Thesis+Customer+Loyalty
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In short, this research found that trust, commitment, conflict handling, values and empathy ability of the bank determine the quality of the bank-customer relationship and loyalty of their customers. When the bank behaves trustworthily, shows commitment, handle handle confli conflicts cts well, well, treat treat the custom customers ers as suppos supposee they they should should,, firm-c firm-cust ustome omer r relationship would be enhanced and at the same time the firm will gain more customers loyalty towards their bank. However, trust drives customers’ loyalty more than the other dimens dimension ions. s. Manage Managers rs and market marketers ers of bankin banking g servic services es in partic particula ularr and servic servicee organizations in general, should recognize the salience of these factors in their efforts to build quality relationship with customers and to manage customer relationship more effectively.
Referenc Amine, A. (1998). Consumers’ true brand loyalty: the central role of commitment. Journal of Strategic Marketing, 6 (4), pp. 305-19.
Baldinger, A. and Rubinson, J. (1996). Brand-loyalty: the link between attitude and behavior. Journal behavior. Journal of Advertising Research, pp. 22-34.
Bang, H. K., Raymond, M. A., taylor, C. R. Moon, Y. Y. S. (2004). A comparison of service quality dimensions conveyed in advertisements for service providers in the USA and Korea, International Korea, International Marketing Review, Review, 22 (30), pp. 309-26.
91
Baumann, C., Burton, S., Elliott, G. and Kehr, H. M. (2007). Prediction of attitude and behavior intentions in retail banking. International banking. International Journal of Bank Marketing , 25 (2), pp. 102-116.
Bearden, W. W. O. and Netemeyer, R. G. (1999). Handbook of Marketing Scales: multi-item Measures for marketing and consumer behavior research. 2nd ed. USA: Sage Publications.
Beeli, A., Martin, J.D. and Quintana, Quintan a, A. (2004). A model of customer loyalty lo yalty in the retail banking market. European market. European Journal of Marketing , 38 (1/2), pp. 253-275.
Bendapud Bendapudi, i, N., and Berry Berry,, L. L. (1997) (1997).. Custom Customers ers’’ motiva motivatio tion n for maintai maintainin ning g relationship with service providers. Journal providers. Journal of Retailing, 73 (1), pp. 15-37.
Berry, L. (1996). On great service: a framework for actions. Journal of the academy of Marketing Science, Science, 24 (2), pp. 176.
Bhatty, Bhatty, M., Skinkle, Skinkle, R., and Spalding, T. (2001). Redefining customer loyalty, loyalty, the customer’s way. way. Journal of Ivey Ive y Business, 65 (3), pp.13-7. pp.1 3-7. Bitner, M. J. (1990) Evaluating service encounters: the effects of physical surroundings and employee responses. Journal responses. Journal of Marketing, 54 (2), pp. 69-82.
Bitner, M. J., Bernard, H. B., and Mary S. T. (1990). The service encounter: diagnosing favorable and unfavorable incidents. Journal incidents. Journal of Marketing, 54 (1), pp. 71-94.
Blankenship, A. B., Breen, G. E. and Dutka, A. (1998). State of the Art Marketing Research. 2nd ed. USA: NTC Business Books.
Boulding, W., Ajay K., Richard S., and Zeithaml, V. A. (1993). A dynamic process model of service quality: from expectations to behavioral intentions. Journal intentions. Journal of Marketing Research, 30 (1), pp. 7-27. 92
Bowen, J. T. and Shoemaker, S. (1998). Loyalty: a strategic commitment. The Cornell Hotel and Restaurant Administration Quarterly, Quarterly, 44 (5), pp. 31-47.
Caruana, A. (2002). Service loyalty: the effects of service quality and the mediating role opean Journal of Marketing , 36 (7-8), pp. 811-28. of customer satisfaction. Eur opean
Cavana, Cavana, R. Y., Delahay Delahaye, e, B. D. & Sekara Sekaran, n, U. (2001) (2001).. Applie Applied d busine business ss resear research: ch: qualitative and quantitative methods. Melbourne: John Wiley & Sons.
Churchill, G. A. and Peter, P. (1984). Research design effects n the reliability of rating scales: a meta-analysis. Journal of Marketing Research, 21 (4), pp. 360-75.
Coakes, S. J. & Steed, L. (2007). SPSS version 14.0 for windows. Australia: John Wiley & Sons.
Cronin, J., Brady, Brady, M. and Hult, T. (2000). Assessing the effects of quality, quality, value, and cust custom omer er
sati satisf sfac acti tion on
on
cons consum umer er
beha behavi vior oral al
inte intent ntio ions ns
in
serv servic icee
Journal of Retailing , 76 (2), pp. 193-218. environments. Journal Cooper, D. R. & Schindler, P. P. S. (2006). Business research methods 9th ed. McGraw Hill.
Crosby, Crosby, L. A. & Tailor, J. R. (1983). Psychological commitment and its effects on post-decision evaluation and preference stability among voters. Journal of Consumer Research, 9 (March), pp. 413-431.
Curasi, C. and Kennedy, K. (2002). From prisoner to apostles: a typology of repeat buyers and loyal customers in service business. Journal business. Journal of service Marketing, 16 (4), pp. 322-41.
Day, G. S. (1969). A two-dimension concept of brand loyalty. Journal of Advertising Research, 9 (3), pp. 29-35.
93
De vaues, D.A. (2002). Surveys Surve ys in social research. Sydney: Allen Allen & Unwin.
Disney, J. (1999). Customer satisfaction and loyalty: the critical elements of service quality. Total Quality Management, 10 (4-5), pp. 491-98.
Dwyer, F.R., Schurr, P.H. and Oh, S. (1987). Developing buyer-seller relationships. Journal of Marketing , 51 (2), pp. 11-27.
Egan, J. (2000). Drivers to relational strategies in retailing. International Journal of Retail & Distribution Management, 28 (8), pp. 379-86.
Evans, K.R. and Beltramini, R.F. (1987). A theoretical model of consumer negotiated pricing: an orientation perspective. Journal perspective. Journal of Marketing, 51, pp. 58-73. File, File, K. M. and Princ Prince, e, R. A. (1993) (1993).. Evaluat Evaluating ing the effec effectiv tivenes enesss of intera interacti ctive ve marketing. Journal marketing. Journal of Service Marketing , 7 (3), pp. 49-58.
