Rasch Modeling for Quantitative Research


In the field of Measurement, Evaluation and Statistical Analysis, the importance of a valid and reliable instrument is unquestionable. Prior to any data collection activities and valid research data analysis, a good quality of instrument is a very important factor need to be given a very serious consideration. A faulty instrument will render the data useless and the data analysis is therefore null and void. However, many academician and researchers are frustrated when existing instruments are not well tailored to the task, since they then cannot expect sensitive, accurate, or valid findings. This workshop introduce to Rasch model measurement  that can provide fulfill question about reliability and validity of the instrument. Rasch Analysis provides social science with the kind of measurement that characterizes measurement in the natural sciences. Since Rasch measurement model focuses on the items and the persons rather than test score, the synthesis of both using the principle of    conjoint measurement; quantitative analysis with qualitative issues is now   experienced in a way that is rare in social science. Ultimately, Rasch Model can   facilitate more efficient, reliable, and valid assessment while improving convenience to users in   interpreting their research findings. The workshop is useful for anyone who wants to understand the role of modern measurement not limited to education or competency but many other related research of measurement.



  • The Fundamentals of Measurement
  • Introduction to Rasch Measurement Model
  • Why and how Rasch seeks to create linear, interval measures
  • How to run Ministep software analyses for dichotomous data (cognitive test) and politomous data (non-cognitive test)
  • Interpretation of Rasch Analysis output: validity and reliability issues

Location: Date: August 26, 2019 Time: 8:00 am - 5:00 pm Bambang Sumintono, Ph.D.