Some posts have indicated a score of at least 0.7 for composit reliability. But composit reliability is equivalent to rho in covariance methods, where a minimum value of 0.5 is used. Any reason why the difference?
Regards
Vivek
composite reliability scores
-
viswadatta
- PLS Expert User
- Posts: 139
- Joined: Wed Jul 05, 2006 1:43 pm
- Real name and title:
- Location: Coimbatore, India
-
viswadatta
- PLS Expert User
- Posts: 139
- Joined: Wed Jul 05, 2006 1:43 pm
- Real name and title:
- Location: Coimbatore, India
rho meaninf
Thanks prof bido
Which is to be used, composite reliability or alpha?
Regards
Vivek
Which is to be used, composite reliability or alpha?
Regards
Vivek
-
Diogenes
- PLS Super-Expert
- Posts: 899
- Joined: Sat Oct 15, 2005 5:13 pm
- Real name and title:
- Location: São Paulo - BRAZIL
- Contact:
Hi Vivek,
It is better when both of them are upper then 0,7, but in the SEM context there are some critics (see references) about using Alpha to measure reliability (same weight for all indicators), then report both of them, but make sure that composite reliability is upper then 0,7.
Best regards.
Bido
BROWN, Timothy A. Confirmatory Factor Analysis for Applied Research. USA: The Guilford Press, 2006. p.337-345.
CHIN, W. W. The Partial Least Squares approach to structural equation modeling. In: MARCOULIDES, G. A. (Ed.) Modern Methods for business research. USA: Lawrence Erlbaum Associates, Inc., p. 320, 1998.
GERBING, David W.; ANDERSON, James C. An Updated Paradigm for Scale Development Incorporating Unidimensionality and its Assessment. Journal of Marketing Research.
v. XXV. 1988. p.190.
HANCOCK, Gregory R.; MUELLER, Ralph O. Rethinking construct reliability within latent variable systems. In: CUDECK, Robert; DU TOIT, Stephen; SÖRBOM, Dag (Ed.). Structural Equation Modeling: present and future: a festschrift in honor of Karl Jöreskog. USA: Scientific Software International, 2001. p.195-216.
SCHUMACKER, Randall E.; LOMAX, Richard G. A Beginner’s Guide to Structural Equation Modeling. 2nd Ed. USA: Lawrence Erlbaum Associates, Publishers, 2004. p. 178-180.
VEHKALAHTIN, Kimmo; PUNTANEN, Simo; TARKKONEN, Lauri. Estimation of reliability: a better alternative for Cronbach’s alpha. Reports in Mathematics. Finland: University of Helsinki, Department of Mathematics and Statistics, 2006. Available in: <http://mathstat.helsinki.fi/reports/Preprint430.pdf>.
It is better when both of them are upper then 0,7, but in the SEM context there are some critics (see references) about using Alpha to measure reliability (same weight for all indicators), then report both of them, but make sure that composite reliability is upper then 0,7.
Best regards.
Bido
BROWN, Timothy A. Confirmatory Factor Analysis for Applied Research. USA: The Guilford Press, 2006. p.337-345.
CHIN, W. W. The Partial Least Squares approach to structural equation modeling. In: MARCOULIDES, G. A. (Ed.) Modern Methods for business research. USA: Lawrence Erlbaum Associates, Inc., p. 320, 1998.
GERBING, David W.; ANDERSON, James C. An Updated Paradigm for Scale Development Incorporating Unidimensionality and its Assessment. Journal of Marketing Research.
v. XXV. 1988. p.190.
HANCOCK, Gregory R.; MUELLER, Ralph O. Rethinking construct reliability within latent variable systems. In: CUDECK, Robert; DU TOIT, Stephen; SÖRBOM, Dag (Ed.). Structural Equation Modeling: present and future: a festschrift in honor of Karl Jöreskog. USA: Scientific Software International, 2001. p.195-216.
SCHUMACKER, Randall E.; LOMAX, Richard G. A Beginner’s Guide to Structural Equation Modeling. 2nd Ed. USA: Lawrence Erlbaum Associates, Publishers, 2004. p. 178-180.
VEHKALAHTIN, Kimmo; PUNTANEN, Simo; TARKKONEN, Lauri. Estimation of reliability: a better alternative for Cronbach’s alpha. Reports in Mathematics. Finland: University of Helsinki, Department of Mathematics and Statistics, 2006. Available in: <http://mathstat.helsinki.fi/reports/Preprint430.pdf>.
-
mymohasan5
- PLS Junior User
- Posts: 1
- Joined: Thu Apr 12, 2012 4:04 pm
- Real name and title:
lack cronbach alpha
dear prof bido
how if my measurement shows that good composite reliability but lack cronbach alpha.. ??
what should I do ? n how to interpret it ?
thank you .. :)
how if my measurement shows that good composite reliability but lack cronbach alpha.. ??
what should I do ? n how to interpret it ?
thank you .. :)
student of airlangga university on economic and business majority
