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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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
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
2018-01-16 13:25:48
@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},
  keyword      = {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},
  volume       = {22},
  year         = {2017},
}