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Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach

  • Correa J
  • Kneib T
  • Ospina R
  • et al.
The Quantitative Methods for Psychology (2023) 19(4) 333-346
DOI: 10.20982/tqmp.19.4.p333
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Abstract

This paper provides a tutorial for analyzing psychological research data with GAMLSS, an R package that uses the family of generalized additive models for location, scale, and shape …

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Correa, J. C., Kneib, T., Ospina, R., Tejada, J., & Marmolejo-Ramos, F. (2023). Assessing Potential Heteroscedasticity in Psychological Data: A GAMLSS approach. The Quantitative Methods for Psychology, 19(4), 333–346. https://doi.org/10.20982/tqmp.19.4.p333

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