Hypothesis testing always starts with the assumption that the null hypothesis is true. An alternative hypothesis ( H a or H 1) states your main prediction of a true effect, a relationship between variables, or a difference between groups.A null hypothesis ( H 0) always predicts no true effect, no relationship between variables, or no difference between groups.To begin, research predictions are rephrased into two main hypotheses: the null and alternative hypothesis. This is a formal procedure for assessing whether a relationship between variables or a difference between groups is statistically significant. In quantitative research, data are analyzed through null hypothesis significance testing, or hypothesis testing. How do you test for statistical significance? Frequently asked questions about statistical significance.Other types of significance in research.Problems with relying on statistical significance.How do you test for statistical significance?.
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