README-BIBLIOTECA GENERAL INFORMATION ........................... 1. Dataset title: Dataset_school_level_risk_factors_bullyvictims 2. Authors: Quintana-Orts, Cirenia; Mora-Merchán, Joaquín A.; Muñoz-Fernández, Noelia; Del Rey, Rosario 3. Author contact information: Cirenia Quintana-Orts, cquintana@uma.es METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: Adolescents participated voluntarily and anonymously (prior consent from educational centres and legal tutors) filling out a pencil-and-paper some questionnaires. - Bibliographic citation of the article from which these research data have been generated: Quintana-Orts, C., Mora-Merchán, J. A., Muñoz-Fernández, N., & Rey, R. D. (2024). Bully-victims in bullying and cyberbullying: An analysis of school-level risk factors. Social Psychology of Education, 27(2), 587-609. https://doi.org/10.1007/s11218-023-09846-3 2. Data processing methods - Data was obtained through quantitative analysis. 3. Software or instruments needed to interpret the data: SPSS version 23 or open access programs that read .csv files such as Jasp or Jamovi. 4. Standards and calibration information, if appropriate: Not applicable. 5. Environmental or experimental conditions: Classroom conditions in schools. FILE OVERVIEW ---------------------- The dataset is distributed in one single file in .csv format. This provides information on: -Random number assigned to the participant -Sociodemographic variables: Gender, age, nationality, and academic year -Participants' response to each item in each questionnaire DATA-SPECIFIC INFORMATION: ------------------------------------------- 1. Name File: Dataset_school_level_risk_factors_bullyvictims 1.1. Variables list: Value labels: ECIQ Variable name: European Cyberbullying Intervention Project Questionnaire Description: Spanish version of European Cyberbullying Intervention Project Questionnaire (Del Rey et al., 2015) Units of measure or value labels: 5-point Likert ranging from 0 to 4. Each value in the range is specified in the database. Value labels: EBIQ Variable name: European Bullying Intervention Project Questionnaire Description: Spanish version of European Cyberbullying Intervention Project Questionnaire (Ortega-Ruiz et al., 2016) Units of measure or value labels: 5-point Likert ranging from 0 to 4. Each value in the range is specified in the database. Value labels: DERS Variable name: Emotional dysregulation Scale Description: Spanish version of the Difficulties in Emotion Regulation Scale (Victor & Klonsky, 2016). Units of measure or value labels: 5-point Likert ranging from 1 to 5. Each value in the range is specified in the database. Value labels: Teacher_support Variable name: Perceived teacher support Description: Spanish version of the corresponding dimension of teacher support from the student–teacher connectedness scale (García-Moya et al., 2020). Students Units of measure or value labels: 4-point Likert ranging from 1 to 4. Each value in the range is specified in the database. Value labels: SCS Variable name: Perceived school connectedness Description: Spanish version of School Connectedness Scale (Furlong et al., 2011) Units of measure or value labels: 5-point Likert ranging from 0 to 4. Each value in the range is specified in the database. Value labels: ACR Variable name: Aggressive conflict resolution Description: Spanish version of the Aggressive conflict resolution subscale of Conflictalk (Garaigordobil et al., 2016) Units of measure or value labels: 5-point Likert ranging from 1 to 5. Each value in the range is specified in the database. Value labels: CONV Variable name: School-wide Climate Scale Description: Spanish version of the corresponding dimensions of normative adjustment, peer social network, and perceived teacher apathy from the School-wide Climate Scale (Del Rey et al., 2017). Units of measure or value labels: 5-point Likert ranging from 0 to 4. Each value in the range is specified in the database. 1.2. Codes or symbols: - The meaning of each code used in each sociodemographic variable is specified in the dataset. 1.3. Special formats or abbreviations used: - In each case, the abbreviation used is specified by the label of each variable.