This research Reducing Attrition Rate of RMUTP First-year Undergraduate Students Using the Pre-university Program was done to find out the relationship between the pre-university program and RMUTP attrition rate. In addition to the first objective this study aims to find the satisfaction of students toward the learning program. Using a mixed methodology qualitative and quantitative data were collected from students and subjects related to RMUTP pre-university program. In order to describe the research question those data were analyzed together. The results were as follows: 1. Rajamangala University of Technology Phra Nakhon has offered pre-university program for 3 years. This year there are 13 departments within 5 faculty offered the program. 2. A statistical analysis showed that 71.24 percent of the sample group was highly satisfied with the pre-university program. Twenty-seven percent was moderately satisfied with the pre-university program. Only 1.29 percent was less satisfied with the pre-university program. 3. The pre-university program is necessary and can influence students’ grade points. The sample group also suggested teaching subjects to be matched with the subject study in Semester 1. 4. During the past 4 year drop-out is still at the same number to all faculties regardless of the pre-university program. Therefore the cause of high drop-out number might come from other factors that cannot be cured by the pre-university program.

The forecasting method is important because it can predict phenomena in the future. The accuracy of the forecast depends on the model and the initial conditions. In addition the predictability measurement method is important can be check the accurate of forecasts. In this research is winter monsoon forecasts in Thailand by the shallow water model. The data from The Bjerknes Centre for Climate Research (BCCR) University of Bergen Norway. The global climate model is Bergen Climate Model (BCM) Version 2.0 (BCCR-BCM2.0) of the Intergovernmental Panel on Climate Change (IPCC) is used. The Lyapunov exponent (LE) is the predictability measurement method for verify the efficiency of model and establish the new predictability measurement method by the time series analysis. The result to show that the new predictability measurement method by the time series analysis can be measure the efficiency of the winter monsoon forecasts in Thailand by the shallow water model for December 2015 to December 2056 are suitable.

The purposes of the research were 1) to study the demographic are relationship to image of Suan Sunandha Rajabhat University (SSRU) 2) to study the perceptions of public relations is related to corporate image of SSRU 3) to study the relationship of perceived public relations strategies with the SSRU’s image in all dimensions. This quantitative research collected 400 samples of people in Bangkok chosen through multi-level sampling. Data were collected using a. questionnaire and analyzed using percentage mean standard deviation and MANCOVA The results showed that: 1) Most respondents were female aging between 15 and 26 years old holding senior high school being student having average monthly income unless 5000 Baht and not relationship with SSRU staff 2) Gender differences do not result in the recognition of different image to a statistically significant degree (p< .05) while age education salary and relationship with SSRU staff result in the recognition of different image. 3) The samples are perceived image of the SSRU in total is moderate (xˉ = 3.30). Media above the line in category social media has the most image recognition while media below the line in category personal media has the most image recognition. 4) The relations of media above the line and media below the line were a positive correlation to a statistically significant degree (p< .05).

The study on the analysis of long-term relationship among stock markets from ASEAN trading linkage: After Integration was aimed to investigate its long-term relationships as well as the short-term adjustability to establish balance among the stock markets in Thailand Malaysia and Singapore after the ASEAN unification. The research data were compiled daily from the stock markets in the three countries from 16 October 2012 until 30 December 2014. The analysis was to obtain long-term cointegration using Johansen and short-term adjustable ability to gain balance with Vector Error Correction Model (VECM) The result revealed that ASEAN trading link showed long-term relationships in good balance as well as short-term adjustable ability to gain balance of the models among the three countries. It was found that factors influencing Thailand and Malaysia stock markets were accordingly correlated opposed from Singapore which means that the three countries are well-balanced in the long and short run. It may be concluded that the stock markets in the three countries will demonstrate good integration after the ASEAN Trading Link