Assessing the Quality of Survey Data / Jörg Blasius & Victor Thiessen
Por: Blasius, Jörg [aut.].
Colaborador(es): Thiessen, Victor [aut.].
Tipo de material: TextoSeries Research methods for social scientists: Editor: London : SAGE Publications, 2012Edición: 1a ed.Descripción: 174 p. : gràf., taules ; 24 cm.ISBN: 9781849203326.Tema(s): Enquestes socials -- Metodologia | Ciències socials -- Investigació -- Metodologia | Ciències socials -- Mètodes estadísticsGénero/Forma: CIENCIAS SOCIALES | DISEÑO DE CUESTIONARIO | ENCUESTAS | ESTADÍSTICA | METODOLOGÍA | INVESTIGACIÓN SOCIAL | PROCESAMIENTO DE DATOS | ANÁLISIS DE DATOSResumen: This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.Tipo de ítem | Ubicación actual | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
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Monografies | Centre d'Estudis Demogràfics | MET-Enquestes-BLA (Navegar estantería) | Prestado | Localització: Prestatgeria Estadística | 17.09.2024 | 009953 |
Inclou referències bibliogràfiques i índex.
This is a book for any researcher using any kind of survey data. It introduces the latest methods of assessing the quality and validity of such data by providing new ways of interpreting variation and measuring error. By practically and accessibly demonstrating these techniques, especially those derived from Multiple Correspondence Analysis, the authors develop screening procedures to search for variation in observed responses that do not correspond with actual differences between respondents. Using well-known international data sets, the authors exemplify how to detect all manner of non-substantive variation having sources such as a variety of response styles including acquiescence, respondents' failure to understand questions, inadequate field work standards, interview fatigue, and even the manufacture of (partly) faked interviews.
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