Q-Sort  is used as the name of a sorting algotithm.  It is common in UNIX
systems.  The following reference comes from the UNIX manual page for qsort:

Hoare, C.A.R., "Quicksort", The Computer Journal, 5:1, pp. 10-15, 1962.

Is q-sort short for Quicksort?

Paul Bielawski

----- Original Message ----- 
From: "Bruce Weaver" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Tuesday, May 25, 2004 3:41 PM
Subject: Re: [edstat] Q-Sort / Q-methodology - What is "Q"?


> Neil wrote:
> > This may sound like a silly question, but for those of you are
> > familiar with Q-Sort Analysis / Q-Methodology, (a type of Factor
> > Analysis), does someone know what the "Q" actually stands for?
> >
> > I have found many journal articles and websites on this analysis/
> > methodology, but have not been able to find the above information in
> > any of my sources. A definitive reference where this information can
> > be found will help.
> >
> > TIA
>
> I initially thought Neil was talking about "Q-mode factor
> analysis", as did some other respondents.  David Garson
> describes Q-mode factor analysis as follows
> (http://www2.chass.ncsu.edu/garson/pa765/factor.htm):
>
> ------------------------------------------------------
> Factor Analytic Data Modes
>
>      * R-mode factor analysis. R-mode is by far the most
> common, so much so that it is normally assumed and not
> labeled as such. In R-mode, rows are cases, columns are
> variables, and cell entries are scores of the cases on the
> variables. In R-mode, the factors are clusters of variables
> on a set of people or other entities, at a given point of time.
>
>      * Q-mode factor analysis, also called inverse factor
> analysis, is factor analysis which seeks to cluster the
> cases rather than the variables. That is, in Q-mode the rows
> are variables and the columns are cases (ex., people), and
> the cell entries are scores of the cases on the variables.
> In Q-mode the factors are clusters of people for a set of
> variables. Q-mode is used to establish the factional
> composition of a group on a set of issues at a given point
> in time.
>
>        The Q-mode has the special problem of negative factor
> loadings. In conventional factor analysis of variables, a
> negative loading indicates a negative relation of the
> variable to the factor. In Q-mode factor analysis, a
> negative loading does not have a clear meaning. One common
> approach is to consider all cases with negative loadings as
> being in a cluster of their own. Some researchers consider
> Q-mode factor analysis suspect due to negative loadings, the
> possibility of singularities (columns with the same values),
> and ranking problems. Most researchers prefer to use a more
> accepted technique, such as some form of cluster analysis.
> ------------------------------------------------------
>
> But I don't think this is what Neil was talking about.  The
> following is from David Clark-Carter's book (reference given
> below), in a section called "Techniques to Measure Meaning"
> (p. 97):
>
> "Q-methodology is an approach to research which was devised
> by Stephenson (1953). It requires participants or judges to
> rate statements or other elements on a given dimension or on
> a given basis.  One technique which Q-methodology employs is
> getting participants to perform Q-sorts. Typically a Q-sort
> involves participants being presented with a set of
> statements, each on an individual card, and being asked to
> place those statements on a dimension, such as /very
> important to me/ to /not imporant to me/." etc
>
> Clark-Carter refers to Kerlinger (1973), and says that
> "[Carl] Rogers (1951, 1961) has used Q-sorts in the context
> of counselling."
>
> Here's the Clark-Carter book info:
>
> Clark-Carter, D. (1997). Doing quantitative psychological
> research: From design to report. East Hove, Sussex:
> Psychological Press.
>
> Cheers,
> Bruce
> -- 
> Bruce Weaver
> [EMAIL PROTECTED]
> www.angelfire.com/wv/bwhomedir/
>
> .
> .
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