An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)

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internalnotes Afthanorhan, W.M.A.B.W. (2013) ‘A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis’, International Journal Engineering and Science Innovative Technologies (IJESIT), Vol. 2, No. 5, p.8. Afthanorhan, W.M.A.B.W., Ahmad, S. and Mamat, I. (2014) ‘Pooled confirmatory factor analysis (PCFA) using structural equation modeling on volunteerism program: a step by step approach’, International Journal of Asian Social Science, Vol. 4, No. 5, pp.642–653. Ailawadi, K.L., Pauwels, K. and Steenkamp, J.B.E. (2008) ‘Private-label use and store loyalty’, Journal of Marketing, Vol. 72, No. 6, pp.19–30. Assael, H. (1987) Consumer Behavior and Marketing Action, 4th ed., Kent Publishing Co., Boston, MA. Awang, Z. (2014) A Handbook on SEM, MPWS Publisher. Baumgartner, H. and Homburg, C. (1996) ‘Applications of structural equation modeling in marketing and consumer research: a review’, International Journal of Research in Marketing, Vol. 13, No. 2, pp.139–161. Becker, G. (1964) Human Capital, National Bureau of Economics Research, New York. Beckert, T.E. (2007) ‘Cognitive autonomy and self-evaluation in adolescence: a conceptual investigation and instrument development’, North American Journal of Psychology, Vol. 9, No. 3, p.579. Bentler, P.M. and Kano, Y. (1990) ‘On the equivalence of factors and components’, Multivariate Behavioral Research, Vol. 25, No. 1, pp.67–74. Bookman, M.Z. and Bookman, K.R. (2007) Medical Tourism in Developing Countries, Palgrave Macmillan, New York. Bryman, A. (2004) Triangulation and Measurement, Department of Social Sciences, Loughborough University, Leicestershire [online] http://www.referenceworld.com/sage/ socialscience/triangulation.pdf (accessed 17 June 2011). Byrne, B.M. (2013) Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Routledge. Campbell, C.L. and Demi, A.S. (2000) ‘Adult children of fathers missing in action (MIA): an examination of emotional distress, grief, and family hardiness’, Family Relations, Vol. 49, No. 3, pp.267–276. Carr, D. (2005) ‘The psychological consequences of midlife men’s social comparisons with their young adult sons’, Journal of Marriage and Family, Vol. 67, No. 1, pp.240–250. Churchill Jr., G.A. and Surprenant, C. (1982) ‘An investigation into the determinants of customer satisfaction’, Journal of Marketing Research, pp.491–504. Clark, A.E., Frijters, P. and Shields, M.A. (2008) ‘Relative income, happiness, and utility: an explanation for the Easterlin paradox and other puzzles’, Journal of Economic Literature, pp.95–144. Corbin, J.M. and Strauss, A. (1990) ‘Grounded theory research: procedures, canons, and evaluative criteria’, Qualitative Sociology, Vol. 13, No. 1, pp.3–21. Creswell, J.W. (1998) Qualitative Inquiry and Research Design: Choosing Among Five Designs. Creswell, J.W. (2005) Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 2nd ed., Pearson Education, Upper Saddle River, NJ. Day, G.S. (1969) ‘A two dimensional concept of brand loyalty’, Journal of Advertising, Vol. 9, No. 3, pp.29–35. Fader, P.S. and Schmittlein, D.C. (1993) ‘Excess behavioral loyalty for high-share brands: deviations from the Dirichlet model for repeat purchasing’, Journal of Marketing Research, pp.478–493. Gibson-Davis, C.M., Edin, K. and McLanahan, S. (2005) ‘High hopes but even higher expectations: the retreat from marriage among low-income couples’, Journal of Marriage and Family, Vol. 67, No. 5, pp.1301–1312. Glaser, B. and Strauss, A. (1967) The Discovery of Grounded Theory, Weidenfeld and Nicholson, London. Greenstein, T.N. (2006) Methods of Family Research, 2nd ed., Sage, Thousand Oaks, CA. Hair, J.F. (2010) Multivariate Data Analysis. Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011) ‘PLS-SEM: indeed a silver bullet’, Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp.139–152. Hair, J.F., Wolfinbarger, M.F., Ortinau, D.J. and Bush, R.P. (2008) Essentials of Marketing Research, McGraw-Hill/Higher Education. Hayes, A.F. and Krippendorff, K. (2007) ‘Answering the call for a standard reliability measure for coding data’, Communication Methods and Measures, Vol. 1, No. 1, pp.77–89. Huang, M. and Yu, S. (1999) ‘Are consumers inherently or situationally brand loyal? A set intercorrelation account for conscious brand loyalty and non conscious inertia’, Psychology & Marketing, Vol. 16, No. 6, pp.523–544. Ivankova, N.V., Creswell, J.W. and Stick, S.L. (2006) ‘Using mixed-methods sequential explanatory design: from theory to practice’, Field Methods, Vol. 18, No. 1, pp.3–20. Jacoby, J. and Chestnut, W. (1978) Brand Loyalty Measurement and Management, J. Wiley & Sons, New York, NY. Jöreskog, K.G. (1967) ‘A general approach to confirmatory maximum likelihood factor analysis’, ETS Research Bulletin Series, Vol. 2, pp.183–202. Jöreskog, K.G. (1973) ‘Analysis of covariance structures’, Multivariate Analysis, Vol. 3, pp.263–285. Knodel, J. and Saengtienchai, C. (2005) ‘Older-aged parents: the final safety net for adult sons and daughters with AIDS in Thailand’, Journal of Family Issues, Vol. 26, No. 5, pp.665–698. Leenheer, J., Van Heerde, H.J., Bijmolt, T.H. and Smidts, A. (2007) ‘Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members’, International Journal of Research in Marketing, Vol. 24, No. 1, pp.31–47. Liang, C.J., Wang, W.H. and Dawes Farquhar, J. (2009) ‘The influence of customer perceptions on financial performance in financial services’, International Journal of Bank Marketing, Vol. 27, No. 2, pp.129–149. Lingard, L., Albert, M. and Levinson, W. (2008) ‘Grounded theory, mixed methods, and action research’, Bmj, p.337. Long, J. (1983) Confirmatory Factor Analysis: A Preface to LISREL. MacCallum, R.C. and Austin, J.T. (2000) ‘Applications of structural equation modeling in psychological research’, Annual Review of Psychology, Vol. 51, No. 1, pp.201–226. MacCallum, R.C., Widaman, K.F., Zhang, S. and Hong, S. (1999) ‘Sample size in factor analysis’, Psychological Methods, Vol. 4, No. 1, p.84. Mahony, D.F., Madrigal, R. and Howard, D. (2000) ‘Using the psychological commitment to team (PCT) scale to segment sport consumers based on loyalty’, Sport Marketing Quarterly, Vol. 9, No. 1, pp.15–25. Marshall, T. and Solomon, P. (2004) ‘Provider contact with families of adults with severe mental illness: taking a closer look’, Family Process, Vol. 43, No. 2, pp.209–216. Nunnally, J. (1978) Psychometric Methods. Nunnally, J.C. and Bernstein, I.H. (1994) ‘The assessment of reliability’, Psychometric Theory, Vol. 3, pp.248–292. Pocock, N.S. and Phua, K.H. (2011) ‘Medical tourism and policy implications for health systems: a conceptual framework from a comparative study of Thailand, Singapore and Malaysia’, Global Health, Vol. 7, No. 1, p.12. Ringle, C.M., Sarstedt, M., Schlittgen, R. and Taylor, C.R. (2013) ‘PLS path modeling and evolutionary segmentation’, Journal of Business Research, Vol. 66, No. 9, pp.1318–1324. Schultz, T.W. (1961) ‘Investment in human capital’, The American Economic Review, pp.1–17. Sekaran, U. and Bougie, R. (2010) Research Methods for Business: A Skill Building Approach, Wiley. Solomon, M.R. (1996) Consumer Behavior: Buying, Having and Being, Prentice-Hall, Mexico. Strazdins, L. and Broom, D.H. (2004) ‘Acts of love (and work): gender imbalance in emotional work and women’s psychological distress’, Journal of Family Issues, Vol. 25, No. 3, pp.356–378. Tashakkori, A. and Teddlie, C. (Eds.) (2003) Handbook of Mixed Methods in Social and Behavioral Research, Sage, Thousand Oaks, CA. Velicer, W.F. and Fava, J.L. (1998) ‘Affects of variable and subject sampling on factor pattern recovery’, Psychological Methods, Vol. 3, No. 2, p.231. Weaver, T.E., Maislin, G., Dinges, D.F., Younger, J., Cantor, C., McCloskey, S. and Pack, A.I. (2003) ‘Self-efficacy in sleep apnea: instrument development and patient perceptions of obstructive sleep apnea risk, treatment benefit, and volition to use continuous positive airway pressure’, Sleep-New York Then Westchester, Vol. 26, No. 6, pp.727–734. Williams, L.J., Edwards, J.R. and Vandenberg, R.J. (2003) ‘Recent advances in causal modeling methods for organizational and management research’, Journal of Management, Vol. 29, No. 6, pp.903–936.
