Practical Significance: A Concept Whose Time Has Come
Educational and Psychological MeasurementPublished 1 October 1996
Roger E. Kirk
Citations1,792
SJR quartileQ1
SJR score1.93
SNIP2.21
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
Abstract
Statistical significance is concerned with whether a research result is due to chance or sampling variability; practical significance is concerned with whether the result is useful in the real world. A growing awareness of the limitations of null hypothesis significance tests has led to a search for ways to supplement these procedures. A variety of supplementary measures of effect magnitude have been proposed. The use of these procedures in four APA journals is examined, and an approach to assessing the practical significance of data is described.
Keywords
Decision SciencesHealth ProfessionsEconomics, Econometrics and Finance
Computers Environment and Urban SystemsStatistical power analysis for the behavioral sciences
65,645 Citations1990
Journal of Educational StatisticsStatistical Methods for Meta-Analysis
10,479 Citations1988Stanley Wasserman, Larry V. Hedges +1 more
The Economic JournalMathematical Methods of Statistics.
6,007 Citations1947R. C. Geary, H. Leslie Cramer
Journal of Consulting and Clinical PsychologyTheoretical risks and tabular asterisks: Sir Karl, Sir Ronald, and the slow progress of soft psychology.
1,974 Citations1978Paul E. Meehl
Psychological BulletinStatistical significance in psychological research.
1,349 Citations1968David T. Lykken
Sapolsky (1964) developed the following substantive theory: Some psychiatric patients entertain an unconscious belief in the "cloacal theory of birth" which involves the notions of oral impregnation and anal parturition, which led Sapolsky to predict that Rorschach frog responders show.
BiometrikaON THE USE AND INTERPRETATION OF CERTAIN TEST CRITERIA FOR PURPOSES OF STATISTICAL INFERENCE
1,075 Citations1928Jerzy Neyman, E. S. Pearson
Philosophy of ScienceTheory-Testing in Psychology and Physics: A Methodological Paradox
992 Citations1967Paul E. Meehl
Harvard Educational ReviewThe Case Against Statistical Significance Testing
933 Citations1978Ronald P. Carver
Journal of Educational PsychologyA simple, general purpose display of magnitude of experimental effect.
932 Citations1982Robert Rosenthal, Donald B. Rubin
Psychological BulletinA common language effect size statistic.
858 Citations1992Kenneth O. McGraw, Sumwai Wong
Psychological BulletinDo studies of statistical power have an effect on the power of studies?
750 Citations1989Peter Sedlmeier, Gerd Gigerenzer
Psychological BulletinThe fallacy of the null-hypothesis significance test.
738 Citations1960William W. Rozeboom
To the experimental scientist, statistical inference is a research instrument, a processing device by which unwieldy masses of raw data may be refined into a product more suitable for assimilation into the corpus of science, and in this lies both strength and weakness.
McGraw-Hill Book CompanyStatistical procedures and their mathematical bases.
622 Citations1940Charles C. Peters, Walter R. Van Voorhis
Philosophical Transactions of the Royal Society of London Series A Containing Papers of a Mathematical or Physical CharacterI. Mathematical contributions to the theory of evolution. —VII. On the correlation of characters not quantitatively measurable
473 Citations1900Karl Pearson
Educational ResearcherAERA Editorial Policies regarding Statistical Significance Testing: Three Suggested Reforms
343 Citations1996Bruce Thompson
Journal of the American Statistical AssociationSome Difficulties of Interpretation Encountered in the Application of the Chi-Square Test
257 Citations1938Joseph Berkson
Educational ResearcherResearch news and Comment: AERA Editorial Policies Regarding Statistical Significance Testing: Three Suggested Reforms
210 Citations1996Bruce Thompson
The logic of statistical significance testing is presented in an accessible manner; many people who use statistical tests might not place such a premium on the tests if these individuals understood what the tests really do, and what they do not do.
The Journal of Experimental EducationThe Use of Statistical Significance Tests in Research
184 Citations1993Bruce Thompson
Psychological ScienceThe Counternull Value of an Effect Size: A New Statistic
171 Citations1994Robert Rosenthal, Donald B. Rubin
Proceedings of the National Academy of SciencesAn Unbiased Correlation Ratio Measure
148 Citations1935Truman L. Kelley
Journal of the American Statistical AssociationThe Influence of<i>Statistical Methods for Research Workers</i>on the Development of the Science of Statistics
118 Citations1951F Yates
Psychological BulletinEffect size estimation for one-sample multiple-choice-type data: Design, analysis, and meta-analysis.
70 Citations1989Robert Rosenthal, Donald B. Rubin
Personality and Social Psychology BulletinExpected Effect Sizes
52 Citations1982Harris Cooper, Maureen Findley
Educational and Psychological MeasurementConfidence Intervals for Correlation Ratios
48 Citations1980Allen I. Fleishman
Educational and Psychological MeasurementA Measure of Experimental Effect Size Based on Success Rates
16 Citations1983Peter F. W. Preece
