An important step when designing an empirical study is to justify the sample size that will be
collected. The key aim of a sample size justification for such studies is to explain how the …

Cognitive load theory has been in development since the 1980s. Much of the impetus for
that development has come from firstly, replication failures using randomised controlled …

Although the lack of conceptual clarity has been observed to be a widespread and
fundamental problem in psychology, conceptual clarification plays a mostly marginal role in …

Understanding the recommendations of an artificial intelligence (AI) based assistant for
decision-making is especially important in high-risk tasks, such as deciding whether a …

Path models to test claims about mediation and moderation are a staple of psychology. But
applied researchers may sometimes not understand the underlying causal inference …

Human activities are causing climate change and severely degrading ecosystems resulting
in biodiversity loss unprecedented for millions of years (IPBES, 2019; IPCC, 2018) …

Is acquiring a third language the same as acquiring a second? Are all instances of non-
native language acquisition simply one and the same? In this first book-length study of the …

This article maps political rhetoric by national leaders during the COVID‐19 pandemic. We
identify and characterize global variations in major rhetorical storylines invoked in publicly …

Abstract Analysis of secondary data sources (such as cohort studies, survey data, and
administrative records) has the potential to provide answers to science and society's most …

In Fried (this issue), I argue that a lot of work in the social sciences generally—and in
psychology specifically—reads like an exercise in statistical model fitting, and falls short of …