This OPTIMIZE_readme.txt document was created on the 14th of October 2024 by Dajana Šipka. -------------------- GENERAL INFORMATION -------------------- 1. Title of dataset: OPTIMIZE_dataset.csv 2. Information on the contributors a.) Name: Prof. Dr. Thomas Berger Role / Function: main responsible person/contact person Institution: Institut of Psychology, Department of Clinical Psychology and Psychotherapy Address: Fabrikstrasse 8, University of Bern, Switzerland E-Mail: thomas.berger@unibe.ch b.) Name: M. Sc. Dajana Šipka Role / Function: dataset creator Institution: Institut of Psychology, Department of Clinical Psychology and Psychotherapy Address: Fabrikstrasse 8, University of Bern, Switzerland E-Mail: dajana.sipka@unibe.ch 3. Date of data collection: 11th of August 2021 - 27th of July 2023 4. Geographical location of data collection OPTIMIZE was single-centered in Switzerland, data collection was from German-speaking countries. 5. Keywords: Anxiety disorders, Social anxiety disorder, Factorial design, Internet-based treatment, Cognitive-behavioral psychotherapy 6. Information on funding institutions that supported the data collection: Funding Institutions: Swiss National Science Foundation (SNSF) through a Project Funding grant in humanities and social sciences (Division I), given to Prof. Dr. Thomas Berger Grant number: 10001C_197475 ---------------------------- INFORMATION ON DATA SHARING ---------------------------- 1. Licenses/Access restrictions for the dataset: restricted access 2. Links to publications that cite or use the data: Šipka, D., Lopes, R. C. T., Krieger, T., Klein, J. P., & Berger, T. (2024). Active Ingredients in Internet-Based Cognitive Behavioral Therapy for Social Anxiety Disorder: A Randomized Full Factorial Trial. [Manuscript submitted for publication]. 3. Links to other publicly accessible websites on which the data can be found: – 4. Links to further data records: – 5. Was the data derived from (another) source(s) (e.g. compiled from other data sets)? No. ------------------ DATA FILE OVERVIEW ------------------ 1. Data file list: Data file name: OPTIMIZE_dataset.csv Data file coding: – Brief description: – Data file created: 13th of September 2024 2. Are there several versions of the data file? No. -------------------------- INFORMATION ON METHODS -------------------------- 1. Description of the methods used to collect/generate the data: DOI study protocol OPTIMIZE: https://doi.org/10.1016/j.invent.2021.100480 2. Methods used to process the data: See "DATASET SPECIFIC INFORMATION FOR: OPTIMIZE_dataset" -> "3. List of variables" -> "meaning / content" 3. Device or software-specific information that is necessary for understanding or further use of the data: No particular software necessary; data is a .csv file. 4. Standards and calibration information: – 5. Environmental/experimental conditions: Participants used an online therapy program (Shyne) at their homes. Data was collected via the only therapy program, online questionnaires (via REDCap), and/or a telephone interview (see OPTIMIZE study protocol for more information). 6. Describe all quality assurance procedures that have been applied: For quality assurance, the sponsor, the Ethics Committee, or an independent trial monitor may visit the research sites. Direct access to the source data and all study-related files is granted on such occasions. All involved parties keep the participant data strictly confidential. The monitoring by an external monitoring person (Dr. Robinson Aschoff) was conducted every 6 months after the project's beginning. This study was conducted in compliance with the protocol, the current version of the Declaration of Helsinki, the ICH-GCP. 7. Persons involved in sample collection, processing, analysis, and/or submission: Prof. Dr. Thomas Berger, M. Sc. Dajana Šipka, Dr. Rodrigo Lopes --------------------------------------------------- DATASET SPECIFIC INFORMATION FOR: OPTIMIZE_dataset --------------------------------------------------- 1. Number of variables: 19 2. Number of rows: 1857 (464 participants over 4 time points: 464 x 4 = 1856 + 1 row for variable names) 3. List of variables: (See OPTIMIZE study protocol for more information on the content of the variables) variable names range meaning/content id: 1 - 688 participant number for the N = 464 participants condition: 1 - 16 condition/version of Shyne (whereas 1 = waitlist-control group (WL)) number_components: 1 - 4 number of components (i.e., psychoeducation, cognitive restructuring, attention training, exposure) for each condition time_point: 1 - 4 time points: 1 = pre, 2 = mid, 3 = post, 4 = follow-up psychoed -1 or 1 = psychoeducation (component). -1 = absent; 1 = present cognition -1 or 1 = cognitive restructuring (component). -1 = absent; 1 = present attention -1 or 1 = attention training (component). -1 = absent; 1 = present expo -1 or 1 = exposure (component). -1 = absent; 1 = present sps_sum possible range: 0 - 80 sum of 20 SPS items, item response ranging 1 - 4 sias_sum possible range: 0 - 80 sum of 20 SIAS items, item response ranging 1 - 4 sps_sum_z-score – z-score over all time points for SPS sum sias_sum_z-score – z-score over all time points for SIAS sum composite_score – average (sps_sum_z-score, sias_sum_z-score) sad_diagnosis 0 or 1 1 = SAD (= social anxiety disorder) diagnosis present; 0 = SAD diagnosis absent. phq-9 possible range: 0 - 27 sum of 9 PHQ-9 items, item response ranging 0 - 3 gad-7 possible range: 0 - 21 sum of 7 GAD-7 items, item response ranging 0 - 3 sf-12_mental – SF-12 score for mental quality of life (the R code for the calculation can be found in the Appendix of the publication Šipka et al. (2024)) sf-12_physical – SF-12 score for physical quality of life (the R code for the calculation can be found in the Appendix of the publication Šipka et al. (2024)) csq-8 * – average of 8 CSQ-8 items, item response ranging 1 - 4 * WL did not use Shyne; therefore, for time point 3, no values. 4. Codes for missing data: NA = data was not collected for this time point empty cell = missing data