Evaluating a Procedure for Investigating the Multidimensional Parallelism of Standardized Tests

Because of the numerous composites of abilities that could account for the variability in item responses attributing to the item clustering, post hoc analyses were conducted using a subset of items hypothesized to have approximate simple structure. The MIRT clustering procedure used in evaluating the complete test form information was compared with the item cluster groupings identified using a conditional covariance clustering procedure (DETECT, Kim, 1994; Zhang & Stout, 1996). The results indicated that the conditional covariance clustering procedure, in combination with the genetic algorithm used for identifying the optimal number of statistically distinct dimensions, was more effective in replicating the hypothesized dimensional structure of the subset of items.

Name thesis:degree_name

Ph.D.

Level thesis:degree_level

Dissertation

Discipline thesis:degree_discipline

Education

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2015

Author dc:creator

• Turner, Ronna Coldiron

Contributors dc:contributor

• Ackerman, Terry A.

• Psychology, Psychometrics

Language dc:language

eng

Identifier

(MiAaPQ)AAI9971209

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/80415