Literature DB >> 28315170

Meeting the challenge of the Psychonomic Society's 2012 Guidelines on Statistical Issues: Some success and some room for improvement.

Peter E Morris1, Catherine O Fritz2.   

Abstract

The Psychonomic Society (PS) adopted New Statistical Guidelines for Journals of the Psychonomic Society in November 2012. To evaluate changes in statistical reporting within and outside PS journals, we examined all empirical papers published in PS journals and in the Experimental Psychology Society journal, The Quarterly Journal of Experimental Psychology (QJEP), in 2013 and 2015, to describe these populations before and after effects of the Guidelines. Comparisons of the 2013 and 2015 PS papers reveal differences associated with the Guidelines, and QJEP provides a baseline of papers to reflect changes in reporting that are not directly influenced by the Guidelines. A priori power analyses increased from 5% to 11% in PS papers, but not in QJEP papers (2%). The reporting of effect sizes in PS papers increased from 61% to 70%, similar to the increase for QJEP from 58% to 71%. Only 18% of papers reported confidence intervals (CIs) for means; only two PS papers in 2015 reported CIs for effect sizes. Although variability statistics are important to understanding data, and to further analysis, they were only reported as numbers in just over half of the PS journal papers. Almost all PS and QJEP papers relied exclusively on null hypothesis significance testing to guide interpretation of the data. Changes associated with the Guidelines are in the desired direction with respect to reporting effect sizes and power analyses but are not yet reflected in researchers' practices in describing their data, addressing data assumptions, and thinking beyond the p value when interpreting their data.

Keywords:  Confidence intervals; Effect size; Statistical inference; Statistics

Mesh:

Year:  2017        PMID: 28315170     DOI: 10.3758/s13423-017-1267-y

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  8 in total

1.  Using confidence intervals for graphically based data interpretation.

Authors:  Michael E J Masson
Journal:  Can J Exp Psychol       Date:  2003-09

2.  False-positive psychology: undisclosed flexibility in data collection and analysis allows presenting anything as significant.

Authors:  Joseph P Simmons; Leif D Nelson; Uri Simonsohn
Journal:  Psychol Sci       Date:  2011-10-17

3.  Bar graphs depicting averages are perceptually misinterpreted: the within-the-bar bias.

Authors:  George E Newman; Brian J Scholl
Journal:  Psychon Bull Rev       Date:  2012-08

4.  G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences.

Authors:  Franz Faul; Edgar Erdfelder; Albert-Georg Lang; Axel Buchner
Journal:  Behav Res Methods       Date:  2007-05

5.  The new statistics: why and how.

Authors:  Geoff Cumming
Journal:  Psychol Sci       Date:  2013-11-12

6.  Effect size estimates: current use, calculations, and interpretation.

Authors:  Catherine O Fritz; Peter E Morris; Jennifer J Richler
Journal:  J Exp Psychol Gen       Date:  2011-08-08

7.  Effect sizes in memory research.

Authors:  Peter E Morris; Catherine O Fritz
Journal:  Memory       Date:  2013-01-25

8.  PSYCHOLOGY. Estimating the reproducibility of psychological science.

Authors: 
Journal:  Science       Date:  2015-08-28       Impact factor: 47.728

  8 in total

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