A communication researchers' guide to null hypothesis significance testing and alternatives

Timothy R. Levine, René Weber, Hee Sun Park, Craig R. Hullett

Research output: Contribution to journalArticlepeer-review

55 Scopus citations

Abstract

This paper offers a practical guide to use null hypotheses significance testing and its alternatives. The focus is on improving the quality of statistical inference in quantitative communication research. More consistent reporting of descriptive statistics, estimates of effect size, confidence intervals around effect sizes, and increasing the statistical power of tests would lead to needed improvements over current practices. Alternatives including confidence intervals, effect tests, equivalence tests, and meta-analysis are discussed.

Original languageEnglish
Pages (from-to)188-209
Number of pages22
JournalHuman Communication Research
Volume34
Issue number2
DOIs
StatePublished - Apr 2008

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