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| spss 24 manual: Ebook: SPSS Surival Manual: A Step by Step Guide to Data Analysis using IBM SPSS Julie Pallant, 2020-04-01 The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software. In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in Psychology, Sociology, Health Sciences, Medicine, Education, Business and related disciplines, the SPSS Survival Manual is an essential text. It is illustrated throughout with screen grabs, examples of output and tips, and is also further supported by a website with sample data and guidelines on report writing. This seventh edition is fully revised and updated to accommodate changes to IBM SPSS procedures. |
| spss 24 manual: How to Use SPSS Brian C. Cronk, 2018 Designed for use by novice computer users, this text begins with the basics, such as starting SPSS, defining variables, and entering and saving data. * All major statistical techniques covered in beginning statistics classes are included: descriptive statistics graphing data prediction and association parametric inferential statistics nonparametric inferential statistics statistics for test construction * Each section starts with a brief description of the statistic that is covered and important underlying assumptions, which help students select appropriate statistics. * Each section describes how to interpret results and express them in a research report after the data are analyzed. For example, students are shown how to phrase the results of a significant and an insignificant t test. * More than 200 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. * A glossary of statistical terms is included, which makes a handy reference for students who need to review the meanings of basic statistical terms. * Practice exercises throughout the book give students stimulus material to use as they practice to achieve mastery of the program. * Thoroughly field-tested; your students are certain to appreciate this book. |
| spss 24 manual: SPSS Survival Manual Julie Pallant, The SPSS Survival Manual throws a lifeline to students and researchers grappling with this data analysis software. In this thoroughly revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Pallant discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report. For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. In this fourth edition all chapters have been updated to accommodate changes to SPSS procedures, screens and output. A number of additional techniques (McNemar's Test, Cochran's Q Test) have been included in the non-parametric statistics chapter. 'An excellent introduction to using SPSS for data analysis... It provides a self-contained resource itself, with more than simply (detailed and clear) step-by-step descriptions of statistical procedures in SPSS. There is also a wealth of tips and advice, and for each statistical technique a brief, but consistently reliable, explanation is provided.' - Associate Professor George Dunbar, Department of Psychology, University of Warwick 'This book is recommended as ESSENTIAL to all students completing research projects - minor and major.' - John Roodenburg, Faculty of Education, Monash University |
| spss 24 manual: IBM SPSS Statistics 19 Made Simple Colin D. Gray, Paul R. Kinnear, 2012 This text combines simplicity and clarity of presentation with a comprehensive treatment of the use of SPSS19 for the analysis and interpretation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. |
| spss 24 manual: SPSS for Beginners Greeson Ruben, 2021-10-27 Do you want to get better, become efficient, and find new opportunities with this SPSS statistical tool? If your answer is yes, then this book will answer your questions about the SPSS program. This Statistical Analytic Tool is widely used in several fields, such as competitor analysis, surveys, market research, doctoral or Ph.D. research, business administration, and more. It is a flexible and all-inclusive data management and analysis tool that will help you access better and more detailed knowledge from your data. SPSS is one of the best statistical packages you will find around that performs very intricate data analysis and manipulation without stress. This guide will give you the basics needed for proficiency on any SPSS version. This book will help researchers and students to process and analyze data gotten from opinion polls, questionnaires, feasibility studies and other survey data. In this book, you will learn all you need to know about how to operate and navigate the SPSS statistics software. Scroll up and Click on the BUY NOW WITH 1-CLICK button to get this book. |
