Confidence ratings are better predictors of future performance than delayed judgments of learning.

What is the best way to predict future memory performance? The intuitive answer is through judgments of learning (JOLs), in which people estimate how likely they are to remember something in the future. Recent theory, however, suggests that a retrospective confidence rating made just after a retrieval attempt might be a better predictor in some situations. In three preregistered experiments, we compared delayed JOLs to confidence ratings.

Deciding what to replicate: A decision model for replication study selection under resource and knowledge constraints.

Robust scientific knowledge is contingent upon replication of original findings. However, replicating researchers are constrained by resources, and will almost always have to choose one replication effort to focus on from a set of potential candidates. To select a candidate efficiently in these cases, we need methods for deciding which out of all candidates considered would be the most useful to replicate, given some overall goal researchers wish to achieve.

Collective memory for American leaders: Measuring recognition for the names and faces of the US presidents.

Collective memory studies show that Americans remember their presidents in a predictable pattern, which can be described as a serial position curve with an additional spike for Abraham Lincoln. However, all prior studies have tested Americans' collective memory for the presidents by their names. How well do Americans know the faces of the presidents? In two experiments, we investigated presidential facial recognition and compared facial recognition to name recognition.

Applying confidence accuracy characteristic plots to old/new recognition memory experiments.

Confidence-accuracy characteristic (CAC) plots were developed for use in eyewitness identification experiments, and previous findings show that high confidence indicates high accuracy in all studies of adults with an unbiased lineup. We apply CAC plots to standard recognition memory data by calculating response-based and item-based accuracy, one using false alarms and the other using misses. We use both methods to examine the confidence-accuracy relationship for both correct old responses (hits) and new responses (correct rejections).

Replication data collection highlights value in diversity of replication attempts.

Researchers agree that replicability and reproducibility are key aspects of science. A collection of Data Descriptors published in Scientific Data presents data obtained in the process of attempting to replicate previously published research. These new replication data describe published and unpublished projects.