A secondary analysis:Evaluating how the task completion duration influences fraud

Autor: Liu, Huanxu, Yamada, Yuki
Rok vydání: 2022
Předmět:
DOI: 10.17605/osf.io/m9w2j
Popis: We considered that in addition to the time pressure (we have confirmed its effect on fraud in another project), the task completion duration (i.e. the elapsed time from the beginning to the end of the task) might also be a potential factor that influences fraud. In our earlier study about temperature and fraud (Liu, Yang, & Yamada, 2020, https://psyarxiv.com/mt8pv/), there was no time limit to complete the task. We found that the participants showed different task completion durations. Thus, we thought the data of the task completion duration and the number of result-report inconsistent trials (i.e., the fraud data in the original study) could be used to carry out a secondary analysis to explore the relationship between the task completion duration and fraud. If we find a significant correlation between the task completion duration and the number of result-report inconsistent trials, we will use another dataset (we have extracted the necessary data from the original study) to add a correlation analysis investigating the relationship between the average difference ((the number participants self-reported - the number on the remote controller) / the number of the trials) and the average task completion duration (the task completion duration / 20). It aims to investigate that the previous correlation involves fraud, not because of the relationship between the task completion duration and calculation error (the difference originated from fraud should reflect a positive correlation in this analysis, and the difference originated from calculation error should show no correlation). Please also refer to the preprint of Liu et al. (2020). This registration is for improving the transparency and reliability of the secondary analysis. We also aim to ensure that the present dataset will remain persistent and unchangeable. In addition, we believe that reading the preprint of the original study firstly will be quite helpful to understand the present study.
Databáze: OpenAIRE