Karen Nylund-Gibson
Statistics and Probability · 2013–2019
A researcher in the Science corpus: 5 papers; trusts 28 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 49 citations into it; #4,780 of 12,932 by trust here, #7,914 by citations
- Artificial Intelligence — 33 citations into it; #13,385 of 35,345 by trust here, #26,682 by citations
- Education — 26 citations into it; #8,200 of 11,309 by trust here, #8,671 by citations
- Developmental and Educational Psychology — 15 citations into it; #5,130 of 8,223 by trust here, #4,815 by citations
- Genetics — 8 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Karen Nylund-Gibson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Katherine E. Masyn
- Jeroen K. Vermunt
- B. Muthén
- Gitta H. Lubke
- Linda M. Collins
- H. Petras
- M. Quirk
- Stephanie T. Lanza
- L. A. Goodman
- Chih-Chien Yang
Who trusts Karen Nylund-Gibson overall
- Sarah Ferguson
- B. Weller
- E. W. G. Moore
- Katherine E. Masyn
- Ryan P. Grimm
- N. Bowen
- D. Hull
- Alexandre J. S. Morin
- Sarah J. Faubert
Papers from Karen Nylund-Gibson's perspective
Ordered by how strongly the researchers Karen Nylund-Gibson trusts endorse each paper. Same corpus, a different order for every researcher.
- Estimating the Dimension of a Model
- Finite Mixture Models
- Latent Class Modeling with Covariates: Two Improved Three-Step Approaches (Political Analysis)
- Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study
- Latent Variable Mixture Modeling
- Testing the number of components in a normal mixture
- General Growth Mixture Analysis with Antecedents and Consequences of Change
- Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators (Political Analysis)
- Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
- Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences
Their papers
- Covariates and Mixture Modeling: Results of a Simulation Study Exploring the Impact of Misspecified Effects on Class Enumeration (2016) — 266 citations
- Prediction from Latent Classes: A Demonstration of Different Approaches to Include Distal Outcomes in Mixture Models (2019) — 391 citations
- Ten Frequently Asked Questions About Latent Class Analysis (2018) — 1,916 citations
- A Latent Transition Mixture Model Using the Three-Step Specification (2014) — 363 citations
- Exploring patterns of Latino/a children's school readiness at kindergarten entry and their relations with Grade 2 achievement (2013) — 90 citations