True population value though is true but the existence of sampling error in the dataset could result in negative average covariance and hence the derivation of negative alpha value (Ursachi, Horodnic, & Zait, 2015). This negative value is due to the derivation of data from the items representing different scales. It means that there is a negative average covariance among the items. The negative Cronbach’s alpha indicates the existence of negative reliability. Understanding negative Cronbach’s alpha value = scores variance on total measurement.Introduction to Cronbach’s alpha testĬronbach’s alpha value is computed by using the below-stated formula (Ritter, 2010). This article explains how to handle negative Cronbach’s alpha value so that it is turned acceptable. However, sometimes Cronbach’s alpha value is negative, i.e. The ideal Cronbach’s alpha value is at least 0.7 (Taber, 2018). survey questionnaire), Cronbach’s alpha test is applied. To remove the error and establish the reliability of the instrument (i.e. In such cases, chances of error in the survey data can increase. And the primary data is collected through a survey of employees, then a regression test must be applied. For instance, in a study where the aim is to investigate how job stress, job responsibilities, working hours, salary and, working environment impact job satisfaction. Especially if there are many independent variables for a dependent variable. Primary data that is presented in the numeric form, such as survey responses, often requires reliability analysis.
Riya Jain and Priya Chetty on October 6, 2021
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