Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/322861 
Erscheinungsjahr: 
2011
Schriftenreihe/Nr.: 
Discussion Papers Series No. 11-19
Verlag: 
Utrecht University, Utrecht School of Economics, Tjalling C. Koopmans Research Institute, Utrecht
Zusammenfassung: 
We 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.
Schlagwörter: 
afa
factor analysis
Cronbach's alpha
reliability
heterogeneous scale construction
latent variable
Dokumentart: 
Working Paper

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