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Stephen W. Raudenbush

Stephen W. Raudenbush

D-Index & Metrics

Social Sciences and Humanities

D-Index
83
Citations
101349
World Ranking
292
National Ranking
132

Research.com Recognitions

  • 2012 - Member of the National Academy of Sciences
  • 2008 - Fellow of the American Educational Research Association
  • 2006 - Distinguished Contributions to Research in Education Award, American Educational Research Association
  • 2004 - Palmer O. Johnson Memorial Award, American Educational Research Association
  • 2001 - Fellow of the American Academy of Arts and Sciences
  • 1994 - Early Career Award, American Educational Research Association

Overview

Stephen W. Raudenbush is affiliated with the University of Chicago in the United States. Their research primarily spans the fields of Social Sciences and Mathematics, with notable contributions in Education and Statistics and Probability. Subfields of their work include Developmental and Educational Psychology, Artificial Intelligence, and Clinical Psychology.

The scientist's research topics cover a variety of areas, including:

  • School Choice and Performance
  • Statistical Methods and Bayesian Inference
  • Advanced Causal Inference Techniques
  • Language Development and Disorders
  • Family and Disability Support Research
  • Reading and Literacy Development
  • Cognitive and developmental aspects of mathematical skills

Recent publications authored or co-authored by Stephen W. Raudenbush include:

  • Randomized Experiments in Education, with Implications for Multilevel Causal Inference (2020), published in Annual Review of Statistics and Its Application
  • Effects of Time-Varying Parent Input on Children's Language Outcomes Differ for Vocabulary and Syntax (2021), published in Psychological Science
  • Longitudinally adaptive assessment and instruction increase numerical skills of preschool children (2020), published in Proceedings of the National Academy of Sciences
  • Effects of double-dose algebra on college persistence and degree attainment (2021), published in Proceedings of the National Academy of Sciences
  • Maximum Likelihood Estimation of Hierarchical Linear Models from Incomplete Data: Random Coefficients, Statistical Interactions, and Measurement Error (2023), published in Journal of Computational and Graphical Statistics

The venues where their research is most frequently published include:

  • Proceedings of the National Academy of Sciences
  • Annual Review of Statistics and Its Application
  • Psychological Science
  • Journal of Computational and Graphical Statistics
  • Behavioural Public Policy

Frequent collaborators with whom Stephen W. Raudenbush has worked are:

  • Susan Goldin-Meadow
  • Yongyun Shin
  • Daniel Schwartz
  • Catriona Silvey
  • Özlem Ece Demir-Lira

The scientist has received several awards, highlighting their involvement and recognition in the educational research community. These awards include:

  • Member of the National Academy of Sciences (2012)
  • Fellow of the American Educational Research Association (2008)
  • Distinguished Contributions to Research in Education Award, American Educational Research Association (2006)
  • Palmer O. Johnson Memorial Award, American Educational Research Association (2004)
  • Fellow of the American Academy of Arts and Sciences (2001)
  • Early Career Award, American Educational Research Association (1994)

Best Publications

  • Hierarchical Linear Models: Applications and Data Analysis Methods.

    Nicholas T. Longford;Anthony S. Bryk;Stephen W. Raudenbush

  • Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy

    Robert J. Sampson;Stephen W. Raudenbush;Felton James Earls

  • Systematic Social Observation of Public Spaces: A New Look at Disorder in Urban Neighborhoods

    Robert J. Sampson;Stephen W. Raudenbush

  • Neighborhood inequality, collective efficacy, and the spatial dynamics of urban violence

    Jeffrey D. Morenoff;Robert J. Sampson;Stephen W. Raudenbush

  • Application of Hierarchical Linear Models to Assessing Change

    Anthony S. Bryk;Stephen W. Raudenbush

  • Seeing Disorder: Neighborhood Stigma and the Social Construction of Broken Windows

    Robert J. Sampson;Stephen W. Raudenbush

  • Relationship Between Urban Sprawl and Physical Activity, Obesity, and Morbidity

    Reid Ewing;Tom Schmid;Richard Killingsworth;Amy Zlot

  • Resources, Instruction, and Research:

    David K. Cohen;Stephen W. Raudenbush;Deborah Loewenberg Ball

  • 'Ecometrics': Toward A Science of Assessing Ecological Settings, with Application to the Systematic Social Observation of Neighborhoods

    Stephen W. Raudenbush;Robert J. Sampson

  • Social anatomy of racial and ethnic disparities in violence.

    Robert J. Sampson;Jeffrey D. Morenoff;Stephen W. Raudenbush

  • A Hierarchical Model for Studying School Effects

    Stephen Raudenbush;Anthony S. Bryk

  • Contextual Effects on the Self-Perceived Efficacy of High School Teachers.

    Stephen W. Raudenbush;Brian Rowan;Yuk Fai Cheong

  • HLM 5 : Hierarchical Linear and Nonlinear Modeling

    Stephen Raudenbush;Raudenbush;Yuk Fai Cheong;Anthony Bryk

  • Statistical analysis and optimal design for cluster randomized trials

    Stephen W. Raudenbush

  • A multivariate hierarchical model for studying psychological change within married couples.

    Stephen W. Raudenbush;Robert T. Brennan;Rosalind C. Barnett

  • Statistical power and optimal design for multisite randomized trials.

    Stephen W. Raudenbush;Xiaofeng Liu

  • Assessing Exposure to Violence in Urban Youth

    Mary Beth Selner-O'Hagan;Daniel J. Kindlon;Stephen L. Buka;Stephen W. Raudenbush

  • Random effects models.

    Stephen W. Raudenbush

  • Durable effects of concentrated disadvantage on verbal ability among African-American children

    Robert J. Sampson;Patrick Sharkey;Stephen W. Raudenbush

  • The Estimation of School Effects

    Stephen W. Raudenbush;J. Douglas Willms

  • Summarizing Evidence: Crusaders for Simplicity@@@Methods of Meta-Analysis: Correcting Error and Bias in Research Findings

    Stephen W. Raudenbush;John E. Hunter;Frank L. Schmidt

Frequent Co-Authors

Robert J. Sampson
Robert J. Sampson Harvard University
Anthony S. Bryk
Anthony S. Bryk University of Chicago
Sean F. Reardon
Sean F. Reardon Stanford University
Brian Rowan
Brian Rowan University of Michigan–Ann Arbor
Susanna Loeb
Susanna Loeb Brown University
Robert T. Brennan
Robert T. Brennan Boston College
Felton Earls
Felton Earls Harvard University
Rosalind C. Barnett
Rosalind C. Barnett Brandeis University
Grover J. Whitehurst
Grover J. Whitehurst Stony Brook University
Susan Goldin-Meadow
Susan Goldin-Meadow University of Chicago

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