Regularisation and reliability assessment of data in survey analysis
by Amin Hosseininasab
International Journal of Data Analysis Techniques and Strategies (IJDATS), Vol. 7, No. 3, 2015

Abstract: Surveys are considered a powerful tool in business strategy planning and decision making and in many cases provide essential data for managers in different circumstances. However, while it is evident that each respondent presents a difference in evaluating and rating questions, their psychological differences are rarely assessed and data is generally considered of the same value and reliability. This paper proposes the use of predefined questions to evaluate the differences of value in the answers provided by the respondents. The information is then employed to regularise the data accordingly and reduce the distance of the provided answers to that of the respondent's actual thoughts. The respondents' understanding and effort towards the survey are also evaluated in the form of assessing the reliability of the provided answers, which offer beneficial information for the analyst. The proposed method is implemented and demonstrated through a real case study. An increase in data quality and reliability was achieved, as well as aiding information in future analysis processes.

Online publication date: Fri, 21-Aug-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Data Analysis Techniques and Strategies (IJDATS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email