README-BIBLIOTECA GENERAL INFORMATION ........................... 1. Dataset title: Dataset_Regulation_Wellbeing_Workers 2. Authors: Mérida-López, Sergio; Extremera, Natalio; Quintana-Orts, Cirenia; Rey, Lourdes 3. Author contact information: Sergio Mérida-López, sergioml@uma.es METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: Professionals 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., Extremera, Natalio., Quintana-Orts, Cirenia y Rey, Lourdes (2019). In pursuit of job satisfaction and happiness: Testing the interactive contribution of emotion-regulation ability and workplace social support. Scandinavian Journal of Psychology, 60(1), 59-66. https://doi.org/10.1111/sjop.12483 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: Normal conditions in organizations where participants voluntarily engaged in participation (see additional information on the procedure in the publication). FILE OVERVIEW ---------------------- 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, marital status, occupation, work experience, and job tenure -Participants' response to each item in each questionnaire DATA-SPECIFIC INFORMATION: ------------------------------------------- 1. Name File: Dataset_ Regulation_Wellbeing_Workers 1.1. Variables list: Value labels: Emotion Management Task (Manage) Variable name: Mayer Salovey Caruso Emotional Intelligence Scale (MSCEIT) Description: Spanish version of Mayer Salovey Caruso Emotional Intelligence Scale (MSCEIT; Sanchez-Garcia et al., 2016) Units of measure or value labels: 5-point Likert scale ranging from 1 to 5. Each value in the range is specified in the database. Value labels: Emotion Relationship Task (Relation) Variable name: Mayer Salovey Caruso Emotional Intelligence Scale (MSCEIT) Description: Spanish version of Mayer Salovey Caruso Emotional Intelligence Scale (MSCEIT; Sanchez-Garcia et al., 2016) Units of measure or value labels: 5-point Likert scale ranging from 1 to 5. Each value in the range is specified in the database. Value labels: SUPP Variable name: Copenhagen Psychosocial Questionnaire II Description: Spanish version of Copenhagen Psychosocial Questionnaire II (Moncada et al., 2014) for social support from colleagues (3 items) and social support from supervisors (3 items) Units of measure or value labels: 5-point Likert scale ranging from 1 to 5. Each value in the range is specified in the database. Value labels: JSS Variable name: Job Satisfaction Scale Description: Spanish version of Job Satisfaction Scale (Extremera et al., 2018) 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. Value labels: SHS Variable name: Subjective Happiness Scale Description: Spanish version of Subjective Happiness Scale (Extremera & Fernández-Berrocal, 2014) Units of measure or value labels: 4-point Likert scale ranging from 1 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.