Mijke Rhemtulla
Experimental and Cognitive Psychology · 2012–2021
A researcher in the Science corpus: 10 papers; trusts 46 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Experimental and Cognitive Psychology — 74 citations into it; #3,679 of 9,731 by trust here, #5,054 by citations
- Statistics and Probability — 55 citations into it; #3,305 of 12,932 by trust here, #1,728 by citations
- Clinical Psychology — 42 citations into it
- Management Science and Operations Research — 40 citations into it; #2,080 of 11,946 by trust here, #1,128 by citations
- Cognitive Neuroscience — 37 citations into it; #4,416 of 10,852 by trust here, #6,360 by citations
- Computer Networks and Communications — 32 citations into it
- Social Psychology — 26 citations into it; #11,227 of 15,694 by trust here, #12,701 by citations
- Applied Psychology — 23 citations into it
Whom Mijke Rhemtulla trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Craig K. Enders
- C. Distefano
- Stan Lipovetsky
- J. Graham
- Yves Rosseel
- Albert Maydeu-Olivares
- T. Little
- David B. Flora
- Joseph L. Schafer
- André Beauducel
Who trusts Mijke Rhemtulla overall
- David B. Flora
- Carl F. Falk
- Sacha Epskamp
- Ronny Scherer
- Paul T. von Hippel
- Dexin Shi
- R. van de Schoot
- Cheng-Hsien Li
- Eiko I. Fried
- K. Gogół
Papers from Mijke Rhemtulla's perspective
Ordered by how strongly the researchers Mijke Rhemtulla trusts endorse each paper. Same corpus, a different order for every researcher.
- Analysis of Incomplete Multivariate Data (Technometrics)
- Missing data: our view of the state of the art. (Psychological methods)
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- R: A language and environment for statistical computing.
- Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
- The Impact of Categorization With Confirmatory Factor Analysis
- Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models
- On the Performance of Maximum Likelihood Versus Means and Variance Adjusted Weighted Least Squares Estimation in CFA
- The Effects of Item Parceling on Goodness-of-Fit and Parameter Estimate Bias in Structural Equation Modeling
- Item factor analysis: current approaches and future directions. (Psychological methods)
Their papers
- When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. (2012) — 2,457 citations
- Planned Missing Data Designs for Developmental Researchers (2013) — 284 citations
- On Obtaining Estimates of the Fraction of Missing Information From Full Information Maximum Likelihood (2012) — 72 citations
- Generalized Network Psychometrics: Combining Network and Latent Variable Models (2016) — 518 citations
- Multilevel and longitudinal modeling (2014) — 209 citations
- Network analysis of multivariate data in psychological science (2021) — 1,105 citations
- Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits (2018) — 608 citations
- Development of Indirect Measures of Conscientiousness: Combining a Facets Approach and Network Analysis (2015) — 124 citations
- Planned missing designs to optimize the efficiency of latent growth parameter estimates (2014) — 48 citations
- Why the Items versus Parcels Controversy Needn’t Be One (2013) — 1,546 citations