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Quantitative Data Analysis in Education: A Critical Introduction Using SPSS Paperback – 31 Jul 2007

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Product details

  • Paperback: 288 pages
  • Publisher: Routledge; New Ed edition (31 July 2007)
  • Language: English
  • ISBN-10: 0415372984
  • ISBN-13: 978-0415372985
  • Product Dimensions: 2.5 x 17.8 x 25.4 cm
  • Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Bestsellers Rank: 515,252 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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'Thank you! In his book Quantitative Data Analysis A critical introduction using SPSS, Professor Paul Connolly has produced a masterpiece for researchers who "Don’t do numbers", and have found themselves having amassed a desk full of quantitative data now needing analysis …Empathetic, incredulous, ingenious! ... I have no hesitation in recommending this book to students and researchers who need a working knowledge of using SPSS.' - ESCalate, Higher Education Academy

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2 of 2 people found the following review helpful By Aine-Maire Ni Cleirigh on 3 Feb. 2012
Format: Paperback
Step by step guide to ' we ' students who are not so into statistics. In fact quite humorous introductions to some chapters. Just as you are thinking, will I go on? the author gives advice to those who are brave enough to do so on the next page! He must be either a mind reader or he was in my position at some stage. A very well worth purchase. If I can understand it , so can YOU!
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Most Helpful Customer Reviews on (beta) 1 review
2 of 2 people found the following review helpful
Lifesaver 4 Dec. 2010
By jtv1103 - Published on
Format: Paperback Verified Purchase
This semester one of my graduate classes, Quantitative Methods, only required a textbook without a related workbook. Working in education, I searched for a book to guide me through the mechanics of SPSS to get through the course assignments. This book is well written and easy to follow, and it contributed more to my understanding of the material than my textbook. The focus is on the mechanics and interpreting the results versus lengthy mathematical equations. On line learning is challenging enough so this additional guidance was worthwhile for me.
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