The pervasive avoidance of Prospective Statistical Power: major consequences and practical solutions

The pervasive avoidance of Prospective Statistical Power: major consequences and practical solutions

Bibliographic Details
Main Authors:	Patrizio E Tressoldi, David eGiofré
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2015-05-01
Series:	Frontiers in Psychology
Subjects:	effect size sample size planning Reproducibility of Results NHST Prospective Statistical Power
Online Access:	http://journal.frontiersin.org/Journal/10.3389/fpsyg.2015.00726/full

Similar Items

Too Good to be False: Nonsignificant Results Revisited
by: Chris H. J. Hartgerink, et al.
Published: (2017-03-01)

A Short Guide on How to Carry Out Validation of Scales Measuring Health Outcomes
by: Edgar Martins Mesquita
Published: (2023-05-01)

Permutation-based group sequential analyses for cognitive neuroscience
by: John P. Veillette, et al.
Published: (2023-08-01)

Remarkably reproducible psychological (memory) phenomena in the classroom: some evidence for generality from small-N research
by: Abdulrazaq A. Imam
Published: (2022-11-01)

Interexaminer agreement dental caries epidemiological surveys: the importance of disease prevalence in the sample
by: Aline Sampieri Tonello, et al.

Sample size for ophthalmology studies
by: Naduvilath Thomas, et al.
Published: (2000-01-01)

The Heuristic Value of p in Inductive Statistical Inference
by: Joachim I. Krueger, et al.
Published: (2017-06-01)

How to calculate statistical power for vegetation research
by: Mohammad Mousaei Sanjerehei
Published: (2020-12-01)

Types of variables, descriptive statistics, and sample size
by: Feroze Kaliyadan, et al.
Published: (2019-01-01)

Concepts in sample size determination
by: Umadevi K Rao
Published: (2012-01-01)

Statistical processing the interlaboratory testing results of grain-size distribution of stone coal from the Coal Mine Avramica
by: Urošević Daniela, et al.
Published: (2013-01-01)

Published correlational effect sizes in social and developmental psychology
by: Josefína Weinerová, et al.
Published: (2022-12-01)

Testing Significance Testing
by: Joachim I. Krueger, et al.
Published: (2018-04-01)

The reporting of p values, confidence intervals and statistical significance in Preventive Veterinary Medicine (1997–2017)
by: Locksley L. McV. Messam, et al.
Published: (2021-11-01)

Fisher, Neyman-Pearson or NHST? A Tutorial for Teaching Data Testing
by: Jose D. Perezgonzalez
Published: (2015-03-01)

Group-sequential analysis may allow for early trial termination: illustration by an intra-observer repeatability study
by: Oke Gerke, et al.
Published: (2017-09-01)

The Understanding on How to Determine Sample Size in Psychological Science: Data and Simulation
by: Wisnu Wiradhany, et al.
Published: (2019-08-01)

On the Influence of Religious Assumptions in Statistical Methods Used in Science
by: Cornelius Hunter
Published: (2020-12-01)

Fragility Index, power, strength and robustness of findings in sports medicine and arthroscopic surgery: a secondary analysis of data from a study on use of the Fragility Index in sports surgery
by: Aleksi Reito, et al.
Published: (2019-05-01)

p-value based statistical significance tests: Concepts, misuses, critiques, solutions and beyond
by: WenJun Zhang
Published: (2022-09-01)

Analysis of Surgical Pathology Data in the HIRA Database: Emphasis on Current Status and Endoscopic Submucosal Dissection Specimens
by: Sun-ju Byeon, et al.
Published: (2016-05-01)

Indices of Effect Existence and Significance in the Bayesian Framework
by: Dominique Makowski, et al.
Published: (2019-12-01)

Sample size and significance – somewhere between statistical power and judgment prostration
by: Cezary Watała
Published: (2007-03-01)

Statistical power for detecting epistasis QTL effects under the F-2 design
by: Da Yang, et al.
Published: (2005-03-01)

Translation, cross-cultural adaptation, and validation of the Athlete Fear Avoidance Questionnaire (AFAQ) into Brazilian Portuguese
by: Jodimar Ribeiro dos Reis-Junior, et al.
Published: (2022-11-01)

Do You Want to Gain a Profound Insight into Sample Size and Statistical Power
by: AA Haghdoost
Published: (2009-06-01)

Statistical significance: p value, 0.05 threshold, and applications to radiomics—reasons for a conservative approach
by: Giovanni Di Leo, et al.
Published: (2020-03-01)

Psychometric properties of a novel knowledge assessment tool of mechanical ventilation for emergency medicine residents in the northeastern United States
by: Jeremy B. Richards, et al.
Published: (2016-02-01)

Adaptive propensity score procedure improves matching in prospective observational trials
by: Dorothea Weber, et al.
Published: (2019-07-01)

OPTIMAL SAMPLE SIZE FOR STATISTICAL ANALYSIS OF WINTER WHEAT QUANTITATIVE TRAITS
by: Andrijana Eđed, et al.
Published: (2009-06-01)

Basics of statistics – 4: Sample size calculation (ii): A narrative review
by: H S Darling
Published: (2020-01-01)

Distributions of p-values smaller than .05 in psychology: what is going on?
by: Chris H.J. Hartgerink, et al.
Published: (2016-04-01)

Four Bad Habits of Modern Psychologists
by: James Grice, et al.
Published: (2017-08-01)

A model-based approach to assess reproducibility for large-scale high-throughput MRI-based studies
by: Zeyu Jiao, et al.
Published: (2022-07-01)

Enhancing Statistical Inference in Psychological Research via Prospective and Retrospective Design Analysis
by: Gianmarco Altoè, et al.
Published: (2020-01-01)

Methodological considerations for the design and implementation of reliable and valid web surveys
by: Israel Agaku
Published: (2021-09-01)

Is the ‘n = 30 rule of thumb’ of ecological field studies reliable? A call for greater attention to the variability in our data
by: Martínez–Abraín, A.
Published: (2014-06-01)

Neutrosophication of statistical data in a study to assess the knowledge, attitude and symptoms on reproductive tract infection among women
by: Somen Debnath
Published: (2021-03-01)

Update to the Vitamin C, Thiamine and Steroids in Sepsis (VICTAS) protocol: statistical analysis plan for a prospective, multicenter, double-blind, adaptive sample size, randomized, placebo-controlled, clinical trial
by: Christopher J. Lindsell, et al.
Published: (2019-12-01)

On the consequences of intrinsic and extrinsic size effects on the mechanical response of nanoporous Au
by: Yijuan Wu, et al.
Published: (2023-08-01)