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Index Construction with Formative Indicators: An Alternative to Scale Development
Abstract
Although the methodological literature is replete with advice regarding the development and validation of multi-item scales based on reflective measures, the issue of index construction using formative measures has received little attention. The authors seek to address this gap by (1) examining the nature of formative indicators, (2) discussing ways in which the quality of formative measures can be assessed, and (3) illustrating the proposed procedures with empirical data. The aim is to enhance researchers' understanding of formative measures and assist them in their index construction efforts.
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“A composite score was computed as the mean of the four items to reflect overall task performance (Diamantopoulos & Winklhofer, 2001).”
From Countering dis/misinformation sharing by hindering moral disengagement in adolescence: the role of prosocial conversational modeling (2026) · cites this paper as Diamantopoulos & Winklhofer, 2001
Citations
Cites
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
Estimating Nonresponse Bias in Mail Surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.2307/3150783 · Cited by 12,222
Estimating nonresponse bias in mail surveys
Armstrong, J. S., & Overton, T. S. (1977) · Journal of Marketing Research · doi:10.1177/002224377701400320 · Cited by 10,390
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
Construct Validity: A Review of Basic Issues and Marketing Practices
Peter, J. P. (1981) · Journal of Marketing Research · doi:10.2307/3150948 · Cited by 1,189
Research works printed but not linked: 58
- 10.1177/002224378201900407 · DOI
- Babbie Earl R., 1973, Survey Research Methods.
- Bagozzi Richard P., 1982, A Second Generation of Multivariate Analysis, 1, 5
- Bagozzi Richard P., 1994, Principles of Marketing Research, 317
- Bagozzi Richard P., 1982, A Second Generation of Multivariate Analysis, 1, 24
- 10.1207/s15327906mbr1604_2 · DOI
- Bearden William O., 1993, Handbook of Marketing Scales: Multi-Item Measures for Marketing and Consumer Behavior Research.
- Blalock Hubert M., 1971, Causal Models in the Social Sciences, 335
- 10.1007/BF00227593 · DOI
- 10.1002/9781118619179 · DOI · Paper page
- Bruner Gordon C., 1992, Marketing Scales Handbook: A Compilation of Multi-Item Measures, 1
- 10.1007/BF02894526 · DOI
- Bruner Gordon C., 1996, Marketing Scales Handbook: A Compilation of Multi-Item Measures, 2
- 10.1177/002224378402100401 · DOI
- 10.1086/209147 · DOI
- 10.1177/002224378402100402 · DOI · Paper page
- 10.1177/014662169001400207 · DOI
- 10.1207/s15327906mbr1802_2 · DOI · Paper page
- 10.1016/0169-2070(87)90031-8 · DOI · Paper page
- Daly H.E., 1989, For the Common Good.
- 10.1016/0148-2963(84)90016-X · DOI
- DeVellis Robert F., 1991, Scale Development: Theory and Applications.
- Dichtl Erwin, 1986, Management International Review, 26, 4
- Economist Intelligence Unit, 1996, Global EIU Market Indexes.
- 10.1108/03090569310026402 · DOI
- Fornell Claes, 1982, A Second Generation of Multivariate Analysis, 1, 289
- Fornell Claes, 1994, Advanced Methods of Marketing Research, 52
- 10.1007/BF02404080 · DOI
- 10.1177/002224378502200203 · DOI
- 10.1086/208547 · DOI · Paper page
- 10.4159/harvard.9780674592582 · DOI
- Hauser Robert M., 1971, Socioeconomic Background and Educational Performance
- Hauser Robert M., 1973, Structural Equation Models in the Social Sciences, 255
- 10.2307/270819 · DOI
- 10.1177/002224299906300201 · DOI
- Horn Robert V., 1983, Statistical Indicators for the Economic and Social Sciences.
- 10.1177/002224297804200213 · DOI
- Jobber D., 1987, Quarterly Review of Marketing, 12, 7
- 10.1007/BF03359553 · DOI
- Jöreskog Karl G., 1975, Journal of the American Statistical Association, 10, 631
- Kleinbaum D.G., 1988, Applied Regression Analysis and Other Multivariable Methods
- 10.4135/9781412983778 · DOI
- 10.1177/009207038901700101 · DOI
- 10.1037/0033-2909.114.3.533 · DOI
- Mahmoud Essam, 1987, The Handbook of Forecasting: A Manager's Guide
- 10.1177/002224298905300305 · DOI · Paper page
- 10.1086/209344 · DOI
- Namboodiri N. Krishnan, 1975, Applied Multivariate Analysis and Experimental Designs.
- Nunnally Jum C., 1994, Psychometric Theory
- 10.1177/002224377901600102 · DOI
- 10.1177/002224378101800201 · DOI · Paper page
- 10.1086/209304 · DOI · Paper page
- Small R. L., 1980, Sales Forecasting in Canada: A Survey of Practices
- 10.4135/9781412986038 · DOI
- 10.1016/0167-8116(91)90027-5 · DOI · Paper page
- United Nations Development Program, 1990, Human Development Index.
- White H. R., 1986, Sales Forecasting: Timesaving and Profit-Making Strategies That Work.
- 10.1177/002224378402100311 · DOI
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Metadata
- Authors
- Diamantopoulos, A., & Winklhofer, H. M.
- Affiliations
- Loughborough University Business School
- Business School, The University of Nottingham
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2001-05
- Volume
- 38
- Issue
- 2
- Pages
- 269-277
- ISSN
- 0022-2437
- 1547-7193
- Cited by
- 3,748
- References
- 5
- Language
- en
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