A comprehensive assessment of measurement equivalence in operations management

Download

index.pdf

Date

2015-01-02

Author

KNOPPEN, Desiree
Akın Ateş, Melek
Brandon-Jones, Alistair
LUZZİNİ, Davide
VAN RAAİJ, Erik
WYNSTRA, Finn

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

198
views

400
downloads

This paper provides a comprehensive framework for treating equivalence both prior to data collection and during subsequent analyses, and assesses the extent to which equivalence is considered in survey research in six leading empirical Operations Management (OM) journals (Decision Sciences, International Journal of Operations & Production Management, International Journal of Production Research, Journal of Operations Management, Management Science and Production and Operations Management). Measurement equivalence of latent variables in survey data is an important condition that should be met in order to meaningfully pool and/or compare data stemming from apparently heterogeneous sub-groups. We assess 465 survey articles from a six-year period from 2006 to 2011 and document these articles in relation to the four main stages of our comprehensive framework: identifying sources of heterogeneity; maximising equivalence prior to data collection; testing measurement equivalence after data collection; and dealing with partial and non-equivalence. We conclude that pooling of data from heterogeneous sub-groups is common practice in OM, but that awareness and testing of equivalence remains limited. Given these findings, we further elaborate the best practices detected in those few OM studies that do address equivalence in some way. We conclude that to improve the quality of OM survey research, authors, editors and reviewers should pay greater attention to equivalence, and we provide a pragmatic checklist of measurement equivalence issues across the four stages.

Subject Keywords

Measurement equivalence, Survey research;, Operations Management (OM)

URI

https://hdl.handle.net/11511/51506

Journal

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

DOI

https://doi.org/10.1080/00207543.2014.944629

Collections

Department of Business Administration, Article

Suggestions

OpenMETU
Core

A survey on OR and mathematical methods applied on gene-environment networks Weber, Gerhard Wilhelm; Kropat, Erik; Öztürk, Başak; Gorgulu, Zafer-Korcan (Springer Science and Business Media LLC, 2009-09-01) In this paper, we survey the recent advances and mathematical foundations of gene-environment networks. We explain their interdisciplinary implications with special regard to human and life sciences as well as financial sciences. Special attention is paid to applications in Operational Research and environmental protection. Originally developed in the context of modeling and prediction of gene-expression patterns, gene-environment networks have proved to provide a conceptual framework for the modeling of dy...
A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem Karasakal, Esra (Elsevier BV, 2017-12-01) In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The de...
New approaches to regression by generalized additive models and continuous optimization for modern applications in finance, science and technology Taylan, P.; Weber, Gerhard Wilhelm; Beck, A. (Informa UK Limited, 2007-10-01) Generalized additive models belong to modern techniques frorn statistical learning, and are applicable in many areas of prediction, e.g. in financial mathamatics, computational biology, medicine, chemistry and environmental protection. In these models, the expectation of response is linked to the predictors via a link function. These models are fitted through local scoring algorithm using it scatterplot smoother as building blocks proposed by Hastie and Tibshirani (1987). In this article, we first give it s...
An application of the minimal spanning tree approach to the cluster stability problem Volkovich, Z.; Barzily, Z.; Weber, Gerhard Wilhelm; Toledano-Kitai, D.; Avros, R. (Springer Science and Business Media LLC, 2012-03-01) Among the areas of data and text mining which are employed today in OR, science, economy and technology, clustering theory serves as a preprocessing step in the data analyzing. An important component of clustering theory is determination of the true number of clusters. This problem has not been satisfactorily solved. In our paper, this problem is addressed by the cluster stability approach. For several possible numbers of clusters, we estimate the stability of the partitions obtained from clustering of samp...
A discussion of the concepts of validity and reliability in qualitative and quantitative Research Sadık, Olgun (2019-06-01) : The purpose of this paper is discussing the main issues in conceptualizing reliability and validity between qualitative and quantitative research approaches. The researcher examined the arguments about validity and reliability in inquiry methodology and identified three main debates primarily in qualitative research. The first one was about qualitative inquirers’ limited emphasis on the data collection process to increase the robustness of their research efforts. Most of the strategies in qualitative rese...

Citation Formats

D. KNOPPEN, M. Akın Ateş, A. Brandon-Jones, D. LUZZİNİ, E. VAN RAAİJ, and F. WYNSTRA, “A comprehensive assessment of measurement equivalence in operations management,” INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, pp. 166–182, 2015, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/51506.