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spelling 12785 https://intelek.unisza.edu.my/intelek/pages/view.php?ref=12785 https://intelek.unisza.edu.my/intelek/pages/search.php?search=!collection407072 Restricted Document Article Journal image/jpeg inches 96 96 norman 1407 737 34 34 2016-06-07 11:11:58 1407x737 7092-01-FH02-FEMS-16-05944.jpg UniSZA Private Access An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article) International Journal of Tourism Policy Medical tourism has become one of the most important sectors generating foreign exchange for Malaysia. The government has intensified its effort to promote the country as a popular destination among foreign travellers seeking medical care outside their country. Thus, rigorous research is expected in this particular field. In line with that, this study intends to validate the measurement model for medical tourism research. The mixed method study begins with qualitative approach and ends-up with the quantitative analysis. The medical tourism constructs involved are human capital, physical infrastructure, and patient satisfaction. In the qualitative phase, personal and focus group interviews were conducted to generate items for the respective constructs. The confirmatory factor analysis (CFA) has validated the measurement model of human capital, physical infrastructure, and patient satisfaction for unidimensionality, validity and reliability. Therefore, these measurement models can be assessed for the future research improvements. 6 1 Inderscience Publishers Inderscience Publishers 29-45 Afthanorhan, W.M.A.B.W. (2013) ‘A comparison of partial least square structural equation modeling (PLS-SEM) and covariance based structural equation modeling (CB-SEM) for confirmatory factor analysis’, International Journal Engineering and Science Innovative Technologies (IJESIT), Vol. 2, No. 5, p.8. Afthanorhan, W.M.A.B.W., Ahmad, S. and Mamat, I. (2014) ‘Pooled confirmatory factor analysis (PCFA) using structural equation modeling on volunteerism program: a step by step approach’, International Journal of Asian Social Science, Vol. 4, No. 5, pp.642–653. Ailawadi, K.L., Pauwels, K. and Steenkamp, J.B.E. (2008) ‘Private-label use and store loyalty’, Journal of Marketing, Vol. 72, No. 6, pp.19–30. Assael, H. (1987) Consumer Behavior and Marketing Action, 4th ed., Kent Publishing Co., Boston, MA. Awang, Z. (2014) A Handbook on SEM, MPWS Publisher. Baumgartner, H. and Homburg, C. (1996) ‘Applications of structural equation modeling in marketing and consumer research: a review’, International Journal of Research in Marketing, Vol. 13, No. 2, pp.139–161. Becker, G. (1964) Human Capital, National Bureau of Economics Research, New York. Beckert, T.E. (2007) ‘Cognitive autonomy and self-evaluation in adolescence: a conceptual investigation and instrument development’, North American Journal of Psychology, Vol. 9, No. 3, p.579. Bentler, P.M. and Kano, Y. (1990) ‘On the equivalence of factors and components’, Multivariate Behavioral Research, Vol. 25, No. 1, pp.67–74. Bookman, M.Z. and Bookman, K.R. (2007) Medical Tourism in Developing Countries, Palgrave Macmillan, New York. Bryman, A. (2004) Triangulation and Measurement, Department of Social Sciences, Loughborough University, Leicestershire [online] http://www.referenceworld.com/sage/ socialscience/triangulation.pdf (accessed 17 June 2011). Byrne, B.M. (2013) Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Routledge. Campbell, C.L. and Demi, A.S. (2000) ‘Adult children of fathers missing in action (MIA): an examination of emotional distress, grief, and family hardiness’, Family Relations, Vol. 49, No. 3, pp.267–276. Carr, D. (2005) ‘The psychological consequences of midlife men’s social comparisons with their young adult sons’, Journal of Marriage and Family, Vol. 67, No. 1, pp.240–250. Churchill