印尼语版学生科技成瘾量表的Rasch分析

Dhea Nanda Pratiwi, K. Suranata, Kadek Ari Dwiarwati
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引用次数: 0

摘要

本研究旨在运用Rasch模型分析,对印尼版科技成瘾量表进行校订。在本研究中使用的Rasch模型可以获得更准确的尺度拟合和属性信息。在线调查涉及印尼爪哇东部的30名初中学生。从5个维度初步发展出71个技术成瘾项目。采用WINSTEPS 3.73程序进行Rasch分析,通过检验项目-人拟合测量、alpha Cronbach值、项目-人分离指数、维度、量表反应模式和项目性别偏差来评价印尼版技术成瘾量表的效度和信度。本研究结果表明,71项中有6项不符合拟合标准,必须从量表中删除。从学生对本量表各题的回答模式可以看出,有两名被调查者表示交换了答案,这可以从被调查者的回答模式中看出,只有三句话的回答模式存在差异。在良好标准中,人与项目的信度为0.91,人的信度为0.78,alpha Cronbach为0.82,为中等良好值。DIF分析显示,有五个项目存在性别偏见,需要在新声明中重写。从总共64个项目中,被测量解释的行方差的总和为98.7%,这意味着该量表可用于测量学生的科技成瘾,并且具有良好的预测能力。本研究的结论是印尼版的64项学生科技成瘾量表从Rasch的角度来看是一个很好的测量工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Rasch Analysis of Indonesian Version Technology Addiction Scale for Students
This study aim at calibrating the Indonesian version technology addiction scale by using the Rasch model analysis. The Rasch model used on this study to get more accurate information about the scales fit and properties. The online survey involved 30 students of junior high school in east of Java Indonesia. There were 71 items of technology addiction from five dimension by initial development. Rasch analysis preform by WINSTEPS 3.73 program to evaluate the validity and reliability of the Indonesian version of technology addictive scale by exanimating the item-person fit measure, alpha Cronbach value, items-person separations index, dimensionality, the response pattern in scalogram, and items biases by gender. The results of this study show that’s there was 6 from 71 items that do not meet on the fit criteria and must be eliminated from the scale. The pattern of students’ response of every item this scale show that’s there were two respondents who indicated exchanging answers, this can be seen from the pattern of respondents' answers which only had differences in the pattern of answers in only three statements. The reliability of person and items in good criteria, 0.91 for item and 0,78 for person, and alpha Cronbach 0,82 is moderate good value. The DIF analysis show that’s there were five items gender biases and need to rewrite by the new statement. From total 64 items, the total value of the row variance explain by measure is 98.7%, it means this scale able and with good prediction to measure the technology addiction of the students. The conclusion of the study is about the 64 items of Indonesian version technology addiction scale for student is meet criteria to be a good measurement tool from the Rasch perfective.
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