How can researchers avoid overemphasizing statistical significance over the magnitude of an effect? How does the null hypothesis relate to the concept of statistical power in experimental design?

An online Null Hypothesis Collection, a dedicated home for well-conducted negative, inconclusive or replication studies. This chapter introduces the second form of inference: null hypothesis significance tests (NHST), or “hypothesis testing” for short. The main statistical end ... Oct 3, 2016 ... A hypothesis test examines two propositions: the null hypothesis (or H0 for short), and the alternative (H1). The alternative hypothesis is what ... May 6, 2022 ... The null and alternative hypotheses are two competing claims that researchers weigh evidence for and against using a statistical test. Mar 31, 2009 ... Undersampling causes systematic negative bias of species richness, and should be the default null hypothesis for singleton frequencies. Sep 28, 2018 ... The first hypothesis test (or significance test) is often attributed to John Arbuthnot in 1710, physician to Queen Anne of England, and ... If the null hypothesis is true, it suggests that any changes witnessed in an experiment are because of random chance and not because of changes made to ... Sep 10, 2019 ... I think Bayesian inference is very useful, but Bayes factors are based on a model of point hypotheses that typically does not make sense. 05). Thus, reducing the file drawer problem, and reducing the bias in psychological literature. Without such a resource researchers could be wasting their time ... Oct 23, 2024 ... The null hypothesis (H₀) is a starting point in statistical testing. It proposes that there's no effect or difference between certain variables.