Research Journal of Economics & Business Studies - RJEBS - The ...

More documents

Recommendations

Info

0.5. So the factor analysis may be considered an approximate technique for analyzing the data. Using verimax rotation, reducing the 11 variables, we have got 4 uncorrelated factors having Eigen value greater than 1 shown in table 2. Table 2: Total Variance Explained Com pone nt Initial Eigenvalues Extraction Sums of Squared Loadings Rotation Sums of Squared Loadings % of % of % of Total Varianc e Cumulativ e % Total Varian ce Cumulativ e % Total Varian ce Cumulativ e % 1 2.496 22.687 22.687 2.496 22.687 22.687 2.339 21.267 21.267 2 1.584 14.399 37.086 1.584 14.399 37.086 1.388 12.622 33.890 3 1.296 11.785 48.871 1.296 11.785 48.871 1.352 12.290 46.180 4 1.014 9.2119 58.089 1.014 9.2119 58.089 1.310 11.910 58.089 5 0.976 8.876 66.966 6 0.815 7.408 74.374 7 0.721 6.551 80.924 8 0.604 5.491 86.416 9 0.562 5.112 91.528 10 0.483 4.387 95.915 11 0.449 4.085 100 From the above Rotated Component Matrix we get the following uncorrelated variables: Table 3: Uncorrelated Factors through Rotated Component Matrix (a) Component 1 2 3 4 Criteria based on brand .803 .042 -.044 -.086 Satisfaction Regarding quality of education .655 -.202 .211 .183 Training -.217 .785 -.177 .279 Language club -.196 .679 .142 -.019 Computer Skill -.543 .622 -.343 .259 Workshop .047 .770 -.189 -.039 Own premises .000 .442 .722 -.154 Campus atmosphere .425 -.102 .654 -.038 Knowledge based scholarship .012 -.387 .386 .716 On campus interview .450 .062 .221 .641 Internship .157 .019 .058 .748 Variable Reputation of University Extracurricular activities Infrastructure development Career management Regression Analysis Table 4: Uncorrelated Factors Factors Identification Criteria based on brand, Satisfaction Regarding quality of education Training, Language club, Computer Skill, Workshop Own premises, Campus atmosphere Knowledge based scholarship, On campus interview, Internship From the factor analysis we get 4 uncorrelated factors, those are - Reputation of University, Extracurricular activities, Infrastructure development, Career management. These factors are selected www.theinternationaljournal.org > RJEBS: Volume: 02, Number: 08, June-2013 Page 36
as the independent variables and preference as the dependent variable for the multiple regression analysis. Table 5: Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 0.830(a) 0.690 0.642 .59752 a Predictors: (Constant), Criteria based on brand, Satisfaction Regarding quality of education , Training, Language club, Computer Skill, Workshop, Own premises, Campus atmosphere, Knowledge based scholarship, On campus interview, Internship Table 6: ANOVA (b) Model Sum of Squares df Mean Square F Sig. 1 Regression 58.84 4 14.71 44.441 .000(a) Residual 32.04 95 0.337 Total 90.88 99 a Predictors: (Constant), Criteria based on brand, Satisfaction Regarding quality of education , Training, Language club, Computer Skill, Workshop, Own premises, Campus atmosphere, Knowledge based scholarship, On campus interview, Internship b Dependent Variable: Human Development Table 7: Coefficients (a) Variables Beta t Sig. Reputation of University .527 15.2341 .000 Extracurricular activities .250 8.364 .000 Infrastructure development .215 5.587 .000 Career management .223 7.652 .000 The results of the regression analysis revealed that all of the control variables had statistically significant effects on the Human Development towards the students’ satisfaction of the universities under his higher study that equivalently correspond to the factor analysis results. Conclusion and Recommendations The study shows that there are eleven important factors that influence the students more towards Human development. With a few notable exceptions, most private universities impart education of uncertain quality, and high tuition fees charged by such institutions make them accessible only to the affluent sections in the society. Public universities, primarily dependent on limited government funding shrinking