Adaptation and Validation of a Spanish Writing Self-Efficacy Scale in Quechua-Speaking Peruvian Basic Education Students

<i>Background:</i> Writing self-efficacy is a central construct in educational research, grounded in Bandura's social cognitive theory. However, most available instruments have been developed in Western and urban contexts, which limits their applicability to indigenous bilingual populations, such as Quechua-speaking students in Peru. The absence of validated scales in these contexts hinders the accurate assessment of writing self-efficacy and the implementation of educational strategies tailored to their linguistic and cultural needs. <i>Objective:</i> This study aimed to adapt and validate the Writing Self-Efficacy Scale (QEWSE) for Quechua-speaking students in basic education in Peru, ensuring its structural validity and reliability. <i>Methods:</i> An instrumental study was conducted with a sample of 265 secondary school students (50.6% female, 49.4% male), using convenience sampling. Confirmatory factor analysis (CFA) was applied to evaluate the structure of the instrument. Reliability was assessed using Cronbach's alpha and McDonald's omega coefficients. <i>Results:</i> The four first-order factor model (Ideation, Skills, Usage, and Self-Regulation) showed adequate fit indices (CFI = 0.92; TLI = 0.91; RMSEA = 0.05 [90% CI: 0.05-0.06]; SRMR = 0.05). However, the high inter-factor correlations (≥0.85) suggest the relevance of a second-order model, which demonstrated a reasonable fit (CFI = 0.92; TLI = 0.91; RMSEA = 0.06; SRMR = 0.05), supporting the interpretation of writing self-efficacy as a global construct. The scale showed high reliability across all factors (α and ω ranged from 0.74 to 0.90). <i>Conclusions:</i> The QEWS-S demonstrates strong psychometric properties for assessing writing self-efficacy among Quechua-speaking students. The hierarchical second-order model offers a more accurate theoretical and empirical representation, allowing for the reporting of an overall self-efficacy score while also providing specific scores for each dimension. These results support its use in bilingual and culturally diverse contexts and lay the groundwork for future research aimed at further examining discriminant validity and developing pedagogical interventions focused on strengthening students' confidence and writing skills.

Authors

Institutions

Publication Details

Journal
Behavioral Sciences
Published
2025-10-18
DOI
https://doi.org/10.3390/bs15101418
Primary Topic
Writing and Handwriting Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adaptation and Validation of a Spanish Writing Self-Efficacy Scale in Quechua-Speaking Peruvian Basic Education Students

Liset Z. Sairitupa-Sanchez, Wilter C. Morales-García, Mardel Morales-García, Gutember Peralta-Eugenio et al.
Behavioral Sciences
Writing and Handwriting Education
article

Adaptation and Validation of a Spanish Writing Self-Efficacy Scale in Quechua-Speaking Peruvian Basic Education Students

Liset Z. Sairitupa-Sanchez, Wilter C. Morales-García, Mardel Morales-García, Gutember Peralta-Eugenio, Moises Curo-Huacani, Róbert-János Ilyés
article en

Abstract

<i>Background:</i> Writing self-efficacy is a central construct in educational research, grounded in Bandura's social cognitive theory. However, most available instruments have been developed in Western and urban contexts, which limits their applicability to indigenous bilingual populations, such as Quechua-speaking students in Peru. The absence of validated scales in these contexts hinders the accurate assessment of writing self-efficacy and the implementation of educational strategies tailored to their linguistic and cultural needs. <i>Objective:</i> This study aimed to adapt and validate the Writing Self-Efficacy Scale (QEWSE) for Quechua-speaking students in basic education in Peru, ensuring its structural validity and reliability. <i>Methods:</i> An instrumental study was conducted with a sample of 265 secondary school students (50.6% female, 49.4% male), using convenience sampling. Confirmatory factor analysis (CFA) was applied to evaluate the structure of the instrument. Reliability was assessed using Cronbach's alpha and McDonald's omega coefficients. <i>Results:</i> The four first-order factor model (Ideation, Skills, Usage, and Self-Regulation) showed adequate fit indices (CFI = 0.92; TLI = 0.91; RMSEA = 0.05 [90% CI: 0.05-0.06]; SRMR = 0.05). However, the high inter-factor correlations (≥0.85) suggest the relevance of a second-order model, which demonstrated a reasonable fit (CFI = 0.92; TLI = 0.91; RMSEA = 0.06; SRMR = 0.05), supporting the interpretation of writing self-efficacy as a global construct. The scale showed high reliability across all factors (α and ω ranged from 0.74 to 0.90). <i>Conclusions:</i> The QEWS-S demonstrates strong psychometric properties for assessing writing self-efficacy among Quechua-speaking students. The hierarchical second-order model offers a more accurate theoretical and empirical representation, allowing for the reporting of an overall self-efficacy score while also providing specific scores for each dimension. These results support its use in bilingual and culturally diverse contexts and lay the groundwork for future research aimed at further examining discriminant validity and developing pedagogical interventions focused on strengthening students' confidence and writing skills.

Behavioral SciencesVol. 15(10)
Universidad César Vallejo (PE), Babeș-Bolyai University (RO), Universidad Peruana Unión (PE)
Openalex Percentile: Top 68%
Writing and Handwriting Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.