Year 2018,
, 517 - 534, 01.03.2018
Abstract
Mediation tests define the relationship between the dependent and the independent variable in a situation appears to be no direct correlation between them. Firstly, theoretical knowledge is mentioned in this study. After that, 400 passengers use the Eskisehir Railway Station are conducted a questionnaire which was developed from Chou and Kim’s 2009 study. As a result of study, Image C is determined as a mediation variable between Technical Quality B and Satisfaction D and also Functional Quality A and Satisfaction D
References
- Agarwall, R. (2008). Public transportation and customer satisfaction: The case of Indian railways. Glob. Bus. Rev, 9(2), 257-272.
- Alpu, O. (2015). A methodology for evaluating satisfaction with high-speed train services: A case study in Turkey, Transport Policy, 44, 151-157.
- Aroian, L. A. (1944/1947). The probability function of the product of two normally distributed variables. Annals of Mathematical Statistics, 18, 265-271.
- Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research – conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173-1182.
- Byrne, M. B. (1998). Structural Equation Modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates, Mahwah- New Jersey, London.
- Cao, C., & Chen, J. (2011). An empirical analysis of the relationship amaong the service quality, customer satisfaction and loyalty of high speed railway based on structural equaitionmodel. Canadian Social Sciences, 7 (4), 67-73.
- Chou, J-S., & Kim, C. (2009). A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea. Expert Systems with Applications, 36, 6945-6955.
- Chou, P-F., Lu, C-S., & Chang, Y-H. (2014). Effects of service quality and customer satisfaction on customer loyalty in high-speed rail services in Taiwan. Transpormetrica A: Transport Science, 10 (10), 917-945. http://dx.doi.org/10.1080/23249935.2014.915247.
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/ correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum, Third edition.
- Geetika, S. N. (2010). Determinants of customer satisfaction on service quality: A study of railways plotforms in India. J. Public Transp, 13 (1), 97-113.
- Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical Association, 55, 708-713.
- Hair, F. J., Anderson, E. R., Tatham, L. R., & Black, C. W. (1998). Multivariate data analysis. Precentice Hall, New Jersey, 928p.
- Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76 (4), 408-420. doi:10.1080/03637750903310360.
- Jöreskog, K. G., & Sörbom, D. (2002). The student edition of LISREL 8.53 for Windows, Lincolnwood. IL:Scientific Software International, Inc.
- Kuo, C-W., & Tang, M-L. (2013). Relationship among service quality, corporate image, customer satisfaction, and behavioral intention for the elderly in high speed rail services. J.Adv. Transp. 47(5), 512-525. http://dx.doi.org/10.1002/atr.179.
- Lai, W-T., & Chen, C-F. (2010). Behavioral intentions of public transit passengers- The roles of service quality, perceived value, satisfaction and involvement. Transport policy, 18, 318-325. doi:10.1016/j.tranpol.2010.09.003.
- Lee, J. H., Jin, B. S., & Ji, Y. (2009). Develoment of a Structural Equation Model for ride comfort Korean High-Speed Railway. International Journal of Industrial Ergonomics, 39, 7-14.
- MacKinnon, D. P., & Dwyer, J. H. (1993). Estimating mediated effects in prevention studie. Evaluation Review, 17, 144-158.
- MacKinnon, D. P., Warsi, G., & Dwyer, J. H. (1995). A simulation study of mediated effect measures. Multivariate Behavioral Research, 30, 41-62.
- MacKinnon, D. P., Lockwood, C. M., Lockwood, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychol Methods, 7 (1), 83–104. doi:10.1037/1082-989x.7.1.83.
- Pear, J. (2001). Direct and indirect effects ın proceedings of the seventeenth conference on uncertainty in artificial intelligence. San Francisco, CA: Morgan Kaufmann, 411-420.
- Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior research methods, instruments, & computers, 36 (4),717-731.
- Preacher, K. J., Derek, D. R., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42 (1), 185-227.
- Robins, J. M., & Greenland, S. (1992). Identifiability and exchangeability for direct and indirect effects. Epidemiology, 3 (2),143–55. doi:10.1097/00001648-199203000-00013.PMID 1576220.
- Sarıdaldı, E., & Sevim, Ş. (2009). Müşteri şikâyet yönetimi performansının değerlendirilmesi: TCDD 3. bölge müdürlüğünde bir uygulama. Balıkesir Üniversitesi Sosyal. Bilimler Enstitüsü Dergisi,12 (22), 110-126.
- Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312. doi:10.2307/270723..
- Sobel, M. E. (1986). Some new results on indirect effects and their standard errors in covariance structure. Sociological Methodology, 16, 159-186. doi:10.2307/270922.
- Türkiye Cumhuriyet Devlet Demiryolları (TCDD), 2016. Erişim adresi: www.tcdd.gov.tr. Erişim tarihi: 10.02.2016.
- “Testing of Mediation Models in SPSS and SAS” (2011). Erişim Tarihi: 16.05.2016, Comm. ohio-state.edu
Year 2018,
, 517 - 534, 01.03.2018
Abstract
Aracılık testleri, bağımlı ve bağımsız değişken arasında doğrudan bir bağlantı yok gibi görünen durumlarda dolaylı ilişkiyi inceleyip tanımlar. Çalışmada öncelikle ilgili testlerin teorik bilgisi verilmiştir, daha sonra Eskişehir yüksek hızlı tren istasyonunu kullanan yolculardan 400 yolcuya Chou ve Kim’in 2009 çalışmasından yararlanarak geliştirilen bir anket uygulanarak, elde edilen veriler üzerinde bahsedilen aracılık testleri ile çalışılmıştır. Yapılan çalışma sonucunda, imaj C değişkeni hem teknik kalite B ve memnuniyet D değişkenleri arasında hem de fonksiyonel kalite A ve memnuniyet D değişkenleri arasında aracı değişken olarak tespit edilmiştir.
