{"product_id":"ibm-spss-essentials-isbn-9781119417422","title":"IBM SPSS Essentials","description":"\u003cp\u003e\u003cb\u003eMaster the fundamentals of SPSS with this newly updated and instructive resource\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe newly and thoroughly revised Second Edition of \u003ci\u003eSPSS Essentials\u003c\/i\u003e delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data. \u003c\/p\u003e \u003cp\u003eThe book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eSPSS Essentials\u003c\/i\u003e offers a wide variety of features, including:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eA revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes\u003c\/li\u003e \u003cli\u003eAn explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with\u003c\/li\u003e \u003cli\u003eAdditional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information\u003c\/li\u003e \u003cli\u003eA companion website offering additional problem sets, complete with answers\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate students of the social sciences who are just getting started with SPSS, \u003ci\u003eSPSS Essentials\u003c\/i\u003e also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.\u003c\/p\u003e \u003cp\u003ePreface xiii\u003c\/p\u003e \u003cp\u003eAcknowledgments xvii\u003c\/p\u003e \u003cp\u003eAuthor Biography xix\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I Introduction \u003c\/b\u003e\u003cb\u003e1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e1 What is SPSS? \u003c\/b\u003e\u003cb\u003e3\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 3\u003c\/p\u003e \u003cp\u003eWhat Is SPSS Used For 4\u003c\/p\u003e \u003cp\u003eThe Power of SPSS 5\u003c\/p\u003e \u003cp\u003eSPSS Compared to Other Programs 5\u003c\/p\u003e \u003cp\u003eSummary 6\u003c\/p\u003e \u003cp\u003eKey Terms 6\u003c\/p\u003e \u003cp\u003eDiscussion Questions 6\u003c\/p\u003e \u003cp\u003e\u003cb\u003e2 Navigating SPSS \u003c\/b\u003e\u003cb\u003e7\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 7\u003c\/p\u003e \u003cp\u003eHow the Program Works 7\u003c\/p\u003e \u003cp\u003eImportant File Types 8\u003c\/p\u003e \u003cp\u003eData Files 8\u003c\/p\u003e \u003cp\u003eSyntax Files 10\u003c\/p\u003e \u003cp\u003eOutput Files 10\u003c\/p\u003e \u003cp\u003eThe “Others” 11\u003c\/p\u003e \u003cp\u003eManaging Your SPSS Life 11\u003c\/p\u003e \u003cp\u003eThe Importance of Maintaining the Raw Data as an “Untouched” File 12\u003c\/p\u003e \u003cp\u003eSummary 13\u003c\/p\u003e \u003cp\u003eKey Terms 13\u003c\/p\u003e \u003cp\u003eDiscussion Questions 13\u003c\/p\u003e \u003cp\u003e\u003cb\u003e3 Introduction to Data \u003c\/b\u003e\u003cb\u003e15\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 15\u003c\/p\u003e \u003cp\u003eUnderstanding Your Data 16\u003c\/p\u003e \u003cp\u003eIndependent Versus Dependent Variables 16\u003c\/p\u003e \u003cp\u003eScales of Measurement 16\u003c\/p\u003e \u003cp\u003eThe SPSS Data Perspective 17\u003c\/p\u003e \u003cp\u003eData Represented by Numbers (Numeric) 17\u003c\/p\u003e \u003cp\u003eData Represented by Words (String) 18\u003c\/p\u003e \u003cp\u003eThe Other Variable Types 18\u003c\/p\u003e \u003cp\u003eYour Data in SPSS – Think Matrices 19\u003c\/p\u003e \u003cp\u003eSummary 20\u003c\/p\u003e \u003cp\u003eKey Terms 21\u003c\/p\u003e \u003cp\u003eDiscussion Questions 21\u003c\/p\u003e \u003cp\u003e\u003cb\u003e4 Getting Your Data into SPSS \u003c\/b\u003e\u003cb\u003e23\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 23\u003c\/p\u003e \u003cp\u003eBefore SPSS 24\u003c\/p\u003e \u003cp\u003eSpecifying Operations Through SPSS 25\u003c\/p\u003e \u003cp\u003eCreating a Data Shell 25\u003c\/p\u003e \u003cp\u003eCreating Data Files Via Syntax 28\u003c\/p\u003e \u003cp\u003eNumeric Versus String Variables 29\u003c\/p\u003e \u003cp\u003eData Entry