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Construct 2: Challenges in implementing sustainable practices in construction industry (11 items).

Construct 1: Status quo of sustainable practices in the construction industry (14 items).

The questionnaire had the following constructs, all in 5-point Likert scale: For this, the researcher used a 5-point Likert scale survey questionnaire for 150 respondents (employees in the construction sector). The aim of the study is to identify the factors depicting the status of sustainable practices in the construction sector. Topic: Sustainable practices in the construction sector This will help to improve the results with a negative Cronbach’s alpha value. should capture the perception of respondents based on a single scale. Hence, the new sample should have some relationship i.e. The researcher should eliminate the chances of bias and human error to a greater extent by ensuring that the sampled population are appropriate for the study. This should be handled by completely changing the dataset. inefficient sample size or sample profile can also result in a negative Cronbach’s alpha value. Collect a new dataset for improving the Cronbach’s alpha value This will improve the overall reliability or score. By doing this, the researcher can eliminate the items for which the value is negative.

When Cronbach’s alpha value of an overall scale or construct is negative or suboptimal, the first step is to derive the item-wise value. Overall: the combined value of all items in a scale or construct.Item-wise: deriving value for every item in a scale or construct.Eliminate the statements making the construct ineffective.Įliminate statements making construct ineffective for improving Cronbach’s alpha valueĬronbach’s alpha value is derived in two ways:.There are two ways to treat data when the Cronbach’s alpha value is negative (Ursachi et al., 2015): What to do when the Cronbach’s alpha value is negative? incompetence of the collected sample in measuring the respective questionnaire instrument.Hence, there are two reasons why Cronbach’s alpha value is negative:

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).

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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