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Investigating the analytical robustness of the social and behavioural sciences featured image

Investigating the analytical robustness of the social and behavioural sciences

The same dataset can be analysed in different justifiable ways to answer the same research question, potentially challenging the robustness of empirical science. In this crowd …

balazs-aczel
Comparing training window selection methods for prediction in non-stationary time series featured image

Comparing training window selection methods for prediction in non-stationary time series

The widespread adoption of smartphones creates the possibility to passively monitor everyday behaviour via sensors. Sensor data have been linked to moment-to-moment psychological …

fridtjof-petersen
BayesPower: A General Application of Power and Sample Size Calculation for the Bayes Factor featured image

BayesPower: A General Application of Power and Sample Size Calculation for the Bayes Factor

BayesPower is an R package with a user-friendly Shiny interface for conducting sample size determination, power calculation, and Bayes factor calculation in the context of …

tsz-keung-wong
Mobile Screen Time and Bilingual Children’s Dual Language Learning featured image

Mobile Screen Time and Bilingual Children’s Dual Language Learning

This study investigates how the quantity and quality of digital media use influence the language outcomes of bilingual children in Singapore. The sample includes 140 children aged …

he-sun
Null hypothesis testing, estimation, and prediction: The prior predictive paradox featured image

Null hypothesis testing, estimation, and prediction: The prior predictive paradox

In this paper we focus on null hypothesis Bayesian testing and the so-called Bayes factor for the independent samples $t$-test. The JZS Bayes factor (Rouder et al., 2009) is …

jorge-n.-tendeiro

Diagnosing the Misuse of the Bayes Factor in Applied Research

jorge-n.-tendeiro