จำนวน Repository ( 286 )
Satisfaction of the Housing Loan Users of The Kasikornbank PCL at MinBuri District in Bangkok Metropolitan
The purpose of this Independent Study (IS) is to study and compare the satisfaction of the housing mortgage users of the Kasikornbank PCL at Minburi District in Bangkok Metropolitanregarding product price promotion distribution places and personnel categorized to gender age status education level income occupation housing mortgage usage in other financial institutionsand the amount of credit line needed. The result from the study indicated that the service users collectively showed high level of satisfaction. It was found that the sample group showed high level of satisfaction to 2 topics i.e. highest in the product and followed by the personnel. When comparing service of users having different gender age status education level income and occupation collectively and perspectively it showed statistically insignificant differences while users of housing mortgage in other different financial institutions and users who need different amount of credit line collectively it showed statistically significant difference in satisfaction of the housing mortgage users of the Kasikornbank PCL at Minburi District in Bangkok Metropolitan at the level of 0.05.
The Estimation of Reliability for Multidimensional Scale Using Different Extractions and Sample Sizes
The purpose of this research was to study and compare the reliability of Allen’s method (ΩW) and McDonald’s method (ωMD) using a NEO Five – Factor Inventory Scale and three different extractions with three different sample sizes. The sample was freshmen of Rajamangala University of Technology in Bangkok area. The results of the research were as the reliability of multidimensional scale from different extractions within the different sample sizes when using ΩW and ωMD were different with statistical significance at the level of .05. The estimation of reliability of multidimensional scale was most appropriate when using 3000 pseudo populations as the representative of large sample. The extraction of generalized least squares or principal factors with ΩW should be used with the sample sizes of 100 and 200 while the extraction of principal factors with ΩW should be used with the sample size of 500.