Volume 14 Issue 1 2018


Fozia Malik
Ph.D Scholar, Quaid-i-Azam School of Management Sciences Quaid-i-Azam University, Islamabad.

Ajmal Waheed Khan, Ph.D
Professor, Quaid-i-Azam School of Management Sciences Quaid-i-Azam University, Islamabad.

Muhammad Tahir Ali Shah
Allama Iqbal Open University, Islamabad.

Abstract The aim of this paper is the application of the Box-Cox transformation approach for data normalization. It is mostly noticed that in the social science research discipline the data is not normally distributed which can cause various problems for researchers. These problems are related to decisions which statistical tools should apply in case of non-normality of data. A data set using two independent variables; (i) internal resources, (ii) external resources, one mediating variable which is a new product development process, and one dependent variable namely new product success from the manufacturing sector of Pakistan is utilized to analyze normality of data through the Shapiro-Wilk statistics. When it was analyzed that data is not normal then the box-cox transformation approach was employed. It was noticed that applying after box-cox transformation data was normal which can be utilized for further statistical analysis. Therefore, this paper contributes to suggesting statistical techniques, for example, the Box-Cox Transformation approach (Box & Cox, 1964) can be used for normalizing data. Their search scholars can gain insight from this research regarding the procedure of the Box-Cox Transformation approach.
Keywords Box-Cox Transformation approach, Data Normalization, Shapiro-Wilk Test,New Product Development, Manufacturing Sector
Year 2018
Volume 14
Issue 1
Type Short Report
Recognized by Higher Education Commission of Pakistan, HEC
Category "Y"
Journal Name IBT Journal of Business Studies
Publisher Name ILMA University
Jel Classification C01, C10, E23, L60, L69, O14
ISSN no (E, Electronic) 2409-6520
ISSN no (P, Print) 2416-8393
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Type of Review Double Blind Peer Reviewed
Format PDF
Paper Link
Page 110-119
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