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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

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

Abstract

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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Contributors

  • 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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Cite as

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

References

Aebi, V., Sabato, G., & Schmid, M. (2012). Risk management, corporate governance, and bank performance in the financial crisis. Journal of Banking & Finance, 36(12), 3213-3226. https://doi.org/10.1016/j.jbankfin.2011.10.020

Bhimani, A., & Willcocks, L. (2014). Digitisation,'Big Data'and the transformation of accounting information. Accounting and Business Research, 44(4), 469-490. https://doi.org/10.1080/00014788.2014.910051

Brooks, C. (2014). Introductory Econometrics for Finance. Cambridge University Press.

Bughin, J., Chui, M., & Manyika, J. (2010). Clouds, big data, and smart assets: Ten tech-enabled business trends to watch. McKinsey Quarterly, 56(1), 75-86.

Chan, K., Wang, J., & Wei, K. J. (2004). Underpricing and long-term performance of IPOs in China. Journal of Corporate Finance, 10(3), 409-430. https://doi.org/10.1016/S0929-1199(03)00023-3

Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2013). Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences: Taylor & Francis.

Field, A. (2009). Discovering Statistics using SPSS (Vol. 3). London: SAGE Publications Ltd.

Hair, J. F. J., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis: A Global Perspective (7th ed.). USA: Pearson.

Hair, J. F. J., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). UK: Sage.

Hamilton, J. D. (1994). Time Series Analysis. Princeton: Princeton University Press.

Han, J., Kamber, M., & Pei, J. (2011). Data Mining: Concepts and Techniques. USA: Morgan Kaufmann.

Laney, D. (2012). The Importance of 'Big Data': A Definition. Gartner. Available at: https://www.gartner.com/doc/2057415/importance-big-data-definition

Ludvigson, S. C., & Ng, S. (2007). The empirical risk–return relation: a factor analysis approach. Journal of Financial Economics, 83(1), 171-222. https://doi.org/10.1016/j.jfineco.2005.12.002

Nair, R. and Narayanan, A. (2012). Getting Results From Big Data: A Capabilities-Driven Approach to the Strategic Use of Unstructured Information. Florham Park, N.J.: Strategy&. Available at: http://www.strategyand.pwc.com/media/file/Strategyand_Getting-results-from-big-data.pdf [Accessed 6 Nov. 2015].

Schumacker, R. E., & Lomax, R. G. (2004). A Beginner's Guide to Structural Equation Modeling. Psychology Press.

Singhvi, S. S., & Desai, H. B. (1971). An empirical analysis of the quality of corporate financial disclosure. Accounting Review, 46(1), 129-138.

Stevens, J. P. (2012). Applied Multivariate Statistics for the Social Sciences, 5th Edition: Taylor & Francis.

Tabachnick, B. G., & Fidell, L. S. (2012). Using Multivariate Statistics. Boston: Pearson Education.

Taheri, B., Jafari, A., & O'Gorman, K. (2014). Keeping your audience: Presenting a visitor engagement scale. Tourism Management, 42, 321-329. https://doi.org/10.1016/j.tourman.2013.12.011

Taylor, G., Tower, G., & Neilson, J. (2010). Corporate communication of financial risk. Accounting & Finance, 50(2), 417-446. https://doi.org/10.1111/j.1467-629X.2009.00326.x

Wisniewski, M. (2010). Quantitative Methods for Decision Makers, Essex: Pearson Education, Limited.

Wooldridge, J. (2012). Introductory Econometrics: A Modern Approach. Cengage Learning.

Zikopoulos, P., deRoos, D., Parasuraman, K., Deutsch, T., Giles, J., & Corrigan, D. (2012). Harness the Power of Big Data The IBM Big Data Platform: McGraw-Hill.

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