Computational protocol: Investigating expectation effects using multiple physiological measures

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Protocol publication

[…] A total of 154 participants (110 women and 44 men) divided into four groups participated in this study at the Institute for Frontier Areas of Psychology and Mental Health (IGPP). A power analysis using the G*Power 3.1.9.2 computer program (Faul et al., ) indicated a 95% chance of detecting a large effect size (defined by Cohen, ) between stolen and not stolen items in the response period.The mean age of our sample was 23.8 (SD = 2.9 years), with a range of 19–36 years. Participants were university students from different faculties. All our participants were recruited via student services and bulletins posted in different university faculties and institutes. We excluded psychology and cognitive neuroscience students for the reason of possible bias and knowledge about the experiment. We obtained informed consent from each participant prior to the experiment. Experiments were carried out according to the WMA Declaration of Helsinki—Ethical Principles for Medical Research Involving Human Subjects. We indicated that participation was voluntary and that each participant could quit the experiment at any time without having to give a reason. [...] Statistical analyses were performed using SPSS, Version 21.0 (SPSS Inc., Chicago, IL, USA), MATLAB Statistics Toolbox Release 2013a (The MathWorks, Inc., Natick, MA, USA) and G*Power 3.1.9.2 (Faul et al., ). For the presponse period and the response period, we calculated mean and standard deviations of reactions to stolen and not stolen items. For each physiological and behavioral measure and group, a one sample t-test (two-tailed, significance level 0.05) and Cohen's d effect size estimate were calculated. For group comparison, we conducted One-way ANOVAS and post-hoc Tukey HSD tests. In order to examine expectation effects in the presponse period, we conducted a one-sample t-test for the individual average SCL differences (the SCL preceding the final S item minus the SCL preceding the first N item) and the corresponding effect sizes for each item sequence and group. […]

Pipeline specifications

Software tools G*Power, SPSS
Application Miscellaneous
Organisms Homo sapiens