Rasch analysis applied to a questionnaire on tobacco use among adolescent students
DOI:
https://doi.org/10.15448/1980-6108.2014.4.18689Keywords:
PSYCHOMETRICS, ADOLESCENTS, TOBACCO, RISK FACTORS, QUESTIONAIRES.Abstract
AIMS: To perform the psychometric analysis of a questionnaire on tobacco exposure in schoolers, through Rasch analysis.
METHODS: A cross-sectional study with students between 12 and 15 years was held in the city of Uruguaiana, State of Rio Grande do Sul. Data collection was performed by random sample and the information was obtained by a questionnaire composed of 14 questions adapted from a version in Portuguese of the Global Youth Tobacco Survey (GYTS) questionnaire. Data analysis was performed using psychometric analysis by the Rasch method, a mathematical model that seeks to analyze the probability of a particular item adjustment, depending only on the subject's ability and the item difficulty.
RESULTS: The study consisted of 956 students, which had a mean tobacco exposure of 5.3 (±2.2) logits, average - 0.66 (±0.99) logits, 0.70 logits error, dimensionality internal 0.99 (±0.39) logits and external dimensionality of 1.03 (±0.81) logits. With regard to the questionnaire items, they had a mean of 0.00 logits (± 1.38), 0.09 logits error, internal dimensionality of 0.99 (± 012) logits, external dimensionality of 1.03 (± 0, 30) logits, separation rate of items of 15.62 logits, and 51% reliability.
CONCLUSIONS: The use of Rasch method enabled us to verify the exposure of each participant to the different tobacco exposure conditions, and showed that the questionnaire that measures tobacco exposure should deal each question with different weights.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright
The submission of originals to Scientia Medica implies the transfer by the authors of the right for publication. Authors retain copyright and grant the journal right of first publication. If the authors wish to include the same data into another publication, they must cite Scientia Medica as the site of original publication.
Creative Commons License
Except where otherwise specified, material published in this journal is licensed under a Creative Commons Attribution 4.0 International license, which allows unrestricted use, distribution and reproduction in any medium, provided the original publication is correctly cited.