Abstract
The aims of this paper is to present a framework on the data collected regarding our research study on Effect of BPR factor on organization performance with moderating role of Information technology. A survey method was used to administer 560 questionnaires to Nigerian banks (Commercial, Microfinance and Primary mortgage finance). Data screening and cleaning was conducted to enable satisfy the assumptions of multivariate analysis. Therefore, the assessment of the missing data, outliers, normality, linearity, and multicollinearity were performed. In addition, factor analysis (PCA) was conducted with help of Statistical Package for Social Science (SPSS). The results were found to meet the requirement for multivariate analysis.
Highlights
The quality and meaningful result in multivariate analysis depend on the initial data screening exercise and many researchers tend to overlook it because of work load attached to it (Hair, Black, Babin, & Anderson, 2010)
The data for this study was collected from senior management, executives, managers and head of departments that represent the respective banks in Nigeria
As a result of this efforts, 460 questionnaires responded by the banks were returned out of the 560 questionnaires distributed by hand delivery to the respondent banks in Nigeria
Summary
The quality and meaningful result in multivariate analysis depend on the initial data screening exercise and many researchers tend to overlook it because of work load attached to it (Hair, Black, Babin, & Anderson, 2010). The significance of data cleaning and screening exercise need not be over-emphasized as abandoning this initial stage of data examination would affect the quality output. Having large data proof reading exercise would be difficult and monotonous. In this situation, the need to use computer software such as SPSS is critical. The researcher stand the chance to understand the inter relationship among the variables and meet the assumption of multivariate data analysis. The aim of this paper is to explain the relationship between business process reengineering and organizational performance as well as to present the procedure for conducting the data cleaning and screening, missing values, response bias, outliers, principal component analysis, normality, linearity, multicollinearity, homoscedasticity, correlation and reliability test
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