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The Problem of Measurement Model Misspecification in Behavioral and Organizational Research and Some Recommended Solutions.
Abstract
The purpose of this study was to review the distinction between formative- and reflective-indicator measurement models, articulate a set of criteria for deciding whether measures are formative or reflective, illustrate some commonly researched constructs that have formative indicators, empirically test the effects of measurement model misspecification using a Monte Carlo simulation, and recommend new scale development procedures for latent constructs with formative indicators. Results of the Monte Carlo simulation indicated that measurement model misspecification can inflate unstandardized structural parameter estimates by as much as 400% or deflate them by as much as 80% and lead to Type I or Type II errors of inference, depending on whether the exogenous or the endogenous latent construct is misspecified. Implications of this research are discussed.
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Citations
Cites
Evaluating Structural Equation Models with Unobservable Variables and Measurement Error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.2307/3151312 · Cited by 109,314
Evaluating structural equation models with unobservable variables and measurement error
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800104 · Cited by 109,190
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
The job demands-resources model of burnout.
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.3.499 · Cited by 13,643
Hu, L.-T., & Bentler, P. M. (1998) · Psychological Methods · doi:10.1037/1082-989x.3.4.424 · Cited by 12,298
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618
Moorman, R. H. (1991) · Journal of Applied Psychology · doi:10.1037//0021-9010.76.6.845 · Cited by 3,422
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Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013) · Long Range Planning · doi:10.1016/j.lrp.2013.01.001 · Cited by 5,310
Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009) · MIS Quarterly · doi:10.2307/20650284 · Cited by 4,944
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011) · MIS Quarterly · doi:10.2307/23044045 · Cited by 3,165
Self-citationCross-Sectional versus longitudinal survey research: concepts, findings, and guidelines
Rindfleisch, A., Malter, A. J., Ganesan, S., & Moorman, C. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.3.261 · Cited by 1,305
Hulland, J., Baumgartner, H., & Smith, K. M. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-017-0532-y · Cited by 1,067
Judge, T. A., & Zapata, C. P. (2015) · Academy of Management Journal · doi:10.5465/amj.2010.0837 · Cited by 738
Kim, S., Vandenabeele, W., Wright, B. E., Andersen, L. B., Cerase, F. P., Christensen, R. K., Desmarais, C., Koumenta, M., Leisink, P., Liu, B., et al. (2013) · Journal of Public Administration Research and Theory · doi:10.1093/jopart/mus027 · Cited by 587
Liu, Y., Li, H., & Hu, F. (2013) · Decision Support Systems · doi:10.1016/j.dss.2013.04.001 · Cited by 541
The Fallacy of Formative Measurement
Edwards, J. R. (2011) · Organizational Research Methods · doi:10.1177/1094428110378369 · Cited by 495
Day, A., Paquet, S., Scott, N., & Hambley, L. (2012) · Journal of Occupational Health Psychology · doi:10.1037/a0029837 · Cited by 436
Willaby, H. W., Costa, D. S. J., Burns, B. D., MacCann, C., & Roberts, R. D. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2014.09.008 · Cited by 419
Wang, W.-T., Wang, Y.-S., & Liu, E.-R. (2016) · Information & Management · doi:10.1016/j.im.2016.01.006 · Cited by 375
Service value revisited: Specifying a higher-order, formative measure
Ruiz, D. M., Gremler, D. D., Washburn, J. H., & Carrión, G. C. (2008) · Journal of Business Research · doi:10.1016/j.jbusres.2008.01.015 · Cited by 361
(2009) · Cited by 355
E-Service Quality: Development of a Hierarchical Model
Blut, M. (2016) · Journal of Retailing · doi:10.1016/j.jretai.2016.09.002 · Cited by 328
Measuring customer experience in physical retail environments
Bustamante, J. C., & Rubio, N. (2017) · Journal of Service Management · doi:10.1108/josm-06-2016-0142 · Cited by 306
Capitalizing on one's advantages: Role of core self-evaluations.
Judge, T. A., & Hurst, C. (2007) · Journal of Applied Psychology · doi:10.1037/0021-9010.92.5.1212 · Cited by 288
Marketing research using single-item indicators in structural equation models
Petrescu, M. (2013) · Journal of Marketing Analytics · doi:10.1057/jma.2013.7 · Cited by 279
University departments and self-employment intentions of business students: a cross-level analysis
Walter, S. G., Parboteeah, K. P., & Walter, A. (2013) · Entrepreneurship Theory and Practice · doi:10.1111/j.1540-6520.2011.00460.x · Cited by 245
Aguinis, H., Ramani, R. S., & Alabduljader, N. (2023) · Organizational Research Methods · doi:10.1177/1094428120943281 · Cited by 222
The role of transformational leadership in enhancing team reflexivity
Schippers, M. C., Den Hartog, D. N., Koopman, P. L., & van Knippenberg, D. (2008) · Human Relations · doi:10.1177/0018726708096639 · Cited by 215
The joint moderating role of trust propensity and gender on consumers’ online shopping behavior.
