Preregistration is an open science practice that requires the specification of research hypotheses and analysis plans before the data are inspected. Here, we discuss the benefits of preregistration for hypothesis-driven, confirmatory bilingualism …
For over two centuries researchers have been criticized for using research practices that makes it easier to present data in line with what they wish to be true. With the rise of the internet it has become easier to preregister the theoretical and …
Science progresses by finding and correcting problems in theories. Good theories are those that help facilitate this process by being hard to vary: They explain what they are supposed to explain, they are consistent with other good theories, and they …
Pre-registration has become an increasingly popular proposal to address concerns regarding questionable research practices. Yet preregistration does not necessarily solve these problems. It also causes additional problems, including raising costs for …
Preregistration has been proposed as a useful method for making a publicly verifiable distinction between confirmatory hypothesis tests, which involve planned tests of ante hoc hypotheses, and exploratory hypothesis tests, which involve unplanned …
The reproducibility problem that exists in various academic fields has been discussed in recent years, and it has been revealed that scientists discreetly engage in several questionable research practices (QRPs). For example, the practice of …
Proponents of preregistration argue that, among other benefits, it improves the diagnosticity of statistical tests. In the strong version of this argument, preregistration does this by solving statistical problems, such as family-wise error rates. In …
The social sciences—including economics—have long called for transparency in research to counter threats to producing robust and replicable results. In this paper, we discuss the pros and cons of three of the more prominent proposed approaches: …
The idea for the registration of observational epidemiologic studies (with their protocols, hypotheses, and analysis plans) is modeled on the registration of randomized clinical trials (RCTs). The movement that led to the registration of RCTs was fed …
This is a commentary on Lee et al.’s (2019) article encouraging preregistration of model development, fitting, and evaluation. While we are in general agreement with Lee et al.’s characterization of the modeling process, we disagree on whether …