On Interaction Effects Involving Block Variables

Peter V. Marsden
Additional contact information
Peter V. Marsden: University of North Carolina at Chapel Hill

Sociological Methods & Research, 1983, vol. 11, issue 3, 305-323

Abstract: The problem of estimating interaction effects involving unmeasured block variables determined by observed indicator variables is discussed. It is shown that interaction effects involving block variables can be estimated using currently available software. In the case in which a block variable interacts with an observed variable, the multiplicative identity for the unobserved interaction term reduces to a linear combination of cross-products of the measured variable and constituents of the block variable. In this case the model can be estimated via nonlinear regression, or via LISREL with equality restrictions. The former technique can also be used to estimate models in which two or more unobserved block variables interact with one another; in this case, nonlinear combinations of cross-products involving constituent variables constitute the unobserved interaction term. Numerical illustration of the proposed procedures is given, as applied to a problem involving the effects of socioeconomic variables on job satisfaction, conditional on the level of an unmeasured complexity-of-work block variable.

Date: 1983
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0049124183011003002 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:11:y:1983:i:3:p:305-323

DOI: 10.1177/0049124183011003002

Access Statistics for this article

More articles in Sociological Methods & Research
Bibliographic data for series maintained by SAGE Publications ().