Within the Syntax File 31\u003c\/p\u003e \u003cp\u003e“Saving” Populated Datafiles 33\u003c\/p\u003e \u003cp\u003eHaving SPSS Auto-Generate Your Syntax 34\u003c\/p\u003e \u003cp\u003eControlling Your “Open” Datafiles 35\u003c\/p\u003e \u003cp\u003eSummary 37\u003c\/p\u003e \u003cp\u003eKey Terms 38\u003c\/p\u003e \u003cp\u003eDiscussion Questions 39\u003c\/p\u003e \u003cp\u003eReferences 39\u003c\/p\u003e \u003cp\u003e\u003cb\u003e5 Accessing Your Data \u003c\/b\u003e\u003cb\u003e41\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 41\u003c\/p\u003e \u003cp\u003eAccessing Your Data Files 42\u003c\/p\u003e \u003cp\u003eGet File and Save Outfile 43\u003c\/p\u003e \u003cp\u003eCreating Subsets of Data 44\u003c\/p\u003e \u003cp\u003eImporting Data from Excel 44\u003c\/p\u003e \u003cp\u003eUsing the Import Data Wizard 45\u003c\/p\u003e \u003cp\u003eThe Copy–Paste “Option” (aka This Is a Terrible Idea) 47\u003c\/p\u003e \u003cp\u003eSummary 48\u003c\/p\u003e \u003cp\u003eKey Terms 48\u003c\/p\u003e \u003cp\u003eDiscussion Questions 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003e6 Defining Your Data \u003c\/b\u003e\u003cb\u003e49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 49\u003c\/p\u003e \u003cp\u003eAnnotation 50\u003c\/p\u003e \u003cp\u003eDefining Your Dataset 51\u003c\/p\u003e \u003cp\u003eAdding Variable Labels 51\u003c\/p\u003e \u003cp\u003eAdding Value Labels 52\u003c\/p\u003e \u003cp\u003eSummary 54\u003c\/p\u003e \u003cp\u003eKey Terms 55\u003c\/p\u003e \u003cp\u003eDiscussion Questions 55\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II Statistics \u003c\/b\u003e\u003cb\u003e57\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e7 Descriptive Statistics \u003c\/b\u003e\u003cb\u003e59\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 59\u003c\/p\u003e \u003cp\u003eFrequencies 60\u003c\/p\u003e \u003cp\u003eDisplaying Data Graphically 62\u003c\/p\u003e \u003cp\u003eLocation and Spread 63\u003c\/p\u003e \u003cp\u003eDescriptive Statistics 65\u003c\/p\u003e \u003cp\u003eMeasures of Central Tendency and Variability 65\u003c\/p\u003e \u003cp\u003eA General Note on Analyses 67\u003c\/p\u003e \u003cp\u003eA General Note About Output Files 68\u003c\/p\u003e \u003cp\u003eSummary 68\u003c\/p\u003e \u003cp\u003eKey Terms 68\u003c\/p\u003e \u003cp\u003eDiscussion Questions 69\u003c\/p\u003e \u003cp\u003e\u003cb\u003e8 Hypothesis Testing \u003c\/b\u003e\u003cb\u003e71\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 71\u003c\/p\u003e \u003cp\u003eDescriptive Versus Inferential Statistics 72\u003c\/p\u003e \u003cp\u003eHypothesis Testing (A \u003ci\u003eProcess \u003c\/i\u003efor Interpreting Inferential Statistics) 72\u003c\/p\u003e \u003cp\u003eSix Steps of Hypothesis Testing 73\u003c\/p\u003e \u003cp\u003eSummary 75\u003c\/p\u003e \u003cp\u003eKey Terms 75\u003c\/p\u003e \u003cp\u003eDiscussion Questions 76\u003c\/p\u003e \u003cp\u003e\u003cb\u003e9 Z-and T-Tests \u003c\/b\u003e\u003cb\u003e77\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 77\u003c\/p\u003e \u003cp\u003eThe One Sample Z-Test 78\u003c\/p\u003e \u003cp\u003eThe t-Test 80\u003c\/p\u003e \u003cp\u003eOne-Sample T-Test 80\u003c\/p\u003e \u003cp\u003eTwo Independent Samples T-Test 84\u003c\/p\u003e \u003cp\u003eTwo Correlated\/Paired Samples T-Test 88\u003c\/p\u003e \u003cp\u003eSummary 93\u003c\/p\u003e \u003cp\u003eKey Terms 93\u003c\/p\u003e \u003cp\u003eDiscussion Questions 94\u003c\/p\u003e \u003cp\u003e\u003cb\u003e10 Inferential Analyses (ANOVAs) \u003c\/b\u003e\u003cb\u003e97\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 97\u003c\/p\u003e \u003cp\u003eOne-Way ANOVA (One-Way Command) 98\u003c\/p\u003e \u003cp\u003eRepeated-Measures ANOVA (GLM Command) 101\u003c\/p\u003e \u003cp\u003eFactorial ANOVA (Unianova Command) 109\u003c\/p\u003e \u003cp\u003eFollow-Up Contrasts 113\u003c\/p\u003e \u003cp\u003eSummary 113\u003c\/p\u003e \u003cp\u003eKey Terms 114\u003c\/p\u003e \u003cp\u003eDiscussion Questions 115\u003c\/p\u003e \u003cp\u003eReference 116\u003c\/p\u003e \u003cp\u003e\u003cb\u003e11 Inferential Analyses (Correlation or Regression) \u003c\/b\u003e\u003cb\u003e117\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 117\u003c\/p\u003e \u003cp\u003eCorrelation 118\u003c\/p\u003e \u003cp\u003eSimple Regression 122\u003c\/p\u003e \u003cp\u003eMultiple Regression 125\u003c\/p\u003e \u003cp\u003eStraight Regression 126\u003c\/p\u003e \u003cp\u003eHierarchical Regression 130\u003c\/p\u003e \u003cp\u003eVisualizing Your Relationship 135\u003c\/p\u003e \u003cp\u003eSummary 137\u003c\/p\u003e \u003cp\u003eKey Terms 137\u003c\/p\u003e \u003cp\u003eDiscussion Questions 138\u003c\/p\u003e \u003cp\u003e\u003cb\u003e12 Nonparametric Analyses \u003c\/b\u003e\u003cb\u003e141\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 141\u003c\/p\u003e \u003cp\u003eParametric Versus Nonparametric Analyses 141\u003c\/p\u003e \u003cp\u003e“The” (Pearson’s) Chi-Square: χ2 143\u003c\/p\u003e \u003cp\u003eTwo Variable Example 146\u003c\/p\u003e \u003cp\u003eSummary 150\u003c\/p\u003e \u003cp\u003eKey Terms 150\u003c\/p\u003e \u003cp\u003eDiscussion Questions 151\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart III Advanced Data Management \u003c\/b\u003e\u003cb\u003e153\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003e13 Manipulating Your Data \u003c\/b\u003e\u003cb\u003e155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 155\u003c\/p\u003e \u003cp\u003eCreating Scale Scores 156\u003c\/p\u003e \u003cp\u003eHow SPSS Thinks About Data 156\u003c\/p\u003e \u003cp\u003eRecoding Your Data 157\u003c\/p\u003e \u003cp\u003eCreating Your Scales 157\u003c\/p\u003e \u003cp\u003eThe Importance of Selecting All 161\u003c\/p\u003e \u003cp\u003eSummary 167\u003c\/p\u003e \u003cp\u003eKey Terms 167\u003c\/p\u003e \u003cp\u003eDiscussion Questions 167\u003c\/p\u003e \u003cp\u003e\u003cb\u003e14 Collapsing and Merging Data Files \u003c\/b\u003e\u003cb\u003e169\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 169\u003c\/p\u003e \u003cp\u003eSame People, Different Information 170\u003c\/p\u003e \u003cp\u003eDifferent People, Same Information 175\u003c\/p\u003e \u003cp\u003eSummary 177\u003c\/p\u003e \u003cp\u003eKey Terms 177\u003c\/p\u003e \u003cp\u003eDiscussion Questions 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003e15 Differential Treatment of Your Data \u003c\/b\u003e\u003cb\u003e179\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 179\u003c\/p\u003e \u003cp\u003eIsolating Interesting Cases 180\u003c\/p\u003e \u003cp\u003eCreating a New Data File 180\u003c\/p\u003e \u003cp\u003eSplitting Files 184\u003c\/p\u003e \u003cp\u003eSummary 188\u003c\/p\u003e \u003cp\u003eKey Terms 188\u003c\/p\u003e \u003cp\u003eDiscussion Questions 188\u003c\/p\u003e \u003cp\u003e\u003cb\u003e16 Using Your Output \u003c\/b\u003e\u003cb\u003e189\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 189\u003c\/p\u003e \u003cp\u003eProblem Solving 190\u003c\/p\u003e \u003cp\u003eSpaces in All the Wrong Places 190\u003c\/p\u003e \u003cp\u003eColumn Information 195\u003c\/p\u003e \u003cp\u003eThere Is One Little Thing… 198\u003c\/p\u003e \u003cp\u003eMaximizing Output Information 199\u003c\/p\u003e \u003cp\u003eSummary 200\u003c\/p\u003e \u003cp\u003eKey Terms 201\u003c\/p\u003e \u003cp\u003eDiscussion Questions 201\u003c\/p\u003e \u003cp\u003e\u003cb\u003e17 Other Tricks of the Trade \u003c\/b\u003e\u003cb\u003e203\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChapter Learning Objectives 203\u003c\/p\u003e \u003cp\u003eSalvaging Old Syntax 204\u003c\/p\u003e \u003cp\u003eThe Importance of Notepad 204\u003c\/p\u003e \u003cp\u003eTricking SPSS To “Think” Across Rows 210\u003c\/p\u003e \u003cp\u003eTransposing Your Matrix 