| spss 24 manual: An Intermediate Guide to SPSS Programming Sarah Boslaugh, 2005 An Intermediate Guide to SPSS Programming: Using Syntax for Data Management introduces the major tasks of data management and presents solutions using SPSS syntax. This book fills an important gap in the education of many students and researchers, whose coursework has left them unprepared for the data management issues that confront them when they begin to do independent research. It also serves as an introduction to SPSS programming. All the basic features of SPSS syntax are illustrated, as are many intermediate and advanced topics such as using vectors and loops, reading complex data files, and using the SPSS macro language. |
| spss 24 manual: IBM SPSS Statistics 25 Step by Step Darren George, Paul Mallery, 2018-10-16 IBM SPSS Statistics 25 Step by Step: A Simple Guide and Reference, fifteenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers both the basics of descriptive statistical analysis using SPSS through to more advanced topics such as multiple regression, multidimensional scaling and MANOVA, including instructions for Windows and Mac. This makes it ideal for both undergraduate statistics courses and for postgraduates looking to further develop their statistics and SPSS knowledge. New to this edition: Updated throughout to SPSS 25 Updated / restructured material on: Chart Builder; Univariate ANOVA; moderation on two- and three-way ANOVA; and Factor Analytic Techniques (formerly Factor Analysis structure) New material on computing z and T scores, and on computing z scores within descriptive statistics Clearer in-chapter links between the type of data and type of research question that the procedure can answer Updated / additional datasets, exercises, and expanded Companion Website material, including Powerpoint slides for instructors |
| spss 24 manual: IBM SPSS Statistics 27 Step by Step Darren George, Paul Mallery, 2021 IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, seventeenth edition, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of four-color screen shots, clear writing, and step-by-step boxes guide readers through the program. Output for each procedure is explained and illustrated, and every output term is defined. Exercises at the end of each chapter support students by providing additional opportunities to practice using SPSS. This book covers the basics of statistical analysis and addresses more advanced topics such as multidimensional scaling, factor analysis, discriminant analysis, measures of internal consistency, MANOVA (between- and within-subjects), cluster analysis, Log-linear models, logistic regression, and a chapter describing residuals. The end sections include a description of data files used in exercises, an exhaustive glossary, suggestions for further reading, and a comprehensive index. IBM SPSS Statistics 27 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved an invaluable aid to thousands of researchers and students. New to this edition: Screenshots, explanations, and step-by-step boxes have been fully updated to reflect SPSS 27 A new chapter on a priori power analysis helps researchers determine the sample size needed for their research before starting data collection. |
| spss 24 manual: SPSS Statistics for Data Analysis and Visualization Keith McCormick, Jesus Salcedo, 2017-04-17 Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These hidden tools can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need. |
| spss 24 manual: SPSS for Research Methods Wilson-Doenges, Georjeanna, 2021-10-18 This guide reveals the best ways for students to analyze data and interpret results in SPSS. Georjeanna Wilson-DoengesÕs direct writing style, real sample data from her research methods class, integrated APA-style results, and detailed yet clear screenshots ensure that students feel confident using the program. Her exciting revision not only reflects the latest updates to SPSS and APA guidelines, but also includes new engaging step-by-step video tutorials. |
