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D-Index & Metrics

Social Sciences and Humanities

D-Index
54
Citations
66448
World Ranking
2070
National Ranking
993

Overview

Robert C. MacCallum is affiliated with the University of North Carolina at Chapel Hill in the United States. Their scholarly contributions span research primarily disseminated through the UNC Libraries publication venue.

Their recent research includes a notable paper titled "Chronic stress and age-related increases in the proinflammatory cytokine IL-6", published in 2020. This work has attracted academic attention, as reflected in its citation count.

Throughout their research career, MacCallum has collaborated with several coauthors, establishing a pattern of joint work with the following individuals:

  • J. K. Kiecolt-Glaser
  • K. J. Preacher
  • C. Atkinson
  • W. B. Malarkey
  • R. Glaser

The collaboration network suggests a focus on interdisciplinary and potentially clinical or biomedical topics related to stress and inflammation, inferred from the subject matter of their recent publication.

While specific main fields and subfields of study are not detailed, the available publication and coauthor information indicate a research trajectory centered around immunology, stress physiology, and age-related inflammatory processes.

MacCallum's academic output includes contributions to established research repositories associated with their institutional affiliation, providing access to primary scholarly communication.

Best Publications

  • Power analysis and determination of sample size for covariance structure modeling.

    Robert C. MacCallum;Michael W. Browne;Hazuki M. Sugawara

  • Evaluating the use of exploratory factor analysis in psychological research.

    Leandre R. Fabrigar;Duane T. Wegener;Robert C. MacCallum;Erin J. Strahan

  • Sample size in factor analysis.

    Robert C. MacCallum;Keith F. Widaman;Shaobo Zhang;Sehee Hong

  • On the Practice of Dichotomization of Quantitative Variables

    Robert C. MacCallum;Shaobo Zhang;Kristopher J. Preacher;Derek D. Rucker

  • Applications of Structural Equation Modeling in Psychological Research

    Robert C. MacCallum;James T. Austin

  • THE APPLICATION OF EXPLORATORY FACTOR ANALYSIS IN APPLIED PSYCHOLOGY: A CRITICAL REVIEW AND ANALYSIS

    J. Kevin Ford;Robert C. MacCALLUM;Marianne Tait

  • Model modifications in covariance structure analysis: the problem of capitalization on chance.

    Robert C. MacCallum;Mary Roznowski;Lawrence B. Necowitz

  • Chronic stress and age-related increases in the proinflammatory cytokine IL-6.

    Janice K. Kiecolt-Glaser;Kristopher J. Preacher;Robert C. MacCallum;Cathie Atkinson

  • Sample size in factor analysis: The role of model error

    Robert C. MacCallum;Keith F. Widaman;Kristopher J. Preacher;Sehee Hong

  • The use of causal indicators in covariance structure models: some practical issues.

    Robert C. MacCallum;Michael W. Browne

  • SPECIFICATION SEARCHES IN COVARIANCE STRUCTURE MODELING

    Robert MacCallum

  • The problem of equivalent models in applications of covariance structure analysis.

    Robert C. MacCallum;Duane T. Wegener;Bert N. Uchino;Leandre R. Fabrigar

  • Use of the extreme groups approach: a critical reexamination and new recommendations.

    Kristopher J. Preacher;Derek D. Rucker;Robert C. MacCallum;W. Alan Nicewander

  • Psychological influences on surgical recovery. Perspectives from psychoneuroimmunology.

    Janice K. Kiecolt-Glaser;Gayle G. Page;Phillip T. Marucha;Robert C. MacCallum

  • Using Parcels to Convert Path Analysis Models Into Latent Variable Models.

    Donna L. Coffman;Robert C. MacCallum

  • Stress and Immune Responses After Surgical Treatment for Regional Breast Cancer

    Barbara L. Andersen;William B. Farrar;Deanna Golden-Kreutz;Leigh Ann Kutz

  • Power Analysis in Covariance Structure Modeling Using GFI and AGFI.

    Robert C. MacCallum;Sehee Hong

  • Exploratory factor analysis in behavior genetics research: Factor recovery with small sample sizes

    Kristopher J. Preacher;Robert C. MacCallum

  • Studying Multivariate Change Using Multilevel Models and Latent Curve Models.

    Robert C. MacCallum;Cheongtag Kim;William B. Malarkey;Janice K. Kiecolt-Glaser

  • Distinguishing Optimism From Pessimism in Older Adults: Is It More Important to Be Optimistic or Not to Be Pessimistic?

    Susan Robinson-Whelen;Cheongtag Kim;Robert C. MacCallum;Janice K. Kiecolt-Glaser

Frequent Co-Authors

Janice K. Kiecolt-Glaser
Janice K. Kiecolt-Glaser The Ohio State University
Ronald Glaser
Ronald Glaser The Ohio State University
Kristopher J. Preacher
Kristopher J. Preacher Vanderbilt University
Keith F. Widaman
Keith F. Widaman University of California, Riverside
Leandre R. Fabrigar
Leandre R. Fabrigar Queen's University
Duane T. Wegener
Duane T. Wegener The Ohio State University
John T. Cacioppo
John T. Cacioppo University of Chicago
Barbara L. Andersen
Barbara L. Andersen The Ohio State University
J. Kevin Ford
J. Kevin Ford Michigan State University
Scott M. Hofer
Scott M. Hofer University of Victoria

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