Preregistration requires scientists to describe the planned research activities before their project begins. Preregistration improves transparency in empirical research and is an institutional response to scientific misconduct. This paper studies the …
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 …
In recent years, the discipline of political science has experienced demands and moves toward greater research transparency. While in quantitative research increased transparency through replication has become a fairly accepted convention, in …
Researchers increasingly engage in adopting open science practices in the field of research syntheses, such as preregistration. Preregistration is a central open science practice in empirical research to enhance transparency in the research process …
G*Power is a tool to compute statistical power analyses for many different t tests, F tests, χ2 tests, z tests and some exact tests. G*Power can also be used to compute effect sizes and to display graphically the results of power analyses
Welcome to GLIMMPSE. The GLIMMPSE software calculates power and sample size for study designs with normally distributed outcomes. Select one of the options below to begin a power or sample size calculation.
Completion of this course will provide a foundation for the practice of science. We will wrestle with the fundamental issues for designing and executing a program of research, and in the interpretation and reporting of research results. The class is …
Experimental preregistration is required for publication in many scientific disciplines and venues. When experimental intentions are preregistered, reviewers and readers can be confident that experimental evidence in support of reported hypotheses is …