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Organisational Justice and Citizenship Behaviour in Malaysia pp 153–177Cite as

Preliminary Data Analysis and Interpretation

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Part of the book series: Governance and Citizenship in Asia ((GOCIA))

Abstract

This chapter provides the preliminary data analysis and interpretation of the findings. First, the chapter outlines the sampling results covering data collection procedures, demographic data of the companies and demographic data of the respondents. It then proceeds with screening the data to detect errors, missing data and outliers. Next, the discussion focuses on refining of measures to assess the reliability and validity of the scales. The analysis involves Cronbach’s alpha, variance extracted measure and construct reliability to confirm the reliability of the scales. To test the goodness of measures, the study draws on content validity, convergent validity and discriminant validity. Then, results of the exploratory and confirmatory factor analysis are discussed. This is followed by the assessment of conformity with structural equation modelling (SEM) assumptions to check if the data satisfied the assumptions of sample size; normality, linearity and homoscedasticity; and multicollinearity. Finally, the chapter delineates the assessment of the measurement model to establish convergent and discriminant validity.

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Authors and Affiliations

  1. The University of Nottingham, Nottingham University Business School, Semenyih, Selangor Darul Ehsan, Malaysia

    Hooi Lai Wan

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  1. Hooi Lai Wan
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© 2016 Springer Science+Business Media Singapore

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Wan, H.L. (2016). Preliminary Data Analysis and Interpretation. In: Organisational Justice and Citizenship Behaviour in Malaysia. Governance and Citizenship in Asia. Springer, Singapore. https://doi.org/10.1007/978-981-10-0030-0_7

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