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Psychology

D-Index
37
Citations
6582
World Ranking
9142
National Ranking
4846

Overview

John Ruscio is affiliated with the College of New Jersey in the United States. Their research spans multiple areas within psychology and social sciences, with a focus on experimental, clinical, and cognitive psychology subfields, as well as aspects of management science, sociology, and political science.

Their recent publications include a range of studies in peer-reviewed journals. These are:

  • "Asking People to Explain Complex Policies Does Not Increase Political Moderation: Three Preregistered Failures to Closely Replicate Fernbach, Rogers, Fox, and Sloman's (2013) Findings" (2021, Psychological Science)
  • "The comparison data forest: A new comparison data approach to determine the number of factors in exploratory factor analysis" (2023, Behavior Research Methods)
  • "Reexamining the latent structure of suicidal thoughts using taxometric analysis: Implications for testing ideation to action theoretical models of suicidal thoughts and behavior" (2021, Psychological Assessment)
  • "Performing Small-Telescopes Analysis by Resampling: Empirically Constructing Confidence Intervals and Estimating Statistical Power for Measures of Effect Size" (2024, Advances in Methods and Practices in Psychological Science)

The frequent coauthors collaborating with John Ruscio are:

  • Jarret T. Crawford
  • David Goretzko
  • Andy P. Siddaway
  • Jill M. Holm-Denoma
  • Tracy K. Witte

John Ruscio's work is commonly published in the following journals:

  • Behavior Research Methods
  • Psychological Science
  • Psychological Assessment
  • Advances in Methods and Practices in Psychological Science

The primary fields of study they contribute to include:

  • Psychology
  • Social Sciences

The subfields of study covered in their research are:

  • Experimental and Cognitive Psychology
  • Clinical Psychology
  • Management Science and Operations Research
  • Sociology and Political Science
  • Political Science and International Relations

The main research topics addressed in their work include:

  • Mental Health Research Topics
  • Psychometric Methodologies and Testing
  • Cognitive Abilities and Testing
  • Social and Intergroup Psychology
  • Electoral Systems and Political Participation
  • Social Media and Politics
  • Suicide and Self-Harm Studies

Best Publications

  • A taxometric analysis of the latent structure of psychopathy: evidence for dimensionality.

    Jean-Pierre Guay;John Ruscio;Raymond A. Knight;Robert D. Hare

  • The latent structure of posttraumatic stress disorder: A taxometric investigation of reactions to extreme stress.

    Ayelet Meron Ruscio;John Ruscio;Terence M. Keane

  • Introduction to the Taxometric Method: A Practical Guide

    John Ruscio;Nick Haslam;Ayelet Meron Ruscio

  • Informing the continuity controversy: a taxometric analysis of depression.

    John Ruscio;Ayelet Meron Ruscio

  • Looking Inside the Fishbowl of Creativity: Verbal and Behavioral Predictors of Creative Performance

    John Ruscio;Dean M. Whitney;Teresa M. Amabile

  • A Taxometric Investigation of the Latent Structure of Worry

    Ayelet Meron Ruscio;T. D. Borkovec;John Ruscio

  • Creativity in Context

    Unknown

  • Applying the Bootstrap to Taxometric Analysis: Generating Empirical Sampling Distributions to Help Interpret Results.

    John Ruscio;Ayelet Meron Ruscio;Mati Meron

  • The latent structure of analogue depression: should the Beck Depression Inventory be used to classify groups?

    Ayelet Meron Ruscio;John Ruscio

  • Comparing the relative fit of categorical and dimensional latent variable models using consistency tests.

    John Ruscio;Glenn D. Walters;David K. Marcus;Walter Kaczetow

  • Clarifying boundary issues in psychopathology: the role of taxometrics in a comprehensive program of structural research.

    John Ruscio;Ayelet Meron Ruscio

  • Taxometric Analysis: An Empirically Grounded Approach to Implementing the Method

    John Ruscio

  • Using taxometric analysis to distinguish a small latent taxon from a latent dimension with positively skewed indicators: The case of involuntary defeat syndrome

    John Ruscio;Ayelet Meron Ruscio;Terence M. Keane

  • Detecting small taxa using simulated comparison data : A reanalysis of beach, amir, and bau's (2005) data

    John Ruscio;David K. Marcus

  • A structure-based approach to psychological assessment: matching measurement models to latent structure.

    John Ruscio;Ayelet Meron Ruscio

  • TAXOMETRIC EVIDENCE FOR THE DIMENSIONAL STRUCTURE OF CLUSTER-C, PARANOID, AND BORDERLINE PERSONALITY DISORDERS

    Arnoud Arntz;David Bernstein;Dominique Gielen;Myrthe van Nieuwenhuyzen

  • Categories and Dimensions Advancing Psychological Science Through the Study of Latent Structure

    John Ruscio;Ayelet Meron Ruscio

  • Administering Quizzes at Random To Increase Students' Reading.

    John Ruscio

  • A Nontechnical Introduction to the Taxometric Method

    John Ruscio;Ayelet Meron Ruscio

  • To sum or not to sum: Taxometric analysis with ordered categorical assessment items.

    Glenn D. Walters;John Ruscio

  • Performing Taxometric Analysis to Distinguish Categorical and Dimensional Variables.

    John Ruscio;Ayelet Meron Ruscio;Lauren M. Carney

Frequent Co-Authors

Ayelet Meron Ruscio
Ayelet Meron Ruscio University of Pennsylvania
Nick Haslam
Nick Haslam University of Melbourne
Glenn D. Walters
Glenn D. Walters Kutztown University
Scott O. Lilienfeld
Scott O. Lilienfeld Emory University
Steven Jay Lynn
Steven Jay Lynn Binghamton University
Jarret T. Crawford
Jarret T. Crawford College of New Jersey
Teresa M. Amabile
Teresa M. Amabile Harvard University
David K. Marcus
David K. Marcus Washington State University
Robert D. Hare
Robert D. Hare University of British Columbia
Raymond A. Knight
Raymond A. Knight Brandeis University

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