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Intermediate Statistics
89% of respondents would recommend this to a friend
MKD 2624
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- James Stevens’ best-selling text, Intermediate Statistics, is written for those who use, rather than develop, statistical techniques. Dr. Stevens focuses on a conceptual understanding of the material rather than on proving the results. SAS and SPSS are an integral part of each chapter. Definitional formulas are used on small data sets to provide conceptual insight into what is being measured.The assumptions underlying each analysis are emphasized and the reader is shown how to test the critical assumptions using SPSS or SAS. Printouts with annotations from SAS or SPSS show how to process the data for each analysis. The annotations highlight what the numbers mean and how to interpret the results. Numerical, conceptual, and computer exercises enhance understanding. Answers are provided for half of the exercises.The book offers comprehensive coverage of one-way, power, and factorial analysis of variance, repeated measures analysis, simple and multiple regression, analysis of covariance, and HLM. Power analysis is an integral part of the book. A computer example of real data integrates many of the concepts. Highlights of the Third Edition include:A new chapter on hierarchical linear modeling using HLM6Downloadable resources containing all of the book’s data setsNew coverage of how to cross validate multiple regression results with SPSS and a new section on model selection (Chapter 6)More exercises in each chapter.Intended for intermediate statistics or statistics II courses taught in departments of psychology, education, business, and other social and behavioral sciences, a prerequisite of introductory statistics is required. An Instructor's Resource is available upon adoption. See www.researchmethodsarena.com .
| Publisher | Routledge |
| Publication date | July 6, 2007 |
| Edition | 3rd |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 0805854665 |
| ISBN-13 | 978-0805854664 |
| Item Weight | 1 pounds (450 grams) |
| Dimensions | 5.98 x 1.07 x 9.02 inches (15.2 x 2.7 x 22.9 cm) |
Who Should Buy?
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Graduate Students
Ideal for students pursuing advanced degrees in social sciences requiring a solid foundation in statistical methods and analyses.
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Data Analysts
Beneficial for professionals seeking to enhance their understanding of intermediate statistical techniques for data interpretation and modeling.
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Academics
Useful for educators looking for a comprehensive resource to teach intermediate statistics effectively to university students.
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Beginner Users
Not suitable for total novices lacking prior knowledge of basic statistics, as it covers more advanced topics.
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Biostatistics Editorial Review
Intermediate Statistics: A Modern Approach offers a deep dive into statistical analyses, providing sufficient detail for readers with a solid grounding in basic statistics and algebra. While many found it well-written and useful for advanced learners, especially doctoral students, others pointed out pitfalls such as typographical errors and unclear explanations. The book, published by Routledge and spanning 472 pages, may not cater well to beginners given its advanced nature and lack of reviews for foundational concepts. Nonetheless, it stands out for those ready to tackle intermediate statistics concepts with a robust mathematical background.
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Pros
- Thorough exploration of statistical analyses
- Suitable for advanced doctoral students
- Includes underlying mathematics with explanations
- Well-structured for readers with statistics background
- Valuable reference tables included
Cons
- Some typographical errors hinder readability
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