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SPSS explained PDF

399 Pages·2004·13.637 MB·English
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SPSS Explained i R O SPSS U Explained T Perry R. Hinton, Charlotte Brownlow, Isabella L McMurray & Bob Cozens E D G E First published 2004 by Routledge 27 Church Road, Hove, East Sussex, BN3 2FA Simultaneously published in the USA and Canada by Routledge Inc, 270 Madison Avenue, New York, NY 10016 Routledge is an imprint of the Taylor & Francis Group This edition published in the Taylor and Francis e-Library, 2005. “To purchase your own copy of this or any of Taylor & Francis or Routledge’s collection of thousands of eBooks please go to www.eBookstore.tandf.co.uk.” Copyright © 2004 Perry R. Hinton, Charlotte Brownlow, Isabella McMurray & Bob Cozens All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. This book is not sponsored or approved by SPSS, and errors are in no way the responsibility of SPSS. SPSS is a registered trademark and the other product names are trademarks of SPSS Inc. SPSS Screen Images © SPSS Inc. For further information, contact: SPSS UK Ltd, First Floor St Andrew’s House, West Street, Woking, Surrey GU21 6EB, UK Windows is a registered trademark of Microsoft Corporation. For further information, contact: Microsoft Corporation, One Microsoft Way, Redmond, WA 98052-6399, USA This publication has been produced with paper manufactured to strict environmental standards and with pulp derived from susta inable forests. British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Cataloging in Publication Data SPSS explained / by Perry R. Hinton...[et al.]. p. cm. Includes bibliographical references. ISBN 0-415-27409-5 (hbk) – ISBN 0-415-27410-9 (pbk.) 1. SPSS (Computer file) 2. Psychology–Statistical methods–Computer programs. I. Hinton, Perry R. (Perry Roy), 1954– BF39.S68 2004 300′.285′536–dc22 2003026286 ISBN 0-203-64259-7 Master e-book ISBN ISBN 0-203-67627-0 (Adobe eReader Format) ISBN 0-415-27409-5 (hbk) ISBN 0-415-27410-9 (pbk) To our families vi C o Contents n t e n Figures xiii Preface xv Acknowledgements xvii t 1 Introduction 1 The book outline 3 s The chapter outline 3 2 Data entry 7 Things to think about before entering data 8 Using SPSS for the first time 10 Data Editor 11 3 Descriptive statistics 23 Introduction to descriptive statistics 24 Sending variables across to a different box 24 Data entry 25 vii CONTENTS Frequency command 25 Procedure for the one sample Kolmogorov–Smirnov test 30 Descriptives command 32 Basic tables 34 4 Illustrative statistics 39 Introduction to illustrative statistics 41 Graphs displaying distributions of scores 42 Graphs for data with an independent measures design 49 Graphs for data with a repeated measures design 55 Graphs for data with a mixed design 57 Transposing axes (SPSS versions 11 and earlier) 60 Transposing axes (SPSS version 12) 61 Graphs illustrating frequency counts 64 Editing graphs (SPSS versions 11 and earlier) 66 Editing axes (SPSS versions 11 and earlier) 67 Editing graphs (SPSS version 12) 70 Editing axes (SPSS version 12) 71 Interactive graphs and gallery 72 5 Working with your dataset 73 Transforming your data 74 Log transformation 76 Recoding data 78 Replacing missing values 80 Split file command 83 Weight cases command 85 Importing data from Excel 87 Copying and pasting between applications (SPSS versions 11 and earlier) 89 Copying and pasting between applications (SPSS version 12) 90 6 Introduction to statistical tests 93 Different statistical tests 94 Introduction to parametric tests: the logic of significance testing 94 Things to consider before analysing your data 97 viii CONTENTS Concerns about significance testing 98 Confidence intervals 99 Power 100 Conclusion: advice on significance testing 102 7 t tests 105 Independent samples t test 107 The paired samples t test 114 8 Nonparametric two sample tests 123 Mann–Whitney U test (for independent samples) 124 Wilcoxon signed-ranks test (for related samples) 130 9 Introduction to analysis of variance (general linear model) 137 Introduction 138 General Linear Model command 138 A model for analysing data 139 The general linear model 143 Key terms in the analysis of variance 148 Univariate analysis of variance 150 Multivariate analysis of variance 151 Repeated measures analysis of variance 151 Contrasts and multiple pairwise comparisons 156 Main effects 159 Comparing condition means 161 10 One factor analysis of variance 163 One factor independent measures analysis of variance 164 One factor repeated measures analysis of variance 187 ix

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