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49 lines
2.0 KiB
Plaintext
49 lines
2.0 KiB
Plaintext
8 months ago
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{smcl}
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{* 26jan2004}{...}
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{hline}
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help for {hi:detect}
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{hline}
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{title:DETECT Index}
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{p 8 14 2}{cmd:detect} {it:varlist} {cmd:,} {cmdab:part:ition}({it:numlist}) [{cmdab:nosco:res} {cmdab:norest:scores}]
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{p 4 4 2}{it:varlist} is a list of two existing dichotomous variables (items) or more. The first items of this list compose the first dimension, the following items define the second dimension, as so on.
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{p 4 4 2}{cmd:partition} permit to define the number of items in each dimension. The user must precise in the {it:numlist} the number of items in each dimension.
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{Options}
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{p 4 4 2}{cmd:noscores} permit to remove the table of the correlations between the items and the scores
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{p 4 4 2}{cmd:norestscores} permit to remove the table of the correlations between the items and the rest-scores
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{title:Description}
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{p 4 4 2}{cmd:detect} permit to compute the DETECT index (Dimensionality Evaluation to Enumerate Contributing Traits), as the Iss (Approximate Simple Structure Index) and the R indexes defined by Zhang and Stout (1999).
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{title:Remarks}
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{p 4 4 2}For detailed information on the DETECT, Iss and R indexes, see Zhang and Stout (1999).
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{p 4 4 2}{cmd:detect} don't permit the use of polytomous items.
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{title:Example}
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{cmd:. detect item1 item2 item3 item4 , partition(2 2) nosco norest}
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{cmd:. detect item1 item2 item3 item4 item 5 item6 item7 , partition(3 2 2)}
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{title:References}
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{p 4 4 2}Zhang J. and Stout W., The theorical DETECT index of dimensionality and its application to approximate simple structure, {it: Psychometrika}, vol.64(2), 1999, pp. 213-249.
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{title:Author}
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{p 4 8 2}Jean-Benoit Hardouin, Regional Health Observatory (ORS) - 1, rue Porte Madeleine - BP 2439 - 45032 Orleans Cedex 1 - France.
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You can contact the author at {browse "mailto:jean-benoit.hardouin@neuf.fr":jean-benoit.hardouin@neuf.fr} and visit the websites {browse "http://anaqol.free.fr":AnaQol} and {browse "http://freeirt.free.fr":FreeIRT}
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