![]() ![]() Library of Congress Cataloging in Publication Data A catalog record for this book has been requested. Thirteenth edition published by Pearson 2014. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identification and explanation without intent to infringe. 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. ![]() IBM SPSS Statistics 23 Step by Step A Simple Guide and Reference fourteenth editionĭarren George Burman University (Formerly Canadian University College)įourteenth edition published 2016 by Routledge 711 Third Avenue, New York, NY 10017 and by Routledge 2 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN Routledge is an imprint of the Taylor & Francis Group, an informa business © 2016 Taylor & Francis The right of Darren George and Paul Mallery to be identified as authors of this work has been asserted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All datasets used in the book are available for download at: A01_GEOR0250_14_SE_FM.indd 3 Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. Extensive use of vivid, four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Move up to the next highest folder or disk driveįiles in the folder Click when all boxes have correct information Type file name In case you change your mind Identify the file type Use subsets of variables/use all variablesĪccess information about the current variable Go to a particular variable or case number Shifts between numbers and labels for variables with several levels Insert subject or case into the data file (upper left corner) the “+” sign indicates that this is the active file Scroll bars “Data View” and “Variable View” tabs ![]() Minimize and maximize buttons Menu commands Toolbar icons Variables Subject or case numbers Empty data cells ” Option: Changing the FormatsĢ.2 The Desktop, Dock, and Application FolderĢ.4 The Data and Other Commonly used Windowsģ.1 Research Concerns and Structure of the Data FileĤ.3 The Compute Procedure: Creating VariablesĤ.4 The Recode into Different Variables Procedure Creating New VariablesĤ.7 Merging Files Adding Blocks of Variables or Casesĥ Graphs and Charts: Creating and Editingħ.4 Measures of Variability Around the Meanħ.6 Measures for Size of the Distributionħ.7 Measures of Stability: Standard ErrorĨ.2 Chi-Square (χ2) Tests of IndependenceĨ.4 Weight Cases Procedure: Simplified Data Setupġ2.1 Introduction to One-Way Analysis of Varianceġ4 General Linear Models: Three-Way ANOVAġ4.6 A Three-Way Anova that Includes a Covariateġ5.1 Predicted Values and the Regression Equationġ5.2 Simple Regression and the Amount of Variance Explainedġ5.3 Testing for a Curvilinear Relationshipġ5.7 A Regression Analysis that Tests for a Curvilinear Trendġ6.2 Regression And R2: The Amount of Variance Explainedġ6.3 Curvilinear Trends, Model Building, and Referencesġ6.7 Change of Values as Each new Variable is Addedġ7.2 Are Observed Values Distributed Differently than a Hypothesized Distribution?ġ7.3 Is the Order of Observed Values Non-Random?ġ7.4 Is a Continuous Variable Different in Different Groups?ġ7.5 Are the Medians of a Variable Different for Different Groups?ġ7.6 Are My Within-Subjects (Dependent Samples or Repeated Measures) Measurements Different?ġ9.1 Square Asymmetrical Matrixes (The Sociogram Example)Ģ1.1 Cluster Analysis and Factor Analysis ContrastedĢ1.2 Procedures for Conducting Cluster AnalysisĢ2.1 The Example: Admission into a Graduate ProgramĢ2.2 The Steps Used in Discriminant AnalysisĢ3 General Linear Models: MANOVA and MANCOVAĢ6.2 The Model Selection Log-Linear ProcedureĢ7.3 Types of Models Beyond the Scope of This ChapterĢ8 Residuals: Analyzing left-over varianceĢ8.3 General Log-Linear Models: A Case Study Introduction: An Overview of IBM SPSS Statistics 23ġ.4 This Book’s Organization, Chapter by Chapterġ.6 Typographical and Formatting ConventionsĢ.4 The Data and Other Commonly Used WindowsĢ.9 The “Options. ![]()
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