Estimating Measurement Error and Score Dependability in Examinations Using Generalizability Theory

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– Estimating Measurement Error and Score Dependability in Examinations Using Generalizability Theory –

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Abstract

This study investigated the estimation of measurement error and score dependability in examinations using Generalizability Theory.

The fact that the scores obtained by the students (object of measurements) in examinations were affected by multiple sources of error (facets) and these scores, were used in taking relative and absolute decisions about the students, there was the need to estimate measurement error and dependability of the scores.

This was to find the extent of the contributions of these sources of error (facets) in examination scores. Four research questions and two hypotheses were posed to guide the study.

Introduction

Measurement pervades almost every aspect of modern society. Nworgu (2003) looked at measurement as the process of assigning numerical values to describe features or characteristics of objects, persons, or events in a systematic manner.

Measurement involves assigning figures, numerical quantities, or scores to variables or traits of interest.

For example, a great variety of things about individuals (achievement, aptitude, intelligence, height, weight) are measured by various people like teachers, doctors, etc, on a regular basis.

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