Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety-Reference-Cited by-同舟云学术

Modeling Interactions Between Latent Variables in Research on Type D Personality: A Monte Carlo Simulation and Clinical Study of Depression and Anxiety

Published:2019-04-12 Issue:5 Volume:54 Page:637-665
ISSN:0027-3171
Container-title:Multivariate Behavioral Research
language:en
Short-container-title:Multivariate Behavioral Research

Author:

Lodder Paul¹²^ORCID,Denollet Johan¹^ORCID,Emons Wilco H. M.²^ORCID,Nefs Giesje¹^ORCID,Pouwer Frans³⁴^ORCID,Speight Jane⁵⁶⁷^ORCID,Wicherts Jelte M.²^ORCID

Affiliation:

1. CoRPS-Center of Research on Psychology in Somatic diseases, Department of Medical and Clinical Psychology, Tilburg University, The Netherlands;

2. Department of Methodology and Statistics, Tilburg University, The Netherlands;

3. Department of Psychology, University of Southern Denmark, Denmark;

4. STENO Diabetes Center Odense, Odense, Denmark;

5. School of Psychology, Deakin University, Geelong, Australia;

6. The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Melbourne, Australia;

7. AHP Research, Hornchurch, UK

Funder

Consolidator Grant (IMPROVE) from the European Research Council (ERC

Publisher

Informa UK Limited

Subject

Arts and Humanities (miscellaneous),Experimental and Cognitive Psychology,General Medicine,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/00273171.2018.1562863

Reference80 articles.

1. The Sensitivity of Confirmatory Maximum Likelihood Factor Analysis to Violations of Measurement Scale and Distributional Assumptions

2. Structural Equations with Latent Variables

3. Bootstrapping Goodness-of-Fit Measures in Structural Equation Models

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