Benjamin M. Rottman

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Elemental Causal Learning from Transitions

Kevin Soo, Benjamin M. Rottman, Kevin W Soo, 2015, CogSci.

Temporal Causal Strength Learning with Multiple Causes

Benjamin M. Rottman, Cory Derringer, Cory Derringer, 2016, CogSci.

Politically Motivated Causal Evaluations of Economic Performance

Benjamin M. Rottman, Zachary Caddick, Zachary A. Caddick, 2019, CogSci.

Causal Learning from Trending Time-Series

Kevin Soo, Benjamin M. Rottman, 2018, CogSci.

Switch rates do not influence weighting of rare events in decisions from experience, but optional stopping does

Kevin Soo, Benjamin M. Rottman, Kevin W Soo, 2018 .

Causal Learning With Continuous Variables Over Time

Kevin Soo, Benjamin M. Rottman, 2016, CogSci.

Children Use Temporal Cues to Learn Causal Directionality

Frank C. Keil, Benjamin M. Rottman, Jonathan F. Kominsky, 2014, Cogn. Sci..

Comparing Mediation Inferences and Explaining Away Inferences on Three Variable Causal Structures

Benjamin M. Rottman, Cory Derringer, Cory Derringer, 2018, CogSci.

Motivated Reasoning in Causally Ambiguous Explore-Exploit Situations

Benjamin M. Rottman, Zachary Caddick, 2019, CogSci.

The Accuracy of Causal Learning over 24 Days

Benjamin M. Rottman, Ciara Willett, Ciara Willett, 2019, CogSci.

Do Markov Violations and Failures of Explaining Away Persist with Experience?

Reid Hastie, Benjamin M. Rottman, R. Hastie, 2015, CogSci.

Which Parts of Scientific Explanations are Most Important?

Frank C. Keil, Benjamin M. Rottman, 2011, CogSci.

Learning Causal Direction from Repeated Observations over Time

Frank C. Keil, Benjamin M. Rottman, F. Keil, 2011, CogSci.

Causal Systems Categories: Differences in Novice and Expert Categorization of Causal Phenomena

Dedre Gentner, Micah B. Goldwater, Benjamin M. Rottman, 2012, Cogn. Sci..

Causal Learning From Time Series Graphs

Kevin Soo, Benjamin M. Rottman, Kevin W Soo, 2019 .

Information Search in an Autocorrelated Causal Learning Environment

Benjamin M. Rottman, 2014, CogSci.

Learning Causal Direction from Transitions with Continuous and Noisy Variables

Kevin Soo, Benjamin M. Rottman, Kevin W Soo, 2014, CogSci.

How Causal Mechanism and Autocorrelation Beliefs Inform Information Search

Benjamin M. Rottman, 2015, CogSci.

Informative Transitions: A Heuristic for Conditionalized Causal Strength Learning

Benjamin M. Rottman, Cory Derringer, 2015, CogSci.

Motivated Reasoning in an Explore-Exploit Task

Benjamin M. Rottman, Zachary A. Caddick, 2021, Cogn. Sci..

The Accuracy of Causal Learning Over Long Timeframes: An Ecological Momentary Experiment Approach

Benjamin M. Rottman, Ciara L. Willett, Ciara Willett, 2021, Cogn. Sci..

Investigating causal inference difficulties with a simple, qualitative force-and-motion problem

Timothy J. Nokes-Malach, Benjamin M. Rottman, Eric Kuo, 2021, 2021 Physics Education Research Conference Proceedings.

Do people reason rationally about causally related events? Markov violations, weak inferences, and failures of explaining away

Benjamin M. Rottman, R. Hastie, 2016, Cognitive Psychology.

The Acquisition and Use of Causal Structure Knowledge

Benjamin M. Rottman, 2017 .

Reasoning about causal relationships: Inferences on causal networks.

Benjamin M. Rottman, R. Hastie, 2014, Psychological bulletin.

Causal structure learning over time: Observations and interventions

Benjamin M. Rottman, F. Keil, 2012, Cognitive Psychology.

Connecting Causal Events: Learning Causal Structures Through Repeated Interventions Over Time

Benjamin M. Rottman, F. Keil, 2010 .

How people learn about causal influence when there are many possible causes: A model based on informative transitions

Benjamin M. Rottman, Cory Derringer, 2018, Cognitive Psychology.

Searching for the best cause: Roles of mechanism beliefs, autocorrelation, and exploitation.

Benjamin M. Rottman, 2016, Journal of experimental psychology. Learning, memory, and cognition.

Causal Learning in Time Series Settings With Delay

Benjamin M. Rottman, Kevin W Soo, 2018 .

Effect of grouping of evidence types on learning about interactions between observed and unobserved causes.

Benjamin M. Rottman, W. Ahn, 2011, Journal of experimental psychology. Learning, memory, and cognition.

Medication adherence as a learning process: insights from cognitive psychology

Benjamin M. Rottman, W. Gellad, C. Thorpe, 2017, Health psychology review.

What matters in scientific explanations: Effects of elaboration and content

Frank C. Keil, Benjamin M. Rottman, F. Keil, 2011, Cognition.

Can personality disorder experts recognize DSM-IV personality disorders from five-factor model descriptions of patient cases?

Benjamin M. Rottman, Nancy S. Kim, W. Ahn, 2011, The Journal of clinical psychiatry.

Parental numeric language input to Mandarin Chinese and English speaking preschool children*

Benjamin M. Rottman, C. Sandhofer, Alicia Chang, 2010, Journal of Child Language.

