Dataset and validation of the approaches to study skills inventory for students

Autor: Dimitris Fouskakis, Skarlatos G. Dedos
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Scientific Data, Vol 8, Iss 1, Pp 1-7 (2021)
Scientific Data
ISSN: 2052-4463
Popis: There exists a vast amount of research on how students, in higher education, approach their studying and learning. Such research resulted in a multitude of questionnaires and tools to capture the way students perform in higher education institutions. One of these tools is the Approaches to Study Skills Inventory for Students (ASSIST) that was developed in the ’80 s and ’90 s. This inventory broadly classifies students, as approaching their study, in a deep, a strategic and/or a surface manner. Although it has gone through rigorous validation in many studies, there exist no publicly available dataset of the results of these studies and so the raw datasets cannot be re-used or integrated with other similar datasets. Here, we report and make publicly available the raw data of an 8-year longitudinal survey using this inventory in a cohort study of 1181 students from a department of a higher education institution. We validated our dataset using reliability analyses that confirmed, and compared well, with the results of previous studies.
Measurement(s) Study • learning Technology Type(s) questionnaire Factor Type(s) temporal interval • age • gender • parental education level Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location Athens Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.14665848
Databáze: OpenAIRE