Leslie Rutkowski
Statistics and Probability · 2010–2020
A researcher in the Science corpus: 6 papers; trusts 30 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 30 citations into it
- Management Science and Operations Research — 29 citations into it; #3,773 of 11,946 by trust here, #5,092 by citations
- Computer Networks and Communications — 18 citations into it
- Food Science — 10 citations into it
- Economics and Econometrics — 8 citations into it
- Organizational Behavior and Human Resource Management — 6 citations into it
- Artificial Intelligence — 5 citations into it
Whom Leslie Rutkowski trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- F. Chen
- Gitta H. Lubke
- Gordon W. Cheung
- R. Millsap
- Brian French
- B. Muthén
- Roger B. Rensvold
- Kenneth A. Bollen
- Robert E. Ployhart
- Joseph L. Schafer
Who trusts Leslie Rutkowski overall
- Deana Desa
- Jia He
- D. Putnick
- Diana Boer
- E. S. Kim
- Dubravka Svetina
- Marc H. Bornstein
- Chunhua Cao
- Katja Hanke
- Fabián Barrera-Pedemonte
Papers from Leslie Rutkowski's perspective
Ordered by how strongly the researchers Leslie Rutkowski trusts endorse each paper. Same corpus, a different order for every researcher.
- A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
- Categorical Data Analysis
- Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
- Latent Variable Analysis With Categorical Outcomes : Multiple-Group And Growth Modeling In Mplus
- Item Response Theory for Psychologists
- Can Unequal Residual Variances Across Groups Mask Differences in Residual Means in the Common Factor Model?
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- Analysis of Incomplete Multivariate Data (Technometrics)
- Missing data
- Linear Mixed Models for Longitudinal Data (Technometrics)
Their papers
- Assessing the Hypothesis of Measurement Invariance in the Context of Large-Scale International Surveys (2014) — 667 citations
- Measurement Invariance in International Surveys: Categorical Indicators and Fit Measure Performance (2017) — 192 citations
- Multiple-Group Invariance with Categorical Outcomes Using Updated Guidelines: An Illustration Using Mplus and the lavaan/semTools Packages (2020) — 386 citations
- Measuring Socioeconomic Background in PISA: One Size Might not Fit all (2013) — 112 citations
- Handbook of International Large-Scale Assessment : Background, Technical Issues, and Methods of Data Analysis (2013) — 213 citations
- International Large-Scale Assessment Data (2010) — 278 citations