How to Use SPSS®

A Step-By-Step Guide to Analysis and Interpretation
Author: Brian C. Cronk
Publisher: Routledge
ISBN: 1351390007
Category: Psychology
Page: 166
View: 3790
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How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management

How to Use IBM SPSS Statistics

A Step-By-Step Guide to Analysis and Interpretation
Author: Brian C Cronk
Publisher: Routledge
ISBN: 1351970054
Category: Psychology
Page: 162
View: 8446
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• 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 Survival Manual

A Step by Step Guide to Data Analysis Using IBM SPSS
Author: Julie Pallant
Publisher: Allen & Unwin
ISBN: 1760291951
Category: PASW (Computer file)
Page: 368
View: 2741
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The internationally successful, user-friendly guide that takes students and researchers through the often daunting process of analysing research data with the widely used SPSS software package. Fully revised and updated for IBM SPSS Statistics version 23.

SPSS Survival Manual: A step by step guide to data analysis using the SPSS program


Author: Julie Pallant
Publisher: Allen & Unwin
ISBN: 1742691641
Category: Reference
Page: 318
View: 2737
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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

Social Science Research Design and Statistics

A Practitioner's Guide to Research Methods and IBM SPSS
Author: Alfred P. Rovai,Jason D. Baker,Michael K. Ponton
Publisher: Watertree Press LLC
ISBN: 0978718682
Category: Computers
Page: 556
View: 2741
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This book integrates social science research methods and the descriptions of over 40 univariate, bivariate, and multivariate tests to include a description of the purpose, key assumptions and requirements, example research question and null hypothesis, SPSS procedures, display and interpretation of SPSS output, and what to report for each test. It is classroom tested and current with IBM SPSS 22. This expanded second edition also features companion website materials including copies of the IBM SPSS datasets used to create the SPSS output presented in the book, and Microsoft PowerPoint presentations that display step-by-step instructions on how to run popular SPSS procedures. Included throughout the book are various sidebars highlighting key points, images and SPSS screenshots to assist understanding the material presented, self-test reviews at the end of each chapter, a decision tree to facilitate identification of the proper statistical test, examples of SPSS output with accompanying analysis and interpretations, links to relevant web sites, and a comprehensive glossary. Underpinning all these features is a concise, easy to understand explanation of the material.

IBM SPSS Statistics 23 Step by Step

A Simple Guide and Reference
Author: Darren George,Paul Mallery
Publisher: Routledge
ISBN: 1134793332
Category: Education
Page: 386
View: 813
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IBM SPSS Statistics 23 Step by Step: A Simple Guide and Reference, 14e, takes a straightforward, step-by-step approach that makes SPSS software clear to beginners and experienced researchers alike. Extensive use of vivid, 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. All datasets used in the book are available for download at: https://www.routledge.com/products/ 9780134320250

Spss Survival Manual


Author: Pallant, Julie
Publisher: McGraw-Hill Education (UK)
ISBN: 0335262589
Category: Psychology
Page: 354
View: 4991
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This bestselling guide, covering up to version 21 of the SPSS software, guides you through the entire research process.

IBM SPSS by Example

A Practical Guide to Statistical Data Analysis
Author: Alan C. Elliott,Wayne A. Woodward
Publisher: SAGE Publications
ISBN: 1483319040
Category: Social Science
Page: 368
View: 5354
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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.

Performing Data Analysis Using IBM SPSS


Author: Lawrence S. Meyers,Glenn C. Gamst,A. J. Guarino
Publisher: John Wiley & Sons
ISBN: 1118363574
Category: Mathematics
Page: 736
View: 3071
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Features easy-to-follow insight and clear guidelines to performdata analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquelyaddresses the presented statistical procedures with an exampleproblem, detailed analysis, and the related data sets. Data entryprocedures, variable naming, and step-by-step instructions for allanalyses are provided in addition to IBM SPSS point-and-clickmethods, including details on how to view and manipulateoutput. Designed as a user’s guide for students and otherinterested readers to perform statistical data analysis with IBMSPSS, this book addresses the needs, level of sophistication, andinterest in introductory statistical methodology on the part ofreaders in social and behavioral science, business, health-related,and education programs. Each chapter of Performing Data AnalysisUsing IBM SPSS covers a particular statistical procedure andoffers the following: an example problem or analysis goal, togetherwith a data set; IBM SPSS analysis with step-by-step analysis setupand accompanying screen shots; and IBM SPSS output with screenshots and narrative on how to read or interpret the results of theanalysis. 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 categoricalvariables 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 excellenttext for upper-undergraduate and graduate-level students in courseson social, behavioral, and health sciences as well as secondaryeducation, research design, and statistics. Also an excellentreference, the book is ideal for professionals and researchers inthe social, behavioral, and health sciences; applied statisticians;and practitioners working in industry.

