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ERIC Number: ED380480
Record Type: Non-Journal
Publication Date: 1994-Oct
Pages: 16
Abstractor: N/A
Reference Count: N/A
Hierarchical Latent Trait Approach in Test Analysis.
Dimitrov, Dimiter M.
An approach is described that reveals the hierarchical test structure (HTS) based on the cognitive demands of the test items, and conducts a linear trait modeling by using the HST elements as item difficulty components. This approach, referred to as the Hierarchical Latent Trait Approach (HLTA), employs an algorithm that allows all test items to be allocated to hierarchically ordered levels and defines the HTS. The HLTA is allied to data from two tests with samples of 47 and 49 undergraduate students in a statistics class. The following steps are followed: (1) determination of the cognitive operations required by the test items; (2) determination of the HTS; (3) linear trait modeling with (L,I,S) cognitive information components; (4) multiple regression analysis for (L,I,S) prediction of the item difficulty; and (5) item clustering. The HLTA provides both quantitative and qualitative information about parameters and relations of main interest in test analysis. Four tables and two figures illustrate the analysis. (Contains 8 references.) (SLD)
Publication Type: Reports - Evaluative; Speeches/Meeting Papers
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A