*Measurement & Statistics
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Introduction

The purpose of the master and doctoral program in the Graduate Institute of Measurement and Statistics is to provide training and experience to enable graduates to obtain special competence in areas of educational measurement, evaluation and research methodology. The objectives of this program include:
  • Preparing students for positions regarding high quality skills in measurement and assessment and research methodology.
  • Offering training to enable students to develop expertise in constructing reliable and valid assessment instruments in various fields.
  • Helping educational administrators plan innovative workshops or seminars in areas of measurement and assessment.
  • Exploring issues of integrating measurement (and evaluation) and (scientific) technology.
  • Providing professional consultancy in measurement and applied statistics to promote the quality of research design.
  • Hosting regular international seminars to explore the ongoing changes and trends in the fields of measurement and evaluation.

Course Guide

To acquire the MA degree (with thesis), the student must successfully complete at least 32 semester hours of approved study beyond the bachelor's degree. Students study methodological areas such as measurement theory, scaling, and applied test construction, including test development, validation, and application in educational settings. They need to focus on understanding, evaluating, and improving a wide variety of statistical methods used in applied educational research and examine issues in experimental design, regression, and multivariate methods. They conduct studies using analytical, empirical, and computational methods.

During the first year of graduate study, the student and the advisor jointly plan the student's program of studies. The program will include those courses deemed appropriate to the student's interests and vocational objectives. The courses are divided into three fields, including (1) research methodology, (2) measurement theory and application, (3) important issues on measurement and evaluation.

Course Structure

Categories Subject Name Style Credit Hours Semester Note
  Educational Research Methodology compulsory 3 3    
Statistical Methods(II) compulsory 3 3  
Multivariate Analysis compulsory 3 3  
Factor Analysis and Latent Variable Models Elective 3 3  
Design of Experiments Elective 3 3  
Categorical Data Analysis Elective 3 3    
Survey and Sampling Elective 3 3  
Nonparametric Statistical Methods Elective 3 3  
Hierarchical Linear Models Elective 3 3  
Mathematical Statistics compulsory 3 3  
Structural Equation Modeling Elective 3 3  
Regression Analysis Elective 3 3  
Probability Statistics Ⅰ Elective 3 3  
Probability Statistics Ⅱ Elective 3 3  
Others Elective 3 3    
  Measurement Theory compulsory 3 3  
Competency-based Assessment compulsory 3 3  
Introduction to Generalizability Theory Elective 3 3  
Scaling Methods and Theories Elective 3 3  
Item Response Theory Elective 3 3  
Multidimensional Item Response Theory compulsory 3 3  
Computer-based Assessment Elective 3 3  
Test Equating and Linking Elective 3 3  
Professional Writing in Education compulsory 3 3  
Test Bias Elective 3 3  
Cognitive Psychology and Educational Testing compulsory 3 3  
Others Elective 3 3  
  Seminar on Educational Assessment & Statistics(I)、(Ⅱ) compulsory 1 1  
Seminar on Educational Assessment & Statistics(Ⅲ)、(Ⅳ) Elective 1 1  
Seminar on Educational Assessment & Statistics(A)、(B) compulsory 1 1  
Seminar on Educational Assessment & Statistics(C)、(D) Elective 1 1  
Thesis compulsory 0 0  
Dissertation compulsory 0 0  
Cognitive Psychology Elective 3 3  
Assessment of Affective Domain Learning Objectives Elective 3 3  
Performance Assessments Elective 3 2  
Dynamic Assessment Elective 3 3  
The Psychology of Reading Elective 3 3  
The Diagnosis of Reading Difficulties Elective 3 3  
Assessment of Mathematics Learning Difficulty Elective 3 3  
Project-based Learning and Assessment Elective 3 3  
Assessment of Multiple Intelligence Elective 3 3  
Assessment of Learning Progress Elective 3 3  
Issues of Classroom Assessment Elective 3 3  
Issues of Attitude Theory and Measurement Elective 3 3  
Theories & Assessment of Human Intelligence Elective 3 3  
Standard Setting Elective 3 3  
Automated Test Assembly Elective 3 3  
Design of Database in Measurement & Statistics Elective 3 3  
Monte Carlo Study Elective 3 3  
An Introduction to Time series Analysis Elective 3 3  
Others Elective 3 3