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Analysis of questionnaire data with R

Falissard, Bruno.

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Analysis of questionnaire data with R

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of questionnaire data with R/ Bruno Falissard.
作者:	Falissard, Bruno.
出版者:	Boca Raton, FL :CRC Press, : ©2011.,
面頁冊數:	1 online resource (ix, 269 p.) :ill.
內容註:	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.
標題:	Questionnaires - Data processing. -
電子資源:	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:

2090244
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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100 1 $a Falissard, Bruno. $3 2090243
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 2090244
650 0 $a R (Computer program language) $3 784593
856 4 0 $u http://www.crcnetbase.com/doi/book/10.1201/b11190