| spss 24 manual: IBM SPSS for Introductory Statistics George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett, 2012-09-10 Designed to help students analyze and interpret research data using IBM SPSS, this user-friendly book, written in easy-to-understand language, shows readers how to choose the appropriate statistic based on the design, and to interpret outputs appropriately. The authors prepare readers for all of the steps in the research process: design, entering and checking data, testing assumptions, assessing reliability and validity, computing descriptive and inferential parametric and nonparametric statistics, and writing about outputs. Dialog windows and SPSS syntax, along with the output, are provided. Three realistic data sets, available on the Internet, are used to solve the chapter problems. The new edition features: Updated to IBM SPSS version 20 but the book can also be used with older and newer versions of SPSS. A new chapter (7) including an introduction to Cronbach’s alpha and factor analysis. Updated Web Resources with PowerPoint slides, additional activities/suggestions, and the answers to even-numbered interpretation questions for the instructors, and chapter study guides and outlines and extra SPSS problems for the students. The web resource is located www.routledge.com/9781848729827 . Students, instructors, and individual purchasers can access the data files to accompany the book at www.routledge.com/9781848729827 . IBM SPSS for Introductory Statistics, Fifth Edition provides helpful teaching tools: All of the key IBM SPSS windows needed to perform the analyses. Complete outputs with call-out boxes to highlight key points. Flowcharts and tables to help select appropriate statistics and interpret effect sizes. Interpretation sections and questions help students better understand and interpret the output. Assignments organized the way students proceed when they conduct a research project. Examples of how to write about outputs and make tables in APA format. Helpful appendices on how to get started with SPSS and write research questions. An ideal supplement for courses in either statistics, research methods, or any course in which SPSS is used, such as in departments of psychology, education, and other social and health sciences. This book is also appreciated by researchers interested in using SPSS for their data analysis. |
| spss 24 manual: Discovering Statistics Using IBM SPSS Statistics Andy Field, 2017-11-14 With an exciting new look, new characters to meet, and its unique combination of humour and step-by-step instruction, this award-winning book is the statistics lifesaver for everyone. From initial theory through to regression, factor analysis and multilevel modelling, Andy Field animates statistics and SPSS software with his famously bizarre examples and activities. What’s brand new: A radical new design with original illustrations and even more colour A maths diagnostic tool to help students establish what areas they need to revise and improve on. A revamped online resource that uses video, case studies, datasets, testbanks and more to help students negotiate project work, master data management techniques, and apply key writing and employability skills New sections on replication, open science and Bayesian thinking Now fully up to date with latest versions of IBM SPSS Statistics©. All the online resources above (video, case studies, datasets, testbanks) can be easily integrated into your institution′s virtual learning environment or learning management system. This allows you to customize and curate content for use in module preparation, delivery and assessment. Please note that ISBN: 9781526445780 comprises the paperback edition of the Fifth Edition and the student version of IBM SPSS Statistics. |
| spss 24 manual: SPSS Statistics For Dummies Jesus Salcedo, Keith McCormick, 2020-09-09 The fun and friendly guide to mastering IBM’s Statistical Package for the Social Sciences Written by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis. Covering the latest release and updates to SPSS 27.0, and including more than 150 pages of basic statistical theory, it helps you understand the mechanics behind the calculations, perform predictive analysis, produce informative graphs, and more. You’ll even dabble in programming as you expand SPSS functionality to suit your specific needs. Master the fundamental mechanics of SPSS Learn how to get data into and out of the program Graph and analyze your data more accurately and efficiently Program SPSS with Command Syntax Get ready to start handling data like a pro—with step-by-step instruction and expert advice! |
| spss 24 manual: Interpreting Quantitative Data with SPSS Rachad Antonius, 2003-01-22 This is a textbook for introductory courses in quantitative research methods across the social sciences. It offers a detailed explanation of introductory statistical techniques and presents an overview of the contexts in which they should be applied. |
