| LDR | | 00000cam u2200205 a 4500 |
| 001 | | 000014029159 |
| 005 | | 20221108131937 |
| 008 | | 221107s2020 nju b 001 0 eng d |
| 010 | |
▼a 2019024452 |
| 020 | |
▼a 9781119422709
▼q (hardback) :
▼c $96.95 |
| 035 | |
▼a (KERIS)BIB000015442637 |
| 040 | |
▼a 211009
▼c 211009
▼d 224010 |
| 050 | 00 |
▼a QA278.3
▼b .W36 2020 |
| 082 | 00 |
▼a 519.5/3
▼2 23 |
| 090 | |
▼a 519.53
▼b W24sw2 |
| 100 | 1 |
▼a Wang, Jichuan. |
| 245 | 10 |
▼a Structural equation modeling:
▼b applications using Mplus /
▼c Jichuan Wang, Xiaoqian Wang. |
| 250 | |
▼a 2nd ed. |
| 260 | |
▼a Hoboken, NJ:
▼b Wiley,
▼c 2020. |
| 300 | |
▼a x, 512 p. ;
▼c 24 cm. |
| 490 | 1 |
▼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. |
| 630 | 00 |
▼a Mplus. |
| 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. |
| 700 | 1 |
▼a Wang, Xiaoqian. |
| 830 | 0 |
▼a Wiley series in probability and statistics. |