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Emotional intelligence (EI) is the ability of an individual to use emotions intelligently for positive outcomes. This ability is said to have an impact on many aspects of our personal and professional lives. Well-being (WB) is a persons state of mind regarding his/her life. Theory suggests that highly emotionally intelligent individuals are likely to experience psychological well-being at a higher level than individuals who are low in emotional intelligence. Based on this concept, this paper examines the empirical relation between EI and WB, both of which are attitudinal variables. A sample of 104 respondents from the manufacturing sector of South India was considered for the study and their emotional intelligence and well-being levels were assessed using appropriate tools. When two attitude-based constructs are obtained from the same respondent, using the same instrument, at the same time, then the relationship between them is said to be influenced by Common Method Variance (CMV). It is the variance that is attributable to the measurement method rather than to the constructs the measures represent and is said to introduce a spurious correlation between the variables of interest. In this study, both EI and WB were obtained from the same respondent, through a single instrument. Hence CMV was considered and acted upon. While controlling the effect of CMV on the empirical relation between EI and WB, this paper aims at the following sub-objectives: To assess the EI and WB levels of the respondents To implement procedural remedies to control CMV To implement statistical remedies to control CMV To prove that EI is a predictor of WB, over and above the effect of CMV. Procedural remedies were used with respect to questionnaire design and statistical remedies were used to partial out the effect of CMV. This paper should serve as a framework for researchers, who wish to evaluate the potential biasing effects of method variance in their research, pertaining to behavioural aspects.

Controlling Common Method Variance while Measuring the Impact of Emotional Intelligence on Well-being