The replication crisis in social sciences denotes that findings in behavioral science often cannot be replicated, making it one of the most impactful events. The Open Science movement, which aims to deal with the replication crisis, is recognized its importance by more and more researchers. Meanwhile, as LMER is found its statistical sensitivity and applicableness in Open Science practice, the current course will also introduce why and how to apply LMER in your research, and how to conduct its power analysis.
There have been concerns about the credibility of findings in psychological and social science for nearly two decades. The term “replication crisis” which originated in the early 2010s, denotes that findings in behavioral science often cannot be replicated. Many scientists question the accuracy of published findings and now call for increased scrutiny of research practices in psychology and sociology. Open Science is the movement that aims to deal with the replication crisis, especially in more open and collaborative research practices in which publications, data, software, and other types of academic output are shared at the earliest possible stage and made available for reuse, including replication. The primary aim of the course is to introduce the most current Open Science practice in research and how to integrate it into students’ own research. Meanwhile, with a more in-depth understanding of statistics used in pre-crisis research, researchers also put efforts into employing new advanced statistical methodologies, including linear mixed-effect regression (LMER), which provides more accurate results than traditional ANOVA and regression.
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