S. Haberman

Management Science and Operations Research · 2005–2013

A researcher in the Science corpus: 8 papers; trusts 21 researchers and is trusted by 17 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 19 citations into it; #1,349 of 11,946 by trust here, #4,921 by citations
• Statistics and Probability — 16 citations into it; #5,029 of 12,932 by trust here, #5,661 by citations
• Computer Networks and Communications — 9 citations into it; #5,701 of 9,886 by trust here, #6,788 by citations

Whom S. Haberman trusts overall

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

1. Hirotugu Akaike
2. R. Fisher
3. Halbert White
4. M. Reckase
5. S. Schilling
6. Paul Holland
7. Gene H. Golub
8. Lihua Yao
9. R. D. Bock
10. A. Béguin

Who trusts S. Haberman overall

1. Sandip Sinharay
2. S. Reise
3. Anthony Rodriguez
4. R. V. D. Lans
5. Mark G. Haviland
6. Katherine Muenks
7. Gautam Puhan
8. Wes Bonifay
9. Matthias von Davier
10. W. van de Grift

Papers from S. Haberman's perspective

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

1. Theory of Statistical Estimation
2. Augmented Scores-"Borrowing Strength" to Compute Scores Based on Small Numbers ofltems
3. Multidimensional Item Response Theory
4. High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature
5. A Multidimensional Item Response Modeling Approach for Improving Subscale Proficiency Estimation and Classification
6. Using Multidimensional Item Response Theory to Evaluate Educational and Psychological Tests
7. Student Test Score Reports and Interpretive Guides: Review of Current Practices and Suggestions for Future Research
8. WHEN CAN SUBSCORES HAVE VALUE
9. MCMC estimation and some model-fit analysis of multidimensional IRT models
10. Subscores Based on Classical Test Theory: To Report or Not to Report

Their papers

• When Can Subscores Have Value? (2008) — 192 citations
• WHEN CAN SUBSCORES HAVE VALUE (2005) — 59 citations
• COMPARISON OF MULTIDIMENSIONAL ITEM RESPONSE MODELS: MULTIVARIATE NORMAL ABILITY DISTRIBUTIONS VERSUS MULTIVARIATE POLYTOMOUS ABILITY DISTRIBUTIONS (2008) — 75 citations
• Subscores Based on Classical Test Theory: To Report or Not to Report (2007) — 93 citations
• A GENERAL PROGRAM FOR ITEM‐RESPONSE ANALYSIS THAT EMPLOYS THE STABILIZED NEWTON–RAPHSON ALGORITHM (2013) — 47 citations
• An NCME Instructional Module on Subscores (2011) — 90 citations
• Reporting of Subscores Using Multidimensional Item Response Theory (2010) — 97 citations
• LINKING PARAMETER ESTIMATES DERIVED FROM AN ITEM RESPONSE MODEL THROUGH SEPARATE CALIBRATIONS (2009) — 74 citations