Jean-Paul Fox

Statistics and Probability · 2001–2016

A researcher in the Science corpus: 8 papers; trusts 20 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it; #5,666 of 12,932 by trust here, #5,481 by citations
• Management Science and Operations Research — 16 citations into it; #4,508 of 11,946 by trust here, #5,092 by citations
• Sociology and Political Science — 11 citations into it
• Information Systems and Management — 9 citations into it; #3,124 of 3,842 by trust here, #3,555 by citations
• Social Psychology — 9 citations into it
• Marketing — 8 citations into it; #4,188 of 6,289 by trust here, #4,531 by citations
• Developmental and Educational Psychology — 7 citations into it
• Experimental and Cognitive Psychology — 7 citations into it

Whom Jean-Paul Fox trusts overall

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

1. W. D. Linden
2. Alan E. Gelfand
3. John K. Kruschke
4. Andrew Gelman
5. Harvey Goldstein
6. Valen E. Johnson
7. Marco Perugini
8. Stuart Geman
9. Cees A. W. Glas
10. V. Linden

Who trusts Jean-Paul Fox overall

1. S. Depaoli
2. Paul-Christian Burkner
3. Sophia Rabe-Hesketh
4. Kenneth Benoit
5. A. Skrondal
6. B. Muthén
7. Jorge L. Bazán
8. James P. Clifton
9. Vincent Kieftenbeld
10. Drew Conway

Papers from Jean-Paul Fox's perspective

Ordered by how strongly the researchers Jean-Paul Fox trusts endorse each paper. Same corpus, a different order for every researcher.

1. A lognormal model for response times on test items
2. Conceptual Issues in Response-Time Modeling.
3. Multilevel analysis : an introduction to basic and advanced multilevel modeling
4. Bayesian data analysis.
5. Development and Calibration of an Item Response Model That Incorporates Response Time
6. Interventions Promoting Educators’ Use of Data: Research Insights and Gaps (Teachers College Record)
7. A Perfect Time for Data Use: Using Data-Driven Decision Making to Inform Practice
8. Inside the Black Box: Raising Standards through Classroom Assessment
9. Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
10. A Multistate District-Level Cluster Randomized Trial of the Impact of Data-Driven Reform on Reading and Mathematics Achievement

Their papers

• Bayesian modeling of measurement error in predictor variables using item response theory (2003) — 136 citations
• Reducing Social Desirability Bias through Item Randomized Response: An Application to Measure Underreported Desires (2010) — 172 citations
• IRT Parameter Estimation With Response Times as Collateral Information (2010) — 129 citations
• Assessing the Effects of a School-Wide Data-Based Decision-Making Intervention on Student Achievement Growth in Primary Schools (2016) — 179 citations
• Bayesian Item Response Modeling (2010) — 404 citations
• Bayesian Item Response Modeling: Theory and Applications (2010) — 448 citations
• Relaxing Measurement Invariance in Cross-National Consumer Research Using a Hierarchical IRT Model (2007) — 200 citations
• Bayesian estimation of a multilevel IRT model using gibbs sampling (2001) — 411 citations