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Path analysis for people who hate statistics

Path analysis for people who hate statistics

McGovern, Pauline (2015) Path analysis for people who hate statistics. Radical Statistics, 112. pp. 15-22. ISSN 0268-6376

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Abstract

Path analysis is an advanced statistical method that enables sociologists to account for what happens in society by tracing the pathways through which causal processes lead to outcomes. It sounds complicated but is actually how we describe what happens a lot of the time! Path analysis is a great tool to use to analyse a lot of information at one time - for example, from surveys.

I use fun examples to explain path analysis in simple terms - and to shed light on the battle of Helm's Deep!

Item Type: Article
Additional Information: Radical statistics essay competition 2014 (2nd place)
Uncontrolled Keywords: theory, effects, path coefficient, goodness-of-fit,
Faculty / Department / Research Group: Faculty of Business > Department of International Business & Economics
Last Modified: 14 Oct 2016 09:36
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/14614

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