Spearman's Rank-Order Correlation: Analysis and Application Report

This report focuses on Spearman's rank-order correlation, a non-parametric statistical method used to assess the strength and direction of the relationship between two variables. The report details the application of Spearman's correlation, its use with ordinal and continuous data, and its ability to identify the direction of the relationship between variables. It also discusses the comparison of this test with other tests like Goodman and Kruskal's gamma and Kendall's tau-b. The report outlines the assumptions necessary for applying Spearman's correlation, which include two variables measured on an interval, ratio, or ordinal scale and the presence of a monotonic relationship. The report highlights the importance of Spearman's correlation in various fields. The report also includes a discussion on how to use SPSS statistics to analyze the data and the various advantages of using this statistical method. The report concludes with a brief overview of the references that support the findings and concepts discussed.

Spearman's
Rank-Order
Correlation

Spearman's Rank-Order Correlation is a non-parametric Measure and activity of the
strength and selection between two variables. It is great technique that can used to identified and
conclude the direction and strength of a relationship between two variables. It is also a
measurement of correlation between two different variables (Puth, Neuhäuser and Ruxton.,
2015). This is a effective test that is used continuous data or ordinal variables that identifies the
individual's product moment correlation. This test can assist by discovering the strength of a
different two data.
This spearman's correlation is a very effective approach to define the difference between
variables. It assists in to identify the best option and provides an effective basis to set any one
variable. This provides effective result to the researcher. If the individual will indulged in that
situation, where they are not able to identfy the best option, then they can adopt a spearman's
rank order correlation using SPSS statistics (Astivia and Zumbo., 2017). The various alternative
spearman's correlation's test are Goodman and Kruskal's gamma or Kendall's tau-b.
When opting the spearman's correlation in analyse the data, firstly we have to consider
that the data are actually analyzes using spearman's correlation. Without this, the generated
results may be diverse. In this test, the two assumption are taken by the analyzer. First is, two
variables measured on an interval, ratio and ordinal scale and second is, between the two
variables, there is monotonic relationship.
The spearman's correlation test is used to discover the more strength and direction
between two uncertainty situations (Gilmore, Barr and Dong., 2018). It also described the
negative and positive impacts of the specific variable.

REFERENCES
Puth, M.T., Neuhäuser, M. and Ruxton, G.D., 2015. Effective use of Spearman's and Kendall's
correlation coefficients for association between two measured traits. Animal Behaviour. 102.
pp.77-84.
Astivia, O.L.O. and Zumbo, B.D., 2017. Population models and simulation methods: the case of
the Spearman rank correlation. British Journal of Mathematical and Statistical
Psychology. 70(3). pp.347-367.
Gilmore, C.J., Barr, G. and Dong, W., 2018. Spearman's rank order coefficient.