Cross-Cultural Adaptation and Validation of the Levenstein Perceived Stress Questionnaire (PSQ) in Ecuador
CADENA POVEA, H. R.; Hernandez-Martinez, M. A.; Bastidas-Amador, A. G.; Aguirre-Villarreal, A. D.; Herrera-Falconi, S. A.
Show abstract
ObjectiveThis study aimed to adapt and validate Levensteins Perceived Stress Questionnaire (PSQ) within the Ecuadorian sociocultural context. The PSQ measures perceived stress across two temporal frames: general (past two years) and specific (past month). MethodsThe research followed five sequential phases. Study 1: linguistic and cultural adaptation through standardized translation, back-translation, expert review, and a pilot test with 300 participants. Study 2: item refinement with an additional sample of 300 participants. Study 3: Exploratory Factor Analysis (EFA) with 395 participants. Study 4: Confirmatory Factor Analysis (CFA) with 391 participants, complemented by Structural Equation Modeling (SEM) to evaluate factorial structure, internal consistency, and convergent and discriminant validity through correlational analyses. Study 5: multigroup factorial invariance analysis by biological sex. ResultsThe original questionnaire of 30 items across seven factors was refined for the Ecuadorian context into two versions: a General version with 21 items grouped into three factors, and a Specific version with 23 items distributed across four factors. Both versions demonstrated strong reliability, along with satisfactory convergent and discriminant validity. ConclusionsThe findings endorse the PSQ-593 as a reliable and culturally appropriate instrument for assessing perceived stress among Ecuadorian university faculty. Its validation contributes to a deeper understanding of stress as a psychological risk factor for mental health.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cross-Cultural Validation of Acculturation Measures: Expanding the East Asian Acculturation Framework for Global Applicability 98%
- Analysis of University Students’ Mental Health from the Perspective of Occupational Harmony 95%
- Family Vulnerability Scale: evidence of content and internal structure validity 95%
Similar papers in this journal
- Anxiety, depression, and insomnia among nurses during the full liberalization of COVID-19: A multicenter cross-sectional analysis of the high-income region in China 93%
- Increasing trends in mental health problems among Chinese young adolescents: results from repeated cross-sectional data in Changsha 2016-2020 92%
- Knowledge, attitudes, and practices among the general population during COVID-19 outbreak in Iran: A national cross-sectional survey 92%
Similar papers in this journal
- Conspiracy beliefs are associated with lower knowledge and higher anxiety levels regarding COVID-19 among students at the University of Jordan 94%
- The experience of distress during the COVID-19 outbreak: a cross-country examination on the fear of COVID-19 and the sense of loneliness 94%
- Acculturation stressors and academic adjustment among Nepalese students in South Korean higher education institutions 94%
Similar papers in this journal
- Reliability and Validity of the Japanese Version of the Survey of Perceived Organizational Support 94%
- A cross-sectional study of socioeconomic status and treatment interruption among Japanese workers during the COVID-19 pandemic 90%
- Workplace Infection Prevention Control Measures and Work Engagement During the COVID-19 Pandemic among Japanese Workers: A Prospective Cohort Study 90%
Similar papers in this journal
- Development and Initial Validation of the Duke Misophonia Questionnaire 95%
- Quality of life and depressive symptoms among Peruvian university students during the COVID-19 pandemic 94%
- The measurement properties and acceptability of a new parent-infant bonding tool (‘Me and My Baby’) designed for use in a universal healthcare setting in the UK 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.