Re: st: Composite measures

[Alessandro Freire <alessandro.freire@gmail.com>]

Maarten, thank you for your reply. I believe exploratory factor
analysis is more appropriate for my case. Nevertheless, I still don´t
know how to extract the mean from two variables with different scales.
Any ideas on that?

Best,
Alessandro

On Wed, Feb 15, 2012 at 12:43 AM, Cameron McIntosh <cnm100@hotmail.com> wrote:
> Thanks Maarten for the link to your paper, very interesting. I might also suggest some more general conceptual and methodological treatments of this topic, which is pretty hot these days in marketing and social psych research:
> Hardin, A.M., & Marcoulides, G.A. (2011). A Commentary on the Use of Formative Measurement. Educational and Psychological Measurement, Online First.http://epm.sagepub.com/content/early/2011/08/02/0013164411414270.abstract
>
> 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.
>
> Grace, J.B., & Bollen, K.A. (2008). Representing general theoretical concepts in structural equation models: the role of composite variables. Environmental and Ecological Statistics, 15(2), 191-213.
> Cadogan, J.W., & Lee, N. Improper Use of Endogenous Formative Variables. Journal of Business Research, forthcoming.http://www.research-training.com/index_htm_files/NEW_CADOGAN_LEE_15_OCT_2010.pdf
>
> Kim, G., Shin, B., & Grover, V. (2010). Investigating Two Contradictory Views of Formative Measurement in Information Systems Research. MIS Quarterly, 34(2), 345-365.
>
> Edwards, J.R. (2011). The fallacy of formative measurement. Organizational Research Methods, 14(2), 370-388.
>
> Treiblmaier, H., Bentler, P.M., & Mair, P. (2011). Formative constructs implemented via common factors. Structural Equation Modeling, 18(1), 1-17.
>
> Baxter, R. (2009). Reflective and formative metrics of relationship value: A commentary essay. Journal of Business Research, 62(12), 1370-1377.
>
> Bollen, K.A., & Davis, W.R. (2009). Causal Indicator Models: Identification, Estimation, and Testing. Structural Equation Modeling, 16(3), 498–522.
>
> Howell, R. D., Breivik, E., & Wilcox, J.B. (2007). Reconsidering Formative Measurement. Psychological Methods, 12(2), 205-218.
>
> Bagozzi, R. P. (2007). On the Meaning of Formative Measurement and How It Differs From Reflective Measurement: Comment on Howell, Breivik and Wilcox. Psychological Methods, 12(2), 229-237.
>
> Bollen, K. A. (2007). Interpretational Confounding IS Due to Misspecification, Not to Type of Indicator:  Comment on Howell, Breivik, and Wilcox. Psychological Methods, 12(2), 219-228.
>
> Howell, R. D., Breivik, E., & Wilcox, J. B. (2007). Is Formative Measurement Really Measurement? Psychological Methods, 12(2), 238-245.
>
> Franke, G. R., Preacher, K. J., & Rigdon, E. E. (2008). The Proportional Structural Effects of Formative Indicators. Journal of Business Research, 61(12), 1229-1237.
>
> Wilcox, J. B., Howell, R. D., & Breivik, E. (2008). Questions About Formative Measurement. Journal of Business Research, 61(12), 1219-1228.
>
> Diamantopoulos, A., Riefler, P., & Roth, K. P. (2008). Advancing Formative Measurement Models. Journal of Business Research, 61(12), 1203-1218.http://www.personal.psu.edu/jxb14/EDEN/Articles/Diamantopoulos-Riefler-Roth%202008.pdf
>
> Coltman, T., Devinney, T.M., Midgley, D.F. & Veniak, S. (2008). Formative versus reflective measurement models: Two applications of formative measurement. Journal of Business Research, 61(12), 1250-1262.http://ro.uow.edu.au/cgi/viewcontent.cgi?article=1693&context=infopapers
>
> Bollen, K.A., Lennox, R.D., & Dahly, D.L. (2009). Practical application of the vanishing tetrad test for causal indicator measurement models: An example from health-related quality of life. Statistics in Medicine, 28(10), 1524-1536.
>
> Roberts, N., & Thatcher, J. (2009). Conceptualizing and testing formative constructs: tutorial and annotated example. ACM SIGMIS Database archive, 40(3), 9-39. ACM New York, NY. http://portal.acm.org/citation.cfm?id=1592401.1592405
>
> Cam
>
>> Date: Tue, 14 Feb 2012 21:53:44 +0100
>> Subject: Re: st: Composite measures
>> From: maartenlbuis@gmail.com
>> To: statalist@hsphsun2.harvard.edu
>>
>> The key question is whether you believe that there is some latent
>> concept (interest in politics) that influences the answers on those
>> two questions or whether you believe that the things asked in those
>> two questions add up / influence the latent concept. In the former
>> case you can use techniques like factor analysis (see: -help factor-)
>> to create the composite and in the latter case you use sheaf
>> coefficients to create the composite (see -ssc desc sheafcoef- and
>> <http://www.maartenbuis.nl/wp/prop.html>.
>>
>> Hope this helps,
>> Maarten
>>
>> On Tue, Feb 14, 2012 at 7:25 PM, Alessandro Freire wrote:
>> > I want to create a composite measure by using the mean of two
>> > variables regarding interest in politics, but their scales are
>> > different. One of them is scaled from 0 to 10, the other goes from 1
>> > to 5. What should I do so that their weights are equally distributed
>> > in the new variable?
>>
>> --------------------------
>> Maarten L. Buis
>> Institut fuer Soziologie
>> Universitaet Tuebingen
>> Wilhelmstrasse 36
>> 72074 Tuebingen
>> Germany
>>
>>
>> http://www.maartenbuis.nl
>> --------------------------
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