Statistical and judgmental criteria for scale purification
Wieland, Andreas ; Durach, Christian F. ; Kembro, Joakim LU
and Treiblmaier, Horst
(2017)
In Supply Chain Management
22(4).
p.321-328
- Abstract
Purpose: “Scale purification” – the process of eliminating items from multi-item scales – is widespread in empirical research, but studies that critically examine the implications of this process are scarce. The goals of this research are threefold: to discuss the methodological underpinning of scale purification, to critically analyze the current state of scale purification in supply chain management (SCM) research and to provide suggestions for advancing the scale-purification process. Design/methodology/approach: A framework for making scale-purification decisions is developed and used to analyze and critically reflect on the application of scale purification in leading SCM journals. Findings: This research highlights the need for... (More)
Purpose: “Scale purification” – the process of eliminating items from multi-item scales – is widespread in empirical research, but studies that critically examine the implications of this process are scarce. The goals of this research are threefold: to discuss the methodological underpinning of scale purification, to critically analyze the current state of scale purification in supply chain management (SCM) research and to provide suggestions for advancing the scale-purification process. Design/methodology/approach: A framework for making scale-purification decisions is developed and used to analyze and critically reflect on the application of scale purification in leading SCM journals. Findings: This research highlights the need for rigorous scale-purification decisions based on both statistical and judgmental criteria. By applying the proposed framework to the SCM discipline, a lack of methodological rigor and coherence is identified when it comes to current purification practices in empirical SCM research. Suggestions for methodological improvements are provided. Research limitations/implications: The framework and additional suggestions will help to advance the knowledge about scale purification. Originality/value: This paper demonstrates that the justification for scale purification needs to be driven by reliability, validity and parsimony considerations, and that this justification needs to be based on both statistical and judgmental criteria.
(Less)
- author
- Wieland, Andreas
; Durach, Christian F.
; Kembro, Joakim
LU
and Treiblmaier, Horst
- organization
- publishing date
- 2017
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Empirical study, Item elimination, Literature review, Measurement, Parsimony, Reliability, Scale purification, Structural equation model, Surveys, Validity
- in
- Supply Chain Management
- volume
- 22
- issue
- 4
- pages
- 8 pages
- publisher
- Emerald Group Publishing Limited
- external identifiers
-
- scopus:85028307187
- wos:000409065500003
- ISSN
- 1359-8546
- DOI
- 10.1108/SCM-07-2016-0230
- language
- English
- LU publication?
- yes
- id
- f6ab8633-95bb-4212-9cf6-5f342afeed43
- date added to LUP
- 2017-09-15 09:33:16
- date last changed
- 2024-06-09 23:33:06
@article{f6ab8633-95bb-4212-9cf6-5f342afeed43,
abstract = {{<p>Purpose: “Scale purification” – the process of eliminating items from multi-item scales – is widespread in empirical research, but studies that critically examine the implications of this process are scarce. The goals of this research are threefold: to discuss the methodological underpinning of scale purification, to critically analyze the current state of scale purification in supply chain management (SCM) research and to provide suggestions for advancing the scale-purification process. Design/methodology/approach: A framework for making scale-purification decisions is developed and used to analyze and critically reflect on the application of scale purification in leading SCM journals. Findings: This research highlights the need for rigorous scale-purification decisions based on both statistical and judgmental criteria. By applying the proposed framework to the SCM discipline, a lack of methodological rigor and coherence is identified when it comes to current purification practices in empirical SCM research. Suggestions for methodological improvements are provided. Research limitations/implications: The framework and additional suggestions will help to advance the knowledge about scale purification. Originality/value: This paper demonstrates that the justification for scale purification needs to be driven by reliability, validity and parsimony considerations, and that this justification needs to be based on both statistical and judgmental criteria.</p>}},
author = {{Wieland, Andreas and Durach, Christian F. and Kembro, Joakim and Treiblmaier, Horst}},
issn = {{1359-8546}},
keywords = {{Empirical study; Item elimination; Literature review; Measurement; Parsimony; Reliability; Scale purification; Structural equation model; Surveys; Validity}},
language = {{eng}},
number = {{4}},
pages = {{321--328}},
publisher = {{Emerald Group Publishing Limited}},
series = {{Supply Chain Management}},
title = {{Statistical and judgmental criteria for scale purification}},
url = {{http://dx.doi.org/10.1108/SCM-07-2016-0230}},
doi = {{10.1108/SCM-07-2016-0230}},
volume = {{22}},
year = {{2017}},
}