Abstract
This study of depression assessment aims to demonstrate the process of joint calibration and transfer standards between the internationally recognized BDI and EBADEP-A, a new instrument recently validated in Brazil. In addition to the illustration of methodological procedures, our study is intended to contribute to the elaboration of normative references for the latter instrument as an assessment of depression symptoms. We included 1666 participants divided into subgroups of patients and non-patients. The respondents answered the EBADEP-A and the Brazilian version of BDI. Data were analyzed using the Rasch-Andrich Rating Scale Model. We performed concurrent calibration of items of both instruments. Next, for each instrument we performed calibration with item parameters fixed based on prior analysis. Based on that, norms of the BDI were transfered to EBADEP-A. This procedure can be applied to any test that measures the same construct. This procedure produces a scale on the same metric.
Highlights
RESUMEN Este estudio de evaluación de la depresión tiene como objetivo demostrar el proceso de calibración y transferencia conjunta entre el BDI y el EBADEP-A, un nuevo instrumento validado en Brasil
Considering the large number of publications with the BDI, an instrument already well established in the literature, this study aimed to develop cutoff points for EBADEP-A based on the standards developed for the BDI using Item Response Theory (IRT) procedures
This study aims to demonstrate the process of joint calibration and transfer standards between the internationally recognized BDI and EBADEP-A, a new instrument recently validated in Brazil
Summary
RESUMEN Este estudio de evaluación de la depresión tiene como objetivo demostrar el proceso de calibración y transferencia conjunta entre el BDI y el EBADEP-A, un nuevo instrumento validado en Brasil. According to Thomas (2011), IRT has some advantages over the classical models, such as reduction of measurement error; creation of computerized adaptive tests; detailed assessment of item bias; accuracy in the evaluation of changes after therapeutic interventions; fit index of persons and items according to the mathematical models; and allows for calibration and equalization measures. These advantages render IRT as substantially advantageous over classic methods of measurement that are seriously limited without these new features. IRT opens the range of analyzes for researchers in the area of measurement (e.g., Uebelacker, Strong, Weinstock, & Miller, 2009; Forkmann et al, 2009; Gibbons et al, 2011)
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