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SPSS for Social Scientists

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ISBN-10: 0230209939

ISBN-13: 9780230209930

Edition: 2nd 2009 (Revised)

Authors: Robert Miller, Ciaran Acton, Jo Campling, Deirdre A. Fullerton, John Maltby

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Book details

Edition: 2nd
Copyright year: 2009
Publisher: Palgrave Macmillan Limited
Publication date: 4/7/2009
Binding: Paperback
Pages: 336
Size: 7.50" wide x 9.75" long x 0.75" tall
Weight: 1.628
Language: English

ROBERT MILLER is Professor in Sociology in the School of Sociology and Social Policy at Queen's University of Belfast, UKnbsp;where he is also Director of the Centre for Social Research. His books include Researching Life Stories and Family Histories and The A-Z of Social Research . CIARAN ACTON is a Teaching Fellow in Sociologynbsp;in the School of Sociology and Social Policy at Queen's University of Belfast, UK. He is widely experienced in teaching research methods. nbsp; DEIRDRE FULLERTON was previously a Lecturer in Social Research at the University of Ulster, UK. She is now works as an Independent Research Consultant. nbsp; JOHN MALTBY is Senior Lecturer in Psychology at the University…    

ROBERT MILLER is Professor in Sociology in the School of Sociology and Social Policy at Queen's University of Belfast, UKnbsp;where he is also Director of the Centre for Social Research. His books include Researching Life Stories and Family Histories and The A-Z of Social Research . CIARAN ACTON is a Teaching Fellow in Sociologynbsp;in the School of Sociology and Social Policy at Queen's University of Belfast, UK. He is widely experienced in teaching research methods. nbsp; DEIRDRE FULLERTON was previously a Lecturer in Social Research at the University of Ulster, UK. She is now works as an Independent Research Consultant. nbsp; JOHN MALTBY is Senior Lecturer in Psychology at the University…    

Preface
Introduction
Orientation Data Input Listing and Exploring Data Data Selection and Transformation t-test and Hypothesis Testing Crosstabulation Multiple Response Sets Analysis of Variancenbsp;(ANOVA)
Correlation and Regression Factor Analysis Logistic Regression Loglinear Analysis
Conclusion
The Dataset Variables: A Quick Guide
Your SPSS Dictionary