Second-by-Second Sensitivity Analysis of Response Time in Online Psychological Research
Description
The uploaded file "Data5062all100percentComplete.xlsx" contains 5,062 rows (one per respondent) and 98 columns, consisting of complete responses retained after filtering the original cross-cultural EAI-3 survey to 100% completers. The columns include Qualtrics metadata (start/end timestamps, IP address, progress, total completion time in seconds, response ID, geolocation, user language), 18 sociodemographic items (SD1–SD16 plus Q27 and Q28), four COVID-related items (C19_1–C19_6_1), and the item-level responses for five validated psychometric scales: the Exercise Addiction Inventory-3 (EAIR_M_1–9), the Exercise Dependence Scale-Revised (EDSR_M_1–21), the SCOFF eating-disorder screen (SCOFF_M_1–5), the Obsessive-Compulsive Inventory-Revised (OCI_M_1–18), and the Ten-Item Personality Inventory (Q96_1–10). The final column, The "10secondby86Q", is a binary classification variable flagging respondents at the 10 s/item response-time cutoff (3,491 coded as fast, 1,571 as adequate).
Files
Steps to reproduce
Recruit physically active adults internationally through social media and snowball sampling, directing them to a Qualtrics online survey made available in 13 languages (Chinese, Danish, English, French, German, Hungarian, Italian, Japanese, Portuguese, Russian, Spanish, Turkish, Ukrainian) that opens with an electronic informed-consent form approved by an institutional psychology research ethics board (as in Granziol et al., 2023; see the associated link). Administer the same 86-item battery to every respondent — sociodemographic questions (SD1–SD16, Q27, Q28), four COVID-context items, and five validated psychometric scales in a fixed order: Exercise Addiction Inventory-3 (9 items, 1–6 Likert), Exercise Dependence Scale-Revised (21 items, 1–6), SCOFF (5 yes/no items), Obsessive-Compulsive Inventory-Revised (18 items, 0–4), and the Ten-Item Personality Inventory (10 items, 1–7) — while Qualtrics automatically records total completion time, timestamps, IP address, geolocation, and language. Export the raw data, retain only respondents with 100% completion (yielding N = 5,062 across 54 countries), and save the resulting file as the Excel workbook used in this analysis.
Institutions
- Széchenyi István UniversityGyőr-Moson-Sopron, Győr
- University of PaduaVeneto, Padua