Jr., G.A. and Surprenant, C. (1982) ‘An investigation into the determinants of customer satisfaction’, Journal of Marketing Research, pp.491–504. Clark, A.E., Frijters, P. and Shields, M.A. (2008) ‘Relative income, happiness, and utility: an explanation for the Easterlin paradox and other puzzles’, Journal of Economic Literature, pp.95–144. Corbin, J.M. and Strauss, A. (1990) ‘Grounded theory research: procedures, canons, and evaluative criteria’, Qualitative Sociology, Vol. 13, No. 1, pp.3–21. Creswell, J.W. (1998) Qualitative Inquiry and Research Design: Choosing Among Five Designs. Creswell, J.W. (2005) Educational Research: Planning, Conducting, and Evaluating Quantitative and Qualitative Research, 2nd ed., Pearson Education, Upper Saddle River, NJ. Day, G.S. (1969) ‘A two dimensional concept of brand loyalty’, Journal of Advertising, Vol. 9, No. 3, pp.29–35. Fader, P.S. and Schmittlein, D.C. (1993) ‘Excess behavioral loyalty for high-share brands: deviations from the Dirichlet model for repeat purchasing’, Journal of Marketing Research, pp.478–493. Gibson-Davis, C.M., Edin, K. and McLanahan, S. (2005) ‘High hopes but even higher expectations: the retreat from marriage among low-income couples’, Journal of Marriage and Family, Vol. 67, No. 5, pp.1301–1312. Glaser, B. and Strauss, A. (1967) The Discovery of Grounded Theory, Weidenfeld and Nicholson, London. Greenstein, T.N. (2006) Methods of Family Research, 2nd ed., Sage, Thousand Oaks, CA. Hair, J.F. (2010) Multivariate Data Analysis. Hair, J.F., Ringle, C.M. and Sarstedt, M. (2011) ‘PLS-SEM: indeed a silver bullet’, Journal of Marketing Theory and Practice, Vol. 19, No. 2, pp.139–152. Hair, J.F., Wolfinbarger, M.F., Ortinau, D.J. and Bush, R.P. (2008) Essentials of Marketing Research, McGraw-Hill/Higher Education. Hayes, A.F. and Krippendorff, K. (2007) ‘Answering the call for a standard reliability measure for coding data’, Communication Methods and Measures, Vol. 1, No. 1, pp.77–89. Huang, M. and Yu, S. (1999) ‘Are consumers inherently or situationally brand loyal? A set intercorrelation account for conscious brand loyalty and non conscious inertia’, Psychology & Marketing, Vol. 16, No. 6, pp.523–544. Ivankova, N.V., Creswell, J.W. and Stick, S.L. (2006) ‘Using mixed-methods sequential explanatory design: from theory to practice’, Field Methods, Vol. 18, No. 1, pp.3–20. Jacoby, J. and Chestnut, W. (1978) Brand Loyalty Measurement and Management, J. Wiley & Sons, New York, NY. Jöreskog, K.G. (1967) ‘A general approach to confirmatory maximum likelihood factor analysis’, ETS Research Bulletin Series, Vol. 2, pp.183–202. Jöreskog, K.G. (1973) ‘Analysis of covariance structures’, Multivariate Analysis, Vol. 3, pp.263–285. Knodel, J. and Saengtienchai, C. (2005) ‘Older-aged parents: the final safety net for adult sons and daughters with AIDS in Thailand’, Journal of Family Issues, Vol. 26, No. 5, pp.665–698. Leenheer, J., Van Heerde, H.J., Bijmolt, T.H. and Smidts, A. (2007) ‘Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members’, International Journal of Research in Marketing, Vol. 24, No. 1, pp.31–47. Liang, C.J., Wang, W.H. and Dawes Farquhar, J. (2009) ‘The influence of customer perceptions on financial performance in financial services’, International Journal of Bank Marketing, Vol. 27, No. 2, pp.129–149. Lingard, L., Albert, M. and Levinson, W. (2008) ‘Grounded theory, mixed methods, and action research’, Bmj, p.337. Long, J. (1983) Confirmatory Factor Analysis: A Preface to LISREL. MacCallum, R.C. and Austin, J.T. (2000) ‘Applications of structural equation modeling in psychological research’, Annual Review of Psychology, Vol. 51, No. 1, pp.201–226. MacCallum, R.C., Widaman, K.F., Zhang, S. and Hong, S. (1999) ‘Sample size in factor analysis’, Psychological Methods, Vol. 4, No. 1, p.84. Mahony, D.F., Madrigal, R. and