Estimating reliability coefficients with heterogeneous item weightings using Stata: A factor based approach
AbstractWe show how to estimate a Cronbach's alpha reliability coefficient in Stata after running a principal component or factor analysis. Alpha evaluates to what extent items measure the same underlying content when the items are combined into a scale or used for latent variable. Stata allows for testing the reliability coefficient (alpha) of a scale only when all items receive homogenous weights. We present a user-written program that computes reliability coefficients when implementation of principal component or factor analysis shows heterogeneous item loadings. We use data on management practices from Bloom and Van Reenen (2010) to explain how to implement and interpret the adjusted internal consistency measure using afa.
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Bibliographic InfoPaper provided by Utrecht School of Economics in its series Working Papers with number 11-19.
Length: 8 pages
Date of creation: Nov 2011
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Find related papers by JEL classification:
- C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other
- C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software
- M21 - Business Administration and Business Economics; Marketing; Accounting - - Business Economics - - - Business Economics
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- NEP-ALL-2011-11-21 (All new papers)
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