GENERAL INFORMATION 
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1. Dataset title: DATASET - Personal and contextual factors TPI


2. Authors: Jorge Luque-Jiménez, Cristina García-Ruiz, Carolina Martín-Gámez, Alicia Fernández-Oliveras


3. Author contact information: Cristina García-Ruiz, crisgarcia@uma.es


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

- Data were collected through an online questionnaire implemented during the 2023/2024, 2024/2025, and 2025/2026 academic years, at the beginning of the one-year Master in Secondary Education Teacher Preparation. Data collection followed the guidelines on the Protection of Personal Data and Guarantee of Digital Rights (Organic Law 3/2018) and the Ethics Committee of the University of Málaga (CEUMA) (reference no. 139-2023-H) 

2. Data processing methods
- Anonimization and codification of participants
- Codification of  Likert-type questions in a 1-5 scale (applicable to Q1-Q6, and Q9-Q11)
- Codification of multiple-response questions (0 for non-selected options and 1 for selected ones, to chose among 4 options -PrimaryEducation(1), Secondary Education (2), Baccalaureate (3) and Degree (4)-) (applicable to Q7 and Q8)

3. Software or instruments needed to interpret the data:
- R-based free software, JAMOVI (version 2.3.21) The Jamovi project (2022) (https://www.jamovi.org)

FILE OVERVIEW 
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The raw dataset is distributed in one file in .csv format (CSV UTF-8 codified). Another pdf file also described the R syntax of the analysis

DATA-SPECIFIC INFORMATION:
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[Si el conjunto de datos incluye varios archivos, y va a crear un único fichero readme.txt repita este apartado por cada archivo de datos que contenga variables ( Unicamente si las variables son diferentes)]

1. Name File: DATASET-Personal & Contextual Factors TPI (blind).csv
2. Name File: DATASET-Personal & Contextual Factors TPI-Rsyntax.pdf

1.1. Variables list:

Variable name: Academic year  
	Units of measure or value labels: [MAES2324; MAES2425; MAES2526]

Variable name: University  
	Units of measure or value labels: [UMA; UGR]

Variable name: Speciality
	Units of measure or value labels: [B&G; F&Q; T&P]

Variable name: Code
	Units of measure or value labels: [PSTyear-speciality-number]

Variable name: Age
	Units of measure or value labels: [< 25 years old; 25-35 years old; > 35 years old]

Variable name: Gender
	Units of measure or value labels: [Female; Male; Other]

Variable name: Gender
	Units of measure or value labels: [Female; Male; Other]

Variable name: Q1
	Units of measure or value labels: [1 to 5]

Variables name: Q2a-Q2k
	Units of measure or value labels: [1 to 5]

Variables name: Q3a-Q3d
	Units of measure or value labels: [1 to 5]

Variables name: Q4a-Q4h
	Units of measure or value labels: [1 to 5]

Variable name: Q5
	Units of measure or value labels: [1 to 5]

Variables name: Q6a-Q6k
	Units of measure or value labels: [1 to 5]

Variables name: Q7a-Q7p
	Units of measure or value labels: [0 to 1]

Variables name: Q8a-Q8r
	Units of measure or value labels: [0 to 1]

Variables name: Q9a-Q9c
	Units of measure or value labels: [1 to 5]

Variable name: Q10
	Units of measure or value labels: [1 to 5]

Variables name: Q11a-Q11h
	Units of measure or value labels: [1 to 5]