Dataset for: Behavioral, Cognitive, and Social Determinants of Digital Trading Investment Intention: Evidence from University Students in an Emerging Fintech Economy

Published: 12 June 2026| Version 1 | DOI: 10.17632/2cfvbz57kf.1
Contributors:
, Juan Diego Ochoa Crespo

Description

This dataset contains anonymized survey responses collected from 1,000 university students for the study entitled "Behavioral, Cognitive, and Social Determinants of Digital Trading Investment Intention: Evidence from University Students in an Emerging Fintech Economy". The repository includes: • Anonymized dataset • Survey instrument • Informed consent form • Codebook • Supporting documentation No personally identifiable information is included.

Files

Steps to reproduce

The dataset was collected through an anonymous survey administered to 1,000 university students. Responses were measured using a five-point Likert scale ranging from 1 (Strongly Disagree) to 5 (Strongly Agree). The final dataset contains the 26 indicators retained after psychometric refinement and confirmatory factor analysis. The study examined the influence of overconfidence, herding behavior, financial literacy, and risk perception on digital trading investment intention. Data were analyzed using covariance-based structural equation modeling (CB-SEM) with the WLSMV estimator in R (lavaan package), considering the ordinal nature of the indicators. This repository includes the anonymized dataset, survey instrument, informed consent form, codebook, and supporting documentation required to understand and reproduce the analyses reported in the associated manuscript.

Institutions

Categories

Business Administration, Behavioral Finance, Structural Equation Modeling, Higher Education, Fintech

Licence