bridges, S., Chan C., Chan, N. K., ....., Yum, T. P. (2017). An Interprofessional Team-Based Learning Programme involving seven undergraduate health and social care programmes from two universities: Development, implementation, and evaluation. BMC Medical Education, 17(1), 221. doi:10.1186/s12909-017-1046-5.
   Google Scholar
• Cheung, G. W., & Rensvold, R. B. (2002). Evaluating goodness-of-fit indexes for testing measurement invariance. Structural Equation Modeling, 9(2), 233–255. doi:10.1207/S15328007SEM0902_5
   Web of Science ®Google Scholar
• Cronbach, L. J., & Meehl, P. E. (1955). Construct validity in psychological tests. Psychological Bulletin, 52(4), 281–302. doi:10.1037/h0040957
   PubMed Web of Science ®Google Scholar
• Currey, J., Oldland, E., Considine, J., Glanville, D., & Story, I. (2015). Evaluation of postgraduate critical care nursing students’ attitudes to, and engagement with, Team-Based Learning: A descriptive study. Intensive and Critical Care Nursing, 31(1), 19–28. doi:10.1016/j.iccn.2014.09.003
   PubMed Web of Science ®Google Scholar
• Finney, S. J., & DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 269–314). Greenwich, CT: Information Age Publishing.
   Google Scholar
• Goelen, G., de Clercq, G., Huyghens, L., & Kerckhofs, E. (2006). Measuring the effect of interprofessional problem-based learning on the attitudes of undergraduate health care students. Medical Education, 40(6), 555–561. doi:10.1111/j.1365-2929.2006.02511.x
   PubMed Web of Science ®Google Scholar
• Goldman, J., Zwarenstein, M., Bhattacharyya, O., & Reeves, S. (2009). Improving the clarity of the interprofessional field: Implications for research and continuing interprofessional education. Journal of Continuing Education in the Health Professions, 29, 151–156. doi:10.1002/chp.20028
   PubMed Web of Science ®Google Scholar
• Hambleton, R. K. (2001). The next generation of the ITC test translation and adaptation guidelines. European Journal of Psychological Assessment, 17, 164–172. doi:10.1027//1015-5759.17.3.164
   Web of Science ®Google Scholar
• Hansson, A., Foldevi, M., & Mattsson, B. (2010). Medical students’ attitudes toward collaboration between doctors and nurses - a comparison between two Swedish universities. Journal of Interprofessional Care, 24((3):), 242–250. doi:10.3109/13561820903163439
   PubMed Web of Science ®Google Scholar
• Hawk, C., Buckwalter, K., Byrd, L., Cigelman, S., Dorfman, L., & Ferguson, K. (2002). Health professions students’ perceptions of interprofessional relationships. Academic Medicine, 77(4), 354–357. doi:10.1097/00001888-200204000-00020
   PubMed Web of Science ®Google Scholar
• Hogan, M. (2017). Interdisciplinary education and the student voice: Understanding the qualities of the interdisciplinary practitioner. Retrieved from https://www.psychologytoday.com/blog/in-one-lifespan/201704/interdisciplinary-education-and-the-student-voice
   Google Scholar
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. doi:10.1080/10705519909540118
   Web of Science ®Google Scholar
• Jones, C. (2009). Interdisciplinary approach: Advantages, disadvantages, and the future benefits of interdisciplinary studies. ESSAI, 7(26), 1–81.
   Google Scholar
• Leitch, J. (2014). Exploring psychometric properties of the interdisciplinary education perception scale in health graduate students. Journal of Interprofessional Care, 28(1), 52–57. doi:10.3109/13561820.2013.820691
   PubMed Web of Science ®Google Scholar
• Little, T. D. (1997). Mean and covariance structures (MACS) analyses of cross-cultural data: Practical and theoretical issues. Multivariate Behavioral Research, 32, 53–76. doi:10.1207/s15327906mbr3201_3
   PubMed Web of Science ®Google Scholar
• Luecht, R. M., Madsen, M. K., Taugher, M. P., & Petterson, B. J. (1990). Assessing professional perceptions: Design and validation of an interdisciplinary education perception scale. Journal of Allied Health, 19, 181–191.
   PubMedGoogle Scholar
• MacCallum, R. C. (1995). Model specification: Procedures, strategies, and related issues. In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues, and applications (pp. 16–36). Thousand Oaks, CA: Sage.
   Google Scholar
• Maneesriwongul, W., & Dixon, J. K. (2004). Instrument translation process: A methods review. Journal of Advanced Nursing, 48, 175–186. doi:10.1111/jan.2004.48.issue-2
   PubMed Web of Science ®Google Scholar
• Martin, A. J. (2007). Examining a multidimensional model of student motivation and engagement using a construct validation approach. British Journal of Educational Psychology, 77, 413–440. doi:10.1348/000709906X118036
   PubMed Web of Science ®Google Scholar
• McFadyen, A. K., Maclaren, W. M., & Webster, V. S. (2007). The Interdisciplinary Educationan Perception Scale (IEPS): An alternative remodelled sub-scale structure and its reliability. Journal of Interprofessional Care, 21(4), 433–443. doi:10.1080/13561820701352531
   PubMedGoogle Scholar
• Michaelsen, L. K., Knight, A. B., & Fink, L. D. (2002). Team-based learning: A transformative use of small groups. Westport, CT: Praeger.
   Google Scholar
• Milfont, T. L., & Fisher, R. (2010). Testing measurement invariance across groups: Applications in cross-cultural research. International Journal of Psychological Research, 3(1), 111–121. doi:10.21500/20112084.857
   Google Scholar
• Nunnally, J. C. (1978). Introduction to psychological measurement. New York, NY: McGraw-Hill.
   Google Scholar
• Parmelee, D. X., DeStephen, D., & Borges, N. (2009). Medical students’ attitudes about team-based learning in a pre-clinical curriculum. Medical Education Online, 14(1), 1–7. doi:10.3402/meo.v14i.4503
   PubMedGoogle Scholar
• Van de Vijver, F. J. R., & Tanzer, N. K. (2004). Bias and equivalence in cross-cultural assessment: An overview. Review of Applied Psychology, 54, 119–135. doi:10.1016/j.erap.2003.12.004
   Google Scholar
• Vandenberg, R. J., & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3, 4–70. doi:10.1177/109442810031002
   Web of Science ®Google Scholar
• Vaughan, B., Macfarlane, C., Dentry, T., & Mendoza, G. (2014). The Interdisciplinary Education Perception Scale (IEPS): Which factor structure? Education in Medical Journal, 6(3), e67–e71. doi:10.5959/eimj.v6i3.259
   Google Scholar
• Wilhelmsson, M., Ponzer, S., Dahlgren, L., Timpka, T., & Faresjö, T. (2011). Are female students in general and nursing students more ready for teamwork and interprofessional collaboration in healthcare?. BMC Medical Education, 11(1), 1–15.
   PubMed Web of Science ®Google Scholar
• Williams, B., & Webb, V. (2013). Examining the measurement properties of the Interdisciplinary Education Perception Scale (IEPS) in paramedic education. Nurse Education Today, 33, 981–985. doi:10.1016/j.nedt.2012.10.015
   PubMed Web of Science ®Google Scholar
• World Health Organization, Department of Human Resources for Health. (2010). Framework for action on interprofessional education and collaborative practice. Geneva: WHO. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4710547/
   Google Scholar