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  4. Design and validation of a scale of motivation for scientific publication in Peruvian university professors (MoSCPU-UP)
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Design and validation of a scale of motivation for scientific publication in Peruvian university professors (MoSCPU-UP)

Author(s)
Renzo Felipe Carranza Esteban
Óscar Mamani-Benito
Salomón Huancahuire‐Vega  
Nancy Casildo-Bedón  
Isabel Cabrera-Orosco
Josué Edison Turpo Chaparro  
Date Issued
5 de septiembre de 2024
Type
Article
Volume
9
DOI
10.3389/feduc.2024.1378626
Abstract
The study’s objective was to design and validate a motivation scale for scientific publication in Peruvian university professors (MoSCPU-UP). Instrumental research where a scale of 13 items distributed in 2 factors (Intentional State and Commitment-will) was designed and validated. The sample comprised 546 university professors (62.1% male) aged 22 to 67 ( M = 45.05 and DS = 9.32). The sample was separated into two subgroups for the exploratory and confirmatory factor analysis. For analyzing the validity of evidence based on the content, the Aiken V coefficient was used; for construct validity, exploratory and confirmatory factor analysis was used. Reliability was studied through Cronbach’s alpha coefficient. The results show that the items received a favorable evaluation (Aiken’s V > 0.70). Goodness of fit indices were adequate (IFC = 0.93, TLI = 0.92, and RMSEA = 0.08). Likewise, the correlation between factors 1 and 2 was significant ( p < 0.05). Evidence of validity based on the relationship with other variables with measures of professional self-efficacy is significant and acceptable reliability ( α = 0.91; 95% CI = 0.89–0.92). In conclusion, the MoSCPU-UP scale is an instrument that reports evidence of validity and reliability.
Keywords

Scale (ratio)

Computer science

Library science

Engineering managemen...

Mathematics education...

Psychology

Engineering

Data science

Geography

Cartography

Scale (ratio)

Computer science

Library science

Engineering managemen...

Mathematics education...

Psychology

Engineering

Data science

Geography

Cartography

Life Sciences Agricul...

Social Sciences Psych...

Social Sciences Socia...

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