The Cognitive Consequences of Using Categorical versus Dimensional Classification Systems: The Case of Personality Disorder Experts - eScholarship

Benjamin M. Rottman, Nancy S. Kim, W. Ahn, 2009 .

Physician Bayesian updating from personal beliefs about the base rate and likelihood ratio

Benjamin M. Rottman, 2017, Memory & cognition.

Bayesian reasoning in residents’ preliminary diagnoses

Benjamin M. Rottman, Micah T. Prochaska, R. Deaño, 2016, Cognitive research: principles and implications.

Variation in which key motivational and academic resources relate to academic performance disparities across introductory college courses

Benjamin M. Rottman, C. Schunn, E. Votruba-Drzal, 2020 .

Distinguishing causation and correlation: Causal learning from time-series graphs with trends

Benjamin M. Rottman, Kevin W Soo, 2019, Cognition.

Expertise Effects on Sorting Strategies of Causal Phenomena

Benjamin M. Rottman, D. Gentner, 2006 .

How Causal Mechanism and Autocorrelation Beliefs Influence Information Search

Benjamin M. Rottman, 2015 .

Causal Learning With Interrupted Time Series

Benjamin M. Rottman, Yiwen Zhang, 2021 .

Causal Learning with Two Causes over Weeks

Benjamin M. Rottman, Ciara Willett, 2020, CogSci.

Expectancy and Utilisation of Reflexology among Women with Advanced Breast Cancer.

Benjamin M. Rottman, A. Sikorskii, G. Wyatt, 2020, Applied psychology. Health and well-being.

Causal learning about tolerance and sensitization

Benjamin M. Rottman, Woo-Kyoung Ahn, W. Ahn, 2009, Psychonomic bulletin & review.

Can clinicians recognize DSM-IV personality disorders from five-factor model descriptions of patient cases?

Benjamin M. Rottman, Nancy S. Kim, W. Ahn, 2009, The American journal of psychiatry.

The placebo effect: To explore or to exploit?

Benjamin M. Rottman, B. Colagiuri, K. Barnes, 2021, Cognition.

Causal Inference when Observed and Unobserved Causes Interact

Benjamin M. Rottman, W. Ahn, 2009 .

Analytical Assessment of Course Sequencing: The Case of Methodological Courses in Psychology

Benjamin M. Rottman, C. Schunn, E. Votruba-Drzal, 2019, Journal of Educational Psychology.

Do Capuchin Monkeys (Cebus apella) Diagnose Causal Relations in the Absence of a Direct Reward?

Benjamin M. Rottman, Laurie R Santos, B. Edwards, 2014, PloS one.

Pseudoscientific Health Beliefs and the Perceived Frequency of Causal Relationships

Micah B. Goldwater, Benjamin M. Rottman, E. Livesey, 2021, International journal of environmental research and public health.

Physician Bayesian updating from personal beliefs about the base rate and likelihood ratio

Benjamin M. Rottman, 2016, Memory & Cognition.

Causal learning with delays up to 21 hours

Benjamin M. Rottman, Yiwen Zhang, 2023, Psychonomic bulletin & review.

Cognitive perspectives on maintaining physicians’ medical expertise: IV. Best practices and open questions in using testing to enhance learning and retention

Timothy J. Nokes-Malach, Benjamin M. Rottman, Scott H. Fraundorf, 2023, Cognitive Research: Principles and Implications.

Cognitive perspectives on maintaining physicians’ medical expertise: II. Acquiring, maintaining, and updating cognitive skills

Timothy J. Nokes-Malach, Benjamin M. Rottman, Scott H. Fraundorf, 2023, Cognitive Research: Principles and Implications.

Cognitive perspectives on maintaining physicians’ medical expertise: III. Strengths and weaknesses of self-assessment

Timothy J. Nokes-Malach, Benjamin M. Rottman, Scott H. Fraundorf, 2023, Cognitive Research: Principles and Implications.

Cognitive perspectives on maintaining physicians’ medical expertise: I. Reimagining Maintenance of Certification to promote lifelong learning

Timothy J. Nokes-Malach, Benjamin M. Rottman, Scott H. Fraundorf, 2023, Cognitive Research: Principles and Implications.

Investigating the effects of dopaminergic medication and Parkinson’s disease state on neural activation in the left ventral striatum

Benjamin M. Rottman, J. Fiez, Augusta Marie Vincent, 2023 .

How people learn about causal influence when there are many possible causes: A model based on informative transitions

Benjamin M. Rottman, Cory Derringer, 2018, Cognitive Psychology.

A new approach for uncovering student resources with multiple-choice questions

Timothy J. Nokes-Malach, Benjamin M. Rottman, E. Kuo, 2019, 2019 Physics Education Research Conference Proceedings.

Using Causal Networks to Examine Resource Productivity and Coordination in Learning Science

Timothy J. Nokes-Malach, Benjamin M. Rottman, E. Kuo, 2020, ICLS.

Can clinicians recognize DSM-IV personality disorders from five-factor model descriptions of patient cases?

Benjamin M. Rottman, Nancy S. Kim, W. Ahn, 2009, The American journal of psychiatry.

Cognitive perspectives on maintaining physicians’ medical expertise: V. Using a motivational framework to understand the benefits and costs of testing

Timothy J. Nokes-Malach, Benjamin M. Rottman, Scott H. Fraundorf, 2023, Cognitive Research: Principles and Implications.

The effects of mnemonic variability and spacing on memory over multiple timescales.

Benjamin M. Rottman, Vishnu P. Murty, Emily T. Cowan, 2024, Proceedings of the National Academy of Sciences of the United States of America.