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Multilevel modeling using Mplus

Finch, W. Holmes.

Multilevel modeling using Mplus

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Multilevel modeling using Mplus/ W. Holmes Finch, Jocelyn E. Bolin.
作者:	Finch, W. Holmes.
其他作者:	Bolin, Jocelyn E.
出版者:	Boca Raton, FL :CRC Press, : c2017.,
面頁冊數:	1 online resource (336 p.) :ill. :
標題:	Multilevel models (Statistics) -
電子資源:	https://www.taylorfrancis.com/books/9781315165882
ISBN:	9781315165882

Multilevel modeling using Mplus
Finch, W. Holmes.

Multilevel modeling using Mplus[electronic resource] /W. Holmes Finch, Jocelyn E. Bolin. - 1st ed. - Boca Raton, FL :CRC Press,c2017. - 1 online resource (336 p.) :ill. - Chapman & Hall/CRC statistics in the social and behavioral sciences series. - Chapman & Hall/CRC statistics in the social and behavioral sciences series..

Includes bibliographical references (p. 313-314) and index.

This book isdesigned primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focusis on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.

ISBN: 9781315165882

Standard No.: 10.1201/9781315165882doiSubjects--Topical Terms:

676820
Multilevel models (Statistics)

LC Class. No.: QA278 / .F563 2017

Dewey Class. No.: 519.535

Multilevel modeling using Mplus
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300 $a 1 online resource (336 p.) : $b ill.
490 1 $a Chapman & Hall/CRC statistics in the social and behavioral sciences series
504 $a Includes bibliographical references (p. 313-314) and index.
520 3 $a This book isdesigned primarily for upper level undergraduate and graduate level students taking a course in multilevel modelling and/or statistical modelling with a large multilevel modelling component. The focusis on presenting the theory and practice of major multilevel modelling techniques in a variety of contexts, using Mplus as the software tool, and demonstrating the various functions available for these analyses in Mplus, which is widely used by researchers in various fields, including most of the social sciences. In particular, Mplus offers users a wide array of tools for latent variable modelling, including for multilevel data.
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