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Types of Statistical Test

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  • About
  • Transcript
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About the lecture

In this lecture, we think about types of statistical test, focusing in particular on: (i) the t-test as a common test type for comparing differences between two groups, wherein the test converts scores to a t-value which can be compared to a critical value to assess whether the difference is significant; (ii) a Pearson’s correlation or a Spearman’s Rho as methods of testing the likelihood that two factors co-occur, the former assumes the link is linear, while the latter does not; (iii) the Chi Square test as a method of testing whether percentages or proportions of certain events are within the realm of random chance.

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 18). Drawing Conclusions on Quantitative Data - Types of Statistical Test [Video]. MASSOLIT. https://massolit.io/options/drawing-conclusions-on-quantitative-data?auth=0&lesson=5534&option=2978&type=lesson

MLA style

Bouguettaya, A. "Drawing Conclusions on Quantitative Data – Types of Statistical Test." MASSOLIT, uploaded by MASSOLIT, 18 Mar 2022, https://massolit.io/options/drawing-conclusions-on-quantitative-data?auth=0&lesson=5534&option=2978&type=lesson