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Intermediate Statistics
Item #: 58534189

Intermediate Statistics

Item #: 58534189

MKD 2624

MKD 9865

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What Stands Out

Comprehensive Coverage
This edition offers thorough explanations of key statistical concepts, ensuring students grasp both theory and practical applications essential for intermediate statistics mastery.
Modern Examples
Utilizes contemporary datasets and case studies, making complex statistical methods relatable and applicable to real-world scenarios, enhancing student engagement and understanding.
Interactive Learning
Incorporates hands-on exercises and online resources, promoting active learning and helping students to effectively apply statistical techniques beyond theoretical knowledge.

Product Details

Shop Intermediate Statistics online at a best price in North Macedonia. 0805854665
  • 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?

Suitable For
  • Graduate Students

    Ideal for students pursuing advanced degrees in social sciences requiring a solid foundation in statistical methods and analyses.

  • Data Analysts

    Beneficial for professionals seeking to enhance their understanding of intermediate statistical techniques for data interpretation and modeling.

  • Academics

    Useful for educators looking for a comprehensive resource to teach intermediate statistics effectively to university students.

Not Suitable For
  • 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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