An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Author:   John MacInnes
Publisher:   Sage Publications Ltd
ISBN:  

9781446285770


Pages:   336
Publication Date:   19 December 2016
Format:   Paperback
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.

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An Introduction to Secondary Data Analysis with IBM SPSS Statistics


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Full Product Details

Author:   John MacInnes
Publisher:   Sage Publications Ltd
Imprint:   Sage Publications Ltd
Dimensions:   Width: 17.40cm , Height: 1.80cm , Length: 24.60cm
Weight:   0.600kg
ISBN:  

9781446285770


ISBN 10:   1446285774
Pages:   336
Publication Date:   19 December 2016
Audience:   College/higher education ,  Tertiary & Higher Education
Format:   Paperback
Publisher's Status:   Active
Availability:   To order   Availability explained
Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us.
Language:   Bengali

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Reviews

'Accessibly written, this is a friendly and indispensable companion for any student embarking on a secondary data analysis project. A breath of fresh air.' -- Luke Sloan 'MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.' -- Michael Hout 'There are lots of books about statistics. But there are very few that tell students what they really need to know: how to acquire and manage data, and how to use them to answer questions relevant to their studies. This book fills the gap in a clearly written and user-friendly way, and is full of interesting and practical examples. It should be core reading.' -- Richard Harris 'An excellent text that engages with the real-world practice of analysing existing quantitative data resources. The book covers the neglected issues of data documentation, data management, and replication that are central to effective research.' -- Roxanne Connelly 'A concise, compelling and engaging new text, this is a valuable addition to the bookshelves of anyone wanting to really get to grips with secondary data analysis.' -- Alasdair Rae 'For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.' -- Malcolm Williams


'For a generation we have been waiting for a really good introduction to secondary data analysis. This is it.' -- Malcolm Williams 'A concise, compelling and engaging new text, this is a valuable addition to the bookshelves of anyone wanting to really get to grips with secondary data analysis.' -- Alasdair Rae 'An excellent text that engages with the real-world practice of analysing existing quantitative data resources. The book covers the neglected issues of data documentation, data management, and replication that are central to effective research.' -- Roxanne Connelly 'There are lots of books about statistics. But there are very few that tell students what they really need to know: how to acquire and manage data, and how to use them to answer questions relevant to their studies. This book fills the gap in a clearly written and user-friendly way, and is full of interesting and practical examples. It should be core reading.' -- Richard Harris 'MacInnes shows newcomers the possibilities before them and teaches the safeguards needed to make the most of secondary data.' -- Michael Hout 'Accessibly written, this is a friendly and indispensable companion for any student embarking on a secondary data analysis project. A breath of fresh air.' -- Luke Sloan


Author Information

From 2009 to 2014 John was the Strategic Advisor to the Economic and Social Research Council (ESRC) on quantitative methods training overseeing the genesis and launch of the Q-Step programme. From 2015 to 2020 he was Strategic Advisor to the British Academy on Quantitative skills and a member of the British Academy’s High Level Strategy group on Quantitative Skills. John is a Chartered Statistician and was Vice President (Professional Affairs) of the Royal Statistical Society 2019-20. He has held research grants from the European Commission, UK ESRC, British Academy, Leverhulme trust and British, Spanish and Catalan government departments.

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