"SPSS 8.0 Guide to Data Analysis" written by Marija J. Norusis is a comprehensive and easy-to-follow book designed for individuals who want to analyze data using SPSS software. It offers clear explanations and step-by-step instructions on various statistical techniques and data analysis methods.
The author starts by introducing the basics of SPSS software, making it accessible to both beginners and experienced users. The book covers important topics like data entry, data manipulation, and variable creation, ensuring that readers have a solid understanding of the software and its capabilities.
What sets this book apart is the author's focus on understanding the concepts behind different statistical techniques. Norusis provides detailed explanations of the purpose and logic behind each analysis, empowering readers to make informed decisions about which technique is best suited for their research or project.
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Moreover, the book is packed with numerous examples and real-world case studies that allow readers to apply their knowledge in practical situations. These examples span various disciplines, making the book relevant to researchers from different fields. Norusis provides step-by-step instructions for each example, making it easy for readers to replicate the analysis on their own.
Overall, "SPSS 8.0 Guide to Data Analysis" is an invaluable resource for anyone working with SPSS software. The author's clear writing style, thorough explanations, and practical examples make it an essential reference for both beginners and experienced users. Whether you are a student, researcher, or professional, this book will greatly enhance your understanding and proficiency in data analysis using SPSS.
What are readers saying?
Readers have differing opinions about the book "SPSS 8.0 Guide to Data Analysis" by Marija J. Norusis. Some appreciate its thorough coverage of data analysis with SPSS, while others struggle with its outdated nature and complex explanations.
Many readers commend the book for its detailed explanations and practical examples. They find the step-by-step instructions particularly helpful, especially for those new to SPSS. The author's approach of guiding readers through the entire data analysis process, from data entry to statistical tests and interpretation, is praised. Moreover, the book is noted for its wide range of statistical techniques, making it a valuable resource for researchers in various fields.
However, some reviewers express frustration with the outdated content. Published in 1997, the book does not cater to those using newer versions of SPSS and fails to address changes in the software's interface. Furthermore, some readers feel that the absence of visual aids, such as graphs and illustrations, hampers their understanding of the concepts presented.
Additionally, certain readers find the book challenging to comprehend due to its technical language and complex explanations. The author assumes a certain level of prior knowledge which can be overwhelming for beginners. To enhance learning and comprehension, reviewers suggest incorporating simplified language and more examples.
In summary, the reception of "SPSS 8.0 Guide to Data Analysis" by Marija J. Norusis is mixed. While it is praised for its comprehensive coverage and detailed explanations, some readers find it outdated and difficult to follow. Updating the content to newer versions of SPSS, incorporating more visual aids, and simplifying the language could improve its overall value for readers.
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