Statistics#
h/t to Victoria Guazzelli Williamson for curating the list of resources below, gathered during the 2021 ABCD Workshop.
Statistical control#
Statistical Control Requires Causal Justification https://osf.io/38mxq/
Meaningful effects#
Meaningful Associations in the Adolescent Brain Cognitive Development Study: https://www.biorxiv.org/content/10.1101/2020.09.01.276451v2
Funder & Ozer 2019 https://journals.sagepub.com/doi/full/10.1177/2515245919847202
Validity#
Borsboom, Mellenbergh, Van Heerden - 2004 - The concept of validity https://doi.org/10.1037/0033-295X.111.4.1061
Construct Validation in Social and Personality Research: Current Practice and Recommendations https://doi.org/10.1177/1948550617693063
Latent variables#
Worse Than Measurement Error: Consequences of Inappropriate Latent Variable Measurement Models 10.1037/met0000220
Latent Change Score models https://www.sciencedirect.com/science/article/pii/S187892931730021X
Stratifying/splitting samples#
Data splitting tutorial https://topepo.github.io/caret/data-splitting.html
Stratified sampling tutorial: https://towardsdatascience.com/stratified-sampling-and-how-to-perform-it-in-r-8b753efde1ef
Model selection#
Overview paper (suggested by Sara Weston) on cross-lagged-panel-models (different types): https://psycnet.apa.org/fulltext/2020-54836-001.pdf
ri-CLPM
Papers to understand:
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. P. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102–116. https://doi.org/10.1037/a0038889
Mulder, J. D., & Hamaker, E. L. (2020). Three extensions of the random intercept cross-lagged panel model. Structural Equation Modeling. https://doi.org/10.1080/10705511.2020.1784738
Code (R/MPlus) to try it out:
Miscellaneous#
Tong - 2019 - Statistical Inference Enables Bad Science Statistical Thinking Enables Good Science: 10.1080/00031305.2018.1518264
The Quantitude Podcast https://quantitudethepodcast.org/listen/