Julien Morizot
Statistics and Probability · 2007–2011
A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 38 citations into it
- Artificial Intelligence — 28 citations into it
- Organizational Behavior and Human Resource Management — 22 citations into it; #3,724 of 8,741 by trust here, #4,498 by citations
- Management Science and Operations Research — 17 citations into it; #4,748 of 11,946 by trust here, #2,957 by citations
- Experimental and Cognitive Psychology — 15 citations into it; #3,192 of 9,731 by trust here, #3,227 by citations
- Clinical Psychology — 12 citations into it; #7,915 of 8,024 by trust here, #5,058 by citations
- Computer Networks and Communications — 9 citations into it
- Genetics — 9 citations into it
Whom Julien Morizot trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- B. Muthén
- Daniel J. Bauer
- P. Deb
- R. Mcdonald
- Gitta H. Lubke
- Chih-Chien Yang
- Stan Lipovetsky
- John R. Hipp
- Roderick J. A. Little
- Jay Magidson
Who trusts Julien Morizot overall
- Alexandre J. S. Morin
- P. Jonason
- Gregory D. Webster
- Jessica Sharkness
- S. Reise
- John P. Meyer
- Ante Glavas
- Linda T. DeAngelo
- J. Wombacher
- Michael D. Toland
Papers from Julien Morizot's perspective
Ordered by how strongly the researchers Julien Morizot trusts endorse each paper. Same corpus, a different order for every researcher.
- Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
- Finite Mixture Models
- Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
- Statistical and substantive checking in growth mixture modeling: comment on Bauer and Curran (2003). (Psychological methods)
- Latent Class Models
- Investigating population heterogeneity with factor mixture models. (Psychological methods)
- Integrating person-centered and variable-centered analyses: growth mixture modeling with latent trajectory classes. (Alcoholism: Clinical and Experimental Research)
- Latent class models for clustering : a comparison with K-means
- BEYOND SEM: GENERAL LATENT VARIABLE MODELING
- Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
Their papers
- A Multifoci Person-Centered Perspective on Workplace Affective Commitment: A Latent Profile/Factor Mixture Analysis (2011) — 423 citations
- The role of the bifactor model in resolving dimensionality issues in health outcomes measures (2007) — 770 citations
- General Growth Mixture Analysis of Adolescents' Developmental Trajectories of Anxiety: The Impact of Untested Invariance Assumptions on Substantive Interpretations (2011) — 226 citations
- School Engagement Trajectories and Their Differential Predictive Relations to Dropout (2008) — 482 citations
- Toward modern psychometrics: Application of item response theory models in personality research. (2007) — 143 citations