Quantitative research synthesis employed statistical methods to synthesize several research papers which were identical in terms of research problems Meta-Analysis in order to discover a standard index that was able to synthesize the aforementioned research papers and to measure the quantifiable effects of manipulated variable on the dependent variable. Regarding this article the author presented and explained Longford’s estimation of effect size which is one of the most efficient and recent estimations. The study proved the background and functional model of the estimator of effect size. In addition the calculation examples following the estimator of Longford’s effect size were demonstrated by meta-analysis.

This research aims to study the using cassava pit wastes mixed with cement to particle board walls. The Portland cement type1: fine sand: tap water ratio is equal to 1: 0.5: 0.416 by weight. The ratios of cassava pit wastes to cement are used following: 0.05 0.06 0.07 0.08 0.09 and 0.10 by weight. The cassava pit wastes are crushed by plastic plastics granulators (pass sieve no.4). The casting of particle board walls use the compression machine in room temperature (30 – 35 degree of Celsius) and control 0.75 g/cm3 of density. The TIS 878-2537 standard (cement bonded particle board: high density) is followed to test the properties of particle board wall. Resulting the cassava pit wastes mixed with cement can cast to particle board walls and have good properties especially the thermal insulation property.

The objective of this research is to use a stochastic process for building a model using Bayesian parameter estimation. The model is applied to the of crash prices and future prices of rice in Thailand for 120 moths including monthly closing average price of white rice 5% non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105. The data are time series data containing autocorrelation trend seasonality and outliers. The algorithms are turned into codes in OpenBugs and the performance of the model is evaluated using simulation in R. The model with a Weibull cumulative distribution function trend the model with an exponential cumulative distribution function trend and the exponential smoothing model are compared. The root mean squared error (RMSE) mean absolute percentage error (MAPE) and mean absolute error (MAE) are used as the criteria. The results show that the model with the model with an exponential cumulative distribution function trend gives smallest RMSE MAPE and MAE for the crash prices of non-glutinous paddy 15% and Hom Mali non-glutinous paddy 105 for both model fitting part and model validation part. The model with a Weibull cumulative distribution function trend gives the smallest RMSE MAPE and MAE for the closing average price of white rice 5% for both model fitting part and model validation part.

This research aims to study the application of coconut meal and corncob fiber as high density cement-bonded fiberboard. The cement: fine sand: coconut meal and corncob fiber: water: cement setting accelerator (aluminium sulphate (Al2(SO4)3) calcium chloride (CaCl2) sodium silicate (Na2SiO3)) ratio is equal to 1: 0.2: 0.05: 0.3: 0.03 by weight. The fibers are taken from coconut meal: corncob that 5 ratios are used following: 0.0500: 0 (CN0) 0.0375: 0.0125 (CN25) 0.0250: 0.0250 (CN50) 0.0125: 0.0375 (CN75) and 0: 0.0500 (CN100) by weight. 12% of Sodium Hydroxide (NaOH) was used to modify the fibers by using 1: 10 of fiber: solution and boiling 100 degree of Celsius (1-3 hours). The fiberboard production use pressure casting in normal temperature (30 – 35 degree of Celsius) and 0.75 g/cm3 of density. Resulting the CN75 ratio is suitable ratio which pass TIS 878-2537 standard (cement bonded particle board: high density) and has good physical properties mechanical properties and thermal insulation. The most suitable cement setting accelerator is calcium chloride (CaCl2).

The purpose of this study was studied the Effects of the Job Preparation Program to Enhance Readiness for Job Application of third year students in Rajamangala University of Technology Phra Nakhon. The sample consisted of 30 third-year students in Rajamangala University of Technology Phra Nakhon second semester academic year 2013 whose scores on the Readiness for Job Application questionnaire were below the 75th percentile and voluntarily participated in the Job Preparation Program . The sample was randomly assigned to form the control and the experimental groups 15 students in each group. The instruments used in this study were: 1. the Job Preparation Program 2. Job Readiness for Job Application questionnaire 3. Student’s opinions towards Job Preparation Program. Statistical techniques used to analyze data were mean standard deviation t-test. The findings revealed that: 1) Scores on Readiness for Job Application questionnaire of the experimental group after the experiment were significantly higher than their scores before the experiment at the 0.05 level. 2) After the experiment scores on Readiness for Job Application questionnaire of the experimental group were significantly higher than those of the control group at the 0.05 level. 3) The experimental group reported that the program facilitated them in understanding their interests career personality skills aptitude job values the world of work techniques and methods for job application. Their knowledge and experiences would assist them in applying for job and further personal development.