Gitta H. Lubke

Statistics and Probability · 2003–2007

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 70 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 16 citations into it; #593 of 12,932 by trust here, #845 by citations
• Artificial Intelligence — 9 citations into it; #3,122 of 35,345 by trust here, #8,525 by citations
• Computer Networks and Communications — 6 citations into it; #977 of 9,886 by trust here, #1,422 by citations
• Experimental and Cognitive Psychology — 6 citations into it; #7,541 of 9,731 by trust here, #6,373 by citations

Whom Gitta H. Lubke trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. B. Muthén
2. Jeroen K. Vermunt
3. P. Deb
4. Richard D. Gonzalez
5. Jay Magidson
6. Yungtai Lo
7. Tenko Raykov
8. George A. Marcoulides
9. Conor V. Dolan
10. L. Muthén

Who trusts Gitta H. Lubke overall

1. Alexandre J. S. Morin
2. J. Peugh
3. Leslie Rutkowski
4. John P. Meyer
5. Herbert W. Marsh
6. Daniel A. Sass
7. Karen Nylund-Gibson
8. Eldad Davidov
9. Dubravka Svetina
10. Jeffrey Alan Greene

Papers from Gitta H. Lubke's perspective

Ordered by how strongly the researchers Gitta H. Lubke trusts endorse each paper. Same corpus, a different order for every researcher.

1. Categorical Data Analysis
2. Latent Variable Analysis: Growth Mixture Modeling and Related Techniques for Longitudinal Data
3. Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (Psychological methods)
4. Latent class models for clustering : a comparison with K-means
5. Testing the number of components in a normal mixture
6. Latent Variable Analysis With Categorical Outcomes : Multiple-Group And Growth Modeling In Mplus
7. Latent Variable Mixture Modeling
8. A new look at the statistical model identification
9. Can Unequal Residual Variances Across Groups Mask Differences in Residual Means in the Common Factor Model?
10. Latent Class Models

Their papers

• Investigating population heterogeneity with factor mixture models. (2005) — 1,123 citations
• Can Unequal Residual Variances Across Groups Mask Differences in Residual Means in the Common Factor Model? (2003) — 60 citations
• Applying Multigroup Confirmatory Factor Models for Continuous Outcomes to Likert Scale Data Complicates Meaningful Group Comparisons (2004) — 524 citations
• On the relationship between sources of within- and between-group differences and measurement invariance in the common factor model (2003) — 127 citations
• Performance of Factor Mixture Models as a Function of Model Size, Covariate Effects, and Class-Specific Parameters. (2007) — 411 citations