Marketing Research with IBM® SPSS Statistics

A Practical Guide
Author: Karine Charry,Kristof Coussement,Nathalie Demoulin,Nico Heuvinck
Publisher: Routledge
ISBN: 1315525526
Category: Business & Economics
Page: 250
View: 5664
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Marketing researchers, companies and business schools need to be able to use statistical procedures correctly and accurately interpret the outputs, yet generally these people are scared off by the statistics behind the different analyses procedures, thus they often rely on external sources to come up with profound answers to the proposed research questions. In an accessible and step by step approach, the authors show readers which procedures to use in which particular situation and how to practically execute them using IBM® SPSS Statistics. IBM® is one of the largest statistical software providers world-wide and their IBM® SPSS Statistics software offers a very user-friendly environment. The program uses a simple drag-and-drop menu interface, which is also suitable for non-experienced programmers. It is widely employed in companies and many business schools also use this software package. This straightforward, pragmatic reference manual will help: professional marketers who use statistical procedures in in IBM® SPSS Statistics; undergraduate and postgraduate students where marketing research and research methodology are taught; all researchers analyzing survey-based data in a wide range of frontier domains like psychology, finance, accountancy, negotiation, communication, sociology, criminology, management, information systems, etc. IBM®'s next-generation business analytic solutions help organizations of all sizes make sense of information in the context of their business. You can uncover insights more quickly and easily from all types of data-even big data-and on multiple platforms and devices. And, with self-service and built-in expertise and intelligence, you have the freedom and confidence to make smarter decisions that better address your business imperatives.

Adventures in Social Research

Data Analysis Using IBM SPSS Statistics
Author: Earl R. Babbie,William E. Wagner, III,Fred S. Halley
Publisher: Pine Forge Press
ISBN: 1412982448
Category: Social Science
Page: 430
View: 7600
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Click on the Supplements tab above for further details on the different versions of SPSS programs.

IBM SPSS for Introductory Statistics

Use and Interpretation, Fifth Edition
Author: George A. Morgan,Nancy L. Leech,Gene W. Gloeckner,Karen C. Barrett
Publisher: Routledge
ISBN: 1136461809
Category: Psychology
Page: 256
View: 5830
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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.

Interpreting Quantitative Data with IBM SPSS Statistics


Author: Rachad Antonius
Publisher: SAGE
ISBN: 144627182X
Category: Social Science
Page: 376
View: 543
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The second edition of Interpreting Quantitative Data with IBM SPSS Statistics is an invaluable resource for students analysing quantitative data for the first time. The book clearly sets out a range of statistical techniques and their common applications, explaining their logic and links to the research process. It also shows how SPSS can be used as a tool to aid analysis. Key features of the second edition include: - new chapters on one-way and two-way ANOVA, the Chi-square test and linear regression. - SPSS lab sessions following each chapter which demonstrate how SPSS can be used in practice - sets of exercises and 'real-life' examples to aid teaching and learning - lists of key terms to aid revision and further reading to enhance students' understanding - an improved text design making the book easier to navigate - a companion website with answers to the labs and exercises, along with additional data sets and powerpoint slides

Quantitative and Statistical Research Methods

From Hypothesis to Results
Author: William E. Martin,Krista D. Bridgmon
Publisher: John Wiley & Sons
ISBN: 111823457X
Category: Social Science
Page: 496
View: 9442
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Quantitative and Statistical Research Methods This user-friendly textbook teaches students to understand andapply procedural steps in completing quantitative studies. Itexplains statistics while progressing through the steps of thehypothesis-testing process from hypothesis to results. The researchproblems used in the book reflect statistical applications relatedto interesting and important topics. In addition, the book providesa Research Analysis and Interpretation Guide to help studentsanalyze research articles. Designed as a hands-on resource, each chapter covers a singleresearch problem and offers directions for implementing theresearch method from start to finish. Readers will learn howto: Pinpoint research questions and hypotheses Identify, classify, and operationally define the studyvariables Choose appropriate research designs Conduct power analysis Select an appropriate statistic for the problem Use a data set Conduct data screening and analyses using SPSS Interpret the statistics Write the results related to the problem Quantitative and Statistical Research Methods allows students toimmediately, independently, and successfully apply quantitativemethods to their own research projects.

