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Lee, Cadogan, and Chamberlain: an excellent point . . . But what about that iceberg?

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  • Edward E. Rigdon

    (Georgia State University)

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  • Edward E. Rigdon, 2013. "Lee, Cadogan, and Chamberlain: an excellent point . . . But what about that iceberg?," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 24-29, March.
    • Handle: RePEc:spr:amsrev:v:3:y:2013:i:1:d:10.1007_s13162-013-0034-0
    DOI: 10.1007/s13162-013-0034-0
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    References listed on IDEAS

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    1. Nick Lee & John W. Cadogan & Laura Chamberlain, 2013. "The MIMIC model and formative variables: problems and solutions," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 3-17, March.
    2. Niels Waller & Jeff Jones, 2010. "Correlation Weights in Multiple Regression," Psychometrika, Springer;The Psychometric Society, vol. 75(1), pages 58-69, March.
    3. Peter Schönemann & Ming-Mei Wang, 1972. "Some new results on factor indeterminacy," Psychometrika, Springer;The Psychometric Society, vol. 37(1), pages 61-91, March.
    4. James Steiger, 1979. "Factor indeterminacy in the 1930's and the 1970's some interesting parallels," Psychometrika, Springer;The Psychometric Society, vol. 44(2), pages 157-167, June.
    5. Freeman Dyson, 2004. "A meeting with Enrico Fermi," Nature, Nature, vol. 427(6972), pages 297-297, January.
    6. Jason Dana & Robyn M. Dawes, 2004. "The Superiority of Simple Alternatives to Regression for Social Science Predictions," Journal of Educational and Behavioral Statistics, , vol. 29(3), pages 317-331, September.
    7. William Rozeboom, 1979. "Sensitivity of a linear composite of predictor items to differential item weighting," Psychometrika, Springer;The Psychometric Society, vol. 44(3), pages 289-296, September.
    8. Richard Scheines & Herbert Hoijtink & Anne Boomsma, 1999. "Bayesian estimation and testing of structural equation models," Psychometrika, Springer;The Psychometric Society, vol. 64(1), pages 37-52, March.
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    Cited by:

    1. John W. Cadogan & Nick Lee & Laura Chamberlain, 2013. "Formative variables are unreal variables: why the formative MIMIC model is invalid," AMS Review, Springer;Academy of Marketing Science, vol. 3(1), pages 38-49, March.
    2. John R. Rossiter, 2013. "Scientific progress in measurement theory?," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 171-179, September.
    3. Nick Lee & John W. Cadogan & Laura Chamberlain, 2014. "Material and efficient cause interpretations of the formative model: resolving misunderstandings and clarifying conceptual language," AMS Review, Springer;Academy of Marketing Science, vol. 4(1), pages 32-43, June.
    4. Adamantios Diamantopoulos & Dirk Temme, 2013. "MIMIC models, formative indicators and the joys of research," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 160-170, September.

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