References
- Agarwall, R. (2008). Public transportation and customer satisfaction: The case of Indian railways. Glob. Bus. Rev, 9(2), 257-272.
- Alpu, O. (2015). A methodology for evaluating satisfaction with high-speed train services: A case study in Turkey, Transport Policy, 44, 151-157.
- Aroian, L. A. (1944/1947). The probability function of the product of two normally distributed variables. Annals of Mathematical Statistics, 18, 265-271.
- Baron, R. M., & Kenny, D. A. (1986). The moderator-mediator variable distinction in social psychological research – conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51 (6), 1173-1182.
- Byrne, M. B. (1998). Structural Equation Modeling with LISREL, PRELIS and SIMPLIS: Basic concepts, applications, and programming. Lawrence Erlbaum Associates, Mahwah- New Jersey, London.
- Cao, C., & Chen, J. (2011). An empirical analysis of the relationship amaong the service quality, customer satisfaction and loyalty of high speed railway based on structural equaitionmodel. Canadian Social Sciences, 7 (4), 67-73.
- Chou, J-S., & Kim, C. (2009). A structural equation analysis of the QSL relationship with passenger riding experience on high speed rail: An empirical study of Taiwan and Korea. Expert Systems with Applications, 36, 6945-6955.
- Chou, P-F., Lu, C-S., & Chang, Y-H. (2014). Effects of service quality and customer satisfaction on customer loyalty in high-speed rail services in Taiwan. Transpormetrica A: Transport Science, 10 (10), 917-945. http://dx.doi.org/10.1080/23249935.2014.915247.
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/ correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum, Third edition.
- Geetika, S. N. (2010). Determinants of customer satisfaction on service quality: A study of railways plotforms in India. J. Public Transp, 13 (1), 97-113.
- Goodman, L. A. (1960). On the exact variance of products. Journal of the American Statistical Association, 55, 708-713.
- Hair, F. J., Anderson, E. R., Tatham, L. R., & Black, C. W. (1998). Multivariate data analysis. Precentice Hall, New Jersey, 928p.
- Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76 (4), 408-420. doi:10.1080/03637750903310360.
- Jöreskog, K. G., & Sörbom, D. (2002). The student edition of LISREL 8.53 for Windows, Lincolnwood. IL:Scientific Software International, Inc.
- Kuo, C-W., & Tang, M-L. (2013). Relationship among service quality, corporate image, customer satisfaction, and behavioral intention for the elderly in high speed rail services. J.Adv. Transp. 47(5), 512-525. http://dx.doi.org/10.1002/atr.179.
- Lai, W-T., & Chen, C-F. (2010). Behavioral intentions of public transit passengers- The roles of service quality, perceived value, satisfaction and involvement. Transport policy, 18, 318-325. doi:10.1016/j.tranpol.2010.09.003.
- Lee, J. H., Jin, B. S., & Ji, Y. (2009). Develoment of a Structural Equation Model for ride comfort Korean High-Speed Railway. International Journal of Industrial Ergonomics, 39, 7-14.
- MacKinnon, D. P., & Dwyer, J. H. (1993). Estimating mediated effects in prevention studie. Evaluation Review, 17, 144-158.
- MacKinnon, D. P., Warsi, G., & Dwyer, J. H. (1995). A simulation study of mediated effect measures. Multivariate Behavioral Research, 30, 41-62.
- MacKinnon, D. P., Lockwood, C. M., Lockwood, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test mediation and other intervening variable effects. Psychol Methods, 7 (1), 83–104. doi:10.1037/1082-989x.7.1.83.
- Pear, J. (2001). Direct and indirect effects ın proceedings of the seventeenth conference on uncertainty in artificial intelligence. San Francisco, CA: Morgan Kaufmann, 411-420.
- Preacher, K. J., & Hayes, A. F. (2004). SPSS and SAS procedures for estimating indirect effects in simple mediation models. Behavior research methods, instruments, & computers, 36 (4),717-731.
- Preacher, K. J., Derek, D. R., & Hayes, A. F. (2007). Addressing moderated mediation hypotheses: Theory, methods, and prescriptions. Multivariate Behavioral Research, 42 (1), 185-227.
- Robins, J. M., & Greenland, S. (1992). Identifiability and exchangeability for direct and indirect effects. Epidemiology, 3 (2),143–55. doi:10.1097/00001648-199203000-00013.PMID 1576220.
- Sarıdaldı, E., & Sevim, Ş. (2009). Müşteri şikâyet yönetimi performansının değerlendirilmesi: TCDD 3. bölge müdürlüğünde bir uygulama. Balıkesir Üniversitesi Sosyal. Bilimler Enstitüsü Dergisi,12 (22), 110-126.
- Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13, 290-312. doi:10.2307/270723..
- Sobel, M. E. (1986). Some new results on indirect effects and their standard errors in covariance structure. Sociological Methodology, 16, 159-186. doi:10.2307/270922.
- Türkiye Cumhuriyet Devlet Demiryolları (TCDD), 2016. Erişim adresi: www.tcdd.gov.tr. Erişim tarihi: 10.02.2016.
- “Testing of Mediation Models in SPSS and SAS” (2011). Erişim Tarihi: 16.05.2016, Comm. ohio-state.edu
There are 29 citations in total.
Details
| Primary Language | Turkish |
|---|---|
| Journal Section | Research Article |
| Authors | |
| Publication Date | March 1, 2018 |
| Published in Issue | Year 2018 |