Repeated measures correlation

JZ Bakdash, LR Marusich - Frontiers in psychology, 2017 - frontiersin.org
Repeated measures correlation (rmcorr) is a statistical technique for determining the
common within-individual association for paired measures assessed on two or more …

Bayesian hierarchical models of cognition.

JN Rouder, RD Morey, MS Pratte - 2017 - psycnet.apa.org
In this chapter we present such an alterative: hierarchical modeling. In a hierarchical model,
variability from the process of interest, as well as from nuisance sources such as from …

Exploration and generalization in vast spaces

CM Wu, E Schulz, M Speekenbrink, JD Nelson… - bioRxiv, 2017 - biorxiv.org
Foraging for food, developing new medicines, and learning complex games are search
problems with vast numbers of possible actions. Yet, under real-world time or resource …

Abrupt strategy change underlies gradual performance change: Bayesian hierarchical models of component and aggregate strategy use.

SKA Wynton, J Anglim - Journal of Experimental Psychology …, 2017 - psycnet.apa.org
While researchers have often sought to understand the learning curve in terms of multiple
component processes, few studies have measured and mathematically modeled these …

[图书][B] Fractional Recall: Understanding Forgetting of Mathematics Learning from Computer Assisted Instruction Data and Implications for Personalized Learning in …

R Tibbles - 2017 - search.proquest.com
Recent work in forgetting and spacing of learning across long time scales suggests that
which has been learned is easily forgotten. In order to be able to prevent this forgetting from …

Developing a drawing task to differentiate group average time course vs. dynamics in the individual

C Blech, R Gaschler - Psychology Learning & Teaching, 2017 - journals.sagepub.com
Teaching and theorizing in psychology has long been torn between targeting general
underlying principles by observing dynamics in the individual or focusing on average …