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Date:         Sun, 20 Oct 2002 14:49:18 -0500
Reply-To:     R Cole <>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         R Cole <>
Subject:      Re: New Variables from Factor Analysis
In-Reply-To:  <>
Content-Type: text/plain; charset="us-ascii"

I have had that concern with my sample size, but that is what I have to work with in the study. My intention is to raise the threshold for Significant Factor Loadings in determining the factors. In this case, I was considering using .6. This is based on the recommendations of Hair, et al (1998) (p112) where a factor size of .7 is recommended for a sample size of 60, and then somewhat lowering the factor size based on the large number of variables. I had indication the Factor Analysis was appropriate with an Overall Measure of Sampling Adequacy of .716 and a Bartlett Test of Sphericity: 754.650 Significance: .000.

Would these additional measures be considered adequate for use in a study of managerial perceptions of barriers to effective implementation of a new management system? In this case, where the purpose is to provide managers guidance on what barriers to avoid or make allowances for, I am more concerned with type-2 error.

Thanks very much for your advice.

Being new to this list, would it be more appropriate to conduct these discussions off the list? Richard

-----Original Message----- From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of Gil Klajman Sent: Sunday, October 20, 2002 9:25 AM To: SPSSX-L@LISTSERV.UGA.EDU Subject: Re: New Variables from Factor Analysis

In addition, a factor analysis with barely two cases per variable is in itself very unreliable. See, for example a text such as Tabachnik and Fidell, who recommend a minimum of five cases per variable, for detail.


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