Fornell, Fornell, C., Johnson, Johnson, M. D., Anderson, Anderson, E. W., W., Cha, J., and Bryant, Bryant, B. E. (1996)T (1996)T. he american customer satisfaction index: nature, purpose, and findings. Journal findings. Journal of Marketing, 60 (October), pp. 7-18. Foster Foster,, B., and Cadoga Cadogan, n, J. (2000) (2000).. Relati Relations onship hip sellin selling g and custom customer er loyalty loyalty:: an Planning,18 (4), pp. 185-99. empirical investigation. Marketing Intelligence and Planning,18
Founie Founierr, S. (1998) (1998).. Consum Consumer er and their their brands brands:: develop developing ing relati relations onship hip theory theory in consumer research. Journal research. Journal of Consumer Research, 24 (4), pp. 343-374.
Ganesh, J., Arnold, M. J., and Reynolds, K. E. (2000). Understanding the customer base of service providers: an examination of the differences between switchers and stayers. Journal stayers. Journal of Marketing, 65 (3), pp. 65-87.
Gremler, D. D., and Stephen, W. W. B. (1999). The loyalty ripple effect appreciating the full value of customers. International Journal of Service Industry Management, 10 (3), pp. 271-91. 94
Gutman, J. (1982). (1982). A means-end chain model based on consumer consumer categories categories processes. processes. Journal of Marketing, 46 (Spring), pp. 60-72.
Gutman, J. (1991). Exploring the nature of linkages between consequences and values. Journal of Business Research, 22 (March), pp. 60-72.
Managing Service Quality,12 Quality,12 (6), pp. Heskett, J. L. (2002). Beyond customer loyalty. Managing 355-7.
Heskett, J., Jones, T. O., Loveman, G. W., and Schlesinger, L. A. (1994). Putting the Review, 72 (2), pp. 164-174. service-profit chain to work. Harvard work. Harvard Business Review,
Hofmeyr, J. and Rice, B. (2000). Commitment-led marketing. UK: John Wiley & Sons.
Huber, F., Herrmann, A. and Morgan, R. E. (2001). Gaining competitive advantage through customer value oriented management. The Journal Marketing , 18 (1), pp. 41-53. Huseyin, A., Salih, T. K., and Salime, M. S. (2005). A comparison of service quality in the banking industry. International International Journal of Bank Marketing, Marketing, 23 (7), pp. 50826.
Journal of Advertising Advertising Research Research,, 11 Jacob, J. (1971). A model of multi-brand loyalty. Journal (3), pp. 25-31.
Jacoby, J., and Chestnut, R. W. (1978).Brand loyalty measurement and management. New York: John Wiley & Son.
Keating, B., Rugimbana, R., and Quazi, A. (2003). Differentiating between service quality and relationship quality in cyberspace. Managing Service Quality, 13 (3), pp. 217-32.
95
Keaveney, S. (1995). Customer switching behavior in service industries: an exploratory study. Journal study. Journal of Marketing, 59 (71-82).
Jacoby, J. & Kyner, D. B. (1973). Brand loyalty vs. repeat purchasing behavior. Journal behavior. Journal of Marketing Research, Chicago, Chicago, 10 (1), pp. 1-10.
Jones, T. O. and Sasser, W. W. E. (1995). Why satisfied customers defect. Harvard defect. Harvard Business Review, 73 (6), pp. 88-99.
Kandampully, J. (1998). Service quality to service loyalty: a relationship which goes beyond customer services. services. Total Quality Management , 9 (6), pp. 431-43.
Keaveney, S. (1995). Customer switching behavior in service industries: an exploratory study. Journal of Marketing, 59, pp. 71-82.
Kettinger, W. J. and Lee. C.C. (1995). Perceived service quality and user satisfaction with the information services function. Decision function. Decision Sciences, 25 (5), pp. 737-66.
Knox, S., and Walker, D. (2001). Measuring and managing brand loyalty. Journal of Strategic Marketing, 9 (2), pp. 111-28. 111-28.
Kunyk, D. & Olson, J.K. (2001). Clarification of conceptualizations of empathy. Journal empathy. Journal of Advanced Nursing , 35 (3), pp. 317-25.
Leowenthal, K.M. (1996). An introduction to psychological test ans scales. 141.
Malhotra, N.K., Hall, J., Shaw, M. and Crisp, M. (1996). Marketing research: an applied orientation. Sydney NSW, NSW, Australi: Prentice Hall.
Miles, Miles, M.B. M.B. and Huberm Huberman, an, A.M. 91994) 91994).. Qualit Qualitati ative ve data data analysi analysis: s: an expande expanded d sourcebook. 2nd ed. USA: Sage.
96
Moorman, C., Zaltman, G. and Deshpande, R. (1992). Relationship between providers and and user userss of mark market et rese resear arch: ch: the the dynam dynamic icss of trus trustt with within in and and betwe between en organizations. Journal organizations. Journal of Marketing Research,29 Research,29 (3), pp.314-28.
Morgan, R. and Hunt, S. (1994). The commitment-trust theory of relationship marketing. Journal of Marketing, 58 (3), pp. 20-38.
Morris, D. S., Barnes, B. R., and Lynch, J. E. (1999). Relationship marketing needs total quality Management. Total Quality Management, 10 (4-5), pp. 659.
Naceur, J. and Azaddin, K. (2005). A customized measure of service quality in the UAE. Managing Service Quality, Quality, 15 (4), pp. 374-88.
Naresh, K., M. (1986). Consumer behavior and marketing actions. Journal actions. Journal of Marketing Science, 11 (1), pp. 191-93.
Ndubisi, N. O. (2004). Understanding the salience of cultural dimensions on relationship marketing, it’s underpinnings and aftermaths. Cross Cultural Management, 11 (3).
Ndubis Ndubisi, i, N. O. (2007) (2007).. Relati Relations onship hip market marketing ing and custom customer er loyalty loyalty.. Marketing Intelligence & Planning, 25 (1), pp. 98-106.
Ndubis Ndubisi, i, N. O. and Wah, C.K.
(2005) (2005).. Factor Factorial ial and discri discrimin minant ant analyses analyses of the
underpinnings of relationship marketing and customer satisfaction. International satisfaction. International Journal of Bank Marketing, 23 (7), pp. 542-557.
Neuman, W. W. L. (2003). Social research methods: qualitative and quantitative approaches. 5th ed. Boston, USA: Allyn & Bacon.
Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20 (3), pp. 418-30. 97
Oliver, R. L. (1999). Whence consumer loyalty?. Journal loyalty?. Journal of Merketing, 63, pp.33-44.
Olsen, Olsen, S. (2002) (2002).. Compar Comparati ative ve evaluat evaluation ion and the relati relations onship hip betwee between n quality quality,, satisfaction and repurchase loyalty. loyalty. Journal of Academy of Marketing Science, Science, 30 (3), pp. 240-9.
Parasuraman, A. (1997). Reflections on gaining competitive advantage through customer Value. Journal Value. Journal of the Academy of Marketing Science, Science, 25 (2), pp. 154-61.
Parasuraman, A., Zeithaml, V. V. A. and Berry, Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. Journal research. Journal of Marketing, 49 (4), pp. 41-50.
Parasuraman, A., Zeithaml, V. A. and Berry, L. L. (1988). SERVQUAL: a multiple-item scale for measuring consumer perceptions of service quality. Journal quality. Journal of Retailing , 64, pp. 12-40.
Parasuraman, A. and Grewal, D. (2000). The impact of technology on the quality-valueloyalty chain: a research agenda. Journa agenda. Journall of the Academy of Marketing Marketing Science, Science, 28 (1), pp. 168-74.
Park, C., and Kim, Y. Y. (2003). (2003). Identifyi Identifying ng key factors factors affecting affecting consumer purchase behavi behavior or in an online online shoppi shopping ng context context.. Inter Internati national onal Journal Journal of Retail Retail & Distribution Management, 31 (1), pp. 69-29.
Presse Pressey y, A. D., and Mathew Mathews, s, B. P. (2000) (2000).. Barrie Barriers rs to relati relations onship hip market marketing ing in consumer retailing. Journal retailing. Journal of Services Marketing, 14 (3), pp. 272-86.
Pritchard, M., Havitz, M. and Howard, D. (1999). Analyzing the commitment-loyalty link in service contexts. Journal contexts. Journal of the Academy of Marketing Science, Science , 27 (3), pp. 333-48. 98
Pruitt, D.G. (1981). Negotiation Behaviour. New York:Academic York:Academic Press Inc.
Ranchhod, A. and Zhou, F. (2001). Comparing respondents of e-mail and mail surveys: understanding the implications of technology technolog y. Marketing Intelligence and Planning , 19 (4), pp. 254-62.
Raymond, M.A. and Rylance, W. (1995). Evaluation and management of professional services in Korea. Advances Korea. Advances in International Marketing, 7, pp. 111-15. 111-15.
Reichheld, F. and Aspinall, K. (1993). Building high-loyalty business systems. Journal of Retail Banking, 15 (4), pp. 21-9.
Reichheld, F. (1996). Learning from customer defections. Harvard defections. Harvard Business Review, 74 (2), pp. 56-69.
Reichheld, F. F., and Sasser, W. E. (1990). Zero defections: quality comes to services. Harvard Business Review, Review, 68 (5), pp. 105-11.
Reichheld, F. F.(2003). The one number you need to grow. Harvard grow. Harvard Business Review, Review, 81 (12), pp. 46-54.
Reichheld, F. and Schefter, P. P. (2000). E-loyalty: your secret weapon on the web. Harvard web. Harvard Business Review, Review, 78 (4), pp. 105-13.
Tyan, G.W. and Bernard, H.R. (2000). Data management and analysis methods. In handbook of qualitative research, USA” Denzin, N.K. and Lincoln, Y.S. Sage
Publications.
Sekaran, U. (2004). Research method for business: a skill building approach. New York: John Wiley & Sons.
99
Selnes, F. (1998). Antecedents and consequence of trust and satisfaction in buyer-seller relationship. European relationship. European Journal of Marketing , 32 (3), pp. 305-22.
Shanker, V,. Smith, A., and Rangaswamy, A. (2003). Customer satisfaction and loyalty in online online and offli offline ne enviro environme nments nts.. Inter Internat nation ional al Journal Journal of Resear Research ch in Marketing, 20 (2), pp. 153-75.
Sirdeshmukh, D. S., J. and Sabol, B. (2002). Consumer trust, value, and loyalty in relational exchanges. Journal exchanges. Journal of Marketing, 66 (15-37).
Slater, S. (1997). Developing a customer value-based theory of the firm. Journal firm. Journal of the Academy of Marketing Science, Science, 25 (2), pp. 162-7.
Srinivasan, S., Anderson, R., and Ponnavolu (2002). Customer loyalty in e-commerce: an exploration of its antecedents and consequences. Journal consequences. Journal of Retailing, 78 (1), pp. 41-50.
Storbacka, K., Strandvik, T. and Gronross, C. (1994). Managing customer relationships for profit: the dynamics of relationship quality. International Journal of Service Industry Management, 5 (5), pp. 21-38.
Tepeci, M. (1999). Increasing Brand Loyalty in the Hospitality Industry. International Journal of Contemporary Hospitality Management, 11 (5), pp. 223-9.
Vandermerwe, S. (2003). Customer-minded growth through services. Managing Service Quality, Quality, 13 (4), pp. 262-6.
White, S. and Schneider, B. (2000). Climbing the commitment ladder: the role of expectations disconfirmation on consumers’ behavioral intentions. Journal of Service Research, 2 (3), pp. 240-53.
Wilkie, W. W. L. (1994). Consumer behavior, b ehavior, 3rd ed., New York: John Wiley & Sons. 100
Wong, A. and Sohal, A. (2002). An examination of the relationship between trust, commitment commitment and relationshi relationship p quality quality. Interna Internatio tional nal Journal Journal of Retail Retail and Distribution Management, 30 (1), pp. 34-50.
Wong, A., and Sohal, A. (2003). Service quality and customer loyalty perspective on two levels of retail relationship. Journal relationship. Journal of Service Marketing, 17 (5), pp. 495-513.
Vavra, T. T. G. (1992). After marketing: how ho w to keep customers for life through relationship marketing. Homewood: Business One Irwin.
Zeithaml, V. V. A., Berry, Berry, L. L., and Parasuraman, A. (1996). The behavioral beh avioral consequences of service quality. quality. Journal of Marketing, 60 (April), pp. 31-46.
Zeithaml, V. A. (1981). How consumer evaluation process differ between goods and services. services. In Services Services marketing marketing Proceedings Proceedings.. Chicago: Chicago: American Marketing Marketing Association.
Zeitham Zeithaml, l, V. A. (2000) (2000).. Servic Servicee quality quality,, profit profitabi abilit lity y, and the economi economicc worth worth of customers: what we know and what we need to learn. Journal of the Academy of Marketing Science, 28 (1), pp. 67-85.
Zeithaml, V. A., Berry, L. L., and Parasuraman, A. (1996). The behavioral consequences of service quality. Journal quality. Journal of Marketing , 60, pp. 31-46.
Methods, 6th edn, The Dryden Press, Harcourt Zikmund, W. (2000). Business (2000). Business Research Methods, College Publishers.
101
APPENDIX A
102
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PART 1
DEMOGRAPHIC. ( Choose the suitable answer and tick in the box given for each question.
1. Gender
Male
Female
2. Ag e
Below 20 years
20 – 39 years
40 – 59 years
60 years and above
Malay
Chinese
Indian
Others
Islam
Buddha
3. R a c e
4. Religion
103
Hindu
Others
5. Highes Highestt educat education ional al qual qualifi ificat cation ion
Primary
Secondary
HSC/Diploma
Degree
Postgraduate
Others
6. Occupati ation
Government Sector
Private Sector
Own Business
Student
Others
7. Mont onthly hly Inc Incom omee
Belo Below w RM 2000 2000
RM 2000 2000 – RM 3999 3999
RM 4000 – RM 5999
RM 6000 and above 104
PART 11
Choose the statement which u thinks accurate and circle the score provided for each question given. Strongly
Disagree
No Opinion
Agree
Strongly
Disagree 1
Agree 2
3
4
5
1. The bank is very concern with with security for my transactions
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
5. The bank fulfills its obligation to customers
1
2
3
4
5
6. I have confidence in the bank’s services
1
2
3
4
5
7. The bank makes adjustment to suit my needs
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
2
3
4
5
2. The bank’s promises are reliable 3. The bank is consistent in providing quality service 4. Employee of the bank show respect to customers
8. The bank offers personalized services to meet customer’s need 9. The bank is flexible when its services are changed 10. The bank is flexible in serving my needs
11. Services of the bank are in line with our social values
1 105
12. Services of the bank are consistent with my personal values
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
1
2
3
4
5
13. Services of the bank are consistent with my life goals 14. My bank value me as a customer 15. Service of this bank contributed to the welfare of the society 16. Employees of the bank deal with customer’s in a caring fashion 17. Bank employee’s give the individualized attention to customers
18. The employees of the bank understand your specific needs 19. Bank employees have the customer’s best interest at heart 20. Bank has operating hours convenient to all its customers 21. The bank tries to avoid potential conflict 22. The bank tries to solve manifest conflicts before they create problems 23. The bank has the ability to openly discuss solutions when problem arise 24. The bank is responsive to my complaints 25. The service provider shows a sincere interest in solving customer problem 26. Considering the bank as first choice among other banks in the area; and the bank that first comes to my mind when making purchases decision on bank services. 27. If I had to do it over again, I would still choose to use the bank 106
28. I do not like to change to another bank because I value the selected bank
1
29. I am a customer loyalty to my bank
2
3
4
5
1
2
3
4
5
1
2
3
4
5
30. I would always recommend my bank to someone who seeks my advice
APPENDIX B
107
RELIABILITY
108
Customer's Loyalty
Reliability Statistics
Cronbach's Alpha .9 0 1
Cronbach's Alpha Alpha Based on Standardized Ite ms .9 0 1
N of Ite ms 5
Item-T Ite m-Total otal Statistics
Scale Mean if Item Deleted Customer's Loyalty 26 15.50
Scale Variance if Item Deleted 10.135
Corrected Item-Total Correlation .730
Cronbach's Alpha if Item Deleted .885
Customer's Loyalty 27
15.57
9.283
.765
.876
Customer's Loyalty 28
15.50
8.923
.803
.868
Customer's Loyalty 29
15.44
8.686
.806
.868
Customer's Loyalty 30
15.55
10.293
.677
.895
Trust Dimension
109
Re liability Statistics Statistics
Cronbach's Alpha .8 5 6
Cronbach's Alpha Based on Standardized Items .859
N o f Ite ms 6
Ite m-Total m-Total Statistics
Trust 1
Scale Mean if Item Deleted 1 9 .2 9
Scale Variance if Item Deleted 9 .7 2 6
Corrected Item-Total Correlation .6 9 6
Cronbach's Alpha if Item Deleted .8 2 2
Trust 2
1 9 .4 5
9 .9 1 3
.6 8 8
.8 2 4
Trust 3
1 9 .5 5
9 .6 5 1
.6 6 0
.8 2 8
Trust 4
1 9 .5 2
1 0 .0 1 8
.5 0 1
.8 6 2
Trust 5
1 9 .3 6
9 .8 6 8
.6 7 5
.8 2 6
Trust 6
1 9 .3 8
9 .8 3 0
.6 6 9
.8 2 7
Commitment Dimension Reliability Statistics
Cronbach's Alpha . 85 8
Cronbach's Alpha Based on Standardized Items .8 58
N of Items 4
110
Item-Total Statistics
Commitment 7
Scale Mean if Item Deleted 1 1 .1 2
Scale Variance if Item Delete d 5 .9 2 8
