Social Research Glossary

 

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Citation reference: Harvey, L., 2012-24, Social Research Glossary, Quality Research International, http://www.qualityresearchinternational.com/socialresearch/

This is a dynamic glossary and the author would welcome any e-mail suggestions for additions or amendments. Page updated 8 January, 2024 , © Lee Harvey 2012–2024.

 

 
   

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Linkage analysis


core definition

Linkage analysis combines different data sets to show the interconnectedness of variables


explanatory context

Elementary linkage analysis is a method of cluster analysis. Given a correlation matrix, elementary linkage analysis provides a quick method of seeing which tests cluster and how many such clusters there are. However, it lacks some statistical sophistication and is not as informative as factor analysis.

 

Linkage analysis, a statistical technique little used in social research has taken on new life with the development of genetics and is now defined asa statistical method that is used to identify positions of human disease genes relative to known genetic markers.

 

In other forms it has been used to explore the relationship between customer satisfaction and profitability.


analytical review

Colby (2012) :

Linkage analysis measures the impact of customer satisfaction on the bottom line. By linking satisfaction survey information with customer behavior, it is possible to validate the benefits of measuring and managing satisfaction. Linkage analysis also guides the allocation of resources.


associated issues

 


related areas

See also

cluster analysis

statistics


Sources

Colby, C., 2012, 'Is Customer Satisfaction Worth the Effort? How Linkage Analysis Validates the Impact on Your Bottom Line ', 7 December 2012, available at http://www.rockresearch.com/is-customer-satisfaction-worth-the-effort-how-linkage-analysis-validates-the-impact-on-your-bottom-line, accessed 25 January 2013, still available 9 June 2019.


copyright Lee Harvey 2012–2024



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