Quality of Four-Tier Diagnostic Test on Wave and Vibration Materials: An Empirical Study Using Rasch Modeling

Author:

Sukarelawan Moh. IrmaORCID,Indratno Toni KusORCID,Oktova Raden,Abdullah Nurul Syafiqah Yap

Abstract

Not all teachers have the ability to develop diagnostic instruments for misconception. Meanwhile, there is an urgent need to diagnose student misconceptions. Therefore, this research aims to carry out the process of adapting misconception-diagnostic instruments to wave and vibration materials. This study used a cross-sectional quantitative survey method. The adaptation process was conducted with 306 state high school students taking wave and vibration classes. Respondents were selected using convenience sampling techniques. 4WADI (Four-tier Wave and vibration Diagnostic Instrument) was translated into Indonesian, consulted with language experts, and assessed by material and evaluation experts to produce an instrument appropriate to the Indonesian cultural context. Before the empirical test was carried out, I-4WADI (Indonesian et al. and vibration Diagnostic Instrument) was tested for readability on 35 students. As a result, the I-4WADI has excellent readability. The validation results of six experts were analyzed using the Aiken V technique. A total of 25 items were used for expert validation. Empirical validation data were analyzed using the Rasch model. Review empirical validation from the aspects of item fit and unidimensionality. The analysis results show that I-4WADI has good quality based on validity and reliability. The infit MnSq values ranged from 0.81 to 1.40, and the outfit MnSq values ranged from 0.71 to 1.36. The instrument reliability value is 0.98. So, I-4WADI can be applied to high school students in Indonesia. These findings have practical implications for teachers who wish to diagnose students' misconceptions about waves and vibration.

Publisher

Universitas Negeri Semarang

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3