Corrected Item-Total Correlation .603
Cronbach's Alpha if Item Deleted .8 5 8
Commitment 8
1 1 .0 2
5 .1 7 5
.746
.8 0 0
Commitment 9
1 1 .0 9
5 .4 7 3
.730
.8 0 7
Commitment Commitment 1 0
1 1 .1 2
5 .6 0 7
.735
.8 0 6
Conflict Handling Dimension Reliability Statistics
Cronbach's Alpha . 86 9
Cronbach's Alpha Based on Standardized Items .8 69
N of Items 5
Item-Total Statistics
Conflict Handling 11
Scale Mean if Item Deleted 1 5 .49
Scale Variance if Item Deleted 8 .38 3
Corrected Item-Total Correlation .7 5 1
Cronbach's Alpha if Item Deleted .8 26
Conflict Handling 12
1 5 .38
8 .20 7
.7 8 7
.8 17
Conflict Handling 13
1 5 .41
8 .52 2
.7 1 3
.8 36
Conflict Handling 14
1 5 .40
8 .97 1
.5 8 0
.8 70
Conflict Handling 15
1 5 .49
9 .30 3
.6 4 2
.8 53
111 111
Values Dimension Re liability Statistics Statistics
Cronbach's Alpha .8 3 6
Cronbach's Alpha Based on Standardized Items .838
N o f Ite ms 5
Item-Total Statistics
Values 16
Scale Mean if Item Delete d 14.02
Scale Variance if Item Delete d 8 .7 2 2
Corrected Item-Total Correlation . 61 4
Cronbach's Alpha if Item Deleted .810
Values 17
13.99
8 .4 4 5
. 66 5
.796
Values 18
14.24
8 .4 3 1
. 69 9
.786
Values 19
14.34
8 .5 4 7
. 72 9
.780
Values 20
14.25
9 .2 3 8
. 49 7
.842
Empathy Dimension Re liability Statistics Statistics
Cronbach's Alpha .8 5 5
Cronbach's Alpha Based on Standardized Items .856
N o f Ite ms 5
112
Item-Total Statistics
Empathy Empathy 2 1
Scale Mean if Item Deleted 1 5 .3 8
Scale Variance if Item Delete d 8 .1 4 9
Corrected Item-Total Correlation .5 7 3
Cronbach's Alpha if Item Deleted .8 4 8
Empathy Empathy 2 2
1 5 .3 5
8 .0 9 7
.6 4 4
.8 3 3
Empathy Empathy 2 3
1 5 .3 9
7 .2 7 6
.7 4 4
.8 0 5
Empathy Empathy 2 4
1 5 .3 3
7 .2 3 1
.6 7 4
.8 2 5
Empathy Empathy 2 5
1 5 .3 0
7 .0 3 1
.7 2 0
.8 1 1
CORRELATIONS
113
114
Correlations
Trust
Conflict_ Customer_ Trus Trustt Com Commitm itment ent Handl andling Values Empath athy Loyalty Pearson Correlation 1 .663** .588** .585** .720** .720** Sig. (2-tailed) .0 0 0 . 0 00 .0 0 0 .0 0 0 . 00 0 N
13 8
138
13 8
138
138
13 8
Pearson Correlation
.663**
1
.671**
.621**
.661**
.674**
Sig. (2-tailed)
. 0 00
. 0 00
.0 0 0
.0 0 0
. 00 0
N
13 8
138
13 8
138
138
13 8
Conflict Handling Pearson Correlation
.588**
.671**
.665**
.631**
.681**
Sig. (2-tailed)
. 0 00
.0 0 0
.0 0 0
.0 0 0
. 00 0
N
13 8
138
13 8
138
138
13 8
Pearson Correlation
.585**
.621**
.665**
.729**
.689**
Sig. (2-tailed)
. 0 00
.0 0 0
. 0 00
.0 0 0
. 00 0
N
13 8
138
13 8
138
138
13 8
Pearson Correlation
.720**
.661**
.631**
.729**
Sig. (2-tailed)
. 0 00
.0 0 0
. 0 00
.0 0 0
N
13 8
138
13 8
138
138
Customer Loyalty Pearson Correlation
.720**
.674**
.681**
.689**
.744**
Sig. (2-tailed)
. 0 00
.0 0 0
. 0 00
.0 0 0
.0 0 0
N
13 8
138
13 8
138
138
Commitment
Values
Empathy
1
**. Correlation is significant at the 0.01 level (2-tailed).
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115
1
1
.744** . 00 0 13 8 1 13 8
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116
Model Summaryb
Model 1
Adjusted R Square .6 7 5
R R Sq uar e a .829 .6 8 7
Std. Error of the Estimate .4 3 3 1 8
DurbinWatson 1 .7 7 2
a. Predictors: (Constant), Empathy, Conflict_Handling, Commitment, Trust, Values b. Dependent Variable: Customer_Loyalty Customer_Loyalty
ANOVAb
Model 1
Regression
Sum of Squares 54 .30 6
df 5
Mean Square 1 0 .8 6 1 .1 8 8
Residual
24 .76 9
132
Total
79 .07 5
137
F 57 .8 8 2
Sig. .0 00a
a. Predictors: (Constan t), Empathy, Conflict_Handling, Conflict_Handling, Commitment, Commitment, Trust, Values b. Dependent Variable: Customer_Loyalty
Coefficientsa Unstandardized Coefficients Model 1
B - .212
(Constant)
Standardized Coefficients
Std. Error .2 .250
Collinearity Statistics
Beta
t -.849
Sig. .3 .397
Tolerance
VIF
Trust
.327
.093
.266
3.515
.001
.415
2.411
Commitment
.108
.075
.109
1.433
.154
.413
2.423
Conflict_Handling
.199
.077
.190
2.572
.011
.436
2.295
Values
.172
.082
.163
2.101
.038
.393
2.546
Empathy
.273
.096
.243
2.834
.005
.324
3.087
a. Dependent Variable: Customer_Loyalty
a Collinearity Diagnostics
Variance Proportions Model 1
Eigenvalue 5.9 32
Condition In de de x 1.000
( Co Co ns nst an ant ) .00
T ru rus t .00
C om ommitme nt nt .00
Conflict_ Ha nd nd lliin g .0 0
Va llu ue s .0 0
Emp at ath y .00
2
.0 23
16 1 6 .06 9
.63
.01
.10
.0 2
.0 9
.00
3
.0 16
19 1 9 .27 8
.00
.02
.50
.0 0
.4 4
.02
4
.0 13
21 2 1 .31 5
.05
.13
.01
.6 8
.0 0
.14
5
.0 10
24 2 4 .81 2
.28
.23
.38
.2 9
.2 6
.10
6
.0 07
30 3 0 .06 0
.03
.61
.01
.0 0
.2 1
.73
Dimension 1
a. Dependent Variable: Customer_Loyalty
117
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NORMALITY
118
Case Proce ssing Summary Summary Cases Va l i d N
Mi s s i n g N
T o ta l
Trust
1 38
P e r ce n t 10 10 0 . 0 %
0
Pe r ce n t .0 %
N 1 38
Pe r c e n t 10 10 0 . 0 %
Commitment Conflict_Handling
1 38
10 10 0 . 0 %
0
.0 %
1 38
10 10 0 . 0 %
1 38
10 10 0 . 0 %