in real terms, unable to generate additional resources by raising tuition fees due to political constraints, are hardly in a position to improve their quality of education through greater investment in libraries and laboratories. Many democratic provisions of the University Acts not only encroach upon the limited teaching time of the faculty members by engaging them in active politics, but also fail to ensure accountability of the teachers, that contribute to lengthening of session jams, quite often accentuated by unscheduled closures of universities due to violent inter and intra-party clashes of student fronts of major political parties. References [1] Andaleeb, Syed Saad 2003,‘Revitalizing Higher Education in Bangladesh: Insights from alumni and policy prescriptions’, Higher Education Policy (2003) 16,pp. 487–504. [2] Ashraf, Mohammad A. and Ibrahim, Yusnidah ,Joarder, Mohd. H. R. 2009,‘Quality education Management at private universities In Bangladesh: An Exploratory Study’ Jurnal Pendidikdan Pendidikan, Jil. 24, pp. 17–32. www.theinternationaljournal.org > RJEBS: Volume: 02, Number: 08, June-2013 Page 37
Page 2 and 3: Table of Contents Articles STUDY ON
Page 4 and 5: vantage of aligning the sales techn
Page 6 and 7: 4. RESULTS AND DISCUSSION 4.1 DEMOG
Page 8 and 9: level. Young consumers who fall in
Page 10 and 11: 13. Hiu A, Siu N, Wang C, Chang L.
Page 12 and 13: asic information about the MGNREGA.
Page 14 and 15: The MGNREG act rightly pointed out
Page 16 and 17: H.S.C 01 (5.26) 02 (6.45) 01 (6.25)
Page 18 and 19: H.S.C 03 - 02 - 02 - 7 - 07 (4.66)
Page 20 and 21: Blue Ocean Strategy and the dynamic
Page 22 and 23: The market positioning concept was
Page 24 and 25: Figure 1 The Value Innovation Proce
Page 26 and 27: The “dynamic strategy” model is
Page 28 and 29: Importance of technology, innovatio
Page 30 and 31: 4.6 Question: Do you think a consta
Page 32 and 33: introduced. Every innovation; telev
Page 34 and 35: Porter, ME (1980) Competitive Strat
Page 36 and 37: possible alternative techniques, th
Page 40 and 41: [3] Boshoff, C 1997,‘An Experimen
Page 42 and 43: Industry Life Cycle Curve: The Wiz-
Page 44 and 45: Segmenting the Market Geographic: T
Page 46 and 47: The basic objective of WTO were: Tr
Page 48 and 49: the application of intellectual pro
Page 50 and 51: Under The US Endangered Species Act
Page 52 and 53: organization is one continued failu
Page 54 and 55: upwardly through international coor
Page 56 and 57: Public Distribution System and its
Page 58 and 59: Compone nt Tota l Table 2 Service Q
Page 60 and 61: Table 3 Satisfaction of PDS functio
Page 62 and 63: Table 7 Correlation - Adequate Quot
Page 64 and 65: education and across the business s
Page 66 and 67: Fig. 1: Model for Management Educat
Page 68 and 69: forms of competition from those tha
Page 70 and 71: Kohn. A. (1986) No Contest: The Cas
Page 72 and 73: weaknesses in the context of the cu
Page 74 and 75: therefore the investments need a co
Page 76 and 77: developed by NHCC. In fact, the pos
Page 78 and 79: Table 3: The SWOT Matrix for NHCC O
Page 80 and 81: A Comparative Study of Gross NPA of
Page 82 and 83: 3.2 Priority Sector advances Priori
Page 84 and 85: 3.1 Bank-wise NPA in 2009 (Amount i
Page 86 and 87: 3.3 Bank-wise NPA in 2011 (Amount i
Page 88 and 89:
5) Conclusion: The level of NPAs in
Page 90 and 91:
million customers in 118 countries
Page 92 and 93:
The Big Mac concept is very popular
Page 94 and 95:
Indian farmers. "Ask McDonald's abo
Page 96 and 97:
Fig.No.4: Shows the preference towa
Page 98 and 99:
perception towards quality of McDon
Page 100 and 101:
Zone of Tolerence for the Banks: Ex
Page 102 and 103:
Customer Satisfaction Kotler and Ar
Page 104 and 105:
The service quality attributes are
Page 106 and 107:
Ing. Vysya and Karnataka bank, arri
Page 108 and 109:
E20 .891 E21 .876 E22 .395 Extracti
Page 110 and 111:
Brown T J and Churchill, G A and et
show all

Research Journal of Economics & Business Studies - RJEBS - The ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?