Year: 2015
Type: article
Abstract: Based on a classical true score theory (classical test theory, CTT) equation, indicating that as the observed correlation between two tests increases, the reliability of the difference scores decreases, researchers have concluded that difference scores are unreliable. But CTT shows that the reliabilities of the two tests and the true correlation between them influence the observed correlation and previous analyses have not taken the true correlation sufficiently into account. In turn, the reliability of difference scores depends on the interaction of the reliabilities of the individual tests and their true correlation when the variances of the tests are equal, and on a more complicated interaction between them and the deviation ratio when the variances of the tests are not equal. The upshot is that difference scores likely are more reliable, on more occasions, than researchers have realized. I show how researchers can predict what the reliability of the difference scores is likely to be, to aid in deciding whether to carry through one’s planned use of difference scores.
Source: Cogent Mathematics
Author: David Trafimow
Institution: New Mexico State University
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: hybrid
Estimated APC paid: $1,165
OpenAlex ID: W2159169953