README-BIBLIOTECA


GENERAL INFORMATION 
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1. Dataset title: Dataset_aggression_withdrawal_teachers

2. Authors: Mérida-López, Sergio & Extremera, Natalio

3. Author contact information: Sergio Mérida-López, sergioml@uma.es


METHODOLOGICAL INFORMATION 
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1. Description of the methods for collection/generation of data: 

Teaching professionals from secondary school centers participated voluntarily and anonymously filling out a pencil-and-paper some questionnaires.

- Bibliographic citation of the article from which these research data have been generated:

Mérida-López, Sergio y Extremera, Natalio (2022). Student aggression against teachers, stress, and emotional intelligence as predictors of withdrawal intentions among secondary school teachers. Anxiety, Stress, & Coping, 35(3), 365-378. https://doi.org/10.1080/10615806.2021.1948020

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:
Typical conditions in educational settings where participants took part voluntarily (see the publication for additional details on the procedure).

FILE OVERVIEW 
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The dataset is distributed in one single file in .csv format. This provides information on:
   -Random number assigned to the participant (ID)
   -Sociodemographic variables: Sex, age, contract type, teaching experience, organizational tenure, and region of the center
   -Participants' response to each item in each questionnaire

DATA-SPECIFIC INFORMATION:
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1. Name File: Dataset_aggression_withdrawal_teachers

1.1. Variables list:

Value labels: aggress (student aggression against teachers)
Variable name: self-report measure for student aggression against teachers
 	Description: Spanish version of self-report measure for student aggression against teachers (original version published by Dzuka & Dalbert, 2007; 4 items)
	Units of measure or value labels: 3-point Likert scale ranging from 0 to 2. Each value in the range is specified in the database.

Value labels: PSS
Variable name: Perceived Stress Scale
 	Description: Spanish version of the Perceived Stress Scale (Vallejo et al., 2018)
	Units of measure or value labels: 5-point Likert scale ranging from 0 to 4. Each value in the range is specified in the database.

Value labels: OWIS 
Variable name: Occupational Withdrawal Intentions Scale
 	Description: Spanish version for adolescents of Occupational Withdrawal Intentions Scale (Extremera et al., 2018)
	Units of measure or value labels: 9-point Likert scale ranging from 1 to 9. Each value in the range is specified in the database.

Value labels: EI 
Variable name: Wong and Law Emotional Intelligence Scale
	Description: Spanish version of Wong and Law Emotional Intelligence Scale (Extremera et al., 2019)  
	Units of measure or value labels: 7-point Likert scale ranging from 1 to 7. 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.