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Analyzing Tabular Data Loglinear by Gilbert Nigel (23 results)
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Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers (Social Research Today)
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Analyzing Tabular Data: Loglinear and Logistic Models for Social Researchers: 1 (Social Research Today)
Published by Routledge
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Analyzing Tabular Data : Loglinear and Logistic Models for Social Researchers
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Analyzing Tabular Data: Loglinear and logistic models for social researchers
Published by Taylor & Francis Ltd, 2024
ISBN 10: 1032195401 ISBN 13: 9781032195407
Language: English
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Analyzing Tabular Data : Loglinear and Logistic Models for Social Researchers
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Analyzing Tabular Data : Loglinear and Logistic Models for Social Researchers
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Analyzing Tabular Data : Loglinear and Logistic Models for Social Researchers
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Add to basketHardcover. Condition: Brand New. 192 pages. 9.18x6.12x0.67 inches. In Stock.
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£ 124.16
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Analyzing Tabular Data: Loglinear and logistic models for social researchers
Published by Taylor & Francis Ltd, 2022
ISBN 10: 1032195363 ISBN 13: 9781032195360
Language: English
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Analyzing Tabular Data Loglinear and Logistic Models for Social Researchers
Published by Research Press
ISBN 10: 8173140081 ISBN 13: 9788173140082
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Analyzing Tabular Data : Loglinear and logistic models for social researchers
Published by Taylor & Francis, Routledge, 2024
ISBN 10: 1032195401 ISBN 13: 9781032195407
Language: English
£ 41.17
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Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - First published in 1993, Analyzing Tabular Data is an accessible text introducing a powerful range of analytical methods. Empirical social research almost invariably requires the presentation and analysis of tables, and this book is for those who have little prior knowledge of quantitative analysis or statistics, but who have a practical need to extract the most from their data. The book begins with an introduction to the process of data analysis and the basic structure of cross-tabulations. At the core of the methods described in the text is the loglinear model. This and the logistic model, are explained and their application to causal modelling, to event history analysis, and to social mobility research are described in detail. Each chapter concludes with sample programs to show how analysis on typical datasets can be carried out using either the popular computer packages, SPSS, or the statistical programme, GLIM. The book is packed with examples which apply the methods to social science research.Sociologists, geographers, psychologists, economists, market researchers and those involved in survey research in the fields of planning, evaluation and policy will find the book to be a clear and thorough exposition of methods for the analysis of tabular data.
