README-BIBLIOTECA GENERAL INFORMATION ........................... 1. Dataset title: Dataset_longitudinal_sample_SMAQ_EI_TII_BAS_ED_FSII 2. Authors: Pelaez-Fernandez, Maria Angeles; Samson, Lindsay; Cribbie, Robert A.; Mills, Jennifer, S.; Extremera, Natalio 3. Author contact information: Pelaez-Fernandez, Maria Angeles, mapelaez@uma.es METHODOLOGICAL INFORMATION ................................. 1. Description of the methods for collection/generation of data: University students participated voluntarily and anonymously filling out a pencil-and-paper some questionnaires. 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: Online questionnaires. FILE OVERVIEW ---------------------- The dataset is distributed in one single file in .csv format. This provides information on: -Sociodemographic variables: Age, gender, civil status, educational level -Participants' response to each item in each questionnaire DATA-SPECIFIC INFORMATION: ------------------------------------------- 1. Name File: Dataset_longitudinal sample_SMAQ_EI_TII_BAS_ED_FSII 1.1. Variables list: Time 1: Value labels: T1_EI Variable name: T1_Wong and Law Emotional Intelligence Scale Description: Spanish version of the Wong and Law Emotional Intelligence Scale (Extremera et al., 2019). Units of measure or value labels: 7-point Likert ranging from 1 to 7. Each value in the range is specified in the database. Value labels: T1_TII Variable name: T1_Sociocultural Attitudes Towards Appearance Questionnaire Description: Nine item General Internalization subscale of the Sociocultural Attitudes Towards Appearance Questionnaire (SATAQ-3; Thompson et al., 2004) translated into Spanish 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: T1_SMAQ Variable name: T1_Social Media Addiction Questionnaire Description: Social Media Addiction Questionnaire (SMAQ; Hawi & Samaha, 2017) translated into Spanish. Units of measure or value labels: 5-point Likert ranging from 1 to 7. Each value in the range is specified in the database. Time 2: Value labels: T2_S_EDE_Q Variable name: T2_Spanish_Eating_Disorders_Examination_Questionnaire Description: Spanish version of the Eating Disorders Examination Questionnaire (Pelaez-Fernandez, M. A., Labrador, F. J. & Raich, R. M. (2012). Units of measure or value labels: 6-point Likert ranging from 0 to 6 (items 1-15 and 29-26). Each value in the range is specified in the database. Value labels: T2_FSII Variable name: T2_Frequency of Suicidal Ideation Inventory Description: Spanish version of the Frequency of Suicidal Ideation Inventory (Sanchez-Alvarez et al., 2020). 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: T2_BAS_2 Variable name: T2_Body appreciation scale Description: Body Appreciation Scale (BAS-2; Tylka, Wood-Barcalow, 2015) translated into Spanish. Units of measure or value labels: 5-point Likert ranging from 1 to 5. 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.