Structural equation modeling : applications using Mplus /
Saved in:
Author / Creator: | Wang, Jichuan, author. |
---|---|
Edition: | Second edition. |
Imprint: | Hoboken, NJ : Wiley, 2020. ©2020 |
Description: | 1 online resource (x, 512 pages) |
Language: | English |
Series: | Wiley series in probability and statistics |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/13677132 |
MARC
LEADER | 00000cam a2200000 i 4500 | ||
---|---|---|---|
001 | 13677132 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 191006t20202020nju ob 001 0 eng | ||
005 | 20241126143027.7 | ||
010 | |a 2019024453 | ||
020 | |a 9781119422723 |q (electronic publication) | ||
020 | |a 1119422728 |q (electronic publication) | ||
020 | |a 9781119422716 |q (electronic book) | ||
020 | |a 111942271X |q (electronic book) | ||
020 | |a 9781119422730 |q (electronic book) | ||
020 | |a 1119422736 |q (electronic book) | ||
020 | |z 9781119422709 |q (hardcover) | ||
035 | 9 | |a (OCLCCM-CC)1123181408 | |
035 | |a (OCoLC)1123181408 | ||
037 | |a 9781119422709 |b O'Reilly Media | ||
040 | |a DLC |b eng |e rda |e pn |c DLC |d OCLCO |d N$T |d OCLCF |d DG1 |d SNM |d YDX |d CDN |d OCLCQ |d DLC |d OCLCO |d OCLCQ |d ORMDA |d OCLCQ |d VLB |d OCLCO |d OCLCL | ||
042 | |a pcc | ||
049 | |a MAIN | ||
050 | 4 | |a QA278.3 |b .W36 2020 | |
100 | 1 | |a Wang, Jichuan, |e author. |0 http://id.loc.gov/authorities/names/n2011071028 | |
245 | 1 | 0 | |a Structural equation modeling : |b applications using Mplus / |c Jichuan Wang, Xiaoqian Wang. |
250 | |a Second edition. | ||
264 | 1 | |a Hoboken, NJ : |b Wiley, |c 2020. | |
264 | 4 | |c ©2020 | |
300 | |a 1 online resource (x, 512 pages) | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 0 | |a Wiley series in probability and statistics | |
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 | ||
588 | 0 | |a Online resource; title from digital title page (viewed on January 10, 2020). | |
630 | 0 | 0 | |a Mplus. |0 http://id.loc.gov/authorities/names/n2011042550 |
630 | 0 | 7 | |a Mplus |2 fast |
650 | 0 | |a Structural equation modeling |x Data processing. | |
650 | 0 | |a Multivariate analysis |x Data processing. | |
650 | 0 | |a Social sciences |x Statistical methods |x Data processing. | |
650 | 6 | |a Modèles d'équations structurales |x Informatique. | |
650 | 6 | |a Analyse multivariée |x Informatique. | |
650 | 6 | |a Sciences sociales |x Méthodes statistiques |x Informatique. | |
650 | 7 | |a Multivariate analysis |x Data processing |2 fast | |
650 | 7 | |a Social sciences |x Statistical methods |x Data processing |2 fast | |
700 | 1 | |a Wang, Xiaoqian, |e author. |0 http://id.loc.gov/authorities/names/n2012037436 | |
758 | |i has work: |a Structural equation modeling (Text) |1 https://id.oclc.org/worldcat/entity/E39PCFDWxbXttBwkvpkddTPhHC |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
776 | 0 | 8 | |i Print version: |a Wang, Jichuan. |t Structural equation modeling. |b 2 edition. |d Hoboken, NJ : Wiley, 2020 |z 9781119422709 |w (DLC) 2019024452 |
856 | 4 | 0 | |u https://go.oreilly.com/uchicago/library/view/-/9781119422709/?ar |y O'Reilly |
929 | |a oclccm | ||
999 | f | f | |s a9115296-eaf1-41e9-ad63-b8e4cc6986c7 |i e10c4800-3c32-434d-9b84-d37d6d2e46ec |
928 | |t Library of Congress classification |a QA278.3.W36 2020 |l Online |c UC-FullText |u https://go.oreilly.com/uchicago/library/view/-/9781119422709/?ar |z O'Reilly |g ebooks |i 13820074 |