Literature DB >> 26789940

A Necessary and Sufficient Identification Rule for Structural Models Estimated in Practice.

E E Rigdon.   

Abstract

This article presents a straightforward classification system that is a necessary and sufficient condition for identification of the structural component of structural equation models of the type most commonly estimated - block-recursive models with no more than two equations per block. The technique is graphical and thus does not require actual estimation of the model in question. The article also reviews the limitations of other identification techniques, including econometric and information matrix techniques, when applied to these models.

Year:  1995        PMID: 26789940     DOI: 10.1207/s15327906mbr3003_4

Source DB:  PubMed          Journal:  Multivariate Behav Res        ISSN: 0027-3171            Impact factor:   5.923


  8 in total

1.  Structural equation modeling in the context of clinical research.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2017-03

2.  Bayesian latent variable models for the analysis of experimental psychology data.

Authors:  Edgar C Merkle; Ting Wang
Journal:  Psychon Bull Rev       Date:  2018-02

3.  Psychometric Properties of the Smartphone Distraction Scale in Chinese College Students: Validity, Reliability and Influencing Factors.

Authors:  Xueyang Zhao; Ting Hu; Guiyuan Qiao; Chaoyang Li; Man Wu; Fen Yang; Jing Zhou
Journal:  Front Psychiatry       Date:  2022-06-16       Impact factor: 5.435

4.  Measuring patient safety culture in Taiwan using the Hospital Survey on Patient Safety Culture (HSOPSC).

Authors:  I-Chi Chen; Hung-Hui Li
Journal:  BMC Health Serv Res       Date:  2010-06-07       Impact factor: 2.655

5.  Factor structure and measurement invariance of the problematic mobile phone use questionnaire-short version across gender in Chinese adolescents and young adults.

Authors:  Ying-Ying Wang; Jiang Long; Yue-Heng Liu; Tie-Qiao Liu; Joël Billieux
Journal:  BMC Psychiatry       Date:  2020-01-30       Impact factor: 3.630

6.  Psychometric Properties of the Chinese SUPPS-P Impulsive Behavior Scale: Factor Structure and Measurement Invariance Across Gender and Age.

Authors:  Yingying Wang; Jiang Long; Yueheng Liu; Tieqiao Liu; Joël Billieux
Journal:  Front Psychiatry       Date:  2020-11-19       Impact factor: 4.157

7.  Impact of the Gap Between Social Workers' Work Interaction Frequency With Governments and Clients on Their Burnout in China: Mediating Effects of Role Conflict and Moderating Effects of Non-front-line Work.

Authors:  Jie Wang; Zimin Tan; Jiajun Li; Qiang Wu
Journal:  Front Public Health       Date:  2022-06-03

8.  How Does Prior Knowledge Influence Learning Engagement? The Mediating Roles of Cognitive Load and Help-Seeking.

Authors:  Anmei Dong; Morris Siu-Yung Jong; Ronnel B King
Journal:  Front Psychol       Date:  2020-10-29
  8 in total

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