Challenges in Nonlinear Structural Equation Modeling
By Polina Dimitruk, K. Schermelleh-Engel, Augustin Kelava, Helfried Moosbrugger. 2007
113 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/31b4177bb51aaa4616f2b111ce2f9237b037a2f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- S. Diestel
- K. Schmidt
- Robert J. Vandenberg
- Augustin Kelava
- Shruti Sardeshmukh
- K. Schermelleh-Engel
- Yue Ma
- Dieter Zapf
In Statistics and Probability
- K. Schmidt
- S. Diestel
- Robert J. Vandenberg
- Augustin Kelava
- Shruti Sardeshmukh
- K. Schermelleh-Engel
- Dieter Zapf
- Helfried Moosbrugger
Citations in the corpus
- Advanced Nonlinear Latent Variable Modeling: Distribution Analytic LMS and QML Estimators of Interaction and Quadratic Effects (2011, methodology): “Customer-related social stressors were measured by 27 items, mostly taken from Dormann and Zapf (2004). Three correlated subscales, Customer Aggression (9 items), Customer Coordination Problems (15 items), and Disliked Customers (3 items), were used as indicators of the latent predictor, customer-re”
- Integrating Moderation and Mediation (2016, background): “parallels between Edwards and Lambert’s (2007) and Hayes’s (2013) approach and attempt to introduce the LMS procedure in the organizational literature.”
- 12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, unknown): “Simulation studies indicate that these methods perform well relative to methods that involve product indicators discussed in the preceding paragraph (Dimitruk, Schermelleh‐Engel, Kelava, & Moosbrugger, 2007 ; Klein & Moosbrugger, 2000 ; Klein & Muthen, 2007 ; Lee, Song, & Poon, 2004 ; Schermelle”
- Mediator and moderator effects of demands on self-control in the relationship between work load and indicators of job strain (2009, methodology): “Alternatively, the log-likelihood difference test (D-2LL; Dimitruk et al., 2007) validates the improvement in model fit of the moderated SEM in comparison to a linear SEM without interaction terms.”