Resources

This chapter discusses the use of directed acyclic graphs (DAGs) for causal inference in the observational social sciences. It focuses on DAGs’ main uses, discusses central principles, and gives applied examples. DAGs are visual representations of …

The field of psychology, including cognitive science, is vexed by a crisis of confidence. Although the causes and solutions are varied, we focus here on a common logical problem in inference. The default mode of inference is significance testing, …

Concerns have been raised recently about the replicability of behavioral priming effects, and calls have been issued to identify priming methodologies with effects that can be obtained in any context and with any population. I argue that such …

When consumers of science (readers and reviewers) lack relevant details about the study design, data, and analyses, they cannot adequately evaluate the strength of a scientific study. Lack of transparency is common in science, and is encouraged by …

Notes that social psychologists' early enthusiasm has been replaced by serious doubts about the future of their field. Difficulties in conducting research, unfulfilled expectations about research payoffs, and outside pressures had all contributed to …

A paper about Open Your Data and Code

A critique about Daryl Bem's (2011) paper and reproducibility

This chapter considers various factors that have been responsible for the comparatively slow development of psychology into a cumulative empirical science. Special attention is devoted to correctable methodological mistakes, the over-reliance upon …

This chapter considers problems with null hypothesis significance testing (NHST). The literature in this area is quite large. D. Anderson, Burnham, and W. Thompson (2000) recently found more than 300 articles in different disciplines about the …

Although many researchers have discussed replication as a means to facilitate self-correcting science, in this article, we identify meta-analyses and evaluating the validity of correlational and causal inferences as additional processes crucial to …