Data Analysis with IBM SPSS Statistics


Author: Kenneth Stehlik-Barry,Anthony J. Babinec
Publisher: Packt Publishing Ltd
ISBN: 1787280705
Category: Computers
Page: 446
View: 1915
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Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks Who This Book Is For This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods. What You Will Learn Install and set up SPSS to create a working environment for analytics Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data How to import different kinds of data and work with it Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data) Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations) Explore multivariate relationships Leverage the offerings to draw accurate insights from your research, and benefit your decision-making In Detail SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease. Style and approach Provides a practical orientation to understanding a set of data and examining the key relationships among the data elements. Shows useful visualizations to enhance understanding and interpretation. Outlines a roadmap that focuses the process so decision regarding how to proceed can be made easily.

Sarstedt/Schütz, IBM SPSS Syntax

Eine anwendungsorientierte Einführung
Author: Marko Sarstedt,Tobias Schütz
Publisher: Vahlen
ISBN: 3800643626
Category: Business & Economics
Page: 196
View: 1172
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Der souveräne Umgang mit der SPSS Syntax bietet einen unschätzbaren Vorteil für die tägliche Arbeit von Anwendern, die mit der Analyse von Daten zu tun haben. Das Buch ist eine integrierte Einführung in die Steuersprache von IBM SPSS Statistics für Studenten, Forscher und Praktiker. Es behandelt neben den notwendigen Grundlagen die Themengebiete Datenaufbereitung, Datentrans-formation und -modifikation. Weitere Themengebiete umfassen die Makro- und Matrixsprache, die in der 2. Auflage deutlich erweitert worden sind. Die Neuauflage wurde von Grund auf neu bearbeitet und um zahlreiche typische Anwendungsbeispiele ergänzt, die anhand realer Daten u.?a. des J.?D. Power and Associates Customer Satisfaction Index veranschaulicht werden. Die zugehörigen Datensätze sind als kostenloses Zusatzmaterial im Internet erhältlich.

Regression

Modelle, Methoden und Anwendungen
Author: Ludwig Fahrmeir,Thomas Kneib,Stefan Lang
Publisher: Springer-Verlag
ISBN: 3642018378
Category: Business & Economics
Page: 502
View: 4617
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In dem Band beschreiben die Autoren erstmals klassische Regressionsansätze und moderne nicht- und semiparametrische Methoden in einer integrierten und anwendungsorientierten Form. Um Lesern die Analyse eigener Fragestellungen zu ermöglichen, demonstrieren sie die praktische Anwendung der Konzepte und Methoden anhand ausführlicher Fallstudien. Geeignet für Studierende der Statistik sowie für Wissenschaftler und Praktiker, zum Beispiel in den Wirtschafts- und Sozialwissenschaften, der Bioinformatik und -statistik, Ökonometrie und Epidemiologie.

Statistik II für Dummies


Author: Deborah Rumsey
Publisher: John Wiley & Sons
ISBN: 352770843X
Category:
Page: 371
View: 9667
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Es gibt Qualen, verdammte Qualen und Statistik, so sehen es viele Studenten. Mit "Statistik II für Dummies" lernen Sie so leicht wie möglich. Deborah Rumsey zeigt Ihnen, wie Sie Varianzanalysen und Chi-Quadrat-Tests machen, wie Sie mit Regressionen arbeiten, ein Modell erstellen, Korrelationen bilden und vieles mehr. So lernen Sie die Methoden, die Sie brauchen, und erhalten das Handwerkszeug, erfolgreich Ihre Statistikprüfungen zu bestehen.

Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications 2e


Author: Kathrynn A. Adams,Eva K. Lawrence
Publisher: SAGE Publications
ISBN: 1544318650
Category: Psychology
Page: 376
View: 5399
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Do you want more practice with research methods and statistics outside of class? Then the Student Study Guide With IBM® SPSS® Workbook for Research Methods, Statistics, and Applications, Second Edition, is for you. Written by Kathrynn A. Adams and Eva K. Lawrence, this study guide accompanies the new second edition of Research Methods, Statistics, and Applications and provides instructions for performing statistical calculations in IBM® SPSS® along with additional exercises to reinforce concepts in the text. It follows the main text chapter by chapter to provide for easy assigning and studying. Step-by-step directions for IBM® SPSS® Data Analysis and Interpretation are included with practice exercises to facilitate competence in using the program as well as interpreting and writing up results. Answers to odd-numbered questions are provided so students can obtain quick feedback. The Your Research section helps readers develop their own research topics. Learning outcomes tied to relevant chapters in the text reinforce key concepts for review.