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Category: Data

Description: Data (SPSS and Stata, including syntax) from the main experiment. We collected data from working professionals via TurkPrime (Litman, Robinson, & Abberbock, 2017) and prolific.ac (Palan & Schitter, 2018), two versatile crowdsourcing data acquisition platforms for researchers that allowed us to recruit participants using pre-screening requirements (Keith, Tay, & Harms, 2017; Litman et al., 2017). Our study was only accessible for participants who had an approval rate of ≥90%, and we included multiple measures of attention/ comprehension checks to ensure high data quality (i.e., screener items; cf. Thomas & Clifford, 2017). We applied multiple procedures to select an appropriate subject pool that (a) aligned with previous study populations and (b) was adequate in terms of providing high-quality responses. First, we used the platforms' integrated pre-screening procedures, which made our study available only to a pre-defined population of participants (for MTurk, pre-screening criteria were occupational status: employee, hours employed: 35+ hours/week, nationality: AU and US, approval rate: 90%+, number of HITs approved: 100+; for prolific, screening criteria were nationality: AU and US, supervisor: yes, employment status: full-time, and first language: English). Using these criteria, the available participant pool in MTurk was N < 480,7 while the available participant pool in prolific was N = 1054. We also separated the assessment of the personality and trait affect measures from the main experiment by using a prescreening procedure (for details, see Keith et al., 2017).