Richard Correnti

Education · 2002–2017

A researcher in the Science corpus: 9 papers; trusts 26 researchers and is trusted by 32 researchers here, as inferred from the citation graph.

Subfields

• Education — 77 citations into it; #801 of 11,309 by trust here, #890 by citations
• Developmental and Educational Psychology — 39 citations into it; #2,120 of 8,223 by trust here, #3,615 by citations
• Statistics and Probability — 19 citations into it
• Experimental and Cognitive Psychology — 16 citations into it
• Language and Linguistics — 10 citations into it
• Information Systems and Management — 9 citations into it; #928 of 3,842 by trust here, #616 by citations
• Artificial Intelligence — 7 citations into it
• Safety Research — 7 citations into it

Whom Richard Correnti trusts overall

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

1. Guido W. Imbens
2. Paul R. Rosenbaum
3. Guanglei Hong
4. Donald B. Rubin
5. Keying Ye
6. J. Peugh
7. Brian Rowan
8. Keisuke Hirano
9. Kosuke Imai
10. Stephen Raudenbush

Who trusts Richard Correnti overall

1. Guanglei Hong
2. J. Carlisle
3. Sarah Archibald
4. M. Wallace
5. Ben Kelcey
6. Pam Grossman
7. Daniel F McCaffrey
8. Patricia F. Vadasy
9. Avishag Reisman
10. J. R. Lockwood

Papers from Richard Correnti's perspective

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

1. The central role of the propensity score in observational studies for causal effects
2. The Role of the Propensity Score in Estimating Dose-Response Functions
3. Statistics and Causal Inference
4. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
5. INFERENCE AND MISSING DATA
6. Observational Studies
7. Effects of Kindergarten Retention Policy on Children’s Cognitive Growth in Reading and Mathematics
8. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
9. Mathematical Knowledge for Teaching and the Mathematical Quality of Instruction: An Exploratory Study
10. Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data

Their papers

• Exploration of the contribution of teachers’ knowledge about reading to their students’ improvement in reading (2009) — 108 citations
• Using Teacher Logs to Measure the Enacted Curriculum: A Study of Literacy Teaching in Third‐Grade Classrooms (2004) — 147 citations
• Examining Relations between Mathematics Teachers’ Instructional Vision and Knowledge and Change in Practice (2017) — 50 citations
• The Nature of Feedback: How Peer Feedback Features Affect Students' Implementation Rate and Quality of Revisions. (2016) — 157 citations
• Children's Motivation toward Science across Contexts, Manner of Interaction, and Topic. (2014) — 107 citations
• Investigating the Effectiveness of a Comprehensive Literacy Coaching Program in Schools with High Teacher Mobility (2010) — 102 citations
• An Empirical Investigation of Professional Development Effects on Literacy Instruction Using Daily Logs (2007) — 90 citations
• Opening Up the Black Box: Literacy Instruction in Schools Participating in Three Comprehensive School Reform Programs (2007) — 137 citations
• What Large-Scale, Survey Research Tells Us about Teacher Effects on Student Achievement: Insights from the Prospects Study of Elementary Schools (2002) — 315 citations