| spss 24 manual: A Step-by-Step Guide to Exploratory Factor Analysis with R and RStudio Marley Watkins, 2020-12-29 This is a concise, easy to use, step-by-step guide for applied researchers conducting exploratory factor analysis (EFA) using the open source software R. In this book, Dr. Watkins systematically reviews each decision step in EFA with screen shots of R and RStudio code, and recommends evidence-based best practice procedures. This is an eminently applied, practical approach with few or no formulas and is aimed at readers with little to no mathematical background. Dr. Watkins maintains an accessible tone throughout and uses minimal jargon and formula to help facilitate grasp of the key issues users will face while applying EFA, along with how to implement, interpret, and report results. Copious scholarly references and quotations are included to support the reader in responding to editorial reviews. This is a valuable resource for upper-level undergraduate and postgraduate students, as well as for more experienced researchers undertaking multivariate or structure equation modeling courses across the behavioral, medical, and social sciences. |
| spss 24 manual: IBM SPSS by Example Alan C. Elliott, Wayne A. Woodward, 2014-12-31 The updated Second Edition of Alan C. Elliott and Wayne A. Woodward’s “cut to the chase” IBM SPSS guide quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision making in a wide variety of disciplines. This one-stop reference provides succinct guidelines for performing an analysis using SPSS software, avoiding pitfalls, interpreting results, and reporting outcomes. Written from a practical perspective, IBM SPSS by Example, Second Edition provides a wealth of information—from assumptions and design to computation, interpretation, and presentation of results—to help users save time, money, and frustration. |
| spss 24 manual: Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics William E. Wagner, III, 2019-05-07 Using IBM® SPSS® Statistics for Research Methods and Social Science Statistics is the perfect companion for students who are learning to use SPSS® software to interpret and manage data within their social statistics and/or research methods courses. Both first-time and more experienced SPSS® users will appreciate author William E. Wagner, III’s step-by-step explanations of SPSS® operating procedures and introductory statistical operations. The Seventh Edition reflects SPSS® Version 25.0 and incorporates the latest results from the General Social Survey (GSS) as a secondary data set. Using examples, tables, and actual SPSS® screen captures, it guides users through several different kinds of SPSS® files including data files, output files, and syntax files. |
| spss 24 manual: Using Statistical Methods in Social Science Research Soleman H. Abu-Bader, 2011-07-01 In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings. |
| spss 24 manual: R for SAS and SPSS Users Robert A. Muenchen, 2011-08-27 R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections. |
| spss 24 manual: Performing Data Analysis Using IBM SPSS Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino, 2013-08-12 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 analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry. |
| spss 24 manual: Systems of Insight for Digital Transformation: Using IBM Operational Decision Manager Advanced and Predictive Analytics Whei-Jen Chen, Rajeev Kamath, Alexander Kelly, Hector H. Diaz Lopez, Matthew Roberts, Yee Pin Yheng, IBM Redbooks, 2015-12-03 Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced. |
| spss 24 manual: Business Research Methods and Statistics Using SPSS Robert P Burns, Richard Burns, 2008-11-20 Ideal for those with a minimum of mathematical and statistical knowledge, Business Research Methods and Statistics Using SPSS provides an easy to follow approach to understanding and using quantitative methods and statistics. It is solidly grounded in the context of business and management research, enabling students to appreciate the practical applications of the techniques and procedures explained. The book is comprehensive in its coverage, including discussion of the business context, statistical analysis of data, survey methods, and reporting and presenting research. A companion website also contains four extra chapters for the more advanced student, along with PowerPoint slides for lecturers, and additional questions and exercises, all of which aim to help students to: - Understand the importance and application of statistics and quantitative methods in the field of business - Design effective research studies - Interpret statistical results - Use statistical information meaningfully - Use SPSS confidently |
