Literature DB >> 28000258

Introduction to the special issue on recentering science: Replication, robustness, and reproducibility in psychophysiology.

Emily S Kappenman1, Andreas Keil2.   

Abstract

In recent years, the psychological and behavioral sciences have increased efforts to strengthen methodological practices and publication standards, with the ultimate goal of enhancing the value and reproducibility of published reports. These issues are especially important in the multidisciplinary field of psychophysiology, which yields rich and complex data sets with a large number of observations. In addition, the technological tools and analysis methods available in the field of psychophysiology are continually evolving, widening the array of techniques and approaches available to researchers. This special issue presents articles detailing rigorous and systematic evaluations of tasks, measures, materials, analysis approaches, and statistical practices in a variety of subdisciplines of psychophysiology. These articles highlight challenges in conducting and interpreting psychophysiological research and provide data-driven, evidence-based recommendations for overcoming those challenges to produce robust, reproducible results in the field of psychophysiology.
© 2016 Society for Psychophysiological Research.

Keywords:  Psychometrics; Psychophysiology; Replicability; Reproducibility

Mesh:

Year:  2017        PMID: 28000258     DOI: 10.1111/psyp.12787

Source DB:  PubMed          Journal:  Psychophysiology        ISSN: 0048-5772            Impact factor:   4.016


  4 in total

1.  Examining raphe-amygdala structural connectivity as a biological predictor of SSRI response.

Authors:  Rajapillai L I Pillai; Chuan Huang; Andrew LaBella; Mengru Zhang; Jie Yang; Madhukar Trivedi; Myrna Weissman; Patrick McGrath; Maurizio Fava; Benji Kurian; Crystal Cooper; Melvin McInnis; Maria A Oquendo; Diego A Pizzagalli; Ramin V Parsey; Christine DeLorenzo
Journal:  J Affect Disord       Date:  2019-05-28       Impact factor: 4.839

2.  Statistical power: Implications for planning MEG studies.

Authors:  Maximilien Chaumon; Aina Puce; Nathalie George
Journal:  Neuroimage       Date:  2021-03-16       Impact factor: 6.556

3.  Frontal brain activity and cognitive processing speed in multiple sclerosis: An exploration of EEG neurofeedback training.

Authors:  Philipp M Keune; Sascha Hansen; Torsten Sauder; Sonja Jaruszowic; Christina Kehm; Jana Keune; Emily Weber; Michael Schönenberg; Patrick Oschmann
Journal:  Neuroimage Clin       Date:  2019-02-11       Impact factor: 4.881

4.  A passive and objective measure of recognition memory in Alzheimer's disease using Fastball memory assessment.

Authors:  George Stothart; Laura J Smith; Alexander Milton; Elizabeth Coulthard
Journal:  Brain       Date:  2021-10-22       Impact factor: 13.501

  4 in total

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