Andrew Tomarken

Statistics and Probability · 2005–2007

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 26 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 23 citations into it; #2,663 of 12,932 by trust here, #3,330 by citations
• Management Science and Operations Research — 12 citations into it; #1,774 of 11,946 by trust here, #2,873 by citations
• Computer Networks and Communications — 7 citations into it
• Artificial Intelligence — 6 citations into it
• Experimental and Cognitive Psychology — 5 citations into it

Whom Andrew Tomarken trusts overall

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

1. Craig K. Enders
2. G. R. Hancock
3. Melanie M. Wall
4. R. Maccallum
5. Xitao Fan
6. Bradley Efron
7. Rachel T. Fouladi
8. Joseph L. Schafer
9. Scott L. Hershberger
10. P. Allison

Who trusts Andrew Tomarken overall

1. Mike W.-L. Cheung
2. M. Wong
3. E. Charney
4. Veysel Yilmaz
5. Ian Adams
6. Herman Aguinis
7. C. Bergomi
8. Sheila B. Frankfurt
9. Petru Lucian Curseu
10. Alex M. Wood

Papers from Andrew Tomarken's perspective

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

1. Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
2. Missing data: our view of the state of the art. (Psychological methods)
3. INFERENCE AND MISSING DATA
4. Analysis of Incomplete Multivariate Data (Technometrics)
5. A comparison of inclusive and restrictive strategies in modern missing data procedures. (Psychological methods)
6. Applications of structural equation modeling in psychological research. (Annual Review of Psychology)
7. In Search of Golden Rules: Comment on Hypothesis-Testing Approaches to Setting Cutoff Values for Fit Indexes and Dangers in Overgeneralizing Hu and Bentler's (1999) Findings
8. Adding Missing-Data-Relevant Variables to FIML-Based Structural Equation Models
9. Latent Growth Modeling of Longitudinal Data: A Finite Growth Mixture Modeling Approach
10. Statistical Analysis With Missing Data

Their papers

• Structural equation modeling: strengths, limitations, and misconceptions. (2005) — 906 citations
• Frontal brain asymmetry and emotional reactivity: a biological substrate of affective style. (2007) — 667 citations