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Chapter 10 Approaches to Quantitative Data Analysis and Evaluation

DOI: 10.23912/978-1-910158-88-3-3220

ISBN: 978-1-910158-88-3

Published: September 2016

Component type: chapter

Published in: Research Methods for Accounting and Finance

Parent DOI: 10.23912/978-1-910158-88-3-3090



To understand data and present findings appropriately, researchers need awareness of statistical techniques. This chapter discusses the statistical tools used to analyse data collected. It focuses on two sets of the most widely used statistical tools, as shown in the ‘Deductive’ section in the data analysis area of the Methods Map (see Chapter 4): (1) exploring relationships and (2) comparing groups. In addition, we briefly explain ‘Big Data’.

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  • Stephen Rae, Heriot-Watt University (Author)
  • Ahmed Salhin, Heriot-Watt University (Author) http://orcid.org/0000-0002-0912-9949
  • Babak Taheri, Heriot-Watt University (Author)
  • Catherine Porter, Heriot-Watt University (Author)
  • Christian König, Heriot-Watt University (Author)
  • Nikolaos Valantasis-Kanellos, Heriot-Watt University (Author)

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Rae, Salhin, Taheri, Porter, König & Valantasis-Kanellos, 2016

Rae, S., Salhin, A., Taheri, B., Porter, C., König, C. & Valantasis-Kanellos, N. (2016) "Chapter 10 Approaches to Quantitative Data Analysis and Evaluation" In: Paterson, A., Leung, D., Jackson, W.(., MacIntosh, R. & O'Gorman, K.D. (ed) . Oxford: Goodfellow Publishers http://dx.doi.org/10.23912/978-1-910158-88-3-3220


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Published in Research Methods for Accounting and Finance

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