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LDR01654nmm uu200421 4500
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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438285934
035 ▼a (MiAaPQ)AAI10830190
035 ▼a (MiAaPQ)asu:18097
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 371
1001 ▼a Xu, Yuning.
24510 ▼a Assessing Measurement Invariance and Latent Mean Differences with Bifactor Multidimensional Data in Structural Equation Modeling.
260 ▼a [S.l.] : ▼b Arizona State University., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 100 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: A.
500 ▼a Adviser: Samuel Green.
5021 ▼a Thesis (Ph.D.)--Arizona State University, 2018.
520 ▼a Investigation of measurement invariance (MI) commonly assumes correct specification of dimensionality across multiple groups. Although research shows that violation of the dimensionality assumption can cause bias in model parameter estimation fo
590 ▼a School code: 0010.
650 4 ▼a Educational tests & measurements.
650 4 ▼a Quantitative psychology.
650 4 ▼a Statistics.
690 ▼a 0288
690 ▼a 0632
690 ▼a 0463
71020 ▼a Arizona State University. ▼b Educational Psychology.
7730 ▼t Dissertation Abstracts International ▼g 79-12A(E).
773 ▼t Dissertation Abstract International
790 ▼a 0010
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999403 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자