Multivariate Statistics. VOLUME I. Dependent Techniques with SPSS in the Social Sciences
Keywords:
multivariate statistics, dependent techniques, spss, social sciencesSynopsis
Multivariate analysis is present in various software applications, thereby increasing its usability across different disciplines such as Administrative Sciences. Some of the most widely used software in both academic and professional fields worldwide include the Statistical Package for the Social Sciences (SPSS, by IBM), Analytics, Business Intelligence and Data Management (SAS, by SAS Institute and/or World Programming), Statistica (by STATISTICA), and the R language (open-source software). Given this, it is not surprising that Administrative Sciences support academic development through various postgraduate programs and in the professional world related to Social Sciences. Consequently, there is a growing trend in the publication of reports, articles, book chapters, or books discussing various theoretical and empirical aspects and their interpretation based on these software applications. In our case, we adopt IBM SPSS 20 for the development of the topics in this book.
Based on the above, we present this work with a triple purpose:
- To present a document that serves both those familiar and unfamiliar with the topic, who need to understand both the concepts addressed in this volume and how to manipulate the various commands offered by IBM SPSS 20 regarding the example problem cases presented.
- For a better understanding of case treatments, we follow the sequence proposed by Hair et al. (1999) of the six steps: objectives, design, assumptions, execution, interpretation, and validation, as the axis for presenting and resolving these cases.
- As the Coordinator of the Doctorate in Administrative Sciences at the University Center for Economic and Administrative Sciences (CUCEA) of the University of Guadalajara (UdG), to present the foundational book for the Quantitative Methods I and II courses.
The author hopes to contribute to the reader's acquisition of knowledge that can be applied in the practical world and aid in its theoretical interpretation. If this is not the case, it is hoped that at least it will serve as another useful step in achieving their academic and/or professional development.
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