Introductory statistics using SPSS / Herschel Knapp University of Southern California.
By: Knapp, Herschel [author.].
Thousand Oaks, California, USA : SAGE Publications, Inc., ©2017Edition: Second edition.Description: xxv, 286 pages : 24 cm. illustrations.Content type: text. ISBN: 9781506341002 (pbk. : alk. paper).Subject(s): SPSS for Windows | Social sciences -- Statistical methods -- Computer programsDDC classification: 005.55/K72 Other classification: CASItem type | Current location | Call number | Status | Date due | Barcode |
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Books | College Library General Reference Section | CAS 005.55/K72 (Browse shelf) | Available | 83923 |
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CAS 001.422/B28 Statistics without mathematics / | CAS 001.422/G78 Statistics for behavioral sciences / | CAS 004/F57 English for ICT studies in higher education studies / | CAS 005.55/K72 Introductory statistics using SPSS / | CAS 005.55 M18 An introduction to secondary data analysis with IBM SPSS statistics / | CAS 005.82/V44 Group theoretic cryptography / | CAS 006.454/B38 Speech recognition : |
Includes index.
Part I: Statistical Principles -- Research Principles -- Sampling -- Working in SPSS -- Part II: Statistical Processes -- Descriptive Statistics -- t Test and Mann-Whitney U Test -- ANOVA and Kruskal-Wallis Test -- Paired t Test and Wilcoxon Test -- Correlation and Regression: Pearson and Spearman -- Chi-Square -- Part III: Data Handling -- Supplemental SPSS Operations.
Each chapter is structured to answer questions that students most want answered: What statistical test should I use for this situation? How do I set up the data? How do I run the test? How do I interpret and document the results? Using examples, screenshots, and intuitive illustrations, students "get the story" from their data and learn by doing, completing practice exercises at the end of each chapter using prepared downloadable datasets. New to this edition: Test) have been added to Chapters 5 - 9 to facilitate more versatile analyses. New illustrations help to clarify abstract concepts, such as Treatment/Control groups and various forms of probability and non-probability sampling techniques. Pretest Checklist criteria for each statistical test are now presented in easy-to-read dialogue boxes to help ensure robust statistical processing. Multiple downloadable resources on an accompanying website include prepared SPSS data sets for all examples and exercises (eliminating data entry time and errors) and solutions to all odd-numbered exercises. A combined Pretest Checklist/Run Procedure video allows students to navigate directly to the section of interest to make video study more efficient.
In English.
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