Measurement for the Social Sciences [recurso electrónico] : The C-OAR-SE Method and Why It Must Replace Psychometrics / by John R. Rossiter.

Por: Rossiter, John R [author.]Colaborador(es): SpringerLink (Online service)Tipo de material: TextoTextoEditor: New York, NY : Springer New York, 2011Descripción: XV, 169 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9781441971586Tema(s): Economics | Marketing | Social sciences -- Methodology | Psychometrics | Economics/Management Science | Marketing | Methodology of the Social Sciences | PsychometricsFormatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 658.8 Clasificación LoC:HF5410-5417.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Ch 1. Rationale of C-OAR-SE -- Ch 2. Validity and reliability -- Ch 3. Object classification and measures -- Ch 4. Attribute classification and measures -- Ch 5. Rater entity classification -- Ch 6. Selection of item-type and answer scale -- Ch 7. Enumeration and scoring rule -- Ch 8. Qualitative research measurement -- Ch 9. DROAVR application checklist -- Appendix -- References -- Index.
En: Springer eBooksResumen: This book proposes a revolutionary new theory of construct measurement – called C-OAR-SE – for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in: • management • marketing • information systems • organizational behavior • psychology • sociology C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book’s content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance – or rejection – of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem. The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for students and professional researcher alike.
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Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos HF5410 -5417.5 (Browse shelf(Abre debajo)) 1 No para préstamo 371840-2001

Ch 1. Rationale of C-OAR-SE -- Ch 2. Validity and reliability -- Ch 3. Object classification and measures -- Ch 4. Attribute classification and measures -- Ch 5. Rater entity classification -- Ch 6. Selection of item-type and answer scale -- Ch 7. Enumeration and scoring rule -- Ch 8. Qualitative research measurement -- Ch 9. DROAVR application checklist -- Appendix -- References -- Index.

This book proposes a revolutionary new theory of construct measurement – called C-OAR-SE – for the social sciences. The acronym is derived from the following key elements: construct definition; object representation; attribute classification; rater entity identification; selection of item type; enumeration and scoring. The new theory is applicable to the design of measures of constructs in: • management • marketing • information systems • organizational behavior • psychology • sociology C-OAR-SE is a rationally rather than empirically-based theory and procedure. It can be used for designing measures of the most complex and also the most basic constructs that we use in social science research. C-OAR-SE is a radical alternative to the traditional empirically-based psychometric approach, and a considerable amount of the book’s content is devoted to demonstrating why the psychometric approach does not produce valid measures. The book argues that the psychometric approach has resulted in many misleading findings in the social sciences and has led to erroneous acceptance – or rejection – of many of our main theories and hypotheses, and that the C-OAR-SE approach to measurement would correct this massive problem. The main purpose of this book is to introduce and explain C-OAR-SE construct measurement theory in a way that will be understood by all social science researchers and that can be applied to designing new, more valid measures. Featuring numerous examples, practical applications, end-of-chapter questions, and appendices, the book will serve as an essential resource for students and professional researcher alike.

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