Article
Version 3
Preserved in Portico This version is not peer-reviewed
Kabiru’s Value Survey: A New Optimized Method of Values Measurement
Version 1
: Received: 10 January 2019 / Approved: 11 January 2019 / Online: 11 January 2019 (10:21:31 CET)
Version 2 : Received: 13 January 2019 / Approved: 14 January 2019 / Online: 14 January 2019 (12:30:06 CET)
Version 3 : Received: 25 January 2021 / Approved: 26 January 2021 / Online: 26 January 2021 (10:46:51 CET)
Version 2 : Received: 13 January 2019 / Approved: 14 January 2019 / Online: 14 January 2019 (12:30:06 CET)
Version 3 : Received: 25 January 2021 / Approved: 26 January 2021 / Online: 26 January 2021 (10:46:51 CET)
How to cite: Abdullahi, K. B. Kabiru’s Value Survey: A New Optimized Method of Values Measurement. Preprints 2019, 2019010107. https://doi.org/10.20944/preprints201901.0107.v3 Abdullahi, K. B. Kabiru’s Value Survey: A New Optimized Method of Values Measurement. Preprints 2019, 2019010107. https://doi.org/10.20944/preprints201901.0107.v3
Abstract
Qualitative and quantitative values estimation is a crucial aspect of social data science and plays a vital role in social and psychological research. Numerous methods of personal values measurement such as Schwartz Value Survey (SVS) and its re-modified versions have been proposed and invented, but many are challenged with one or more limitations. In this article, an alternative approach in a new paradigm of values measurement called Kabiru’s Value Survey (KVS) was proposed to measure the relative degree of importance or significance attached to particular value-actions of an individual(s) in a given population over a period. The methodological innovations in KVS unlike other existing methods of human value measurement include the use of habitually reported practices associated with a particular value-action in place of judging the series of Schwartz hypothetical statements, the use of multiple dependent variables rather than a single coded hypothetical statement. In terms of data analysis, a new approach of multivariate compression is introduced which merges the chain of multiple dependent variables into one coded scale. Psychometric result interpretation is also another innovative aspect of KVS methodology. Finally, the proposed methodology however solved some of the criticized limitations of the other methods of human value measurement.
Keywords
Values; Actions; Value-actions; Practice frequency; Methodology.
Subject
Social Sciences, Behavior Sciences
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Commenter: Kabir Bindawa Abdullahi
Commenter's Conflict of Interests: Author
1. Grammatical glitches and spelling errors were edited.
2. The title has been changed from "Optimization of Value Measurement Methods" to "Kabiru’s Value Survey: A New Optimized Method of Values Measurement".
3. Some sections and subsections were modified or improved.