| spss 24 manual: Biostatistics Manual for Health Research Nafis Faizi, Yasir Alvi, 2023-04-19 **Selected for Doody's Core Titles® 2024 in Biostatistics**Biostatistics Manual for Health Research: A Practical Guide to Data Analysis is a guide for researchers on how to apply biostatistics on different types of data. The book approaches biostatistics and its application from medical and health researcher's point-of-view and has real and mostly published data for practice and understanding. The interpretation and meaning of the statistical results, reporting guidelines and mistakes are taught with real world examples. This is a valuable resource for biostaticians, students and researchers from medical and biomedical fields who need to learn how to apply statistical approaches to improve their research. - Applies a practical and solution centric approach to support readers to successfully manage their research data - Explains step-by-step the different biostatistical tests, including screenshots from the most common softwares used currently for easy consult - Summarizes the content of each chapter in concise text boxes to help readers find the right information when needed |
| spss 24 manual: R For Dummies Andrie de Vries, Joris Meys, 2012-06-06 Master the programming language of choice among statisticians and data analysts worldwide Coming to grips with R can be tough, even for seasoned statisticians and data analysts. Enter R For Dummies, the quick, easy way to master all the R you'll ever need. Requiring no prior programming experience and packed with practical examples, easy, step-by-step exercises, and sample code, this extremely accessible guide is the ideal introduction to R for complete beginners. It also covers many concepts that intermediate-level programmers will find extremely useful. Master your R ABCs ? get up to speed in no time with the basics, from installing and configuring R to writing simple scripts and performing simultaneous calculations on many variables Put data in its place ? get to know your way around lists, data frames, and other R data structures while learning to interact with other programs, such as Microsoft Excel Make data dance to your tune ? learn how to reshape and manipulate data, merge data sets, split and combine data, perform calculations on vectors and arrays, and much more Visualize it ? learn to use R's powerful data visualization features to create beautiful and informative graphical presentations of your data Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t-tests Expand and customize R ? get the lowdown on how to find, install, and make the most of add-on packages created by the global R community for a wide variety of purposes Open the book and find: Help downloading, installing, and configuring R Tips for getting data in and out of R Ways to use data frames and lists to organize data How to manipulate and process data Advice on fitting regression models and ANOVA Helpful hints for working with graphics How to code in R What R mailing lists and forums can do for you |
| spss 24 manual: Using SPSS for Windows Susan B. Gerber, Kristin Voelkl Finn, 2005-03-25 The second edition of this popular guide demonstrates the process of entering and analyzing data using the latest version of SPSS (12.0), and is also appropriate for those using earlier versions of SPSS. The book is easy to follow because all procedures are outlined in a step-by-step format designed for the novice user. Students are introduced to the rationale of statistical tests and detailed explanations of results are given through clearly annotated examples of SPSS output. Topics covered range from descriptive statistics through multiple regression analysis. In addition, this guide includes topics not typically covered in other books such as probability theory, interaction effects in analysis of variance, factor analysis, and scale reliability. Chapter exercises reinforce the text examples and may be performed for further practice, for homework assignments, or in computer laboratory sessions. This book can be used in two ways: as a stand-alone manual for students wishing to learn data analysis techniques using SPSS for Windows, or in research and statistics courses to be used with a basic statistics text. The book provides hands-on experience with actual data sets, helps students choose appropriate statistical tests, illustrates the