Preliminary Data Analysis and Interpretation
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 the
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Preliminary Data Analysis and Interpretation
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.
Introduction This chapter delineates the research findings on the assessment of reliability and validity of the study. For the assessment of reliability and validity, the results are discussed in five parts – sampling results, data screening, reliability and validity of measures, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA). Sampling results provide an insight of the site and subjects of the study – the selection criteria, sampling procedure, response rate, profile of the companies and demographic data of the respondents. Data screening discusses the procedure involved in detecting missing data and outliers. The assessment of reliability covers Cronbach’s alpha, variance extracted measure and construct reliability, while validity assessment concerns content validity, convergent validity and discriminant validity. The results of the exploratory factor analysis are based on the principal component method to identify the minimum number of factors needed, while confirmatory factor analysis relates to the assessment of the validity of the measures. For the SEM analysis, the discussion focused on checking the assumptions on sample size; normality, linearity and homoscedasticity; multicollinearity; correlation
© Springer Science+Business Media Singapore 2016 L.W. Hooi, Organisational Justice and Citizenship Behaviour in Malaysia, Governance and Citizenship in Asia, DOI 10.1007/978-981-10-0030-0_7
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7 Preliminary Data Analysis and Interpretation
analysis; validity and reliability of the measurement models, namely, discriminant validity and convergent validity.
Sampling Results Data Collection Procedures Data for the study was collected from a sample of manufacturing companies listed in the Federation of Malaysian Manufacturers (FMM) Directory. There were 2,571 companies registered with FMM as of 30 July 2010, and o
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