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Record Nr. |
UNINA9910956881303321 |
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Autore |
Meyers Lawrence S |
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Titolo |
Performing data analysis using IBM SPSS / / Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, c2013 |
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ISBN |
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9781118363577 |
1118363574 |
9781118363560 |
1118363566 |
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Descrizione fisica |
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1 online resource (734 p.) |
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Collana |
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New York Academy of Sciences Ser. |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Social sciences - Statistical methods - Computer programs |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and indexes. |
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Nota di contenuto |
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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 POINT |
3.2 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; |
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6.3 SAVING AN OUTPUT FILE IN OTHER FORMATS |
6.4 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 FILES |
9.1 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 TRANSFORMATIONS |
CHAPTER 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 VARIABLES |
16.1 OVERVIEW |
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Sommario/riassunto |
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Features 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 an |
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2. |
Record Nr. |
UNINA9911020413303321 |
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Autore |
Garg Lalit |
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Titolo |
AI Technologies for Information Systems and Management Science : Proceedings of the 7th International Conference on Information Systems and Management Science (ISMS) 2024 / / edited by Lalit Garg, Nishtha Kesswani, Imene Brigui |
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Pubbl/distr/stampa |
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Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
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ISBN |
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Edizione |
[1st ed. 2025.] |
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Descrizione fisica |
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1 online resource (1045 pages) |
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Collana |
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Lecture Notes in Networks and Systems, , 2367-3389 ; ; 1479 |
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Altri autori (Persone) |
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KesswaniNishtha |
BriguiImène |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering - Data processing |
Management |
Computational Intelligence |
Data Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This book brings together leading experts, academics, and industry professionals to explore how AI is transforming decision-making, data analytics, operations, and strategic management across diverse sectors. Dive into the cutting-edge world of artificial intelligence with AI Technologies for Information Systems and Management Science, a comprehensive book is featuring peer-reviewed research from the 7th International Conference on Information Systems and Management Science (ISMS 2024). Covering topics such as intelligent systems, machine learning integration, AI-driven process optimization, and ethical considerations, this proceedings book offers a rich blend of theoretical insights and practical applications. Whether you're a researcher, practitioner, or student, you’ll find valuable perspectives on how emerging AI technologies are reshaping the foundations of modern information systems and management practices. Gain inspiration from real-world case studies, stay ahead with the latest |
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innovations, and deepen your understanding of AI’s role in driving smarter, more adaptive organizations. With contributions from global thought leaders, this book is an essential resource for anyone interested in the future of intelligent business and digital transformation. Embrace the power of AI—empowering tomorrow’s systems, today. |
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