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Название: IBM SPSS Statistics 27 Step by Step: A Simple Guide and Reference, 17th Edition
Автор: Darren George, Paul Mallery
Издательство: Routledge
Год: 2022
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 16.6 MB
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. IBM SPSS Statistics Software (“SPSS”) is a powerful tool that is capable of conducting just about any type of data analysis used in the social sciences, the natural sciences, or in the business world. Mathematics is the language of science, and data analysis is the dialect of research. The present book is designed to make data analysis more comprehensible and less toxic.
Автор: Darren George, Paul Mallery
Издательство: Routledge
Год: 2022
Страниц: 419
Язык: английский
Формат: pdf (true)
Размер: 16.6 MB
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. IBM SPSS Statistics Software (“SPSS”) is a powerful tool that is capable of conducting just about any type of data analysis used in the social sciences, the natural sciences, or in the business world. Mathematics is the language of science, and data analysis is the dialect of research. The present book is designed to make data analysis more comprehensible and less toxic.