---------- For any doubt or comment, feel free to email the first author ---------- For the sake of Open Science principles and reproducibility best practices, this repository include the following resources ### Preregistration folder - `PRP-QUANT_Study1.pdf` - This is the document of preregistatron, which follows the Psychological Research Preregistration-Quantitative (PRP-QUANT) Template. This document is also available as registration (OSF Registries: https://osf.io/tkdq7/). ### Instrument: The online task employed in this research is freely available at https://anti-vea.ugr.es/ ### Data folder: Include two subfolders #### Original data - `data_survey_protected_raw.csv` - This dataset contains the responses of the participants to the initial survey. Note that to protect sensitive and confidential data, we masked information from respondents who ultimately did not perform the task and information from some variables that are not pertinent for this study. Each row represents a respondent - `data_task_raw.csv` - This dataset contains the responses of the participants to the cognitive task (i.e., the ANTI-Vea). Each row represent a task trial - `data_survey.about.task_protected_raw.csv` - This dataset contains the responses of the participants to the survey about the cognitive task (including the second assessment of ADHD symptoms). Note that to protect sensitive and confidential data, we masked information from respondents who ultimately did not perform the task and information from some variables that are not pertinent for this study. Each row represents a respondent The subfolder also includes the **codebooks** (XLSX file format) that allow the interpretation of each of the three databases. #### Processed data - `data_trial_processed.csv` - This dataset contains the responses of the participants who completed the second phase. It includes responses to the task, ADHD symptoms (both in the initial sample and in the survey about the task), and other demographic and control questions. Each row represent a task trial, therefore participant-level responses (e.g., Sex or ADHD symptoms) are repated across the rows of the same participant - `data_task_reliability_full.csv` - This dataset contains the results of the reliability analyses to each of the four preregistered task measures. As a part of the multiverse approach, the reliability scores are presented under different analytical scenarios. Each row represent an iteration of the permutation-based split-half reliability analysis - `data_participant_processed.csv` - This dataset contains the participant-level responses to the task and surveys. As noted in its first column, to work with the same participants as the **final sample**, filter the column 'Validity_Performance' with only 'Valid' values. Each row rerpesent a participant The subfolder also includes the **codebooks** (XLSX file format) that allow the interpretation of each of the three databases. ### Analyses folder: Include three scripts Note: All the scripts (R language) can be run without the need to download and load the data, since these are downloaded from the script itself - `1_preprocessing_OSF.R` - This script is to preprocess the data for Coll-Martin et al.'s (2024; Collabra:Psychology) study. It integrates the three files of the original data to export the processed file `data_trial_processed.csv` - `2_reliability_and_sample_size_justification_OSF.R` - This script is to analyse the reliability of the instruments and the sample size justification of Coll-Martin et al.'s (2024; Collabra:Psychology) study. It imports the `data_trial_processed.csv` file and exports and then imports the `data_task_reliability_full.csv` file - `3_results_OSF.R` - This script is to analyse the results of Coll-Martin et al.'s (2024; Collabra:Psychology) study. It imports the `data_trial_processed.csv` file and export the `data_participant_processed.csv` file