meaning of results, and provides exercises to be completed for further practice or as homework assignments. Instructions are provided for using the World Wide Web to obtain the data sets to be analyzed. With this guide, students learn how to conduct reasonably sophisticated statistical analyses using SPSS while gaining insight into the nature and purpose of statistical investigation. Susan B. Gerber, Ph.D. is Assistant Professor of Education at State University of New York at Buffalo. She is director of the Educational Technology program and holds degrees in Statistics and Educational Psychology. Kristin Voelkl Finn, Ph.D. is Assistant Professor of Education at Canisius College. She teaches graduate courses in research methodology and conducts research on adolescent problem behavior. |
| spss 24 manual: Optimization and Decision Support Design Guide: Using IBM ILOG Optimization Decision Manager Axel Buecker, Yana Ageeva, Veronique Blanchard, Dr. Jeremy Bloom, Dr. Mehmet F. Candas, Joao Chaves, Guang Feng, Abhishek Raman, Dr. Hans Schlenker, IBM Redbooks, 2012-10-10 Today many organizations face challenges when developing a realistic plan or schedule that provides the best possible balance between customer service and revenue goals. Optimization technology has long been used to find the best solutions to complex planning and scheduling problems. A decision-support environment that enables the flexible exploration of all the trade-offs and sensitivities needs to provide the following capabilities: Flexibility to develop and compare realistic planning and scheduling scenarios Quality sensitivity analysis and explanations Collaborative planning and scenario sharing Decision recommendations This IBM® Redbooks® publication introduces you to the IBM ILOG® Optimization Decision Manager (ODM) Enterprise. This decision-support application provides the capabilities you need to take full advantage of optimization technology. Applications built with IBM ILOG ODM Enterprise can help users create, compare, and understand planning or scheduling scenarios. They can also adjust any of the model inputs or goals, and fully understanding the binding constraints, trade-offs, sensitivities, and business options. This book enables business analysts, architects, and administrators to design and use their own operational decision management solution. |
| spss 24 manual: A Handbook of Statistical Analyses Using SPSS Sabine Landau, Brian S. Everitt, 2003-11-24 A Handbook of Statistical Analyses Using SPSS clearly describes how to conduct a range of univariate and multivariate statistical analyses using the latest version of the Statistical Package for the Social Sciences, SPSS 11. Each chapter addresses a different type of analytical procedure applied to one or more data sets, primarily from the social and behavioral sciences areas. Each chapter also contains exercises relating to the data sets introduced, providing readers with a means to develop both their SPSS and statistical skills. Model answers to the exercises are also provided. Readers can download all of the data sets from a companion Web site furnished by the authors. |
| spss 24 manual: Biostatistics Wayne W. Daniel, Chad L. Cross, 2018-11-13 The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medicine. Clearly-defined pedagogical tools help students stay up-to-date on new material, and an emphasis on statistical software allows faster, more accurate calculation while putting the focus on the underlying concepts rather than the math. Students develop highly relevant skills in inferential and differential statistical techniques, equipping them with the ability to organize, summarize, and interpret large bodies of data. Suitable for both graduate and advanced undergraduate coursework, this text retains the rigor required for use as a professional reference. |
| spss 24 manual: Intermediate Statistics Using SPSS Herschel Knapp, 2017-09-14 What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics. |