0
.0 %
1 38
10 10 0 . 0 %
Values
1 38
10 10 0 . 0 %
0
.0 %
1 38
10 10 0 . 0 %
Empathy
1 38
10 10 0 . 0 %
0
.0 %
1 38
10 10 0 . 0 %
Customer_Loyalty
1 38
10 10 0 . 0 %
0
.0 %
1 38
10 10 0 . 0 %
Descriptives
Trust
Mean 95% Confidence Interval for Mean
Statistic 3.8853 Lower Bound Upper Bound
3.9893 3.9227
Median
4.0000 .382
Std. Deviation
.61832
Minimum
2.00
Maximum
5.00
Range
3.00
Interquartile Range
.58
Skewness Kurtosis Commitment
3.7812
5% Trimmed Mean Variance
Mean 95% Confidence Interval for Mean
Std. Error .05263
Lower Bound Upper Bound
-1.012
.206
1.321
.410
3.6957
.06529
3.5665 3.8248
5% Trimmed Mean
3.7154
Median
4.0000
Variance
.588
Std. Deviation
.76698
Minimum
1.50
Maximum
5.00
Range
3.50
Interquartile Range
1.06
Skewness
-.383
.206
Kurtosis
-.446
.410
119
Conflict_Handling
Mean 95% Confidence Interval for Mean
3.8580 Lower Bound Upper Bound
3.8882 4.0000 .525 .72463
Minimum
2.00
Maximum
5.00
Range
3.00
Interquartile Range
1.00
Skewness
-.584
.206
Kurtosis
-.305
.410
3.5420
.06144
Mean 95% Confidence Interval for Mean
Lower Bound Upper Bound
3.4205 3.6635
5% Trimmed Mean
3.5675
Median
3.6000
Variance
.521
Std. Deviation
Empathy
3.9799
Median Std. Deviation
Values
3.7360
5% Trimmed Mean Variance
.06168
.72180
Minimum
1.60
Maximum
5.00
Range
3.40
Interquartile Range
1.00
Skewness
-.521
.206
Kurtosis
-.126
.410
3.8377
.05747
Mean 95% Confidence Interval for Mean
Lower Bound Upper Bound
3.7240 3.9513
5% Trimmed Mean
3.8707
Median
4.0000
Variance
.456
Std. Deviation
.67513
Minimum
1.80
Maximum
5.00
Range
3.20
Interquartile Range
1.00
Skewness Kurtosis
120
-.683
.206
.159
.410
Customer_Loyalty
Mean
3.8783
95% Confidence Interval for Mean
Lower Bound
.06467
3.7504
Upper Bound
4.0061
5% Trimmed Mean
3.9142
Median
4.0000
Variance
.577
Std. Deviation
.75973
Minimum
1.60
Maximum
5.00
Range
3.40
Interquartile Range
1.00
Skewness
-.701
.206
Kurtosis
-.045
.410
Tests of Normality a
Kolmogorov-Smirnov Trust
Statistic .190
df
Shapiro-Wilk
138
Sig. .000
Statistic .920
df 138
Sig. .000
Commitment
.161
138
.000
.964
138
.001
Conflict_Handling
.165
138
.000
.951
138
.000
Values
.143
138
.000
.963
138
.001
Empathy
.144
138
.000
.954
138
.000
Customer_Loyalty
.158
138
.000
.943
138
.000
a. Lilliefors Significance Correction
121
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122
Descriptives
Customer_Loyalty 95% Confidence Interval for Mean N Malay
95
Mean ean Std. td. Dev Deviati ation Std. td. Error rror Low Lower Bound ound Upper pper Bound ound Minim Minimum um Maxim Maximum um 3 .7 8 1 1 .7 2 5 8 6 .0 74 4 7 3 .6 3 3 2 3 .9 28 9 1 .6 0 4 .8 0
Chinese
31
3 .9 9 3 5
.8 7 5 5 7
.1 57 2 6
3 .6 7 2 4
4 .3 14 7
2 .2 0
5 .0 0
Indian
12
4 .3 5 0 0
.4 8 3 3 6
.1 39 5 3
4 .0 4 2 9
4 .6 57 1
3 .6 0
5 .0 0
Total
138
3 .8 7 8 3
.7 5 9 7 3
.0 64 6 7
3 .7 5 0 4
4 .0 06 1
1 .6 0
5 .0 0
Test of Homogeneity of Variances Customer_Loyalty Levene Statistic 2 .9 5 8
d f1 2
df2 135
Sig . .0 5 5
ANOVA Customer_Loyalty
Between Groups
Sum of Squares 3 .9 8 0
df 2
Mean Square 1 .9 9 0 .5 5 6
Within Groups
7 5 .0 9 5
135
Total
7 9 .0 7 5
137
123
F 3.578
Sig. .0 3 1
Descriptives
Customer_Loyalty 95% Confidence Interval for Mean Islam
N 95
Mean ean Std. Std. Devi Deviati a tion Std. Std. Erro Errorr Low Lower Bound ound Upper pper Boun Boundd 3.7811 .72586 .07447 3.6332 3.9289
Minim Minimum um 1.60
Maxim Maximum um 4.80
Buddha
31
3.9935
.87557
.15726
3.6724
4.3147
2.20
5.00
Hindu
12
4.3500
.48336
.13953
4.0429
4.6571
3.60
5.00
Total
13 8
3.8783
.75973
.06467
3.7504
4.0061
1.60
5.00
Te st of Homogene ity of Variances Variances Customer_Loyalty Levene Statistic 2 .9 5 8
d f1
d f2 135
2
Sig . .0 5 5
ANOVA Customer_Loyalty
Between Groups
Sum of Squares 3 .9 8 0
df 2
Me an Square 1.990 .556
Within Groups
7 5 .0 9 5
135
Total
7 9 .0 7 5
137
124
F 3 .5 7 8
Sig. .0 3 1
Descriptives
Customer_Loyalty 95% Confidence Interval for Mean Below than RM2000
N 70
Mean ean Std. Std. Devi Deviatio a tionn Std. td. Erro Errorr Low Lower Boun Boundd Upper pper Boun Boundd 3.7943 .75831 .09064 3.6135 3.9751
RM2000 till RM3999
56
3.9607
.75743
.10122
3.7579
RM4001 till RM5999
10
3.8800
.79554
.25157
RM6000 and above
2
4.5000
.70711
138
3.8783
.75973
Total
Minimum Minimum 1.60
Maximu Maximum m 5.00
4.1636
1.80
5.00
3.3109
4.4491
2.60
5.00
.50000
-1.8531
10.8531
4.00
5.00
.06467
3.7504
4.0061
1.60
5.00
Te st of Homogene ity of Variance Variance s Customer_Loyalty Levene Sta tistic .0 6 0
d f1
d f2 1 34
3
Sig . .9 8 1
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ANOVA Customer_Loyalty
Between Groups
Sum of Squares 1.647
df 3
Mean Square .549 .578
Within Groups
77.427
134
Total
79.075
137
125
F .950
Sig. .418
Descriptives
Customer_Loyalty 95% Confidence Interval for Mean N Primary
Mean ean Std. Std. Devi Deviat atio ionn Std. Std. Erro Errorr Low Lower Boun Boundd Upper pper Boun Boundd 4 .0 0 00 . . . .
