The study on the component analysis of number series completion test

Autor: Yeh Chia-Huei, 葉嘉惠
Rok vydání: 1998
Druh dokumentu: 學位論文 ; thesis
Popis: 86
The purposes of this study were to decompose the difficulty level of number se ries completion task, and to examine if the constructs for detecting regular n umber series and irregular number series are different. Two studies were condu cted, studyⅠwith the pretest data of the math test in the Youth Intelligence Test, and studyⅡwith the number series completion test developed by the autho r. Both studies focused on the test component analysis and the component param eter estimation that were calculated by using stepwise regression model and th e Linear Logistic Latent Trait Model.The major findings of this study are as f ollows:1. The constructs to solve both regular number series items and irregul ar number series items are of the same dimension.1. In studyⅠ, the major diff iculty accountability of number series completion task comes from three compon ents: if the series is moving or not, period of the series, and if the series is spurious identity or not. These three components significantly and positive ly related to the difficulty level of number series completion task.3. In stud yⅡ, the difficulty accountability of number series completion task comes from four components: if the same figures of the series are adjacent or not, if th e series is regular or not, if the number of the same figures equals to the pe riod of the string or not, and if the series is spurious identity or not. The first three components negatively related to difficulty level of number series completion task, while the last component positively related to the difficult y level of number series completion task.4. In several cases, the interaction term among the components is able to account for the difficulty level of numbe r series completion task.5. More components are needed to increase the account ability of items'' difficulty of number series completion task according to the result, especially when the test size is getting large.6. The result shows th at both stepwise regression and LLTM methods for estimation of component param eter are similar.
Databáze: Networked Digital Library of Theses & Dissertations