Item Selection for the Development of Short Forms of Scales Using an Ant Colony Optimization Algorithm Export

@article{citeulike:6032080, abstract = {This article presents the use of an ant colony optimization (ACO) algorithm for the development of short forms of scales. An example 22-item short form is developed for the Diabetes-39 scale, a quality-of-life scale for diabetes patients, using a sample of 265 diabetes patients. A simulation study comparing the performance of the ACO algorithm and traditionally used methods of item selection is also presented. It is shown that the ACO algorithm outperforms the largest factor loadings and maximum test information item selection methods. The results demonstrate the capabilities of using ACO for creating short-form scales.}, author = {Leite, Walter L. and Huang, I-Chan and Marcoulides, George A.}, citeulike-article-id = {6032080}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00273170802285743}, doi = {10.1080/00273170802285743}, journal = {Multivariate Behavioral Research}, keywords = {bank, development, form, irt, item, psychometrics, questionnaire, scale, short, test}, number = {3}, pages = {411--431}, posted-at = {2009-10-29 13:31:17}, priority = {2}, publisher = {Psychology Press}, title = {Item Selection for the Development of Short Forms of Scales Using an Ant Colony Optimization Algorithm}, url = {http://dx.doi.org/10.1080/00273170802285743}, volume = {43}, year = {2008} }

TY - JOUR ID - citeulike:6032080 L3 - citeulike-article-id:6032080 N2 - This article presents the use of an ant colony optimization (ACO) algorithm for the development of short forms of scales. An example 22-item short form is developed for the Diabetes-39 scale, a quality-of-life scale for diabetes patients, using a sample of 265 diabetes patients. A simulation study comparing the performance of the ACO algorithm and traditionally used methods of item selection is also presented. It is shown that the ACO algorithm outperforms the largest factor loadings and maximum test information item selection methods. The results demonstrate the capabilities of using ACO for creating short-form scales. IS - 3 JF - Multivariate Behavioral Research EP - 431 TI - Item Selection for the Development of Short Forms of Scales Using an Ant Colony Optimization Algorithm PB - Psychology Press VL - 43 SP - 411 KW - bank KW - development KW - form KW - irt KW - item KW - psychometrics KW - questionnaire KW - scale KW - short KW - test AU - Leite, Walter AU - Huang, I-Chan AU - Marcoulides, George PY - 2008/// UR - http://dx.doi.org/10.1080/00273170802285743 ER -