The Fifth edition of the Apa Publication Manual
Why its Statistics Recommendations are so Controversial
Bibliographic Data
| ID | 20284261 |
|---|---|
| Authors | Fiona Fidler (0000-0002-2700-2562, La Trobe University (Bundoora, Australia) and The University of Melbourne, corresponding author) |
| Year | 2002 |
| Volume | 62 |
| Issue | 5 |
| Pages | 749-770 |
| Publication date | 2002-10-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Educational and Psychological Measurement (JOURNAL) |
| Journal identifiers | ISSN: 0013-1644 • E-ISSN: 1552-3888 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/001316402236876 |
| OpenAlex | W2103610582 |
| Language | EN |
| Citations received | 17 |
| References cited | 32 |
The fifth edition of the Publication Manual of the American Psychological Association (APA) draws on recommendations for improving statistical practices made by the APA Task Force on Statistical Inference (TFSI). The manual now acknowledges the controversy over null hypothesis significance testing (NHST) and includes both a stronger recommendation to report effect sizes and a new recommendation to report confidence intervals. Drawing on interviews with some critics and other interested parties, the present review identifies a number of deficiencies in the new manual. These include lack of follow-through with appropriate explanations and examples of how to report statistics that are now recommended. At this stage, the discipline would be well served by a response to these criticisms and a debate over needed modifications
Association (psychology) · Inference · Management · Null hypothesis · Statistical hypothesis testing · Statistical inference · Statistics · Task (project management) · Artificial Intelligence · Computer Science · Mathematics · Meta-analysis and systematic reviews · Psychology · Psychometric Methodologies and Testing · Statistical Methods in Clinical Trials
Algumas medidas típicas univariadas da magnitude do efeito
Effect Size Reporting Practices in Published Articles
Extending Improvement-Over-Chance I -Index Effect Size Simulation Studies to Cover Some Small-Sample Cases
Calculating and reporting effect sizes to facilitate cumulative science
How to Estimate and Interpret Various Effect Sizes.
Maximum-Corrected and Chance-Corrected Measures of Effect Size for the Mantel–Haenszel Test
Inference by Eye
Publication of Nonsignificant Results
Mindless statistics
Effect Sizes
Alphabet Soup
A comprehensive review of reporting practices in psychological journals
Cautionary Note on Reporting Eta-Squared Values from Multifactor Anova Designs
Power and Negative Results
Shaping Up the Practice of Null Hypothesis Significance Testing
Using anchor-based methods to determine the smallest effect size of interest
Standardized or simple effect size
Statistical significance testing and cumulative knowledge in psychology
Past and Future American Psychological Association Guidelines for Statistical Practice
Constructing Psychological Knowledge
Correct Confidence Intervals for Various Regression Effect Sizes and Parameters
Promoting Good Statistical Practices
Colloquium on Effect Sizes
Practical Significance
Reporting of Statistical Inference in the Journal of Applied Psychology
A Primer on the Understanding, Use, and Calculation of Confidence Intervals that are Based on Central and Noncentral Distributions
The statistical power of abnormal-social psychological research
What do data really mean? Research findings, meta-analysis, and cumulative knowledge in psychology
The earth is round (p < .05)
What Future Quantitative Social Science Research Could Look Like
Things I have learned (so far)
Statistical methods in psychology journals
Belief in the law of small numbers
Do studies of statistical power have an effect on the power of studies
Comparing effect sizes of independent studies
| Citations per year | 0.74 |
|---|---|
| Citation span | 2003 - 2021 (19) |
| Highly cited | No |