Confidence Intervals Permit, but Do Not Guarantee, Better Inference than Statistical Significance Testing
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Summary
Improved statistical inference can result from encouragement of meta-analytic thinking and use of CIs but, for full benefit, such highly desirable statistical reform requires also that researchers interpret CIs without recourse to NHST.
- Type
- article
- Published
- 2010-04-18
- Cited by
- 111
- References
- 28
- Access
- Open access
- OpenAlex
- https://openalex.org/W1964063574
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:6668814
Keywords
Statistical inference, Psychology, Inference, Statistical hypothesis testing, Confidence interval
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- After Statistics Reform: Should We Still Teach Significance Testing?
- QUALITATIVE RESEARCH: AN ESSENTIAL PART OF STATISTICAL COGNITION RESEARCH
- Making statistical methods in management research more useful: some suggestions from a case study
- Can confidence intervals save psychology? Part 2.
- Why Can’t Measurements Based on Mathematical Models Be More User-Friendly? Problems, Causes and Suggestions
- Potenciar la utilidad de los métodos estadísticos: algunas sugerencias a partir de un estudio de caso
- IDENTIFYING MISCONCEPTIONS ABOUT CONFIDENCE INTERVALS
- P Values, Confidence Intervals, or Confidence Levels for Hypotheses?
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- Assessment of the Hemispheric Lateralization of Grapheme-Color Synesthesia with Stroop-Type Tests
- The adequacy of different robust statistical tests in comparing two independent groups