Articles by "IBM"

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Keith McCormick, Jesus Salcedo, Jon Peck, Andrew Wheeler ... 528 pages - Publisher: Wiley; 1st edition (May, 2017) ... Language: English - ISBN-10: 1119003555 - ISBN-13: 978-1119003557

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.

The IBM SPSS Statistics helps data analysts, planners, forecasters, survey researchers, program evaluators and database marketers – among others – to easily accomplish tasks at every phase of the analytical process. It includes a broad array of fully integrated Statistics capabilities and related products for specialized analytical tasks across the enterprise. The software will improve productivity significantly and help achieve superior results for specific projects and business goals.

IBM SPSS Statistics v25 [Size: 722 MB] ... IBM SPSS Statistics Subscription delivers the power of SPSS Statistics predictive analytics capabilities with a flexible subscription payment option, including an easier purchasing, management and licensing experience. With the introduction of SPSS Statistics Subscription, organizations, groups and individuals can take advantage of predictive analytics capabilities to deliver the maximum amount of value to the user. Propel research & analysis with a fast and powerful solution: A comprehensive set of statistical tools - Work inside a single, integrated interface to run descriptive statistics, regression, advanced statistics and many more. Create publication ready charts, tables, and decision trees in one tool. - Integration with Open Source - Enhance the SPSS Syntax with R and Python through specialized extensions. Leverage the 130+ extensions available on our Extension Hub, or build your own and share with your peers to create a customized solution. - Easy statistical analysis - Use a simple drag and drop interface to access a wide range of capabilities and work across multiple data sources. Plus, flexible deployment options make purchasing and managing your software easy. Subscription Base: Data Preparation - IBM SPSS Data Preparation is a fully integrated module of IBM SPSS Statistics. - Bootstrapping - Bootstrapping is a useful technique for testing model stability. Custom Tables and Advanced Statistics Add-On: Advanced Statistics - Improve the accuracy of your analysis and the dependability of your conclusions with statistics designed for complex relationships. - Regression - IBM SPSS Regression enables you to predict categorical outcomes and apply various nonlinear regression procedures. - Custom Tables: IBM SPSS Custom Tables enables you to summarize SPSS Statistics data, and display your analyses as presentation-quality, production-ready tables.

Perry R. Hinton, Isabella McMurray, Charlotte Brownlow ...
 386 pages - Publisher: Routledge; 2nd edition (May, 2014) ... Language: English - ISBN-10: 0415616026 - ISBN-13: 978-0415616027 ...

SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test - explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels - frequently asked questions at the end of each chapter.The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used - an introduction to binary logistic regression - coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students.The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book.

Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.

Lawrence S. Meyers, Glenn C. Gamst, A. J. Guarino ... 736 pages - Publisher: Wiley; (August, 2013) ... Language: English - ISBN-10: 1118357019 - ISBN-13: 978-1118357019 ... 

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.

Robert Ho ... 600 pages - Publisher: Chapman and Hall/CRC; 2nd edition (October, 2013) ... Language: English - ISBN-10: 1439890218 - ISBN-13: 978-1439890219 ...

Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics and has been updated with the SPSS statistical package for Windows. New to the Second Edition: Three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation - New section on how to deal with missing data - Coverage of tests of assumptions, such as linearity, outliers, normality, homogeneity of variance-covariance matrices, and multicollinearity - Discussions of the calculation of Type I error and the procedure for testing statistical significance between two correlation coefficients obtained from two samples - Expanded coverage of factor analysis, path analysis (test of the mediation hypothesis), and structural equation modeling. Suitable for both newcomers and seasoned researchers in the social sciences, the handbook offers a clear guide to selecting the right statistical test, executing a wide range of univariate and multivariate statistical tests via the Windows and syntax methods, and interpreting the output results. The SPSS syntax files used for executing the statistical tests can be found in the appendix. Data sets employed in the examples are available on the book’s CRC Press web page.

Andy Field ... 915 pages -Publisher: SAGE Publications Ltd; 4th edition (January, 2013) ...
Language: English - ISBN-10: 1446249182 - ISBN-13: 978-9351500827 ...

Unrivaled in the way it makes the teaching of statistics compelling and accessible to even the most anxious of students, the only statistics textbook you and your students will ever need just got better! Andy Field's comprehensive and bestselling Discovering Statistics Using SPSS 4th Edition takes students from introductory statistical concepts through very advanced concepts, incorporating SPSS throughout. The Fourth Edition focuses on providing essential content updates, better accessibility to key features, more instructor resources, and more content specific to select disciplines. It also incorporates powerful new digital developments on the textbook's companion website.

James O. Aldrich, James B. Cunningham ... 472 pages - Publisher: SAGE Publications; 2nd edition (July, 2015) ... Language: English - ISBN-10: 1483383571 - ISBN-13: 978-1483383576 ...

For those who have a basic understanding of statistics and want to learn SPSS on their own, Using IBM SPSS Statistics, Second Edition by James O. Aldrich and James B. Cunningham is a concise, practical guide that can be used in conjunction with another text or as a self-instructional resource. With the assistance of ample screenshots, bullet points, and callouts, readers master SPSS by inputting and analyzing their own data, rather than simply opening existing databases. The Second Edition introduces advanced concepts such as Logistic Regression, Principal Components Factor Analysis, and more complex graphing methods. This edition is compatible with IBM SPSS versions through 23.

