Re: Anti-Aristotelian?
- Forwarded message from Herman Rubin - Galileo questioned the conclusions which had been obtained from Aristotle's philosophizing Even the use of "algebraic" notation escaped the people who would have done much more if they had it. It was a half millennium after Archimedes and Euclid before Diophantus introduced the idea of *a* symbol for an unknown quantity, and not until roughly 1600 that Viete came up with multiple symbols. - End of forwarded message from Herman Rubin - Actually, letters are used as variables by Aristotle in his logical works, but apparently mathematicians did not notice!-) _ | | Robert W. Hayden | | Department of Mathematics / | Plymouth State College MSC#29 | | Plymouth, New Hampshire 03264 USA | * | Rural Route 1, Box 10 /| Ashland, NH 03217-9702 | ) (603) 968-9914 (home) L_/ [EMAIL PROTECTED] fax (603) 535-2943 (work)
Re: SEM and Confirmatory factor analysis
-- In article 83ftvs$qjq$[EMAIL PROTECTED], "Haider Al-Katem" [EMAIL PROTECTED] wrote: What is the difference between SEM and Confirmatory factor analysis? Can I perform either of those statistical analyses on a sample size of 50? SEM (Structural Equation Modelling) is more general than confirmatory factor analysis. Confirmatory factor analysis only models causal relations from latents to manifest indicators, leaving the latent variables simply correlated with one another. SEM allows causal relations between latents, where some latents are effects of others, and they in turn of even others.
Re: Factor analysis
-- In article 83ftip$qdf$[EMAIL PROTECTED], "Haider Al-Katem" [EMAIL PROTECTED] wrote: Hi, I have conducted a factor analysis on some questionnaire items. The dependent variables that I am measuring for example ('Intention To Buy', 'Attitude towards a product' and 'Trust in buying the product from a merchant' ) seem to load significantly high on two factors which leaves me with a NOT SIMPLE FACTOR STRUCTURE. I am assuming that since 'Intention To Buy', 'Attitude towards a product' and 'Trust in buying the product from a merchant' all seem to be some type of an ATTITUDE , the significantly high factor loadings on the two factors may be justifiable. My questions are: 1. Are my above interpretations of the result correct? 2. If not, is there a statistical method that can help me overcome this 'non-simple factor structure'? You haven't indicated exactly what the indicators are of these dependent variables. If you only have three indicators then you can only get one common factor for them. Two factors are underidentified for three indicators. Also beware of a possible simplex for your variables or subset of them. In that case a common factor model is not sufficient but may be misleading in fitting fairly well.