Formative variables are unreal variables: why the formative MIMIC model is invalid

被引:0
作者
Cadogan J.W. [1 ]
Lee N. [2 ]
Chamberlain L. [2 ]
机构
[1] Loughborough University, School of Business and Economics, and Lappeenranta University of Technology School of Business, Loughborough
[2] Aston University, Aston Business School, Birmingham
关键词
Causality; Composites; Formative variables; Indicators; Measurement; Ontology; Philosophy; Theory;
D O I
10.1007/s13162-013-0038-9
中图分类号
学科分类号
摘要
In this rejoinder, we provide a response to the three commentaries written by Diamantopoulos, Howell, and Rigdon (all this issue) on our paper The MIMIC Model and Formative Variables: Problems and Solutions (also this issue). We contrast the approach taken in the latter paper (where we focus on clarifying the assumptions required to reject the formative MIMIC model) by spending time discussing what assumptions would be necessary to accept the use of the formative MIMIC model as a viable approach. Importantly, we clarify the implications of entity realism and show how it is entirely logical that some theoretical constructs can be considered to have real existence independent of their indicators, and some cannot. We show how the formative model only logically holds when considering these ‘unreal’ entities. In doing so, we provide important counter-arguments for much of the criticisms made in Diamantopoulos’ commentary, and the distinction also helps clarify a number of issues in the commentaries of Howell and Rigdon (both of which in general agree with our original paper). We draw together these various threads to provide a set of conceptual tools researchers can use when thinking about the entities in their theoretical models. © 2013, Academy of Marketing Science.
引用
收藏
页码:38 / 49
页数:11
相关论文
共 26 条
[1]  
Bagozzi R.P., A Prospectus for Theory Construction in Marketing, Journal of Marketing Research, 48, 1, pp. 11-29, (1984)
[2]  
Bagozzi R.P., Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations, MIS Quarterly, 35, 2, pp. 261-292, (2011)
[3]  
Blalock H.M., The Confounding of Measured and Unmeasured Variables, Sociological Methods and Research, 3, 4, pp. 355-383, (1975)
[4]  
Bollen K.A., Interpretational Confounding is Due to Misspecification, Not Type of Indicator: Comment on Howell, Breivik, and Wilcox (2007), Psychological Methods, 12, 2, pp. 219-228, (2007)
[5]  
Borsboom D., Measuring the Mind: Conceptual Issues in Contemporary Psychometrics, (2005)
[6]  
Borsboom D., Mellenbergh G.J., van Heerden J., The Theoretical Status of Latent Variables, Psychological Review, 110, 2, pp. 203-219, (2003)
[7]  
Cadogan J.W., Lee N., Improper Use of Endogenous Formative Variables, Journal of Business Research, 66, pp. 233-241, (2013)
[8]  
Diamantopoulos A., The Error Term in Formative Measurement Models: Interpretation and Modeling Implications, Journal of Modelling in Management, 1, 1, pp. 7-17, (2006)
[9]  
Diamantopoulos A., MIMIC Models and Formative Measurement: Some Thoughts on Lee, Cadogan, and Chamberlain, AMS Review, (2013)
[10]  
Diamantopoulos A., Riefler P., Roth K.P., Formative Indicators: Introduction to the Special Issue, Journal of Business Research, 61, 12, pp. 1203-1218, (2008)