Actitudes hacia la estadística en universitarios peruano de mediana edad

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This paper studies the attitudes of college students concerning statistics; students who are taking the basic course in Statistics under an Adult Worker Student program at a private university in Lima, Peru. Two scales have been considered: Attitudes Toward Statistics (ATSE) proposed by Estrada (200...

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Detalles Bibliográficos
Autores: Tarazona Vargas, Enver, Luis Bazán, Jorge, Aparicio, Ana Sofia
Formato: artículo
Fecha de Publicación:2014
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:español
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/325076
Enlace del recurso:http://hdl.handle.net/10757/325076
Nivel de acceso:acceso abierto
Materia:Actitud del Estudiante
Psicometría
Estudiante Adulto
Enseñanza de la Estadística
Medición
Student Attitudes
Psychometrics
Adult Students
Statistics Education
Measurement
Descripción
Sumario:This paper studies the attitudes of college students concerning statistics; students who are taking the basic course in Statistics under an Adult Worker Student program at a private university in Lima, Peru. Two scales have been considered: Attitudes Toward Statistics (ATSE) proposed by Estrada (2002) and Attitudes Toward Statistics (ATSC) proposed by Cazorla et al (1999). The sample corresponds to 137 students with ages ranging from 32 to 42 years old, from four engineering majors, , 84% male and 52% who had taken a previous course in statistics. The item analysis was performed considering the Classical Test Theory (CTT) and Item Response Theory (IRT) under the Bayesian inference of the Samejima’s graded response model (Tarazona, 2013). The results reveal that AEC has a reliability of 0.93, and by comparison a shortened version of AEE after eliminating two items has a reliability of 0.88. Both scales are closely correlated are therefore are interchangeable. However AEE is the only one that reveals differences by specialty, especially among students of the School of Industrial Engineering (positive attitudes), and of Telecommunications and Network Engineering (less positive attitudes). Finally, other factors such as gender, different age groups and experience in a previous course of Statistics were insignificant in explaining attitudes toward statistics at any scale.
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