1
Minim Minimum um 4. 4.0 0
Maxi Maximu mum m 4. 4.0 0
Secondary
13
3 .5 3 85
.7 5 4 4 7
.2 09 25
3 .0 8 2 5
3 .9 94 4
2 .4 0
4 .8 0
HSC/Diploma
30
3 .8 6 67
.7 2 6 5 1
.1 32 64
3 .5 9 5 4
4 .1 37 9
2 .4 0
5 .0 0
Degree
78
3 .9 0 51
.7 6 1 9 0
.0 86 27
3 .7 3 3 3
4 .0 76 9
1 .8 0
5 .0 0
Postgraduate
14
4 .0 4 29
.8 8 8 1 4
.2 37 37
3 .5 3 0 1
4 .5 55 7
1 .6 0
5 .0 0
2
4 .0 0 00
.0 0 0 0 0
.0 00 00
4 .0 0 0 0
4 .0 00 0
4 .0 0
4 .0 0
1 38
3 .8 7 83
.7 5 9 7 3
.0 64 67
3 .7 5 0 4
4 .0 06 1
1 .6 0
5 .0 0
Others Total
Test of Homogene ity of Variances Customer_Loyalty Levene Sta tistic .918 a
d f1 4
d f2 1 32
Sig . .4 5 6
a. Groups with with only one case are ignored in computing computing the test of homogeneity of variance for Customer_Loyalty. Customer_Loyalty.
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ANOVA Customer_Loyalty
Between Groups
Sum of Squares 1.985
df 5
Mean Square .397 .584
Within Groups
77.090
132
Total
79.075
137
126
F .680
Sig. .6 3 9
Descriptives
Customer_Loyalty 95% Confidence Interval for Mean N Goverment Private
3
Mean ean Std. td. Dev Deviati ation Std. td. Error rror Low Lower Bound ound Upper pper Bound ound 3 .5 3 3 3 .4 61 8 8 .2 6 6 6 7 2.3860 4. 6 8 0 7
Minimum n imum 3 .0 0
Maxim Maximum um 3 .8 0
80
3 .8 9 5 0
.7 59 7 3
.0 8 4 9 4
3.7259
4. 0 6 4 1
1 .8 0
5 .0 0
8
4 .0 7 5 0
.3 99 1 1
.1 4 1 1 1
3.7413
4. 4 0 8 7
3 .4 0
4 .8 0
Student
44
3 .8 2 7 3
.8 50 2 7
.1 2 8 1 8
3.5688
4. 0 8 5 8
1 .6 0
5 .0 0
Others
3
4 .0 0 0 0
.0 00 0 0
.0 0 0 0 0
4.0000
4. 0 0 0 0
4 .0 0
4 .0 0
138
3 .8 7 8 3
.7 59 7 3
.0 6 4 6 7
3.7504
4. 0 0 6 1
1 .6 0
5 .0 0
Own Business
Total
Te st of Homogene ity of Variance Variance s Customer_Loyalty Levene Sta tistic 3 .2 3 1
d f1 4
d f2 1 33
Sig . .0 1 4
ANOVA Customer_Loyalty
Between Groups
Sum of Squares .8 4 8
df 4
Mean Square .2 1 2 .5 8 8
Within Groups
7 8 .2 2 7
133
Total
7 9 .0 7 5
137
127
F .360
Sig. .8 3 6
POST HOC TESTS
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128
Multiple Comparisons Comparisons Dependent Variable: Customer_Loyalty Tukey HSD
(I) Race Malay Chinese Indian
Mean Difference (I-J) - .2 1 2 5 0
(J) Race Chinese
95% Confidence Interval Std. Err or or .15427
Sig. .356
Lower Bound - .5 7 8 1
Upper Bound .1 5 3 1
Indian
- .5 6 8 9 5 *
.2 . 22850
.037
-1.1104
- .0 2 7 4
Malay
.2 1 2 5 0
.15427
.356
- .1 5 3 1
.5 7 8 1
Indian
- .3 5 6 4 5
.25357
.341
- .9 5 7 4
.2 4 4 5
Malay
.5 6 8 9 5 *
.22850
.037
.0 2 7 4
1 .1 1 0 4
Chinese
.3 5 6 4 5
.25357
.341
- .2 4 4 5
.9 5 7 4
*. The mean difference is significant at the .05 level.
Customer_Loyalty a,b
Tukey Tu key HSD HSD
Subset for alpha = .05 Race Malay
95
1 3 .7 8 11
Chinese
31
3 .9 9 35
Indian
12
Sig.
N
2 3 .9 9 3 5 4 .3 5 0 0
.5 8 9
.22 9
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size Size = 23 .787. .787 . b. The group sizes are unequal. The harmonic mean of the gro up sizes sizes is used. Type I error levels are not guaranteed.
129
Mu ltiple Comparisons Comparisons Dependent Variable: Customer_Loyalty Customer_Loyalty Tukey HSD
(I) Religion Islam Buddha Hindu
(J) Religion Buddha
Mean Difference ( I-I-J) -.21250
95% Confidence Interval Std. Er ro ror .1 5 4 2 7
Sig. .356
Lower Bound - .5 7 8 1
Upper Bo un und .1531
Hindu
-.56895*
.2 . 22850
.037
-1.1104
-.0274
Islam
.21250
.1 5 4 2 7
.356
- .1 5 3 1
.5781
Hindu
-.35645
.2 5 3 5 7
.341
- .9 5 7 4
.2445
Islam
.56895 *
.2 2 8 5 0
.037
.0 2 7 4
1 .1 1 0 4
Buddha
.35645
.2 5 3 5 7
.341
- .2 4 4 5
.9574
*. The mean difference is significant at the .05 level.
Customer_Loyalty a,b
Tukey HSD Religion Islam Buddha Hindu Sig.