Martin Lee Abbott ... 
552 pages - Publisher: Wiley; 1st edition (September 13, 2011)
Language: English - ISBN-10: 0470889454 - ISBN-13: 978-0470889459

Utilizing the latest software, this book presents the essential statistical procedures for drawing valuable results from data in the social sciences.

Mobilizing interesting real-world examples from the field of education, "Understanding Educational Statistics Using Microsoft Excel and SPSS" supplies a seamless presentation that identifies valuable connections between statistical applications and research design. Class-tested to ensure an accessible presentation, the book combines clear, step-by-step explanations and the use of software packages that are accessible to both the novice and professional alike to present the fundamental statistical practices for organizing, understanding, and drawing conclusions from educational research data.

The book begines with an introduction to descriptive and inferential statistics and then proceeds to acquaint readers with the various functions for working with quantitative data in the Microsoft Excel environment, such as spreadsheet navigation; sorting and filtering; and creating pivot tables. Subsequent chapters treat the procedures that are commonly-employed when working with data across various fields of social science research, including: Single-sample tests Repeated measure tests Independent t-tests One way ANOVA and factorial ANOVA Correlation Bivariate regression Chi square Multiple regression

Individual chapters are devoted to specific procedures, each ending with a lab exercise that highlights the importance of that procedure by posing a research question, examining the question through its application in Excel and SPSS, and concluding with a brief research report that outlines key findings drawn from the results. Real-world examples and data from modern educational research are used throughout the book, and a related Web site features additional data sets, examples, and labs, allowing readers to reinforce their comprehension of the material.

Bridging traditional statistical topics with the latest software and applications in the field of education, "Understanding Educational Statistics Using Microsoft Excel and SPSS" is an excellent book for courses on educational research methods and introductory statistics in the social sciences at the upper-undergraduate and graduate levels. It also serves as a valuable resource for researchers and practitioners in the fields of education, psychology, and the social sciences who require a statistical background to work with data in their everyday work.

George A. Morgan, Nancy L. Leech, Gene W. Gloeckner, Karen C. Barrett  ... 
256 pages - Publisher: Routledge; 5th edition (July, 2012) ... Language: English - ISBN-10: 1848729820 - ISBN-13: 978-1848729827

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.

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.

Joaquim P. Marques de Sá ... 
505 pages -Publisher: Springer; 2nd edition (July 20, 2007)
Language: English - ISBN-10: 3540719717 - ISBN-13: 978-3540719717

Intended for anyone needing to apply statistical analysis to a large variety of science and engineering problems, this book shows how to use SPSS, MATLAB, STATISTICA and R for data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. The 2nd edition includes the R language, a new section on bootstrap estimation methods and an improved treatment of tree classifiers, plus additional examples and exercises.

IBM SPSS Statistics Premium v23 x86 [Size: 742 MB] ... An all-in-one edition for enterprise businesses with multiple advanced analytics requirements: The IBM SPSS Statistics Premium Edition helps data analysts, planners, forecasters, survey researchers, program evaluators and database marketers – among others – to easily accomplish tasks at every phase of the analytical process. It includes a broad array of fully integrated Statistics capabilities and related products for specialized analytical tasks across the enterprise. The software will improve productivity significantly and help achieve superior results for specific projects and business goals. The IBM SPSS Statistics Premium Edition includes the following capabilities: Linear models offer a variety of regression and advanced statistical procedures designed to fit the inherent characteristics of data describing complex relationships. + Nonlinear models provide the ability to apply more sophisticated models to data. + Geospatial analytics enables users to integrate, explore and model location and time data. + Simulation capabilities help analysts automatically model many possible outcomes when inputs are uncertain, improving risk analysis and decision making. + Customized tables enable users to easily understand their data and quickly summarize results in different styles for different audiences. + Data preparation streamlines the data preparation stage of the analytical process. + Data validity and missing values increase the chance of receiving statistically significant results. + Categorical and numeric data can be used to predict outcomes and reveal relationships graphically. + Decision trees make it easier to identify groups, discover relationships between groups and predict future events. + Forecasting features enable you to analyze historical data and predict trends faster. + Structural equation modeling tools let you build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionality. + Bootstrapping makes it simple to test the stability and reliability of models so that they produce accurate, reliable results. + Advanced sampling assessment and testing helps make more statistically valid inferences by incorporating the sample design into survey analysis. + Direct marketing and product decision-making tools help marketers identify the right customers easily and improve campaign results. + High-end charts and graphs make it easy to create and share and interact with compelling visualizations results on a range of platforms and smart devices.

IBM SPSS Statistics Amos 23.0 [Size: 64 MB] ... Easily perform structural equation modeling: IBM® SPSS® Amos enables you to specify, estimate, assess and present models to show hypothesized relationships among variables. The software lets you build models more accurately than with standard multivariate statistics techniques. Users can choose either the graphical user interface or non-graphical, programmatic interface.

SPSS Amos allows you to build attitudinal and behavioral models that reflect complex relationships. The software: Provides structural equation modeling (SEM)—that is easy to use and lets you easily compare, confirm and refine models. + Uses Bayesian analysis—to improve estimates of model parameters. + Offers various data imputation methods—to create different data sets.

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