Advanced and Multivariate Statistical Methods

Practical Application and Interpretation (Fourth Edition)

 

All the statistics traditionally covered in a second-level course are included.
Stresses the conceptual and practical aspects for students who do not need emphasis on the underlying mathematical theory.
Students learn not only the purpose of and how to compute the statistics using SPSS, they also learn the logic behind the techniques and how to test the underlying assumptions.
Students are shown how to interpret, present, and write up the results for each technique.
Exercises allow students to practice their newly acquired skills. The answer key will be provided with professors’ copies.
If your students are overwhelmed by advanced statistics texts that are too technical and mathematical, you should examine this highly applied approach to multivariate statistics. Covers why, what, when, and how. Ideal for nonmath majors.
The numerous screenshots and examples of output make it easy for students to follow the text.
Each statistical method is followed by an explanation of why a student might use that method, including a discussion of its purpose and sample research questions it can address.
The authors also show a sample study with an example of how to write up the results. Students see firsthand how to present their statistical findings.
Although SPSS is the program that is illustrated, students using any program will benefit greatly from the conceptual material.
 

A sample of professors' reactions:

"Outstanding! This resource is so practical and clear it is a gift to all researchers."
    — Sally Northam, Texas Women's College

"Mertler and Vannatta have done an outstanding job in presenting what is often seen as being difficult material in a form that my students have found to be straightforward and understandable. The book also provides a nice overview of univariate statistics, which makes the transition to multivariate smooth and seamless."
    — Richard C. Sprinthall, American International College

"This is the most practical multivariate book I've seen. It explains difficult concepts clearly and gives the beginning research student the ability to understand and run sophisticated techniques. A great book!"
    — Curt Dommeyu, California State University,
         Northridge

"I really like how SPSS is woven into every chapter, and the checklist at the end of each chapter that goes over all the steps in running a particular test is very useful. I wonder why no one thought of that before!"
    — Camilo Ortiz, Long Island University

"Great book! Easy to read, thorough, clear on statistical steps needed, good examples, and easy SPSS commands to follow."
    — Matthew S. Johnson, Texas Christian University

"This text is being adopted for my advanced statistics course. I found the text appealing because it is well written and presents material in an easily comprehensible manner. It seems to be a great resource for students needing to learn application over theory of statistical methods."
    — Joshua C. Watson, Mississippi State University,
        Meridian

“Wonderful, accessible text for undergraduate social science students.”
    — Jacqueline Reihman, State University of New York, Oswego

“What an awesome book! Filled with important theoretical concepts of each test in a very user-friendly manner with step-by-step practical guides, starting from sample research questions through meaningful interpretations, through writing up results. I love it…my students love it. The authors make hard concepts easy to understand, which is always very much appreciated by learners.”
    — Ratchneewan Ross, Kent State University

“Great book. Difficult material made easy to understand.”
    — Richard Sprinthall, American International College

“This is one of the best textbooks of this kind, which has a very practical approach to complex research methods. It [is] straightforward and explains the solution as clearly and simply as it possibly can.”
    — Charlie Song, University of West Florida, Pensacola

“This book is excellent! It is the clearest, most coherent, and succinct explanation of the steps that I have seen in six years of teaching methods.”
    — Adrian P. Hull, State University of New York, Cortland

 

Advanced statistics clearly explained without overemphasizing advanced math.

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