Material and efficient cause interpretations of the formative model: resolving misunderstandings and clarifying conceptual language

AMS Review

Volumn 4, Issue 1-2, 2014, Pages 32-43

  Lee, Nick ^a   Cadogan, John W ^b   Chamberlain, Laura ^a  

^a ASTON UNIVERSITY   (United Kingdom)

^b LOUGHBOROUGH UNIVERSITY   (United Kingdom)

Author keywords

Causality; Composites; Formative Variables; Indicators; Measurement; Ontology; Philosophy; Theory

Indexed keywords

EID: 84914159840     PISSN: 1869814X     EISSN: 18698182     Source Type: Journal    
DOI: 10.1007/s13162-013-0058-5     Document Type: Review

References (37)

1. Aristotle (1984 a). The complete works: The revised Oxford translation, vol. 1, J. Barnes (Ed.), NJ: Princeton University Press.
2. Aristotle (1984 b). The complete works: The revised Oxford translation, vol. 2, J. Barnes (Ed.). NJ: Princeton University Press.
3. Bagozzi, R. P. (1994). Structural equation models in marketing research: Basic principles. In R. P. Bagozzi (Ed.), Principles of marketing research. Cambridge: Blackwell.
4. Blalock, H. M. (1964). Causal inferences in nonexperimental research. New York: W.W. Norton.
5. Blalock, H. M. (1971). Causal models involving unmeasured variables in stimulus-response situations. In H. M. Blalock (Ed.), Causal models in the social sciences (pp. 335–347). New York: McGraw-Hill.
6. 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
7. Bollen, K. A., & Davis, W. R. (2009). Causal indicator models: identification, estimation, and testing. Structural Equation Modeling, 16(3), 498–522. DOI: 10.1080/10705510903008253
8. Bollen, K. A., & Lennox, R. (1991). Conventional wisdom in measurement: a structural equations perspective. Psychological Bulletin, 110(2), 305–314. DOI: 10.1037/0033-2909.110.2.305
9. Borsboom, D. (2005). Measuring the mind: Conceptual issues in contemporary psychometrics. Cambridge: Cambridge University Press. DOI: 10.1017/CBO9780511490026
10. Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003). The theoretical status of latent variables. Psychological Review, 110(2), 203–219. DOI: 10.1037/0033-295X.110.2.203
11. Burt, R. S. (1976). Interpretational confounding of unobserved variables in structural equation models. Sociological Methods and Research, 5(1), 3–52. DOI: 10.1177/004912417600500101
12. Cadogan, J. W., & Lee, N. J. (2013). Improper use of endogenous formative variables. Journal of Business Research, 66(2), 233–241. DOI: 10.1016/j.jbusres.2012.08.006
13. Cadogan, J. C., Lee, N., & Chamberlain, L. (2013). Formative variables are unreal variables: why the formative MIMIC model is invalid. AMS Review, 3(1), 38–49. DOI: 10.1007/s13162-013-0038-9
14. Diamantopoulos, A. (2011). Incorporating formative measures into covariance-based structural equation models. MIS Quarterly, 35(2), 335–358.
15. Diamantopoulos, A. (2013). MIMIC models and formative measurement: some thoughts on Lee, Cadogan, and Chamberlain. AMS Review, 3(1), 30–37. DOI: 10.1007/s13162-013-0035-z
16. Diamantopoulos, A., & Temme, D. T. (2013). MIMIC models, formative indicators and the joys of research. AMS Review, 3(3), 160–171. DOI: 10.1007/s13162-013-0050-0
17. Diamantopoulos, A., & Winklhofer, H. M. (2001). Index construction with formative indicators: an alternative to scale development. Journal of Marketing Research, 38, 269–277. DOI: 10.1509/jmkr.38.2.269.18845
18. Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Formative indicators: introduction to the special issue. Journal of Business Research, 61(12), 1203–1218. DOI: 10.1016/j.jbusres.2008.01.009
19. Edwards, J. E. (2011). The fallacy of formative measurement. Organizational Research Methods, 14(2), 370–388. DOI: 10.1177/1094428110378369
20. Fayers, P. M., & Hand, D. J. (2002). Causal variables, indicator variables and measurement scales: an example from quality of life. Journal of the Royal Statistical Society A, 165(2), 233–261. DOI: 10.1111/1467-985X.02020
21. Feeney, D. (2006). The multiattribute utility approach to assessing health-related quality of life. In A. M. Jones (Ed.), The Elgar companion to health economics. Cheltenham: Edward Elgar Publishing.
22. Fornell, C., & Bookstein, F. L. (1982). A comparative analysis of Two structural equation models: LISREL and PLS applied to market data. In C. Fornell (Ed.), A second generation of multivariate analysis. New York: Praeger.
23. Hardin, A. M., & Marcoulides, G. A. (2011). A commentary on the use of formative measurement. Educational and Psychological Measurement, 71(5), 753–764. DOI: 10.1177/0013164411414270
24. Hardin, A. M., Chang, J. C.-J., Fuller, M. A., & Torkzadeh, G. (2011). Formative measurement and academic research: in search of measurement theory. Educational and Psychological Measurement, 71(2), 281–305. DOI: 10.1177/0013164410370208
25. Howell, R. D. (2013). Conceptual clarity in measurement - constructs, composites, and causes: a commentary on Lee, Cadogan and Chamberlain. AMS Review, 3(1), 18–23.
26. Howell, R. D., Breivik, E., & Wilcox, J. B. (2007). Reconsidering formative measurement. Psychological Methods, 12(2), 205–218. DOI: 10.1037/1082-989X.12.2.205
27. Hume, D. (1985). A treatise of human nature. London: Penguin Classics.
28. Hume, D. (2008). An enquiry concerning human understanding. Oxford: Oxford University Press.
29. Jöreskog, K., & Sörbom, D. (1993). LISREL 8: User's reference guide. Chicago: Scientific Software International.
30. Lee, N., & Cadogan, J. W. (2013). Problems with formative and higher-order reflective variables. Journal of Business Research, 66(2), 242–247. DOI: 10.1016/j.jbusres.2012.08.004
31. Lee, N., Cadogan, J. W., & Chamberlain, L. (2013). The MIMIC model and formative variables: problems and solutions. AMS Review, 3(1), 3–17. DOI: 10.1007/s13162-013-0033-1
32. Markus, K. A., & Borsboom, D. (2013). Frontiers of test validity theory. New York: Routledge.
33. Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. MIS Quarterly, 31(4), 623–656.
34. Rigdon, E. E. (2013). Lee, Cadogan, and Chamberlain: an excellent point but what about that iceberg? AMS Review, 3(1), 24–29. DOI: 10.1007/s13162-013-0034-0
35. Ryan, M., & Farrar, S. (2000). Using conjoint analysis to elicit preferences for health care. British Medical Journal, 320, 1530–1533. DOI: 10.1136/bmj.320.7248.1530
36. Torrance, G. W., Feeny, D. H., Furlong, W. J., Barr, R. D., Zhang, Y., & Wang, Q. (1996). A multiattribute utility function for a comprehensive health status classification system: health utilities mark 2. Medical Care, 34(7), 702–722. DOI: 10.1097/00005650-199607000-00004
37. Wilcox, J. B., Howell, R. D., & Breivik, E. (2008). Questions about formative measurement. Journal of Business Research, 61(12), 1219–1228. DOI: 10.1016/j.jbusres.2008.01.010