Establishing the Reliability and Validity of Outcomes Assessment Measures Anthony R. Napoli, PhD Lanette A. Raymond, MA Office of Institutional Research & Assessment Suffolk County Community College http://sccaix1.sunysuffolk.edu/Web/ Central/IT/InstResearch/
30
Embed
Establishing the Reliability and Validity of Outcomes Assessment Measures Anthony R. Napoli, PhD Lanette A. Raymond, MA Office of Institutional Research.
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Establishing the Reliability and Validity of Outcomes Assessment Measures
The validity of a measure indicates to what extent items measure some aspect of what they are purported to measure
Types of Validity
Face Validity
Content Validity
Construct Validity
Criterion-Related Validity
Face Validity
It looks like a test of *#%*
Not validity in a technical sense
Content Validity
Incorporates quantitative estimates
Domain Sampling
The simple summing or averaging of dissimilar items is inappropriate
Construct Validity
Indicated by correspondence of scores to other known valid measures of the underlying theoretical trait
Discriminant Validity
Convergent Validity
Criterion-Related Validity
Represents performance in relation to particular tasks of discrete cognitive or behavioral objectives Predictive Validity
Concurrent Validity
Reliability defined
The reliability of a measure indicates the degree to which an instrument consistently measures a particular skill, knowledge base, or construct
Reliability is a precondition for validity
Types of Reliability
Inter-rater (scorer) reliability
Inter-item reliability
Test-retest reliability
Split-half & alternate forms reliability
Validity & Reliability in Plain English
Assessment results must represent the institution, program, or course
Evaluation of the validity and reliability of the assessment instrument and/or rubric will provide the documentation that it does
Content Validity for Subjective Measures
The learning outcomes represent the program/course (domain sampling)
The instrument addresses the learning outcomes
There is a match between the instrument and the rubric
Rubric scores can be applied to the learning outcomes, and indicate the degree of student achievement within the program/course
Inter-Scorer Reliability
Rubric scores can be obtained and applied to the learning outcomes, and indicate the degree of student achievement within the program/course consistentlyconsistently
Content Validity for Objective Measures
The learning outcomes represent the program/course
The items on the instrument address specific learning outcomes
Instrument scores can be applied to the learning outcomes, and indicate the degree of student achievement within the program/course
Inter-Item Reliability
Items that measure the same learning outcomes should consistentlyconsistently exhibit similar scores
Content Validity (CH19)
ObjectiveIII
III
IV
DescriptionWrite and decipher chemical nomenclature
Solve both quantitative and qualitative problems
Balance equations and solve mathematical problems associated w/ balanced equations
Demonstrate an understanding intra-molecular forces
A 12-item test measured students’ mastery of the objectives
In the non-graded condition this measure is neither reliable nor valid
KR-20N-g = 0.29 0.29
0.71
0
0.2
0.4
0.6
0.8
Non-graded Graded
Criterion-Related Concurrent Validity (PC11)
2 3 4 Mean Std n.85*** .79*** .45* 62.4 17.4 46
.95*** .48** 81.4 12.1 46.45* 2.9 0.9 46
CPT-Reading Comprehension test (4) 80.6 18.0 30* p < .05, ** p < .01, p < .0001
Correlation with
Correlations between assessment measure, course outcomes, and reading comprehension scores.
Assessment grade (1)Term Average (2)Course GPA (3)
“I am ill at these numbers.”
-- Hamlet --
“When you can measure what you are speaking about and express it in numbers, you know something about it; but when you cannot express it in numbers, your knowledge is of a meager and unsatisfactory kind.”
-- Lord Kelvin --
“There are three kinds of lies: lies, damned lies, and statistics.” -- Benjamin Disraeli --