Testing invariance between web and paper students satisfaction surveys. A case study
| Autor: | Martha Giraldo O'Meara, Mónica Martínez-Gómez, Juan A. Marin-Garcia |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
Organizational Behavior and Human Resource Management
Strategy and Management Teaching method ESTADISTICA E INVESTIGACION OPERATIVA lcsh:A Sample (statistics) Surveys 010501 environmental sciences Enquestes 01 natural sciences Education Measurement equivalence Measurement equivalence Students’ satisfaction and motivation Job Diagnostic Survey Multigroup confirmatory analysis Higher education Active methodologies Management of Technology and Innovation Accounting 0502 economics and business Ensenyament i aprenentatge::Ensenyament universitari [Àrees temàtiques de la UPC] Symmetry (Mathematics) Mathematics education Econometrics Active methodologies Measurement invariance Higher education Students satisfaction and motivation Job Diagnostic Survey Business and International Management Students’ satisfaction and motivation Reliability (statistics) 0105 earth and related environmental sciences Factor analysis Data collection 05 social sciences Matemàtiques i estadística [Àrees temàtiques de la UPC] Educational surveys Variance (accounting) Confirmatory factor analysis Enquestes educatives Simetria (Matemàtica) ORGANIZACION DE EMPRESAS Multigroup confirmatory analysis lcsh:General Works Psychology 050203 business & management |
| Zdroj: | Intangible Capital; 2017: Vol.: 13 Núm.: 5 Intangible Capital, Vol 13, Iss 5, Pp 879-902 (2017) RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname UPCommons. Portal del coneixement obert de la UPC Universitat Politècnica de Catalunya (UPC) |
| ISSN: | 2014-3214 |
| DOI: | 10.3926/ic.1049 |
| Popis: | [EN] Purpose: This paper studied the measurement invariance (MI) across web-based and paper-based surveys to evidence if both techniques of data collection can be regarded as equivalent. Design/methodology: We develop a multigroup confirmatory factor analysis (MGCFA) with Maximum Likelihood Estimation to asses measurement invariance of the Job Diagnostic Survey (JDS) adapted to teaching, with data collected from paper and web surveys. Sample from paper surveys was constituted by 294 student of a Spanish public university in the academic years 2007-08, 2008-09 and 2009-10. Internet surveys were administered through an open source survey application called Lime Survey. We received 241 completed questionnaires. Findings: Results show that metric invariance, covariance invariance, variance of latent factors invariance and measurement errors invariance can be established between two groups. We can conclude that both methods of collecting data can be considered equivalent. Research limitations/implications: This study was done with a particular sample and strict focus questionnaire and we might not generalize the findings. It should be extended in the future to include other universities and graduate students. Originality/value: Results showed that the factor structures remained invariant across the internet-based and paper-based groups, that is to say, both methods of collecting data can be considered equivalent, with the same factor structure, factor loadings, measurement errors of factors and the same reliability. These findings are useful for researchers since they add a new sample in which web and paper questionnaires are equivalent and for teachers to desire to change the teaching methodology at university, encourage students' participation and teamwork through active methodologies. This paper has been written with financial support from the Project "Validacion de las Competencias Transversales de Innovacion mediante un enfoque formativo". (GV/2016/004) de la Conselleria d'Educacio, Investigacio, Cultura i Esport (Generalitat Valenciana). |
| Databáze: | OpenAIRE |
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