The objectives of this research were to investigate risk factors for Dengue fever in Thailand and to select an appropriate model. The generalized estimating equation (GEE) whose dependent variable has a Poisson distribution and a negative binomial distribution were studied. The secondary data consisting of the number of Dengue fever patients rainfall average temperature forest area household income were collected. Regions and seasons were also considered. The research found that the GEE whose dependent variable has a negative binomial is more appropriate to be used for Dengue patient data analysis. Central region and the season during Feb-Apr were assigned to be reference groups. Risk factors for Dengue fever were rainfall (Relative Risk (RR) = 1.0009) average temperature (RR = 1.1736) forest area (RR = 1.0482) southern region (RR = 2.7390) eastern region (RR = 2.0489) western region (RR = 1.4051) the season during May-Jul (RR = 3.0526) and Aug-Oct (RR = 3.2677)

The purposes of this research were to study the canonical relationship between some factors and motivation on producing that relative contribute to academic papers and to study the canonical weights of some factory motivation on producing academic papers. The Sample were the 222 instructors in the office Rajamangala University of technology Phra Nakhon who work during the first semester of Academic year 2005. The stratified random sampling technique was used for selecting the sample. The instruments were the questionnaire considering the salary work load working experience Attitudes toward producing academic papers Self development Internal control Academic ability Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers. The findings were as follow: 1. The canonical correlation between Salary Work load Working experience Attitudes toward producing academic papers Self development Internal control Academic ability Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers were .510 .231 and .134 respectively. The first canonical function was Statistically Significant at .05 level. The second and third canonical function were Statistically nonsignificant. 2. The canonical weights for Attitudes toward producing academic papersself development and Internal Control relative contributed to Motivation on advancement Motivation on recognition and Motivation on environment of producing academic papers in the first canonical function.

The objective of this research was to study personal and marketing mix factors affecting decision on choosing an automobile repair service of customers in Bangkok. A close-ended questionnaire was utilized as a research tool for collecting data from 400 car owners in age range of 18 to 60 years old who used to have their cars f ixed at automobile repair garage in Bangkok. Results showed that consumers with different genders had different decisions in choosing automobile repair service at statistically signif icant level of 0.05. However consumers with different ages marital statuses occupations and monthly incomes had no difference on the decision for choosing automobile repair service. Additionally marketing mix factors of product and service people process and physical evidence had signif icant inf luence on customers selection of automobile repair service at the level of 0.05 while the marketing mix factors of price and distribution channels had no signif icant inf luence on customers choosing of automobile repair service. Factors affecting the decision on choosing automobile repair service of customers most was the marketing mix factor of people followed by product and service physical evidence process of service and promotion respectively

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This research aims to study and compare the attitudes of students. Faculty of Home Economics Technology. Are working in garment factories. The sample is used. Students in Division of Fashion Merchandising Technology and Fashion Design and Clothing Textile. The instrument used a questionnaire that was made. Data were analyzed by using the average percentage standard deviation and T-Test.