20
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Propriedades psicométricas na avaliação de instrumentos: avaliação da confiabilidade e da validade Translated title: Psychometric properties in instruments evaluation of reliability and validity

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Resumo Instrumentos de medida desempenham um importante papel na pesquisa, na prática clínica e na avaliação de saúde. Estudos sobre a qualidade desses instrumentos fornecem evidências de como as propriedades de medida foram avaliadas, auxiliando o pesquisador na escolha da melhor ferramenta para utilização. A confiabilidade e a validade são consideradas as principais propriedades de medida de tais instrumentos. Confiabilidade é a capacidade em reproduzir um resultado de forma consistente, no tempo e no espaço. Validade refere-se à propriedade de um instrumento medir exatamente o que se propõe. Neste artigo são apresentados, discutidos e exemplificados os principais critérios e testes estatísticos empregados na avaliação da confiabilidade (estabilidade, consistência interna e equivalência) e validade (conteúdo, critério e construto) de instrumentos. A avaliação das propriedades de medida de instrumentos é útil para subsidiar a seleção de instrumentos válidos e confiáveis, de modo a assegurar a qualidade dos resultados dos estudos.

          Translated abstract

          Abstract Measurement instruments play an important role in research, clinical practice and health assessment. Studies on the quality of these instruments provide evidence of how the measurement properties were assessed, helping the researcher choose the best tool to use. Reliability and validity are considered the main measurement properties of such instruments. Reliability is the ability to reproduce a result consistently in time and space. Validity refers to the property of an instrument to measure exactly what it proposes. In this article, the main criteria and statistical tests used in the assessment of reliability (stability, internal consistency and equivalence) and validity (content, criterion and construct) of instruments are presented, discussed and exemplified. The assessment of instruments measurement properties is useful to subsidize the selection of valid and reliable tools, in order to ensure the quality of the results of studies.

          Related collections

          Most cited references 33

          • Record: found
          • Abstract: found
          • Article: not found

          Coefficient alpha and the internal structure of tests

           Lee Cronbach (1951)
          Psychometrika, 16(3), 297-334
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Validity and reliability of measurement instruments used in research.

            Issues related to the validity and reliability of measurement instruments used in research are reviewed. Key indicators of the quality of a measuring instrument are the reliability and validity of the measures. The process of developing and validating an instrument is in large part focused on reducing error in the measurement process. Reliability estimates evaluate the stability of measures, internal consistency of measurement instruments, and interrater reliability of instrument scores. Validity is the extent to which the interpretations of the results of a test are warranted, which depends on the particular use the test is intended to serve. The responsiveness of the measure to change is of interest in many of the applications in health care where improvement in outcomes as a result of treatment is a primary goal of research. Several issues may affect the accuracy of data collected, such as those related to self-report and secondary data sources. Self-report of patients or subjects is required for many of the measurements conducted in health care, but self-reports of behavior are particularly subject to problems with social desirability biases. Data that were originally gathered for a different purpose are often used to answer a research question, which can affect the applicability to the study at hand. In health care and social science research, many of the variables of interest and outcomes that are important are abstract concepts known as theoretical constructs. Using tests or instruments that are valid and reliable to measure such constructs is a crucial component of research quality.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              The COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN) and how to select an outcome measurement instrument

              Background: COSMIN (COnsensus-based Standards for the selection of health Measurement INstruments) is an initiative of an international multidisciplinary team of researchers who aim to improve the selection of outcome measurement instruments both in research and in clinical practice by developing tools for selecting the most appropriate available instrument. Method: In this paper these tools are described, i.e. the COSMIN taxonomy and definition of measurement properties; the COSMIN checklist to evaluate the methodological quality of studies on measurement properties; a search filter for finding studies on measurement properties; a protocol for systematic reviews of outcome measurement instruments; a database of systematic reviews of outcome measurement instruments; and a guideline for selecting outcome measurement instruments for Core Outcome Sets in clinical trials. Currently, we are updating the COSMIN checklist, particularly the standards for content validity studies. Also new standards for studies using Item Response Theory methods will be developed. Additionally, in the future we want to develop standards for studies on the quality of non-patient reported outcome measures, such as clinician-reported outcomes and performance-based outcomes. Conclusions: In summary, we plea for more standardization in the use of outcome measurement instruments, for conducting high quality systematic reviews on measurement instruments in which the best available outcome measurement instrument is recommended, and for stopping the use of poor outcome measurement instruments.
                Bookmark

                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Journal
                ress
                Epidemiologia e Serviços de Saúde
                Epidemiol. Serv. Saúde
                Secretaria de Vigilância em Saúde - Ministério da Saúde do Brasil (Brasília, DF, Brazil )
                1679-4974
                2237-9622
                September 2017
                : 26
                : 3
                : 649-659
                Affiliations
                Campinas São Paulo orgnameUniversidade Estadual de Campinas orgdiv1Faculdade de Enfermagem Brazil
                Article
                S2237-96222017000300649
                10.5123/s1679-49742017000300022
                28977189

                This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 53, Pages: 11
                Product
                Product Information: website

                Comments

                Comment on this article