Chen, Y., Yan, X., Fan, W., & Gordon, M. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2014.10.020 · Cited by 200
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Weisburd, D., Telep, C. W., Vovak, H., Zastrow, T., Braga, A. A., & Turchan, B. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2118780119 · Cited by 153
“In contrast to reflective indices, which combine similar variables of the same construct (and are usually assessed for consistency using Cronbach’s α), formative indices bring together distinct items reflecting different elements of a single construct (27, 28).”
BackgroundMeyer, R. D., Dalal, R. S., & Bonaccio, S. (2009) · Journal of Organizational Behavior · doi:10.1002/job.602 · Cited by 145
Haneem, F., Kama, N., Taskin, N., Pauleen, D., & Abu Bakar, N. A. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.10.007 · Cited by 121
Measuring executive function in early childhood: A case for formative measurement.
Willoughby, M. T., The Family Life Project Investigators, & Blair, C. B. (2016) · Psychological Assessment · doi:10.1037/pas0000152 · Cited by 120
Multi-dimensional analysis of perceived switching costs
Barroso, C., & Picón, A. (2012) · Industrial Marketing Management · doi:10.1016/j.indmarman.2011.06.020 · Cited by 122
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Sluyts, K., Matthyssens, P., Martens, R., & Streukens, S. (2011) · Industrial Marketing Management · doi:10.1016/j.indmarman.2011.06.022 · Cited by 120
Determinants of mHealth success: An empirical investigation of the user perspective
Birkmeyer, S., Wirtz, B. W., & Langer, P. F. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2021.102351 · Cited by 115
The SMART model of work design: A higher order structure to help see the wood from the trees
Parker, S. K., & Knight, C. (2024) · Human Resource Management · doi:10.1002/hrm.22200 · Cited by 108
More Statistical and Methodological Myths and Urban Legends
Lance, C. E. (2011) · Organizational Research Methods · doi:10.1177/1094428110391814 · Cited by 88
Light exposure behaviors predict mood, memory and sleep quality
Siraji, M. A., Spitschan, M., Kalavally, V., & Haque, S. (2023) · Scientific Reports · doi:10.1038/s41598-023-39636-y · Cited by 69
(2013) · Nihon Keiei Gakkaishi · doi:10.12691/jbms-1-5-2 · Cited by 50
Cheng, Z., Fan, W., Shao, B., Jia, W., & Zhang, Y. (2024) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2023.103585 · Cited by 45
Grenier Ouimet, A., Wagner, G., Raymond, L., & Pare, G. (2020) · Journal of Medical Internet Research · doi:10.2196/22081 · Cited by 34
The relationship between transformational leadership and effort-reward imbalance
Weiß, E.-E., & Süß, S. (2016) · Leadership & Organization Development Journal · doi:10.1108/lodj-08-2014-0146 · Cited by 33
Specifying Formative Constructs in Information Systems Research1
Petter, S., Straub, D., & Rai, A. (2007) · MIS Quarterly · doi:10.2307/25148814 · Cited by 32
G., R., & Asokan-Ajitha, A. (2021) · Journal of Indian Business Research · doi:10.1108/jibr-04-2018-0132 · Cited by 30
Wagner, G., Raymond, L., & Paré, G. (2023) · JMIR Medical Education · doi:10.2196/45631 · Cited by 27
Crossing the seven Cs of internal consistency: Assessing the reliability of formative instruments
Gruijters, S. L. K., Fleuren, B. P. I., & Peters, G. J. (2021) · doi:10.31234/osf.io/qar39 · Cited by 17
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Haran, V. V., & Niederman, F. (2022) · Journal of Global Information Management · doi:10.4018/jgim.299320 · Cited by 5
Metadata
- Authors
- MacKenzie, S. B., Podsakoff, P. M., & Jarvis, C. B.
- Venue
- Journal of Applied Psychology
- Published
- 2005-07
- Volume
- 90
- Issue
- 4
- Pages
- 710-730
- ISSN
- 0021-9010 (ISSN-L)
- 1939-1854
- OpenAlex
- W1988897250
- Cited by
- 1,669
- References
- 11
- FWCI
- 39.76
- Type
- journal article
- Language
- en
- Open access
- closed
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