马来西亚绿色建筑行业综合管理体系与创新绩效关系研究仪器的研制

N. Z. Zainol, M. S. Jusoh, F. A. Ibrahim, N. Hamidin
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引用次数: 3

摘要

问卷是一种重要的研究工具,由一系列问题组成,目的是收集受访者的信息。大多数心理学研究需要一种有效可靠的工具来调查特定研究的预期变量。最终,这种适合研究的仪器是非常罕见的。因此,有必要为同样的目的开发一种合适且可靠的工具。开发一个测量变量的工具,即集成管理体系和创新绩效,并检验其信度和效度。编制了59个项目的比额表草案,其中包括人口统计部分的14个项目和45个测量项目。工具的内容效度是通过接受每个项目的效度指数在75%到90%之间的范围内的项目来建立的。为了测试该工具的可靠性,我们进行了一项试点研究,将该工具应用于代表30个不同建筑施工组织的30名受访者。该仪器以0.78的指标通过了内容效度测试,不存在显著的表面效度问题。通过Cronbach 's alpha进行统计分析,所有变量均在0.8以上,显示出良好的内部一致性。该仪器具有可接受的特性(即有效和可靠),适用于测量预期变量,即IMS和IP。建议进一步检验构念效度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of instrumentation for a study on relationship between integrated management system and innovation performance in Malaysia Green building industry
A questionnaire is a vital research instrument consisting of a series of questions for the purpose of gathering information from respondents. Most psychological research required an instrument that shall be valid and reliable to investigate that particular study’s intended variables. Eventually, such an instrument that fits the study is very rare. So, a need was felt to develop a suitable and reliable tool for the same purpose. To develop an instrument for measuring variables, i.e., Integrated Management System and Innovation Performance, and to test its reliability and validity. A draft of the 59-item scale was developed, which comprises 14 items in the demographics section and 45 measurement items. The tool’s content validity was established by accepting items that range in between 75% to 90% of the validity index for each item. To test the instrument’s reliability, a pilot study was conducted where the instrument is applied to 30 respondents representing 30 different organisations involved in building construction. The instrument passes the content validity with an index of .78 while it has no significant face validity issues. Statistical analyses showed excellent internal consistency by Cronbach’s alpha which all variables are above 0.8. The instrument has acceptable properties (i.e., valid and reliable) and is suitable for measuring the intended variables, i.e., IMS and IP. It is recommended to be further tested for construct validity.
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