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Konstruieren von Vermessungsdaten: Ein interaktiver Ansatz von Gobo, Mauceri Neu+,

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Zuletzt aktualisiert am 27. Apr. 2024 08:54:01 MESZAlle Änderungen ansehenAlle Änderungen ansehen

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Neu: Neues, ungelesenes, ungebrauchtes Buch in makellosem Zustand ohne fehlende oder beschädigte ...
PublishedOn
2014-04-22
ISBN
9781849201766
EAN
9781849201766
Publication Year
2014
Type
Textbook
Format
Hardcover
Language
English
Publication Name
Constructing Survey Data : an Interactional Approach
Author
Giampietro Gobo, Sergio Mauceri
Item Length
9.5in
Publisher
SAGE Publications, The Limited
Item Width
6.7in
Item Weight
1 Oz
Number of Pages
392 Pages

Über dieses Produkt

Product Information

Proposing a post-positivist, interviewee-centred approach, Giampietro Gobo and Sergio Mauceris new book offers students and researchers a practical introduction to the process of collecting and analyzing survey data.

Product Identifiers

Publisher
SAGE Publications, The Limited
ISBN-10
1849201765
ISBN-13
9781849201766
eBay Product ID (ePID)
202596903

Product Key Features

Author
Giampietro Gobo, Sergio Mauceri
Publication Name
Constructing Survey Data : an Interactional Approach
Format
Hardcover
Language
English
Publication Year
2014
Type
Textbook
Number of Pages
392 Pages

Dimensions

Item Length
9.5in
Item Width
6.7in
Item Weight
1 Oz

Additional Product Features

Lc Classification Number
Ha31.2
Reviews
This book is an outstanding contribution to the literature on survey methodology, and one that uniquely incorporates the most thoroughgoing understanding of how interaction works in relation to obtaining quality survey data. It is a remarkable achievement and belongs on the desk of anyone interested in survey methodology and in doing and using survey research more generally., Giampietro Gobo and Sergio Mauceri have dedicated themselves to 'the new generation of social scientists', and they contribute to contemporary sociological methodology by expanding the borders not only of understanding but also implementing this in the 21st century., The book has the potential to provoke important debates among researchers and in a wide range of survey methodology circles...it can also be a valuable teaching resource, particularly when covering questionnaire design, interviewing and mixed methods...(with) a considerable amount of academic material covered and referenced., In the book Constructing Survey Data authors Giampietro Gobo and Sergio Mauceri have dedicated themselves 'the new generation of social scientists', and they contribute to contemporary sociological methodology by expanding the borders not only of understanding but also implementing this in the 21st century. , This insightful and innovative book will be of interest to survey researchers and qualitative researchers alike. I will be recommending that colleagues teaching survey methods, and our survey researchers, use Gobo and Mauceri's new book, along with those of us teaching field methods. We still teach our Masters programme with quantitative and qualitative methods in separate 'boxes', and Gobo and Mauceri's book shows the very necessary bridge between quantitative and qualitative methods. As such, it also contributes to the development of integrative mixed methods research., The book has the potential to provoke important debates among researchers and in a wide range of survey methodology circles...it can also be a valuable teaching resource, particularly when covering questionnaire design, interviewing and mixed methods...(with) a considerable amount of academic material covered and referenced., In this (very) well-written book, the authors make a persuasive case for reuniting surveys and interviews; those methods have come to be the paradigm examples of the differences between quantitative and qualitative methods, but Gobo and Mauceri demonstrate that they could be natural allies in a mixed-method approach. Rather than continue with the current uneasy division of labor between survey and interview research, the authors propose reintegrating them in a synthesis that has deep historical roots and promises more profound and nuanced interpretations., Constructing Survey Data is an ambitious, detailed, carefully pursued clarification of the history and current use of survey research by re-discovering an older, broader sense of "survey research," a perspective the authors call an "interactional survey approach" consistent with John Dewey's pragmatist perspective. The authors have created a comprehensive overview summarizing a huge literature and an equally comprehensive examination of the heart of contemporary social science research, a perspective that dominates contemporary studies favouring fixed-choice choices and digital outcomes., In this (very) well-written book, the authors make a persuasive case for reuniting surveys and interviews; those methods have come to be the paradigm examples of the differences between quantitative and qualitative methods, but Gobo and Mauceri demonstrate that they could be natural allies in a mixed-method approach. Rather than continue with the current uneasy division of labor between survey and interview research, the authors propose reintegrating them in a synthesis that has deep historical roots and promises more profound and nuanced interpretations.  , This book is an outstanding contribution to the literature on survey methodology, and one that uniquely incorporates the most thoroughgoing understanding of how interaction works in relation to obtaining quality survey data. It is a remarkable achievement and belongs on the desk of anyone interested in survey methodology and in doing and using survey research more generally. , Giampietro Gobo and Sergio Mauceri have dedicated themselves to 'the new generation of social scientists', and they contribute to contemporary sociological methodology by expanding the borders not only of understanding but also implementing this in the 21st century. 
Copyright Date
2014
Topic
Probability & Statistics / General, Research, Statistics
Lccn
2013-947122
Intended Audience
College Audience
Illustrated
Yes
Genre
Mathematics, Social Science

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USt-IdNr.:
  • GB 724498118
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