PSGE 6702: Fundamentals of Educational and Psychological Measurement
Introduction
Measurement Scales
Reliability
Validity
Item Analysis
Classical Test Theory
Item Response Theory
Standardized Tests
Performance Assessments
Computer-Based Testing
Ethical Issues in Testing
Conclusion
FAQs
PSGE 6702 is a course that provides students with a comprehensive understanding of the fundamentals of educational and psychological measurement. In this article, we will discuss the key concepts and principles in measurement, including measurement scales, reliability, validity, item analysis, classical test theory, item response theory, standardized tests, performance assessments, computer-based testing, and ethical issues in testing.
Measurement scales are used to categorize and organize data. There are four types of measurement scales: nominal, ordinal, interval, and ratio. Nominal scales are used to classify data into categories, whereas ordinal scales are used to rank data. Interval scales measure the distance between data points, and ratio scales have a true zero point.
Reliability refers to the consistency and stability of a measure. There are different types of reliability, such as test-retest reliability and internal consistency reliability. Estimating reliability can be done through various methods, such as split-half reliability and inter-rater reliability. Ways to increase reliability include using clear and unambiguous instructions and increasing the number of items on the test.
Validity refers to the accuracy and meaningfulness of a measure. There are different types of validity, such as content validity and construct validity. Establishing validity can be done through various methods, such as face validity and criterion-related validity. Threats to validity include social desirability bias and testing effects.
Item analysis is the process of evaluating individual items on a test. The objectives of item analysis are to determine the difficulty and discrimination of items. There are different types of item analysis, such as item difficulty index and item discrimination index. Methods of item analysis include the point-biserial correlation and the item-total correlation.