Andre A. Rupp

Management Science and Operations Research · 2004–2013

A researcher in the Science corpus: 12 papers; trusts 46 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 56 citations into it; #3,135 of 11,946 by trust here, #4,430 by citations
• Statistics and Probability — 44 citations into it; #3,671 of 12,932 by trust here, #3,255 by citations
• Computer Networks and Communications — 28 citations into it; #4,735 of 9,886 by trust here, #7,832 by citations
• Developmental and Educational Psychology — 27 citations into it; #4,698 of 8,223 by trust here, #3,264 by citations
• Education — 18 citations into it; #6,443 of 11,309 by trust here, #6,058 by citations
• Artificial Intelligence — 14 citations into it
• Experimental and Cognitive Psychology — 13 citations into it
• Social Psychology — 8 citations into it; #2,780 of 15,694 by trust here, #3,658 by citations

Whom Andre A. Rupp trusts overall

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

1. Jimmy de la Torre
2. Sarah M. Hartz
3. Klaas Sijtsma
4. Rob R. Meijer
5. Christine E. DeMars
6. George Karabatsos
7. S. Lynch
8. Brian W. Junker
9. Jonathan Templin
10. J. Douglas

Who trusts Andre A. Rupp overall

1. L. DeCarlo
2. Gongjun Xu
3. J. Grace
4. Laine Bradshaw
5. Ying Cui
6. S. Depaoli
7. Yanlou Liu
8. Patricia A. Jennings
9. Andrew Izsák
10. Jonathan Templin

Papers from Andre A. Rupp's perspective

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

1. Estimating the Dimension of a Model
2. Sampling-Based Approaches to Calculating Marginal Densities
3. Item Response Theory
4. Item Response Theory for Psychologists
5. The person response function as a tool in person-fit research
6. Bayesian analysis of binary and polychotomous response data
7. Higher-order latent trait models for cognitive diagnosis
8. A Bayesian framework for the unified model for assessing cognitive abilities: Blending theory with practicality.
9. Cognitive Assessment Models with Few Assumptions, and Connections with Nonparametric Item Response Theory
10. A Multidimensional Item Response Modeling Approach for Improving Subscale Proficiency Estimation and Classification

Their papers

• To Bayes or Not to Bayes, From Whether to When: Applications of Bayesian Methodology to Modeling (2004) — 150 citations
• A Meta‐analysis for Exploring the Diverse Causes and Effects of Stress in Teachers (2005) — 709 citations
• The Effects of Q-Matrix Misspecification on Parameter Estimates and Classification Accuracy in the DINA Model (2008) — 242 citations
• Unique Characteristics of Diagnostic Classification Models: A Comprehensive Review of the Current State-of-the-Art (2008) — 334 citations
• A Systematic Review of the Methodology for Person Fit Research in Item Response Theory: Lessons about Generalizability of Inferences from the Design of Simulation Studies (2013) — 93 citations
• The Impact of Model Misspecification on Parameter Estimation and Item‐Fit Assessment in Log‐Linear Diagnostic Classification Models (2012) — 135 citations
• Analysis of Multivariate Social Science Data (2nd ed.) (2011) — 109 citations
• Diagnostic Measurement: Theory, Methods, and Applications (2010) — 611 citations
• Growth in reading skills of children from diverse linguistic backgrounds : Findings from a 5-year longitudinal study (2007) — 302 citations
• A Synthesis of 15 Years of Research on DIF in Language Testing: Methodological Advances, Challenges, and Recommendations (2007) — 113 citations
• Understanding Parameter Invariance in Unidimensional IRT Models (2006) — 113 citations
• How assessing reading comprehension with multiple-choice questions shapes the construct: a cognitive processing perspective (2006) — 253 citations