Howard, D. (2000) ‘Using the psychological commitment to team (PCT) scale to segment sport consumers based on loyalty’, Sport Marketing Quarterly, Vol. 9, No. 1, pp.15–25. Marshall, T. and Solomon, P. (2004) ‘Provider contact with families of adults with severe mental illness: taking a closer look’, Family Process, Vol. 43, No. 2, pp.209–216. Nunnally, J. (1978) Psychometric Methods. Nunnally, J.C. and Bernstein, I.H. (1994) ‘The assessment of reliability’, Psychometric Theory, Vol. 3, pp.248–292. Pocock, N.S. and Phua, K.H. (2011) ‘Medical tourism and policy implications for health systems: a conceptual framework from a comparative study of Thailand, Singapore and Malaysia’, Global Health, Vol. 7, No. 1, p.12. Ringle, C.M., Sarstedt, M., Schlittgen, R. and Taylor, C.R. (2013) ‘PLS path modeling and evolutionary segmentation’, Journal of Business Research, Vol. 66, No. 9, pp.1318–1324. Schultz, T.W. (1961) ‘Investment in human capital’, The American Economic Review, pp.1–17. Sekaran, U. and Bougie, R. (2010) Research Methods for Business: A Skill Building Approach, Wiley. Solomon, M.R. (1996) Consumer Behavior: Buying, Having and Being, Prentice-Hall, Mexico. Strazdins, L. and Broom, D.H. (2004) ‘Acts of love (and work): gender imbalance in emotional work and women’s psychological distress’, Journal of Family Issues, Vol. 25, No. 3, pp.356–378. Tashakkori, A. and Teddlie, C. (Eds.) (2003) Handbook of Mixed Methods in Social and Behavioral Research, Sage, Thousand Oaks, CA. Velicer, W.F. and Fava, J.L. (1998) ‘Affects of variable and subject sampling on factor pattern recovery’, Psychological Methods, Vol. 3, No. 2, p.231. Weaver, T.E., Maislin, G., Dinges, D.F., Younger, J., Cantor, C., McCloskey, S. and Pack, A.I. (2003) ‘Self-efficacy in sleep apnea: instrument development and patient perceptions of obstructive sleep apnea risk, treatment benefit, and volition to use continuous positive airway pressure’, Sleep-New York Then Westchester, Vol. 26, No. 6, pp.727–734. Williams, L.J., Edwards, J.R. and Vandenberg, R.J. (2003) ‘Recent advances in causal modeling methods for organizational and management research’, Journal of Management, Vol. 29, No. 6, pp.903–936.
spellingShingle An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
summary Medical tourism has become one of the most important sectors generating foreign exchange for Malaysia. The government has intensified its effort to promote the country as a popular destination among foreign travellers seeking medical care outside their country. Thus, rigorous research is expected in this particular field. In line with that, this study intends to validate the measurement model for medical tourism research. The mixed method study begins with qualitative approach and ends-up with the quantitative analysis. The medical tourism constructs involved are human capital, physical infrastructure, and patient satisfaction. In the qualitative phase, personal and focus group interviews were conducted to generate items for the respective constructs. The confirmatory factor analysis (CFA) has validated the measurement model of human capital, physical infrastructure, and patient satisfaction for unidimensionality, validity and reliability. Therefore, these measurement models can be assessed for the future research improvements.
title An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
title_full An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
title_fullStr An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
title_full_unstemmed An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
title_short An evaluation of measurement model for medical tourism research: The confirmatory factor analysis approach (Article)
title_sort evaluation of measurement model for medical tourism research: the confirmatory factor analysis approach (article)