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Structural equation modeling : = app...

Wang, Xiaoqian.

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Structural equation modeling : = applications using Mplus /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Structural equation modeling :/ Jichuan Wang, Xiaoqian Wang.
其他題名:	applications using Mplus /
作者:	Wang, Jichuan
其他作者:	Wang, Xiaoqian.
出版者:	Hoboken, NJ :Wiley, : c2020.,
面頁冊數:	x, 512 p. :ill. ;24 cm.
內容註:	Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling.
標題:	Structural equation modeling - Data processing. -
ISBN:	9781119422709

Structural equation modeling : = applications using Mplus /
Wang, Jichuan

Structural equation modeling :applications using Mplus /Jichuan Wang, Xiaoqian Wang. - 2 ed. - Hoboken, NJ :Wiley,c2020. - x, 512 p. :ill. ;24 cm. - Wiley series in probability and statistics. - Wiley series in probability and statistics..

Includes bibliographical references and index.

Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling.

Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"--

ISBN: 9781119422709USD90.00

LCCN: 2019024452Subjects--Uniform Titles:

Mplus.
Subjects--Topical Terms:

783097
Structural equation modeling
--Data processing.

LC Class. No.: QA278.3 / .W36 2020

Dewey Class. No.: 519.5/3

Structural equation modeling : = applications using Mplus /
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245 1 0 $a Structural equation modeling : $b applications using Mplus / $c Jichuan Wang, Xiaoqian Wang.
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260 # $a Hoboken, NJ : $b Wiley, $c c2020.
300 $a x, 512 p. : $b ill. ; $c 24 cm.
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504 $a Includes bibliographical references and index.
505 0 # $a Confirmatory factor analysis -- Structural equation model -- Latent growth models (LGM) for longitudinal data analysis -- Multi-group modeling -- Mixture modeling -- Sample size for structural equation modeling.
520 # $a Discusses and demonstrates various SEM models using both cross-sectional and longitudinal data with both continuous and categorical outcomes. Explores different methods for sample size estimate and statistical power analysis for SEM. By following the examples provided in this second edition, readers will be able to build their own SEM models using Mplus. Teachers, graduate students, and researchers in social sciences and health studies will also benefit from this book"-- $c Provided by publisher.
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650 # 0 $a Structural equation modeling $x Data processing. $3 783097
650 # 0 $a Multivariate analysis $x Data processing. $3 677684
650 # 0 $a Social sciences $x Statistical methods $x Data processing. $3 560158
700 1 # $a Wang, Xiaoqian. $3 1642883
830 0 $a Wiley series in probability and statistics. $3 1275543