The Problem-Solving Decision-Making scale - Translation and validation for the Portuguese language: A cross-sectional study

Abstract

Objectives To translate and validate the Problem-Solving Decision-Making scale instrument into the Portuguese language. Design Cross-sectional study. Setting: participants The Problem-Solving Decision-Making scale was translated from English to Portuguese and then back-translated to obtain a final version. The questionnaire was then applied face-to-face from January to March 2019 in a representative sample of the Portuguese population (n=301 people aged 20 years or more) to validate the Problem-Solving Decision-Making scale in a Portuguese population. Outcomes Principal component analysis and Cronbach's alpha. Results Principal component analysis was used to evaluate the validity of the internal structure of the scale. The results identified two components: problem-solving and decision-making with an explained variance of 65.9%. For internal consistency, three different techniques were used and applied to the two components. All of the items have very good internal consistency (problem-solving Cronbach's alpha=0.931 and decision-making Cronbach's alpha=0.951). Conclusions The validation of the Portuguese scale agreed well with the existing literature. The scale can be divided into two components: the problem-solving component and the decision-making component. The translated scale demonstrated good internal consistency and can therefore be used in future studies.