Data analysis for the social sciences : integrating theory and practice / Douglas Bors.
Tipo de material: TextoEditor: London : SAGE Publications Ltd, 2018Descripción: 642 páginas : ilustraciones ; 24 cmTipo de contenido: texto Tipo de medio: sin medio Tipo de portador: volumenISBN: 9781446298480Tema(s): Ciencias sociales -- Investigación | Ciencias sociales -- Métodos estadísticosClasificación LoC:HA29 | .B67Clasificación: Resumen: Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.Tipo de ítem | Biblioteca actual | Tipo de materiales | Clasificación | Copia número | Estado | Notas | Fecha de vencimiento | Código de barras |
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Préstamo general | Biblioteca Gerardo Cornejo Murrieta Acervo General | Libro | HA29 .B67 (Navegar estantería(Abre debajo)) | Ej. 1 | Disponible | FIL GDL 2017 | 60304 |
Incluye referencias bibliográficas (páginas 630-636) e índices.
Accessible, engaging, and informative, this text will help any social science student approach statistics with confidence. With a well-paced and well-judged integrated approach rather than a simple linear trajectory, this book progresses at a realistic speed that matches the pace at which statistics novices actually learn. Packed with global, interdisciplinary examples that ground statistical theory and concepts in real-world situations, it shows readers not only how to apply newfound knowledge using IBM® SPSS® Statistics, but also why they would want to. Spanning statistics basics like variables, constants, and sampling to t-tests, multiple regression, and factor analysis, it builds statistical literacy while also covering key research principles like research questions, error types, and results reliability.
FIL GDL 2017 Compra 2017/11/27 60304 736.00
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