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Synopsis
Before the early 1980s, much attention had been given in the social survey literature to the analysis and interpretation of data, but much less to the problems of constructing the individual datum. Yet without good work at datum level a good data set cannot be produced, and without good data no useful analyses and interpretations may be made. What do we mean by ‘survey data’? What are ‘good’ data, and how do we recognise them?
Originally published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach – or a more assertive formulation of an old approach – to the testing of data for validity. He specifies conditions that must be satisfied if survey data are to be called valid, and brings out the implications of his ideas for the management of survey error.
This book, then, provides a basis for thinking about, discussing and evaluating survey data. It will be of value to survey researchers, to users of survey data, and to students of social science who encounter reports of surveys and need to understand the problems intrinsic to survey data.
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About the Author
Nicholas Bateson, at the time of original publication, believed that since a survey datum is an item of knowledge that results from verbal interchange between two people, a worthwhile theory of data construction would have to draw on such disciplines as cognitive psychology, linguistics and social psychology. His background included both pure and applied research. He came to survey research after ten years spent as a social psychologist at the Universities of North Carolina (as a research assistant), Oxford (as a research fellow) and London (as a lecturer). For the following ten years he worked in the coding department of the Social Surveys Division of the Office of Population Censuses and Surveys, London.
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Data Construction in Social Surveys (Paperback)
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Paperback. Condition: new. Paperback. Before the early 1980s, much attention had been given in the social survey literature to the analysis and interpretation of data, but much less to the problems of constructing the individual datum. Yet without good work at datum level a good data set cannot be produced, and without good data no useful analyses and interpretations may be made. What do we mean by survey data? What are good data, and how do we recognise them?Originally published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. He specifies conditions that must be satisfied if survey data are to be called valid, and brings out the implications of his ideas for the management of survey error.This book, then, provides a basis for thinking about, discussing and evaluating survey data. It will be of value to survey researchers, to users of survey data, and to students of social science who encounter reports of surveys and need to understand the problems intrinsic to survey data. What do we mean by survey data? What are good data, and how do we recognise them? First published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781041069775
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Data Construction in Social Surveys (Contemporary Social Research)
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Data Construction in Social Surveys (Paperback)
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Paperback. Condition: new. Paperback. Before the early 1980s, much attention had been given in the social survey literature to the analysis and interpretation of data, but much less to the problems of constructing the individual datum. Yet without good work at datum level a good data set cannot be produced, and without good data no useful analyses and interpretations may be made. What do we mean by survey data? What are good data, and how do we recognise them?Originally published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. He specifies conditions that must be satisfied if survey data are to be called valid, and brings out the implications of his ideas for the management of survey error.This book, then, provides a basis for thinking about, discussing and evaluating survey data. It will be of value to survey researchers, to users of survey data, and to students of social science who encounter reports of surveys and need to understand the problems intrinsic to survey data. What do we mean by survey data? What are good data, and how do we recognise them? First published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9781041069775
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Data Construction in Social Surveys (Paperback)
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Paperback. Condition: new. Paperback. Before the early 1980s, much attention had been given in the social survey literature to the analysis and interpretation of data, but much less to the problems of constructing the individual datum. Yet without good work at datum level a good data set cannot be produced, and without good data no useful analyses and interpretations may be made. What do we mean by survey data? What are good data, and how do we recognise them?Originally published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. He specifies conditions that must be satisfied if survey data are to be called valid, and brings out the implications of his ideas for the management of survey error.This book, then, provides a basis for thinking about, discussing and evaluating survey data. It will be of value to survey researchers, to users of survey data, and to students of social science who encounter reports of surveys and need to understand the problems intrinsic to survey data. What do we mean by survey data? What are good data, and how do we recognise them? First published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach or a more assertive formulation of an old approach to the testing of data for validity. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9781041069775
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Data Construction in Social Surveys
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Condition: New. Nicholas Bateson, at the time of original publication, believed that since a survey datum is an item of knowledge that results from verbal interchange between two people, a worthwhile theory of data construction would have to draw on such discipli. Seller Inventory # 3460082124
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Data Construction in Social Surveys
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Taschenbuch. Condition: Neu. Neuware - Before the early 1980s, much attention had been given in the social survey literature to the analysis and interpretation of data, but much less to the problems of constructing the individual datum. Yet without good work at datum level a good data set cannot be produced, and without good data no useful analyses and interpretations may be made. What do we mean by 'survey data' What are 'good' data, and how do we recognise them Originally published in 1984, Nicholas Bateson tackles these questions and, in doing so, offers a redefinition of the validity of survey data and suggests a new approach - or a more assertive formulation of an old approach - to the testing of data for validity. He specifies conditions that must be satisfied if survey data are to be called valid, and brings out the implications of his ideas for the management of survey error.This book, then, provides a basis for thinking about, discussing and evaluating survey data. It will be of value to survey researchers, to users of survey data, and to students of social science who encounter reports of surveys and need to understand the problems intrinsic to survey data. Seller Inventory # 9781041069775