Economic preferences and cognitive abilities among teenagers in Spain.

IF 5.8 2区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Scientific Data Pub Date : 2025-01-03 DOI:10.1038/s41597-024-04298-6

Mónica Vasco, Antonio Alfonso, Andreu Arenas, Antonio Cabrales, José A Cuesta, Antonio M Espín, María Paz Espinosa, Teresa García-Muñoz, Àlex Izquierdo Nofuentes, Diego Jorrat, Jaromír Kovářík, Pablo Lomas, Alfonso Carlos Martínez-Estudillo, Daniel Montolio, María Del Pino Ramos-Sosa, Patricia Román, Ángel Sánchez, María José Vázquez-De Francisco, Pablo Brañas-Garza

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Abstract

This dataset originates from TeensLab, a consortium of Spanish Universities dedicated to behavioral research involving Spanish teenagers. The dataset contains data from 33 distinct educational institutions across Spain, accounting for a total of 5,890 students aged 10 to 23 (M = 14.10, SD = 1.94), representing various educational levels such as primary school, secondary school, sixth form and vocational training. The main dimensions covered in this dataset include (i) economic preferences, (ii) cognitive abilities and (iii) strategic thinking. Additionally, a range of supplementary variables is included alongside socio-demographic factors, capturing data on aspects like physical appearance, mood and expectations, among others.

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来源期刊

Scientific Data Social Sciences-Education

CiteScore

11.20

自引率

4.10%

发文量

689

审稿时长

16 weeks

期刊介绍： Scientific Data is an open-access journal focused on data, publishing descriptions of research datasets and articles on data sharing across natural sciences, medicine, engineering, and social sciences. Its goal is to enhance the sharing and reuse of scientific data, encourage broader data sharing, and acknowledge those who share their data. The journal primarily publishes Data Descriptors, which offer detailed descriptions of research datasets, including data collection methods and technical analyses validating data quality. These descriptors aim to facilitate data reuse rather than testing hypotheses or presenting new interpretations, methods, or in-depth analyses.

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