Interpreting Quantitative Data

Häftad, Engelska, 2002

Av David Byrne, D. S. Byrne

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How do quantitative methods help us to acquire knowledge of the real world? What are the `do's' and `don'ts' of effective quantitative research?

This refreshing and accessible book provides students with a novel and useful resource for doing quantitative research. It offers students a guide on how to: interpret the complex reality of the social world; achieve effective measurement; understand the use of official statistics; use social surveys; understand probability and quantitative reasoning; interpret measurements; apply linear modelling; understand simulation and neural nets; and integrate quantitative and qualitative modelling in the research process.

Jargon-free and written with the needs of students in mind, the book will be required reading for students interested in using quantitative research methods.

Produktinformation

Utgivningsdatum2002-02-01
Mått170 x 242 x 11 mm
Vikt340 g
FormatHäftad
SpråkEngelska
Antal sidor192
Upplaga1
FörlagSAGE Publications
ISBN9780761962625

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David Byrne is Emeritus Professor of Sociology and Applied Social Sciences at the University of Durham. He has published widely on the methodology of social research, for example, in Interpreting Quantitative Data (2002) and with Charles Ragin edited The SAGE Handbook of Case Based Methods (2009). His major theoretical engagement is with the deployment of the complexity frame of reference across the social sciences—see Complexity Theory and the Social Sciences: The State of the Art (with Gillian Callaghan, 2011) with a particular focus on application to policy and practice. His current research focus is on the implications of the transition to the post-industrial in welfare capitalism—Paying for the Welfare State in the 21st Century (with Sally Ruane, 2011) and Class After Industry (2018).

IntroductionInterpreting the Real and Describing the ComplexWhy We Have to MeasureThe Nature of MeasurementWhat We Measure and How We MeasureThe State′s MeasurementThe Construction and Use of Official StatisticsMeasuring the Complex WorldThe Character of Social SurveysProbability and Quantitative ReasoningInterpreting MeasurementsExploring, Describing and ClassifyingLinear ModellingClues as to CausesCoping with Non-Linearity and EmergenceSimulation and Neural NetsQualitative ModellingIssues of Meaning and CauseConclusion