What Can NeuroIS Learn from the Replication Crisis in Psychological Science?

Conrad, Colin; Bailey, Lyam M.

doi:10.1007/978-3-030-28144-1_14

Cited by 1 publication

(1 citation statement)

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“…The most common reason for low statistical power is a small sample size. In MRI experimentation, for instance, sample sizes tend to be small because it is bound to high financial costs (Conrad, & Bailey, 2020). Low power not only reduces the likelihood of not detecting a true effect but also increases the likelihood of finding false positives (Ioannidis, 2005).…”

Section: Beyond Psychologymentioning

confidence: 99%

Manual or Automatic? Putting standardized EEG-Preprocessing to the Test with the Alpha-Asymmetries of Personality

Schneider¹

2022

Preprint

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Evidence suggests that replication of empirical findings in many fields of research is seldom warranted. As a result, #EEGManyLabs Resting State EEG Asymmetry emerged to assess the replicability of landmark studies in psychophysiology. One potential factor that hinders replication is human subjectivity during EEG-preprocessing. To overcome this issue, the fully standardized preprocessing toolbox ‘Automagic’ (Pedroni, Bahreini, & Langer, 2019) was developed. The goal of the present work was to execute a test-run on Automagic to help assess its adequacy for the project’s purposes. Specifically, we examined the effect of automated preprocessing compared to traditional approaches on the analysis of frontal alpha asymmetries of personality. Forty-eight participants filled out the German BIS/BAS (Strobel, Beauducel, Debener, & Brocke, 2001) questionnaire, as well as the German RST-PQ Pugnaghi, Cooper, Ettinger, & Corr, 2018, among others. Next, we recorded 10 mins. of resting-state EEG twice, varying eye status (i.e., closed or opened) from each participant. All datasets were subsequently preprocessed in both Automagic and Brain Vision Analyzer. Measures based on signal amplitude as well as reliability estimates were computed to assess the quality of preprocessed EEG-data across methods. Furthermore, average alpha power from frontal, parietal, and occipital sites was extracted and used to compute asymmetry scores. Partial correlations between asymmetry scores and personality measures were computed, controlling for handedness, gender, and sleepiness. Additionally, we examined the moderating role of covariates using multiple regression analyses. Standardized preprocessing yielded better data quality in all considered aspects. No association between asymmetry scores and personality measures could be found, except when excluding influential data points. Employing different preprocessing approaches did not change our observations substantially. We consider standardized preprocessing a suitable option for large-scale multicentered replication projects. Our results support past research casting doubt on the robustness of the frontal alpha asymmetry of personality.

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Section: Beyond Psychologymentioning

confidence: 99%

Manual or Automatic? Putting standardized EEG-Preprocessing to the Test with the Alpha-Asymmetries of Personality

Schneider¹

2022

Preprint

View full text Add to dashboard Cite

show abstract

What Can NeuroIS Learn from the Replication Crisis in Psychological Science?

Cited by 1 publication

References 38 publications

Manual or Automatic? Putting standardized EEG-Preprocessing to the Test with the Alpha-Asymmetries of Personality

Manual or Automatic? Putting standardized EEG-Preprocessing to the Test with the Alpha-Asymmetries of Personality

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