This research was a survey research. The objective was to study the factors of social adjustment of students of the Faculty of the Industrial Education Rajamangala University of Technology Phra Nakhon. The data analysis based on statistic data the average percentage standard deviation t-test and analysis of variance. The results can be summarized as follows: the factors of social adjustment of Industrial Education students are at the moderate level. The results of factor analysis are 1) Students with different genders and age have the overall indifferent social adjustment ability. 2) Students who graduated from different field of study have the overall different social adjustment ability . The students who graduated from vocational certificate program have the overall higher social adjustment ability than students who graduated from general education program. 3) Students with different years of birth and different family status in society have the overall indifferent social adjustment ability. 4) Students with their parents in different occupation and different average-income-per-month families have the indifferent overall social adjustment ability and 5) Students with different family characteristics have the overall different social adjustment ability.

This research aims to study the marketing mix factors that influence consumers’ purchasing decisions and to compare the marketing mix factors that influence purchasing decisions of consumers in the Seacon Square shopping mall. It was found that the marketing mix factors that influence the buying decisions of customers in the Seacon Square shopping mall were at the high level in every criteria. The product factor was at the highest level. The following are the distribution channel promotion marketing and pricing respectively. A comparative study of the marketing mix factors that influence consumers’ purchasing decisions by the nature of personal information showed that customers having different age and status had different marketing mix factors in the purchasing decision statistically at the 0.05 level.But the customers with different gender educational level occupation and average revenue per month had indifferent factors that affect the marketing mix decisions statistically at 0.05.