210\u003c\/p\u003e \u003cp\u003eAggregating Your Files 211\u003c\/p\u003e \u003cp\u003e“Do If” and “End If” 215\u003c\/p\u003e \u003cp\u003eSummary 218\u003c\/p\u003e \u003cp\u003eKey Terms 219\u003c\/p\u003e \u003cp\u003eDiscussion Questions 219\u003c\/p\u003e \u003cp\u003eAppendix A: Completed Questionnaire Form Example 221\u003c\/p\u003e \u003cp\u003eAppendix B: Example Code Sheet for Questionnaire 227\u003c\/p\u003e \u003cp\u003eAppendix C: Summary of Creating and Defining a Data File 233\u003c\/p\u003e \u003cp\u003eAppendix D: Example Syntax File Integrating Multiple Commands (Fulfilling Multiple Purposes) 239\u003c\/p\u003e \u003cp\u003eAppendix E: Commands To Know, Organized By Importance 249\u003c\/p\u003e \u003cp\u003eAnswers to Chapter Discussion Questions 251\u003c\/p\u003e \u003cp\u003eIndex 263\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eJOHN T. KULAS, PhD,\u003c\/b\u003e is a Professor of Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eRENATA GARCIA PRIETO PALACIOS ROJI, MA,\u003c\/b\u003e is a PhD candidate in Industrial and Organizational Psychology at Montclair State University in Montclair, NJ, United States. \u003c\/p\u003e\u003cp\u003e\u003cb\u003eADAM M. SMITH, PhD,\u003c\/b\u003e is an associate consultant at Kincentric and adjunct instructor at Wentworth Institute of Technology and Harvard University.    \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMaster the fundamentals of SPSS with this newly updated and instructive resource\u003c\/b\u003e \u003c\/p\u003e\u003cp\u003eThe newly and thoroughly revised Second Edition of \u003ci\u003eSPSS Essentials\u003c\/i\u003e delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) for the effective collection, management, and analysis of data. The accomplished researchers and authors provide readers with the practical nuts and bolts of SPSS usage and data entry, with a particular emphasis on managing and manipulating data. \u003c\/p\u003e\u003cp\u003eThe book offers an introduction to SPSS, how to navigate it, and a discussion of how to understand the data the reader is working with. It also covers inferential statistics, including topics like hypothesis testing, one-sample Z-testing, T-testing, ANOVAs, correlations, and regression. Five unique appendices round out the text, providing readers with discussions of dealing with real-world data, troubleshooting, advanced data manipulations, and new workbook activities. \u003c\/p\u003e\u003cp\u003e\u003ci\u003eSPSS Essentials\u003c\/i\u003e offers a wide variety of features, including: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eA revised chapter order, designed to match the pacing and content of typical undergraduate statistics classes\u003c\/li\u003e \u003cli\u003eAn explanation of when particular inferential statistics are appropriate for use, given the nature of the data being worked with\u003c\/li\u003e \u003cli\u003eAdditional material on understanding your data sample, including discussions of SPSS output and how to find the most relevant information\u003c\/li\u003e \u003cli\u003eA companion website offering additional problem sets, complete with answers\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003ePerfect for undergraduate students of the social sciences who are just getting started with SPSS, \u003ci\u003eSPSS Essentials\u003c\/i\u003e also belongs on the bookshelves of advanced placement high school students and practitioners in social science who want to brush up on the fundamentals of this powerful and flexible software package.\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47989397258469,"sku":"NP9781119417422","price":77.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119417422.jpg?v=1761783952","url":"https:\/\/k12savings.com\/es\/products\/ibm-spss-essentials-isbn-9781119417422","provider":"K12savings","version":"1.0","type":"link"}