Skip to main content

Intro Meas Theory & Technqs

Instructor:
Michael Ray Peabody
679
Credits:
3.0
001
Building:
Dickey Hall
Room:
Rm.353
Semester:
Fall 2022
Start Date:
End Date:
Name:
Intro Meas Theory & Technqs
Requisites:

Prereq: EPE 621 or its equivalent.

Class Type:
LEC
4:00 pm
6:30 pm
Days:
R

This is a measurement-oriented course that focuses on introducing measurement theory and techniques used in education and evaluation. Topics to be covered include, but are not limited to, measurement models, bivariate measures of association, norms, standardized score scales, scaling, reliability, validity, item analysis, factor analysis, confirmatory factor analysis, test construction for affective and cognitive instruments, Item Response Theory, and Rasch. The course aims to familiarize students with measurement terminology, possess a detailed strategy for constructing an instrument suitable for research purposes, become familiar with statistical procedures and software for implementing measurement techniques, gain requisite foundation of knowledge necessary to learn more complex measurement models, and become more critical of measurement presentations in academic journals and the mass media.

This is a measurement-oriented course that focuses on introducing measurement theory and techniques used in education and evaluation. Topics to be covered include, but are not limited to, measurement models, bivariate measures of association, norms, standardized score scales, scaling, reliability, validity, item analysis, factor analysis, confirmatory factor analysis, test construction for affective and cognitive instruments, Item Response Theory, and Rasch. The course aims to familiarize students with measurement terminology, possess a detailed strategy for constructing an instrument suitable for research purposes, become familiar with statistical procedures and software for implementing measurement techniques, gain requisite foundation of knowledge necessary to learn more complex measurement models, and become more critical of measurement presentations in academic journals and the mass media.

EPE