IRAS

Research Quality Control

Quality is success, so IRAS lay its hands on quality control in order to guarantee the accuracy of research as the following issues
  1. Research project design: by indicating research objectives, research framework, research hypothesis, and research problem using simulation technique
  2. Research tools construction: by referring to operational definitions and testing for research tool quality.
  3. Sample size calculation: by using various sample size calculating techniques to the right target of population and represent the interesting population
  4. Research sample approaching: by using appropriate sampling design techniques
  5. Data collection: by having expert and experienced researchers to well train and control fieldwork teams as well as initial edit data according to IRAS’s standard.
  6. Research network and service: by creating research network nationwide with research knowledge and skill.
  7. Data analysis: by using the right statistic to the level of data measures for accuracy on data analysis.
Research report writing: by interpretation of result from data analysis meaningful and right according to research objectives / research hypothesis