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Analysing Quantitative Data for Business and Management Students [Paperback]

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  • Category: Books (Business & Economics)
  • Author:  Scherbaum, Charles A, Shockley, Kristen M.
  • Author:  Scherbaum, Charles A, Shockley, Kristen M.
  • ISBN-10:  1446273539
  • ISBN-10:  1446273539
  • ISBN-13:  9781446273531
  • ISBN-13:  9781446273531
  • Publisher:  SAGE Publications Ltd
  • Publisher:  SAGE Publications Ltd
  • Pages:  184
  • Pages:  184
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Jun-2015
  • Pub Date:  01-Jun-2015
  • SKU:  1446273539-11-MPOD
  • SKU:  1446273539-11-MPOD
  • Item ID: 101522596
  • Seller: ShopSpell
  • Ships in: 2 business days
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  • Delivery by: Oct 12 to Oct 14
  • Notes: Brand New Item. Not shipped to AK, HI, APO, FPO, AE.
In Analysing Quantitative Data, Charles A. Scherbaum and Kristen M. Shockley guide the reader through Understanding Quantitative Data Analysis, Basic Components of Quantitative Data Analysis, Conducting Quantitative Data Analysis, Examples of Quantitative Data Analysis and Conclusions. An appendix contains Excel Formulas.

Ideal for Business and Management students reading for a Master’s degree, each book in the series may also serve as reference books for doctoral students and faculty members interested in the method.

Part of SAGE’s Mastering Business Research Methods Series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support researchers by providing in-depth and practical guidance on using a chosen method of data collection or analysis.

This is an in-depth yet practical guide for Masters students on basic quantitative methods of analysis, covering the foundations through to the analysis.

It is a fine book that is very helpful for graduated students from several areas (like those from Economics, Management or Business Relations). Their examples and the accurate criticism on bad practices are easily identified as strong points for recommending this handbook.This gives a clear and accessible approach to the analysis of quantitative [primary] data obtained by students in their research.

However, what I found disappointing - and why I will not be adopting this book - is the almost complete absence of anything on the use of company data such as financials, production or stock figures (apart from an early name check of 'Big Data') - in other words non experimental data. I continually find that students feel driven to finding things out by questionnaires (for example) which would be much better done by looking into the company rl³H
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