Abstract

This paper is a preliminary study on rationalising green office building investments in Malaysia. The aim of this paper is attempt to introduce the application of Rasch measurement model analysis to determine the validity and reliability of each construct in the questionnaire. In achieving this objective, a questionnaire survey was developed consists of 6 sections and a total of 106 responses were received from various investors who own and lease office buildings in Kuala Lumpur. The Rasch Measurement analysis is used to measure the quality control of item constructs in the instrument by measuring the specific objectivity within the same dimension, to reduce ambiguous measures, and a realistic estimation of precision and implicit quality. The Rasch analysis consists of the summary statistics, item unidimensionality and item measures. A result shows the items and respondent (person) reliability is at 0.91 and 0.95 respectively.

Highlights

  • Many studies have highlighted the benefits of going green, in line with the global campaign to support a sustainable development approach

  • This method has been more successful in envisioning and identifying investors that are highly interested in green office building investment, and the responses that were perceived as easy items, where respondents had opinions in common, if they invested in green office buildings

  • It was crucial to determine whether or not the constructs in the instrument were measuring the specific objectivity within the same dimension

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Summary

Introduction

Many studies have highlighted the benefits of going green, in line with the global campaign to support a sustainable development approach. This study used the Rasch measurement model theorem to determine the credibility of the data and to further elaborate the Cronbach’s alpha for data reliability and validity This method has been more successful in envisioning and identifying investors that are highly interested in green office building investment, and the responses that were perceived as easy items, where respondents had opinions in common, if they invested in green office buildings. The purpose of the Rasch measurement model is to produce a linear measure, to overcome missing data, to give an estimate of the precision and quality of the construct of the instrument, and to detect misfits or outliers This is achieved by considering three parameters: point measure correlation 0.32

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