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Applications and Case Studies Discussion

Modeling and Learning From Variation and Covariation

ORCID Icon, ORCID Icon &
Pages 1627-1630 | Received 20 Jul 2022, Accepted 21 Aug 2022, Published online: 03 Jan 2023

References

  • De Boeck, P., DeKay, M., and Xu, M. (2022), “The Potential of Factor Analysis for Replication, Generalization, and Integration,” Journal of the American Statistical Association, this issue, DOI: 10.1080/01621459.2022.2096618.
  • DeKay, M. L., Rubinchik, N., Li, Z., and De Boeck, P. (2022), “Accelerating Psychological Science with Metastudies: A Demonstration using the Risky-Choice Framing Effect,” Perspectives on Psychological Science, forthcoming. DOI: 10.1177/17456916221079611.
  • Jost, J. T., Glaser, J., Kruglanski, A. W., and Sulloway, F. J. (2003), “Political Conservatism as Motivated Social Cognition,” Psychological Bulletin, 129, 339–375. DOI: 10.1037/0033-2909.129.3.339.
  • McShane, B. B., Böckenholt, U., and Hansen, K. T. (2022), “Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability,” Journal of the American Statistical Association, this issue, DOI: 10.1080/01621459.2022.2054816.
  • Rosenthal, R. (1990), “Replication in Behavioral Research,” Journal of Social Behavior and Personality, 5, 1–30.

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