Title
Assessing essential unidimensionality of real data
Abstract
The capability of DIMTEST in assessing essential
unidimensionality of item responses to real tests
was investigated. DIMTEST found that some test
data fit an essentially unidimensional model and
other data did not. Essentially unidimensional test
data identified by DIMTEST then were combined to
form two-dimensional test data. The power of
Stout’s statistic T was examined for these two-dimensional
data. DIMTEST results on real tests
replicated findings from simulated tests-T discriminated
well between essentially unidimensional
and multidimensional tests. T was also highly sensitive
to major traits and insensitive to relatively
minor traits that influenced item responses. Index
terms: DIMTEST, essential unidimensionality, essential
independence, multidimensionality, unidimensionality.
Identifiers
other: doi:10.1177/014662169301700108
Previously Published Citation
Nandakumar, Ratna. (1993). Assessing essential unidimensionality of real data. Applied Psychological Measurement, 17, 29-38. doi:10.1177/014662169301700108
Suggested Citation
Nandakumar, Ratna.
(1993).
Assessing essential unidimensionality of real data.
Retrieved from the University of Minnesota Digital Conservancy,
https://hdl.handle.net/11299/116305.