Siti Salina Mustakim

Work place: Faculty of Educational Studies, Universiti Putra Malaysia, 43400 Serdang, Selangor, Malaysia

E-mail: mssalina@upm.edu.my

Website: https://orcid.org/0000-0002-6233-1417

Research Interests:

Biography

Siti Salina Mustakim, Siti Salina Mustakim a Senior Lecturer at the Faculty of Educational Studies, Universiti Putra Malaysia. As a Doctoral degree holder in Educational Measurement with 18 years of proven experience in managing teaching, research, books & articles publications, and consultation with industries effectively and efficiently, she is known for her attention to detail and precision. The instantaneous progress of her role in the previous organization she was working from 2004-2017 at the Malaysia Ministry of Education, ensures good time management and prioritizing skills, along with the ability to communicate ideas clearly and concisely.

Author Articles
A Feasibility Study for Developing a Computerized Adaptive Version of Verbal Ability Test for Gulf Student

By Mohammed Al Ajmi Siti Salina Mustakim Samsilah Roslan Rashid Almehrizi

DOI: https://doi.org/10.5815/ijeme.2024.06.04, Pub. Date: 8 Dec. 2024

Employing Computerized Adaptive Testing (CAT) to evaluate verbal ability symptoms proves advantageous over traditional tests by delivering heightened measurement precision and reducing the testing burden. The CAT-Verbal Ability, developed from a large sample of 2689 participants in Gulf countries, underwent meticulous item bank development, ensuring unidimensionality, local independence, and investigating differential item functioning (DIF). The CAT-Verbal Ability item bank has high content validity, is unidimensional, locally independent, and does not have DIF; these outstanding psychometric qualities were confirmed by CAT simulations that were based on real data. With just 14 items needed, CAT simulations showed a high degree of measurement accuracy (r=0.73). In addition to being a psychometrically sound instrument, the proposed CAT-Verbal Ability demonstrated acceptable marginal reliability, criterion-related validity, sensitivity, and specificity. This makes it an efficient assessment method that reduces testing burden while maintaining information integrity, and it also saves time.

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