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LDR01730nam u200421 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 247004
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 ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033