Omission of Causal Indicators: Consequences and Implications for Measurement – A Rejoinder

References

• Aguirre-Urreta, M. I., Rönkkö, M., & Marakas, G. M. (2016). Omission of causal indicators: Consequences and implications for measurement. Measurement: Interdisciplinary Research and Perspectives, 14(3), 75–97.
   Google Scholar
• Bainter, S. A., & Bollen, K. A. (2015). Moving forward in the debate on causal indicators: Rejoinder to comments. Measurement: Interdisciplinary Research and Perspectives, 13(1), 63–74. doi:10.1080/15366367.2015.1016349
   Web of Science ®Google Scholar
• Bentler, P. (2016). Causal indicators can help to interpret factors. Measurement: Interdisciplinary Research and Perspectives, 14(3), 98–100.
   Google Scholar
• Bollen, K. A. (1989). Structural equations with latent variables. New York, NY: John Wiley & Son.
   Google Scholar
• Bollen, K. A., & Arminger, G. (1991). Observational residuals in factor analysis and structural equation models. Sociological Methodology, 21, 235–262. doi:10.2307/270937
   Web of Science ®Google Scholar
• Bollen, K. A., & Bauldry, S. (2011). Three Cs in measurement models: Causal indicators, composite indicators, and covariates. Psychological Methods, 16(3), 265–284. doi:10.1037/a0024448
   PubMed Web of Science ®Google Scholar
• Bollen, K. A., & Diamantopoulos, A. (2015). In defense of causal–formative indicators: A minority report. Psychological Methods. doi:10.1037/met0000056
   PubMed Web of Science ®Google Scholar
• Bollen, K. A., & Lennox, R. (1991). Conventional wisdom on measurement: A structural equation perspective. Psychological Bulletin, 110(2), 305–314. doi:10.1037/0033-2909.110.2.305
   Web of Science ®Google Scholar
• Cadogan, J., & Lee, N. (2016). Distinguishing valid from invalid causal indicator models. Measurement: Interdisciplinary Research and Perspectives, 14(4), 162–166.
   Google Scholar
• Edwards, J. R. (2011). The fallacy of formative measurement. Organizational Research Methods, 14(2), 370–388. doi:10.1177/1094428110378369
   Web of Science ®Google Scholar
• Guyon, H., & Tensaout, M. (2016). Are formative indicators superfluous? An extension of Aguirre-Urreta, Rönkkö and Marakas analysis. Measurement: Interdisciplinary Research and Perspectives, 14(3), 101–104.
   Google Scholar
• Hardin, A., & Marcoulides, G. (2011). A commentary on the use of formative measurement. Educational and Psychological Measurement, 71(5), 753–764. doi:10.1177/0013164411414270
   Web of Science ®Google Scholar
• Howell, R. D., Breivik, E., & Wilcox, J. B. (2013). Formative measurement: A critical perspective. DATA BASE for Advances in Information Systems, 44(4), 44–55. doi:10.1145/2544415.2544418
   Web of Science ®Google Scholar
• Lee, N., & Chamberlain, L. (2016). Pride and prejudice and causal indicators. Measurement: Interdisciplinary Research and Perspectives, 14(3), 105–109. doi:10.1080/15366367.2016.1227681
   Web of Science ®Google Scholar
• MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011). Construct measurement and validation procedures in MIS and behavioral research: Integrating new and existing techniques. MIS Quarterly, 35(2), 293–334.
   Web of Science ®Google Scholar
• Markus, K. (2016). Causal measurement models: Can criticism stimulate clarification? Measurement: Interdisciplinary Research and Perspectives, 14(3), 110–113.
   Google Scholar
• Mesquita, L. F., & Lazzarini, S. G. (2008). Horizontal and vertical relationships in developing economies: Implications for SMEs’ access to global markets. Academy of Management Journal, 51(2), 359–380. doi:10.5465/AMJ.2008.31767280
   Web of Science ®Google Scholar
• Muthén, L., & Muthén, B. (1998). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.
   Google Scholar
• Rönkkö, M., & Aguirre-Urreta, M. I. (2014). Formative measurement when indicators contain error: Analysis of ten alternative approaches. In J. Humphreys (ed.), Academy of Management Proceedings (Vol. 2014, p. 17538). Briarcliff Manor, NY: Academy of Management. doi:10.5465/AMBPP.2014.197
   Google Scholar
• Roseel, Y. (2012). Lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1–36.
   Web of Science ®Google Scholar
• Wang, J., & Engelhard, G. (2016). The feasibility of using causal indicators in educational measurement. Measurement: Interdisciplinary Research and Perspectives, 14(3), 114–118.
   Google Scholar