| spss 24 manual: Research Methods in Education Louis Cohen, Lawrence Manion, Keith Morrison, 2007-05-07 This fully updated sixth edition of the international bestseller Research Methods in Education covers the whole range of methods currently employed by educational research at all stages. It is divided into five main parts: the context of educational research; planning educational research; styles of educational research; strategies for data collection and researching; and data analysis. The book also contains references to a comprehensive dedicated website of accompanying materials. The sixth edition includes new material on: complexity theory, ethics, sampling and sensitive educational research experimental research, questionnaire design and administration with practical guidance qualitative and quantitative data analysis, with practical examples internet based research. Research Methods in Education is essential reading for the professional researcher and continues to be the standard text for students and lecturers in educational research. To access the dedicated website of accompanying materials, please visit: www.routledge.com/textbooks/9780415368780. |
| spss 24 manual: SPSS for Windows Step by Step Darren George, Paul Mallery, 2003 This text covers all major SPSS procedures for version 11.0 and earlier versions. Each analysis chapter is organized according to a structured, identical format, with step-by-step instructions. |
| spss 24 manual: Cultural Interactions of English-Medium Instruction at Vietnamese Universities Thi Quynh Huong Luu, Helena Hing Wa Sit, Shen Chen, 2022-12-16 This book presents a case study of English-Medium Instruction (EMI) implemented by universities in Vietnam, making valuable theoretical, empirical, and methodological contributions to the research in EMI which is currently a popular theme in the field of Higher Education. The importance of internationalization of higher education has been widely recognized by many countries all over the world. The spread of English as an international language has resulted in its crucial role in teaching and learning any disciplines. Globally, higher education in many non-English speaking countries has witnessed rapid expansion of (EMI) which was initiated in Europe, then to Asia and other continents which are featured with “Cultural Circles” spread in the world. Although there are many publications with the same theme available today, this monograph is unique because it is the first time to examine EMI classroom interaction from the cultural perspective specifically rather than from linguistic or pedagogical perspectives. It is a pioneering attempt to discuss in depth about cultural issues relating to EMI, namely (1) the social-cultural context of EMI classes in higher education; (2) the cultural backgrounds of EMI teachers and learners; and (3) culture interactions between teachers and learners in EMI classrooms. In addition, both quantitative and qualitative methods are employed to collect data from teachers and learners. Finally, a context-based model of EMI is proposed based on findings of this research. As a country within the Confucius Heritage Cultural Circle, Vietnam has been selected for this study because few studies to date are carried out in how EMI is culturally integrated to teaching and learning in the Vietnamese universities. This book is a joint effort by international academics, prepared for established scholars, researchers, educators, and research higher degree students who are interested in higher education, second and foreign language education and EMI teacher training. |
| spss 24 manual: Statistics for Social Understanding Nancy E. Whittier, Tina Wildhagen, Howard J. Gold, 2024-08-06 An engaging, problem-based approach that tackles real-world issues |
| spss 24 manual: Research Methods and Statistics in Psychology Hugh Coolican, 2018-11-08 The seventh edition of Research Methods and Statistics in Psychology provides students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of experimental, interviewing and observational methods, psychological testing, qualitative methods and analysis and statistical procedures which include nominal level tests, multi-factorial ANOVA designs, multiple regression, log linear analysis, and factor analysis. It features detailed and illustrated SPSS instructions for all these and other procedures, eliminating the need for an extra SPSS textbook. New features to this edition include: Additional coverage of factor analysis and online and modern research methods Expanded coverage of report writing guidelines References updated throughout Presentation updated throughout, to include more figures, tables and full colour to help break up the text Companion website signposted throughout the book to improve student usability Improved and extended web links and further reading associated with every chapter. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A fully updated companion website (www.routledge.com/cw/coolican) provides additional exercises, testbanks for each chapter, revision flash cards, links to further reading and data for use with SPSS. |
