Quantitative Method-Breviary - SPSS

A problem-oriented reference for market researchers

Business & Finance, Marketing & Sales, Research
Cover of the book Quantitative Method-Breviary - SPSS by Jens K. Perret, Books on Demand
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Author: Jens K. Perret ISBN: 9783748186250
Publisher: Books on Demand Publication: November 5, 2018
Imprint: Language: English
Author: Jens K. Perret
ISBN: 9783748186250
Publisher: Books on Demand
Publication: November 5, 2018
Imprint:
Language: English

This breviary likewise addresses students as well as practitioners that are active in quantitative market research and applied statistics and data analysis in particular. It provides a pragmatic summary of all the most commonly implemented statistical methods and their implementation in the standard software package SPSS. Aside from an overview over the different methods, their practical use and support in interpreting the results the breviary provides a decision support sheet for finding the most suitable method to solve specific problems. It is completed by a set of video tutorials demonstrating the different methods in practical applications. The breviary supports practitioners in market research as a comprehensive reference book as well as students in their data analyses during term papers of theses.

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This breviary likewise addresses students as well as practitioners that are active in quantitative market research and applied statistics and data analysis in particular. It provides a pragmatic summary of all the most commonly implemented statistical methods and their implementation in the standard software package SPSS. Aside from an overview over the different methods, their practical use and support in interpreting the results the breviary provides a decision support sheet for finding the most suitable method to solve specific problems. It is completed by a set of video tutorials demonstrating the different methods in practical applications. The breviary supports practitioners in market research as a comprehensive reference book as well as students in their data analyses during term papers of theses.

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