An Introductory Guide to SPSS? for Windows? PDF Download
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Author: Eric L. Einspruch
Publisher: SAGE
ISBN: 9781412904155
Category : Computers
Languages : en
Pages : 160
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Book Description
'An Introductory Guide to SPSS for Windows' develops SPSS skills through the use of sample programs that illustrate how to conduct the analyses typically found in an introductory statistics course.
Author: Eric L. Einspruch
Publisher: SAGE
ISBN: 9781412904155
Category : Computers
Languages : en
Pages : 160
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Book Description
'An Introductory Guide to SPSS for Windows' develops SPSS skills through the use of sample programs that illustrate how to conduct the analyses typically found in an introductory statistics course.
Author: Jeremy J Foster
Publisher: SAGE
ISBN: 9780761960164
Category : Computers
Languages : en
Pages : 244
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Book Description
This text is designed to teach beginners how to use SPSS for Windows. The author explains the basics of SPSS, including: the input of data; data manipulation; descriptive analyses; and inferential techniques. T-tests, analysis of variance, and factor analysis are also covered.
Author: Brian C. Cronk
Publisher: Routledge
ISBN: 1351390007
Category : Psychology
Languages : en
Pages : 322
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Book Description
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
Author: Darren George
Publisher: Routledge
ISBN: 1000486850
Category : Education
Languages : en
Pages : 418
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Book Description
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.
Author: Neil Frude
Publisher:
ISBN:
Category :
Languages : en
Pages : 279
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Book Description
Author: N. FRUDE
Publisher: Springer
ISBN: 1475789858
Category : Mathematics
Languages : en
Pages : 293
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Book Description
SPSS (The Statistical Package for the Social Sciences) is a computer program which enables data from surveys and experiments to be analyzed fully and flexibly. It has facilities for the extensive manipulation and transformation of data, and includes a wide range of procedures for both simple and highly complex statistical analysis. It also provides the opportu nity for the researcher to produce fully labelled tables and graphs which can be easily incorporated into a final project report. Over the 20 years since it was first devised, the versatile SPSS system has become an indispensable tool for many workers in social science research (including psychology, sociology, politics, human geography, business management, etc.) and in business and government. Many of the largest and most important surveys in the past two decades have been analyzed using one or other version of the system. SPSS is regularly used by government agencies, and by many major industrial corporations, market research companies and opinion poll organizations. For many years SPSS could be run only on large (mainframe) computers of the kind found in the specialist computer installations within universities and large corporations. Advances in the speed, power and memory of microcomputers, however, have recently made it possible to produce a powerful version of SPSS for use on the desk-top machines of the IBM PC (personal computer) family.
Author: Julie Pallant
Publisher:
ISBN: 9781952533631
Category : PASW (Computer file)
Languages : en
Pages : 345
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Book Description
'The PASW and SPSS Survival Manual' throws a lifeline to students and researchers grappling with this data analysis software. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques.
Author: Darren George
Publisher: Routledge
ISBN: 0429616325
Category : Education
Languages : en
Pages : 403
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Book Description
IBM SPSS Statistics 26 Step by Step: A Simple Guide and Reference, sixteenth 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 multi-dimensional 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. Back matter includes a description of data files used in exercises, an exhaustive glossary, suggestions for further reading and a comprehensive index. IMB SPSS Statistics 26 Step by Step is distributed in 85 countries, has been an academic best seller through most of the earlier editions, and has proved 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 26 How to handle missing data has been revised and expanded and now includes a detailed explanation of how to create regression equations to replace missing data More explicit coverage of how to report APA style statistics; this primarily shows up in the Output sections of Chapters 6 through 16, though changes have been made throughout the text.
Author: David Kremelberg
Publisher: SAGE Publications
ISBN: 150631791X
Category : Social Science
Languages : en
Pages : 529
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Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Author: Peter James Kpolovie
Publisher:
ISBN:
Category :
Languages : en
Pages : 828
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Book Description
IBM SPSS Statistics Excellent Guide is an excellent illustrative point-by-point easy to use guide that guarantees everyone the revolutionary skills of data analysis with SPSS Statistics. What if you can personally analyze different sorts of research data accurately without a hand-held calculator? Yes, you can. Each user of the book can with all accuracy, perform data analysis expertly and lucidly interpret the output, even if it is his first day of utilizing SPSS. IBM SPSS Statistics is renowned as a most powerful and widely used software for data analysis in the social and behavioral sciences, particularly, and in other several different fields of endeavor. Currently, practical analytic skills with statistical software as demonstrated in this book are necessarily required to be a researcher or scientist. Peter James Kpolovie has provided a superb guide that thoroughly presents SPSS dialog boxes selection method and SPSS syntax method for myriads of introductory and advanced statistical techniques, including: Descriptive statistics Comparison of means with t Test techniques and Analysis of Variance models General Linear Models Univariate, Repeated measures and Mixed analysis Analysis of Covariance To accurately analyze large complex dataset collected for a given research, has consistently remained a major challenge to the investigator even before the actual problem that he has set out to investigate. Kpolovie has superbly eliminated such challenge as every user can with most exceptional ease, follow the complete procedural steps, famously illustrated in the book, to personally analyze various sorts of data impeccably. Buy a copy now and acquire mastery of the new skills.
