Factor Analysis of The Characteristics Optometrist in Thailand

Abstract

The objective of this research is 1) to synthesize the characteristics of the optometrist in Thailand    2) to analyze the characteristics of the optometrist in Thailand. Method of research by extracting data from in-depth interviews (In depth Interview) of 17 experts to extract and analyze content in 6 areas, namely operations planning coordination service Information technology and teaching. The population used in this research is the optometrist in Thailand, graduate users or the owners of large glasses shops and users of glasses shops. The sample consisted of spectators in Thailand, users of graduates or owners of large glasses shops and 400 service users in the glasses shop. The research instruments Is a 5-level questionnaire (rating scales). The survey of the characteristics of the optometrist in Thailand has 6 aspects, namely operations, planning coordination, service Information technology and teaching data collection by distributing a total of 400 questionnaires, the researcher distributed the purposive sampling by distributing the sample group which was the optometrist, glasses shop operator and users of glasses shops data analysis Analyze basic data of respondents by frequency distribution and percentage. Factor Analysis by analyzing with statistical analysis program in order to explore and identify the common components that can explain the relationship between observed variables.

The research found that the characteristics of Thailand optometry It is appropriate and can be used to analyze the survey components. The statistical estimates of Chi-Square = 6766.957 and significant = .000 is less than .05. The variables of the 20 variables are related. Which can be used to analyze survey components the characteristics of Thai optometry are 4 components, with the cumulative percentage of variance equal to 74.79%, namely planning and operational elements, create cooperation in collaboration, volunteer service and technological capability. The four components describe the variance of the variable 26.842%, 16.861%, 16.851% and 14.240% respectively.