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ERIC Number: ED312297
Record Type: Non-Journal
Publication Date: 1989-Nov
Pages: 18
Abstractor: N/A
Reference Count: N/A
Latent Trait Measurement: Do the Results Justify the Effort?
Lawson, Stephen
During the past several decades, a new class of measurement theory, called latent trait (or item response) theory, has become popular. Supporters contend that results obtained through the use of this theory prove vastly superior to classical measurement statistics. This paper investigates the use of the Rasch model, one of the more popular latent trait models, and compares results with those obtained through classical measurement methods. Three data sets consisting of dichotomously scored data from different tests were analyzed. Data Set 1 consisted of responses from 35 subjects across 18 test items. Data Sets 2 and 3 consisted of responses to 35 test items, with 791 and 797 subjects in Data Sets 2 and 3, respectively. These sets of data were used to calculate product-moment correlations between estimates derived from both approaches. Results indicate that Rasch statistics are similar to their classical measurement theory counterparts, suggesting that the more sophisticated model may not always be the preferred model. Three tables present data set information. (Author/SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A