N 95 31 12
Subset for alpha = .05 1 2 3 .7 8 1 1 3 .9 9 3 5 3.9 9 35 4.3 5 00 .5 8 9 .2 2 9
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 23.787. b. The group sizes are unequal. The harmonic mean of the gr oup sizes sizes is used. T ype I error levels are not guaranteed.
130
Multiple Comparisons
Dependent Variable: Customer_Loyalty Tukey HSD
(I) Income (J) Income Below than RM2000 RM2000 till RM3999
Mean Difference (I-J (I-J)) -.16643
Std. Erro rror .13628
Sig. .615
Lowe ower Bound und - .5210
Upper per Boun ound .1881
RM4001 till RM5999
-.08571
.25697
.987
- .7543
.5828
RM6000 and above
-.70571
.54513
.568
-2.1239
.7125
RM2000 till RM3999 Below than RM2000
.16643
.13628
.615
- .1881
.5210
RM4001 till RM5999
.08071
.26096
.990
- .5982
.7596
RM6000 and above
-.53929
.54702
.758
-1.9624
.8838
RM4001 till RM5999 Below than RM2000
.08571
.25697
.987
- .5828
.7543
RM2000 till RM3999
-.08071
.26096
.990
- .7596
.5982
RM6000 and above
-.62000
.58880
.719
-2.1518
.9118
Below than RM2000
.70571
.54513
.568
- .7125
2.1239
RM2000 till RM3999
.53929
.54702
.758
- .8838
1.9624
RM4001 till RM5999
.62000
.58880
.719
- .9118
2.1518
RM6000 and above
95% Confidence Interval
Customer_Loyalty a,b
Tuke y HSD HSD
Subset for alpha = .05 Income Below than RM2000
N 70
1 3.7943
RM4001 till RM5999
10
3.8800
RM2000 till RM3999
56
3.9607
RM6000 RM6000 and above
2
4.5000
Sig.
.354
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.328. b. The group sizes sizes are unequal. The har monic monic mean of the group sizes is used. Type I error levels are not guaranteed.
131
Mu ltiple ltiple Comparisons Dependent Variable: Customer_Loyalty Customer_Loyalty Tukey HSD
(I) Occupation Goverment
Private
(J) Occupation Private
Mean Difference ( II- J) - .3 6 1 6 7
Std . Er r or or .4 5 1 0 1
Sig . .9 3 0
L ow owe r Bo u nd nd - 1 .6 0 9 0
Up pe pe r Bo u nd nd .8 8 5 6
Own Business
- .5 4 1 6 7
.5 1 9 2 1
.8 3 5
- 1 .9 7 7 6
.8 9 4 2
Student
- .2 9 3 9 4
.4 5 7 6 3
.9 6 8
- 1 .5 5 9 5
.9 7 1 7
Others
- .4 6 6 6 7
.6 2 6 1 9
.9 4 5
- 2 .1 9 8 4
1 .2 6 5 1
.3 6 1 6 7
.4 5 1 0 1
.9 3 0
- .8 8 5 6
1 .6 0 9 0
- .1 8 0 0 0
.2 8 4 3 8
.9 6 9
- .9 6 6 5
.6 0 6 5
Goverment Own Business
Own Business
Student
Others
95% Confidence Interval
Student
.0 6 7 7 3
.1 4 3 9 4
.9 9 0
- .3 3 0 4
.4 6 5 8
Others
- .1 0 5 0 0
.4 5 1 0 1
.9 9 9
- 1 .3 5 2 3
1 .1 4 2 3
Goverment
.5 4 1 6 7
.5 1 9 2 1
.8 3 5
- .8 9 4 2
1 .9 7 7 6
.9 6 9
- .6 0 6 5
.9 6 6 5
Private
.1 8 0 0 0
.2 8 4 3 8
Student
.2 4 7 7 3
.2 9 4 7 7
.9 1 7
- .5 6 7 5
1 .0 6 2 9
Others
.0 7 5 0 0
.5 1 9 2 1
1 .0 0 0
- 1 .3 6 0 9
1 .5 1 0 9
Goverment
.2 9 3 9 4
.4 5 7 6 3
.9 6 8
- .9 7 1 7
1 .5 5 9 5
Private
- .0 6 7 7 3
.1 4 3 9 4
.9 9 0
- .4 6 5 8
.3 3 0 4
Own Business
- .2 4 7 7 3
.2 9 4 7 7
.9 1 7
- 1 .0 6 2 9
.5 6 7 5
Others
- .1 7 2 7 3
.4 5 7 6 3
.9 9 6
- 1 .4 3 8 3
1 .0 9 2 9
.4 6 6 6 7
.6 2 6 1 9
.9 4 5
- 1 .2 6 5 1
2 .1 9 8 4
Goverment Private Own Business Student
.1 0 5 0 0
.4 5 1 0 1
.9 9 9
- 1 .1 4 2 3
1 .3 5 2 3
- .0 7 5 0 0
.5 1 9 2 1
1 .0 0 0
- 1 .5 1 0 9
1 .3 6 0 9
.1 7 2 7 3
.4 5 7 6 3
.9 9 6
- 1 .0 9 2 9
1 .4 3 8 3
Customer_Loyalty a,b
Tukey HSD
Subset for alpha = .05 Occupation Goverment
3
1 3 .5 3 3 3
Student
44
3 .8 2 7 3
Private
80
3 .8 9 5 0
Others
3
4 .0 0 0 0
Own Business
8
4 .0 7 5 0
Sig.
N
.735
Means for groups in homogeneous subsets are displayed. a. Uses Harmonic Mean Sample Size = 6.047. b. The group sizes are unequal. The harmonic mean of the group sizes is used. Type I error levels are not guaranteed.
132
T-TEST
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133
Group Statistics Statistics
Gender Customer_Loyalty Male
57
Std. Error Mean Std. Deviation Mean 3 .9333 .7 5530 .1000 4
81
3 .8395
N
Female
.7 6513
.0850 1
Independent Samples Test
Independent Samples Samples Test
Levene's Test for Equality of Variances
F Customer_Loyalty Equal variances assumed Equal variances not assumed
.005
Sig . .9 4 4
t-test for Equality of Means
t
Mean Sig. (2-tailed) Difference
df
Std. Error Differ fferen encce
95% Confidence Interval of the Difference Low Lower
Upper pper
.71 3
1 36
.47 7
.0938 3
.1 3158
-.- .1 6639
.35 404
.71 5
12 1 2 1 .6 6 9
.47 6
.0938 3
.1 3129
- .1 6 6 0 7
.35 373
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