z-logo
open-access-imgOpen Access
About Statistical Analysis of Qualitative Survey Data
Author(s) -
Stefan Loehnert
Publication year - 2010
Publication title -
international journal of quality statistics and reliability
Language(s) - English
Resource type - Journals
eISSN - 1687-7152
pISSN - 1687-7144
DOI - 10.1155/2010/849043
Subject(s) - computer science , reliability (semiconductor) , ordinal data , ordinal scale , data mining , usable , construct (python library) , level of measurement , transformation (genetics) , statistics , mathematics , machine learning , quantum mechanics , world wide web , gene , programming language , power (physics) , physics , biochemistry , chemistry
Gathered data is frequently not in a numerical form allowing immediate appliance of the quantitative mathematical-statistical methods. In this paper are some basic aspects examining how quantitative-based statistical methodology can be utilized in the analysis of qualitative data sets. The transformation of qualitative data into numeric values is considered as the entrance point to quantitative analysis. Concurrently related publications and impacts of scale transformations are discussed. Subsequently, it is shown how correlation coefficients are usable in conjunction with data aggregation constrains to construct relationship modelling matrices. For illustration, a case study is referenced at which ordinal type ordered qualitative survey answers are allocated to process defining procedures as aggregation levels. Finally options about measuring the adherence of the gathered empirical data to such kind of derived aggregation models are introduced and a statistically based reliability check approach to evaluate the reliability of the chosen model specification is outlined

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom