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Preparing to Present Data

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About the lecture

In this lecture, we think about how data is represented, focusing in particular on: (i) three examples of graphs with questionable interpretations, which have been used in real news outlets; (ii) the misleading potential that truncating graph axes can have on interpretation of a dataset; (iii) the importance of establishing what you want to inform your audience of, before deciding on a method of data presentation.

About the lecturer

Dr Ayoub Bouguettaya is a lecturer in the School of Psychology at the University of Birmingham. Dr Bouguettaya’s research interests are in social psychology and how knowledge from that field can be applied to others, particularly health, including how we can apply social identity theory to societal problems, as well as investigating the different perspectives one might take on those issues. Some of Dr Bouguettaya’s recent publications include 'The relationship between gambling advertising and gambling attitudes, intentions and behaviours: a critical and meta-analytic review' (2020) and 'The Effect of a Food Addiction Explanation Model for Weight Control and Obesity on Weight Stigma' (2020).

Cite this Lecture

APA style

Bouguettaya, A. (2022, March 15). Data Analysis - Preparing to Present Data [Video]. MASSOLIT. https://massolit.io/options/data-analysis?auth=0&lesson=5404&option=13575&type=lesson

MLA style

Bouguettaya, A. "Data Analysis – Preparing to Present Data." MASSOLIT, uploaded by MASSOLIT, 15 Mar 2022, https://massolit.io/options/data-analysis?auth=0&lesson=5404&option=13575&type=lesson