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ERIC Number: ED204394
Record Type: RIE
Publication Date: 1981-Apr
Pages: 24
Abstractor: N/A
Reference Count: 0
Guessing and Dimensionality: The Search for a Unidimensional Latent Space.
Reckase, Mark D.
The purpose of this paper is to examine the capabilities of various procedures for sorting dichotomously-scored items into unidimensional subjects. The procedures include: factor analysis, nonmetric multidimensional scaling, cluster analysis, and latent trait analysis. Both simulated and real data sets of known structure were used to evaluate the procedures. The analysis of the one-factor data sets with varied levels of guessing showed the detrimental effects guessing could have on these techniques. Application of the procedures to the two- and nine-factor data sets showed that factor analysis and multidimensional scaling have promise. The analysis of the real test data showed that the factor analysis procedure was the only one which could do a reasonably good job of sorting items into unidimensional sets under realistic conditions. (Author/BW)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: Office of Naval Research, Arlington, VA. Personnel and Training Research Programs Office.
Authoring Institution: Missouri Univ., Columbia.
Identifiers: Unidimensionality (Tests)
Note: Paper presented at the Annual Meeting of the American Educational Research Association (65th, Los Angeles, CA, April 13-17, 1981).