Literature DB >> 21560804

Survey of editors and reviewers of high-impact psychology journals: statistical and research design problems in submitted manuscripts.

Alex Harris1, Rachelle Reeder, Jenny Hyun.   

Abstract

The authors surveyed 21 editors and reviewers from major psychology journals to identify and describe the statistical and design errors they encounter most often and to get their advice regarding prevention of these problems. Content analysis of the text responses revealed themes in 3 major areas: (a) problems with research design and reporting (e.g., lack of an a priori power analysis, lack of congruence between research questions and study design/analysis, failure to adequately describe statistical procedures); (b) inappropriate data analysis (e.g., improper use of analysis of variance, too many statistical tests without adjustments, inadequate strategy for addressing missing data); and (c) misinterpretation of results. If researchers attended to these common methodological and analytic issues, the scientific quality of manuscripts submitted to high-impact psychology journals might be significantly improved.

Mesh:

Year:  2011        PMID: 21560804     DOI: 10.1080/00223980.2011.555431

Source DB:  PubMed          Journal:  J Psychol        ISSN: 0022-3980


  3 in total

1.  Assessment of Statistical Methodologies and Pitfalls of Dissertations Carried Out at National Cancer Institute, Cairo University

Authors:  Rasha M Allam; Maissa K Noaman; Manar M Moneer; Inas A Elattar
Journal:  Asian Pac J Cancer Prev       Date:  2017-01-01

2.  Keep calm and carry on: moral panic, predatory publishers, peer review, and the emperor's new clothes.

Authors:  Frank Houghton
Journal:  J Med Libr Assoc       Date:  2022-04-01

3.  Multiple imputation of multiple multi-item scales when a full imputation model is infeasible.

Authors:  Catrin O Plumpton; Tim Morris; Dyfrig A Hughes; Ian R White
Journal:  BMC Res Notes       Date:  2016-01-26
  3 in total

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