Cited By
View all- McIntosh CEdwards JAntonakis J(2014)Reflections on Partial Least Squares Path ModelingOrganizational Research Methods10.1177/109442811452916517:2(210-251)Online publication date: 10-Apr-2014
Does existing measurement theory support the use of composite and causal indicators in information systems research?
Pages 56 - 65
Abstract
Despite lingering concerns surrounding the use of composite and causal indicators, a significant number of information systems researchers continue to employ them in their work. The authors suggest that misunderstandings about the appropriateness of implementing composite and causal indicators can be traced to the absence of measurement theory supporting their use. Recommendations on how researchers might design studies that avoid the use of these respective indicators are also provided.
References
[1]
Aquirre-Urreta, M. I., and Marakas, G. M. "Revisiting bias due to construct misspecification: Different results from considering coefficents in standardized form," MIS Quarterly (36:1) 2012, pp 123--138.
[2]
Bagozzi, R. P. "Measurement and Meaning in Information Systems and Organizational Research: Methodological and Philosophical Foundations," MIS Quarterly (35:2) 2011, pp 261--292.
[3]
Blalock, H. M. "Making causal inferences for unmeasured varaibles from correlations among indicators " American Journal of Sociology (69:1) 1963, pp 53--62.
[4]
Bollen, K. Structural Equations with Latent Variables John Wiley and Sons, New York, 1989.
[5]
Bollen, K. "Evaluating effect, composite, and causal indicators in structural equation models," MIS Quarterly (35:2) 2011, pp 359--372.
[6]
Chapin, S. F. The measurement of social status: By the use of the social status scale The University of Minnesota Press, Minnesota, 1933.
[7]
Diamantopoulos, A. "The error term in formative measurement models: Interpretation and modeling implications," Journal of Modeling in Management (1:1) 2006, pp 7--17.
[8]
Diamantopoulos, A. " Incorporating Formative Measures into Covariance-Based Structural Equation Models," MIS Quarterly (35:2) 2011, pp 335--358.
[9]
Diamantopoulos, A., and Winklhofer, H. M. "Index construction with formative indicators," Journal of Marketing Research (38) 2001, pp 269--277.
[10]
Edwards, J. R. "The fallacy of formative measurement," Organizational Research Methods OnlineFirst (14:2) 2010, pp 370--388.
[11]
Hardin, A., Chang, J., and Fuller, M. "Clarifying the use of formative measurement in the IS discipline," Journal of the Association for Information Systems (9:1) 2008a, pp 544--546.
[12]
Hardin, A., Chang, J., and Fuller, M. "Formative versus reflective measurement: Comment on Marakas, Johnson, and Clay (2007)," Journal of the Association for Information Systems (9:9) 2008b, pp 519--534.
[13]
Hardin, A., Chang, J., Fuller, M., and Torkzadeh, G. "Formative measurement and academic research: In search of measurement theory," Educational and Psychological Measurement (71:2) 2011a, pp 281--305.
[14]
Hardin, A., and Looney, C. "Myopic Loss Aversion: Demystifying the Key Factors Influencing Decision Problem Framing.," Organizational Behavior and Human Decision Processes (11) 2012, pp 311--331.
[15]
Hardin, A., and Marcoulides, G. A. "A commentary on formative measurment," Educational and Psychological Measurement (71:5) 2011b, pp 753--764.
[16]
Howell, D. R., Breivik, E., and Wilcox, J. B. "Is formative measurement really measurement? Reply to Bollen (2007) and Bagozzi (2007)," Psychological Methods (12:2) 2007a, pp 238--245.
[17]
Howell, D. R., Breivik, E., and Wilcox, J. B."Reconsidering formative measurement " Psychological Methods (12:2) 2007b, pp 205--218.
[18]
Jarvis, C. B., MacKenzie, S. B., and Podsakoff, P. "A critical review of construct indicators and measurement model mis-specification in marketing and consumer research," Journal of Consumer Research (30) 2003, pp 1999--1216.
[19]
Kim, G., Shin, B., and Grover, V. "Investigating two contradictory views of foramtive measurment in information systems research," MIS Quarterly (34:2) 2010, pp 1--xxx.
[20]
Looney, C., and Hardin, A. "Decision Support for Retirement Portfolio Management: Overcomi Myopic Loss Aversion via Technology Design," Management Science (55:10) 2009, pp 1688--1703.
[21]
Petter, S., Straub, D., and Rai, A. "Specifying formative constructs in information systems research," MIS Quarterly (31:4) 2007, pp 623--656.
[22]
Wilcox, J. B., Howell, R. D., and Breivik, E. "Questions about formative measurement," Journal of Business Research (61:12) 2008, pp 1219--1228.
Index Terms
- Does existing measurement theory support the use of composite and causal indicators in information systems research?
Recommendations
Interpretation of formative measurement in information systems research
Within the Information Systems literature, there has been an emerging interest in the use of formative measurement in structural equation modeling (SEM). This interest is exemplified by descriptions of the nature of formative measurement (e.g., Chin ...
How well does I3 perform for impact measurement compared to other bibliometric indicators? The convergent validity of several (field-normalized) indicators
Recently, the integrated impact indicator (I3) was introduced where citations are weighted in accordance with the percentile rank class of each publication in a set of publications. I3 can also be used as a field-normalized indicator. Field-...
The analysis of formative measurement in IS research: choosing between component-and covariance-based techniques
Formative measurement is a valuable alternative to reflective measurement when developing indicators of latent variables in structural equation models (SEM). Our goal is to further guide IS research in the application of formative measures by comparing ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © 2013 Authors.
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 14 November 2013
Published in SIGMIS Volume 44, Issue 4
Check for updates
Author Tags
Qualifiers
- Column
- Research
- Refereed
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 145Total Downloads
- Downloads (Last 12 months)5
- Downloads (Last 6 weeks)1
Reflects downloads up to 12 Dec 2024
Other Metrics
Citations
Cited By
View all- McIntosh CEdwards JAntonakis J(2014)Reflections on Partial Least Squares Path ModelingOrganizational Research Methods10.1177/109442811452916517:2(210-251)Online publication date: 10-Apr-2014
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in