Min n CFA clarification
Dear Marianne, this example was extracted from LISREL´s manual (Structural Equation Modeling with the SIMPLIS command language)on page 53. "(...) There are three sets of parameters in the model: (1) the four factor loadings corresponding to the paths from Verbal and Math to the observed variables, (2) The correlation between Verbal and Math, and (3) the four error variances of the observed variables." I hope this helps. Best regards, Alexandre Moura. P.S. It may help to post your message on SEMNET. http://bama.ua.edu/cgi-bin/wa?A0=semnetD=1H=0O=DT=1 - Original Message - From: Marianne and Dimitrios To: [EMAIL PROTECTED] Sent: Saturday, August 18, 2001 12:49 PM Subject: Min n CFA clarification Let me clarify my previous posting. I want to do a confirmatory factoranalysis to validate a questionnaire. There are 45 questions (subjectsanswer using a 1-5 scale). Theoretically, there are 3 subscales with15 items on each. In a CFA, that gives me 3 factors, 45 error terms,14 factor loadings on each of 3 factors, and 3 covariances. I figurethat gives me 93 parameters. That's the part I need somebody to verifyfor me. Have I counted the number of parameters correctly? If so,then I should have at least a 1:10 and at best a 1:20 ratio ofsubjects to parameters. Hence, the estimate of 930-1860 subjects. Isthis correct?Thanks to all who are helping me with this.Marianne=Instructions for joining and leaving this list and remarks aboutthe problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/=
Confidence interval for Pearson Correlation
Dear Members, How can I construct a confidence interval about Pearson correlation using standard error and t value? What is the formula? Regards, Alexandre Moura. = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Factor Analysis
Dear Haytham, other issue concern with a measure of the latent construct is the unidimensionality. Hair et alli(1998): unidimensionality is an assumption underlying the calculation of reliability and is demonstraded when indicators of a construct have acceptable fit on a single-factor(one-dimensional) model.(...) The use of reliability measures, such Cronbach´s alpha, does not ensure unidimensionality but instead assumes it exists. The researcher is encouraged to perform unidimensionality tests on all multiple-indicator constructs before assessing their reliability. This reference is very important: Gerbing, David W., Anderson, James C. An updated paadigm for scale development incorporating unidimensionality and its assesment. Best regards, Alexandre Moura. P.S. Please accept my apologies for my English mistakes. - Original Message - From: haytham siala [EMAIL PROTECTED] To: [EMAIL PROTECTED] Sent: Friday, June 15, 2001 5:40 PM Subject: Factor Analysis Hi, I will appreciate if someone can help me with this question: if factors extracted from a factor analysis were found to be reliable (using an internal consistency test like a Cronbach alpha), can they be used to represent a measure of the latent construct? If yes, are there any references or books that justify this technique? = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ = = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
Re: Factor Analysis
The complete reference: Gerbing, David W., Anderson, James C. An updated paradigm for scale development incorporating unidimensionality and its assesment. Journal of Marketing Research. Vol. XXV (May 1988). Alexandre Moura. - Original Message - From: Alexandre Moura [EMAIL PROTECTED] To: [EMAIL PROTECTED] Sent: Saturday, June 16, 2001 9:26 AM Subject: Re: Factor Analysis Dear Haytham, other issue concern with a measure of the latent construct is the unidimensionality. Hair et alli(1998): unidimensionality is an assumption underlying the calculation of reliability and is demonstraded when indicators of a construct have acceptable fit on a single-factor(one-dimensional) model.(...) The use of reliability measures, such Cronbach´s alpha, does not ensure unidimensionality but instead assumes it exists. The researcher is encouraged to perform unidimensionality tests on all multiple-indicator constructs before assessing their reliability. This reference is very important: Gerbing, David W., Anderson, James C. An updated paadigm for scale development incorporating unidimensionality and its assesment. Best regards, Alexandre Moura. P.S. Please accept my apologies for my English mistakes. - Original Message - From: haytham siala [EMAIL PROTECTED] To: [EMAIL PROTECTED] Sent: Friday, June 15, 2001 5:40 PM Subject: Factor Analysis Hi, I will appreciate if someone can help me with this question: if factors extracted from a factor analysis were found to be reliable (using an internal consistency test like a Cronbach alpha), can they be used to represent a measure of the latent construct? If yes, are there any references or books that justify this technique? = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ = = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ = = Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =
