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Analysis of questionnaire data with R

Falissard, Bruno.

Analysis of questionnaire data with R

Record Type:	Electronic resources : Monograph/item
Title/Author:	Analysis of questionnaire data with RBruno Falissard.
Author:	Falissard, Bruno.
Published:	Boca Raton, FL :CRC Press,©2011.
Description:	1 online resource (ix, 269 p.) :ill.
Subject:	QuestionnairesData processing.
Online resource:	http://www.crcnetbase.com/doi/book/10.1201/b11190
ISBN:	1439817677 (electronic bk.)

Analysis of questionnaire data with R
Falissard, Bruno.

Analysis of questionnaire data with R[electronic resource] /Bruno Falissard. - Boca Raton, FL :CRC Press,©2011. - 1 online resource (ix, 269 p.) :ill.

Includes bibliographical references and index.

1. Introduction -- 2. Description of responses -- 3. Description of relationships between variables -- 4. Confidence intervals and statistical tests of hypothesis -- 5. Introduction to linear, logistic, poisson, and other regression models -- 6. About statistical modelling -- 7. Principles for the validation of a composite score -- 8. Introduction to structural equation modelling -- 9. Introduction to data manipulation using R.

ISBN: 1439817677 (electronic bk.)Subjects--Topical Terms:

697149
Questionnaires
--Data processing.

LC Class. No.: QA276.45.R3 / F35 2011

Dewey Class. No.: 001.4/33

Analysis of questionnaire data with R
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020 $a 1439817677 (electronic bk.)
020 $a 9781439817674 (electronic bk.)
020 $z 9781439817667 (hardcover : alk. paper)
020 $z 1439817669 (hardcover : alk. paper)
035 $a (OCoLC)760056419 $z (OCoLC)809075303
035 $a ocn760056419
040 $a YDXCP $b eng $e pn $c YDXCP $d E7B $d N $d GZM $d OTZ $d EBLCP $d DEBSZ $d OCLCQ $d CRCPR $d OCLCQ
050 4 $a QA276.45.R3 $b F35 2011
082 0 4 $a 001.4/33 $2 23
100 1 $a Falissard, Bruno. $3 697148
245 1 0 $a Analysis of questionnaire data with R $h [electronic resource] / $c Bruno Falissard.
260 $a Boca Raton, FL : $b CRC Press, $c ©2011.
300 $a 1 online resource (ix, 269 p.) : $b ill.
504 $a Includes bibliographical references and index.
505 0 $a 1. Introduction -- 2. Description of responses -- 3. Description of relationships between variables -- 4. Confidence intervals and statistical tests of hypothesis -- 5. Introduction to linear, logistic, poisson, and other regression models -- 6. About statistical modelling -- 7. Principles for the validation of a composite score -- 8. Introduction to structural equation modelling -- 9. Introduction to data manipulation using R.
650 0 $a Questionnaires $x Data processing. $3 697149
650 0 $a R (Computer program language) $3 210846
856 4 0 $u http://www.crcnetbase.com/doi/book/10.1201/b11190