05436nam 2200649 a 450 991078756120332120231110232653.01-118-36357-41-118-36356-6(CKB)2670000000400716(EBL)1318206(OCoLC)853364676(MiAaPQ)EBC1318206(DLC) 2013016284(Au-PeEL)EBL1318206(CaPaEBR)ebr10734309(CaONFJC)MIL505565(MiAaPQ)EBC7103587(Au-PeEL)EBL7103587(JP-MeL)3000110625(EXLCZ)99267000000040071620130802d2013 uy 0engurcn|||||||||rdacontentrdamediardacarrierPerforming data analysis using IBM SPSS[electronic resource]Lawrence S. Meyers, Glenn C. Gamst, A. J. GuarinoHoboken, N.J. Wileyc20131 online resource (734 p.)New York Academy of Sciences Includes bibliographical references and indexes1-299-74314-5 1-118-35701-9 Includes bibliographical references and indexes.PERFORMING DATA ANALYSIS USING IBM SPSS®; CONTENTS; PREFACE; PART 1 | GETTING STARTED WITH IBM SPSS®; CHAPTER 1 | INTRODUCTION TO IBM SPSS®; 1.1 WHAT IS IBM SPSS?; 1.2 BRIEF HISTORY; 1.3 TYPES OF IBM SPSS FILES AND FILE NAME EXTENSIONS; CHAPTER 2 | ENTERING DATA IN IBM SPSS; 2.1 THE STARTING POINT; 2.2 THE TWO TYPES OF DISPLAYS; 2.3 A SAMPLE DATA SET; 2.4 THE VARIABLE VIEW DISPLAY; 2.5 ENTERING SPECIFICATIONS IN THE VARIABLE VIEW DISPLAY; 2.6 SAVING THE DATA FILE; 2.7 ENTERING SPECIFICATIONS IN THE DATA VIEW DISPLAY; CHAPTER 3 | IMPORTING DATA FROM EXCEL TO IBM SPSS®; 3.1 THE STARTING POINT3.2 THE IMPORTING PROCESS PART 2 | OBTAINING, EDITING, AND SAVING STATISTICAL OUTPUT; CHAPTER 4 | PERFORMING STATISTICAL PROCEDURES IN IBM SPSS®; 4.1 OVERVIEW; 4.2 USING DIALOG WINDOWS TO SETUP THE ANALYSIS; 4.3 THE OUTPUT; CHAPTER 5 | EDITING OUTPUT; 5.1 OVERVIEW; 5.2 CHANGING THE WORDING OF A COLUMN HEADING; 5.3 CHANGING THE WIDTH OF A COLUMN; 5.4 VIEWING MORE DECIMAL VALUES; 5.5 EDITING TEXT IN IBM SPSS OUTPUT FILES; CHAPTER 6 | SAVING AND COPYING OUTPUT; 6.1 OVERVIEW; 6.2 SAVING AN OUTPUT FILE AS AN IBM SPSS OUTPUT FILE; 6.3 SAVING AN OUTPUT FILE IN OTHER FORMATS6.4 USING OPERATING SYSTEM UTILITIES TO COPY AN IBM SPSS TABLE TO A WORD PROCESSING DOCUMENT 6.5 USING THE COPY AND PASTE FUNCTIONS TO COPY AN IBM SPSS OUTPUT TABLE TO A WORD PROCESSING DOCUMENT; PART 3 | MANIPULATING DATA; CHAPTER 7 | SORTING AND SELECTING CASES; 7.1 OVERVIEW; 7.2 SORTING CASES; 7.3 SELECTING CASES; CHAPTER 8 | SPLITTING DATA FILES; 8.1 OVERVIEW; 8.2 THE GENERAL SPLITTING PROCESS; 8.3 THE PROCEDURE TO SPLIT THE DATA FILE; 8.4 THE DATA FILE AFTER THE SPLIT; 8.5 STATISTICAL ANALYSES UNDER SPLIT FILE; 8.6 RESETTING THE DATA FILE; CHAPTER 9 | MERGING DATA FROM SEPARATE FILES9.1 OVERVIEW 9.2 ADDING CASES; 9.3 ADDING VARIABLES; PART 4 | DESCRIPTIVE STATISTICS PROCEDURES; CHAPTER 10 | FREQUENCIES; 10.1 OVERVIEW; 10.2 NUMERICAL EXAMPLE; 10.3 ANALYSIS SETUP: CATEGORICAL VARIABLES; 10.4 ANALYSIS OUTPUT: CATEGORICAL VARIABLES; 10.5 ANALYSIS SETUP: QUANTITATIVE VARIABLES; 10.6 ANALYSIS OUTPUT: QUANTITATIVE VARIABLES; CHAPTER 11 | DESCRIPTIVES; 11.1 OVERVIEW; 11.2 NUMERICAL EXAMPLE; 11.3 ANALYSIS SETUP; 11.4 ANALYSIS OUTPUT; CHAPTER 12 | EXPLORE; 12.1 OVERVIEW; 12.2 NUMERICAL EXAMPLE; 12.3 ANALYSIS SETUP; 12.4 ANALYSIS OUTPUT; PART 5 | SIMPLE DATA TRANSFORMATIONSCHAPTER 13 | STANDARDIZING VARIABLES TO Z SCORES 13.1 OVERVIEW; 13.2 NUMERICAL EXAMPLE; 13.3 ANALYSIS SETUP; 13.4 ANALYSIS OUTPUT; 13.5 DESCRIPTIVE STATISTICS ON ZNEONEURO; 13.6 OTHER STANDARD SCORES; CHAPTER 14 | RECODING VARIABLES; 14.1 OVERVIEW; 14.2 NUMERICAL EXAMPLE; 14.3 ANALYSIS STRATEGY; 14.4 FREQUENCIES ANALYSIS; 14.5 RECODING AN ORIGINAL VARIABLE USING RANGES; 14.6 THE RESULTS OF THE RECODING; 14.7 RECODING AN ORIGINAL VARIABLE USING INDIVIDUAL VALUES; CHAPTER 15 | VISUAL BINNING; 15.1 OVERVIEW; 15.2 NUMERICAL EXAMPLE; 15.3 ANALYSIS SETUP; CHAPTER 16 | COMPUTING NEW VARIABLES16.1 OVERVIEWFeatures easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user's guide for students and other interested readers to perform statistical data anNew York Academy of Sciences Social sciencesStatistical methodsComputer programsSocial sciencesStatistical methodsComputer programs.005.5/5417njb/09Meyers Lawrence S512083Gamst Glenn C619627Guarino A. J512084MiAaPQMiAaPQMiAaPQBOOK9910787561203321Performing data analysis using IBM SPSS3846537UNINA