| spss 24 manual: Analysis of Ordered Categorical Data Janis Chang, 1988 |
| spss 24 manual: SPSS 13.0 Brief Guide SPSS Inc, 2004 TheSPSS 13.0 Brief Guideprovides a set of tutorials designed to acquaint you with the various components of the SPSS system.You can work through the tutorials in sequence or turn to the topics for which you need additional information. You can use this guide as a supplement to the online tutorial that is included with the SPSS Base 13.0 system or ignore the online tutorial and start with the tutorials found here. |
| spss 24 manual: Multivariate Data Analysis with Readings Joseph F. Hair, 1995 Examining your data. Multiple regression analysis. Multiple discriminat analysis. Multivariate analysis of variance. Canonical correlation analysis. Factor analysis. Cluster analysis. Multidimensional scaling. Conjoint analysis. Structural equation modeling. |
| spss 24 manual: Introduction to Mediation, Moderation, and Conditional Process Analysis, Second Edition Andrew F. Hayes, 2017-10-19 Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderator; using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models. |
| spss 24 manual: How to Make Sense of Statistics Stephen Gorard, 2021-02-10 In a new textbook designed for students new to statistics and social data, Stephen Gorard focuses on non-inferential statistics as a basis to ensure students have basic statistical literacy. Understanding why we have to learn statistics and seeing the links between the numbers and real life is a crucial starting point. Using engaging, friendly, approachable language this book will demystify numbers from the outset, explaining exactly how they can be used as tools to understand the relationships between variables. This text assumes no previous mathematical or statistical knowledge, taking the reader through each basic technique with step-by-step advice, worked examples, and exercises. Using non-inferential techniques, students learn the foundations that underpin all statistical analysis and will learn from the ground up how to produce theoretically and empirically informed statistical results. |
| spss 24 manual: Reference Manual on Population and Housing Statistics from the Census Bureau Paul T. Zeisset, 1978 |
spss怎么下载呀，应该下载哪个版本的呀？？ - 知乎
下载spss的地方很多，大抵有以下几个。 一、spss官网（蛮贵的，个人买不太合算，土豪除外；有的学校和单位会买） 二、经管之家（老的名字叫人大经济论坛） 这里很多雷锋会分享免费程序，但需要 …
如何快速掌握 SPSS ？ - 知乎
学习spss的重点并不在软件本身，而是相关的统计学知识，也就是你要学会怎样去分析“输入数据后，软件给你呈现的结果” 好吧，就让我们回到最初的起点，呆呆的跪在统计学面前
用SPSS可以做什么？如何用好SPSS？ - 知乎
spss可以说是统计分析的入门软件了。从 描述性统计分析 ，到多元统计分析，到模型分钟， SPSS 都可以处理。 而且，操作也不难，是通过窗口操作就可以了，不像 Sas 和R，需要编写需要来实现分析 …
小白爱上SPSS - 知乎
你好！欢迎参加《小白爱上spss》课。 前面我们学习过线性相关分析，已知线性相关分析针对的是符合正态性分布的连续型变量，然而在科学研究中，有些数据不符合正态性分布，有些数据也并不连续， …
spssau 和 spss 的区别有哪些？ - 知乎
我们的答案是当然可以了！关于这个问题，不得不提到spss，这是一个国外的统计分析工具，因为出现时间很久了，现在基本上已经形成一种默契，就是以它为一种标准，但实际上，spssau和spss本质上 …
科研常用的SPSS等软件，个人用户如果想购买正版的可以通过什 …
科研常用的spss等软件，个人用户如果想购买正版的可以通过什么途径？ 价格大概是多少？ SPSS只找到IBM和一家代理公司的网站，且都要询价
一文彻底讲透聚类分析（基于SPSS软件实现） - 知乎
我的《spss统计分析精华版课程》经过长时间的精心准备，终于和大家见面了！ 做这套课的初衷就是因为大家非常需要这样一门“针对小白的、零基础的、实战讲解的，聚焦核心统计方法——SPSS精华版 …
SPSS版本是越新越好吗？用哪个版本更好？ - 知乎
《spss统计学基础与实证研究应用精解》张甜 杨维忠著 清华大学出版社. 本书手把手教会使用spss撰写实证研究类论文或开展数据分析 常用统计学原理、实证研究的套路、调查问卷设计、信度分析、效 …
mac如何成功安装spss，谢谢？ - 知乎
IBM SPSS Statistics是一款专业的 数据统计分析软件 ，无论是在学术研究领域，还是商业经营领域，都起着举足轻重的作用。那么IBM SPSS Statistics的mac版本应该如何安装呢。 安装包在哪里下载？ …
SPSS怎样判断两组数据有无显著差异？ - 知乎
在spss中，判断两组数据有无显著差异主要通过t检验来完成。 具体的步骤我之前曾经出过一期视频进行详细讲解—— 在这个案例中要选的是 独立样本T检验 。
spss怎么下载呀，应该下载哪个版本的呀？？ - 知乎
下载spss的地方很多，大抵有以下几个。 一、spss官网（蛮贵的，个人买不太合算，土豪除外；有的学校和单位会买） 二、经管之家（老的名字叫人大经济论坛） 这里很多雷锋会分享免费程 …
如何快速掌握 SPSS ？ - 知乎
学习spss的重点并不在软件本身，而是相关的统计学知识，也就是你要学会怎样去分析“输入数据后，软件给你呈现的结果” 好吧，就让我们回到最初的起点，呆呆的跪在统计学面前
用SPSS可以做什么？如何用好SPSS？ - 知乎
spss可以说是统计分析的入门软件了。从 描述性统计分析 ，到多元统计分析，到模型分钟， SPSS 都可以处理。 而且，操作也不难，是通过窗口操作就可以了，不像 Sas 和R，需要编写 …
小白爱上SPSS - 知乎
你好！欢迎参加《小白爱上spss》课。 前面我们学习过线性相关分析，已知线性相关分析针对的是符合正态性分布的连续型变量，然而在科学研究中，有些数据不符合正态性分布，有些数据也 …
spssau 和 spss 的区别有哪些？ - 知乎
我们的答案是当然可以了！关于这个问题，不得不提到spss，这是一个国外的统计分析工具，因为出现时间很久了，现在基本上已经形成一种默契，就是以它为一种标准，但实际上，spssau …
科研常用的SPSS等软件，个人用户如果想购买正版的可以通过什 …
科研常用的spss等软件，个人用户如果想购买正版的可以通过什么途径？ 价格大概是多少？ SPSS只找到IBM和一家代理公司的网站，且都要询价
一文彻底讲透聚类分析（基于SPSS软件实现） - 知乎
我的《spss统计分析精华版课程》经过长时间的精心准备，终于和大家见面了！ 做这套课的初衷就是因为大家非常需要这样一门“针对小白的、零基础的、实战讲解的，聚焦核心统计方 …
SPSS版本是越新越好吗？用哪个版本更好？ - 知乎
《spss统计学基础与实证研究应用精解》张甜 杨维忠著 清华大学出版社. 本书手把手教会使用spss撰写实证研究类论文或开展数据分析 常用统计学原理、实证研究的套路、调查问卷设计 …
mac如何成功安装spss，谢谢？ - 知乎
IBM SPSS Statistics是一款专业的 数据统计分析软件 ，无论是在学术研究领域，还是商业经营领域，都起着举足轻重的作用。那么IBM SPSS Statistics的mac版本应该如何安装呢。 安装包在 …
SPSS怎样判断两组数据有无显著差异？ - 知乎
在spss中，判断两组数据有无显著差异主要通过t检验来完成。 具体的步骤我之前曾经出过一期视频进行详细讲解—— 在这个案例中要选的是 独立样本T检验 。
