Note on Use of phi as a Simplified Partial Rank Correlation Coefficient

1966 ◽  
Vol 18 (3) ◽  
pp. 973-974 ◽  
Author(s):  
Richard W. Johnson
Keyword(s):  
Correlation Coefficient ◽  
Rank Correlation ◽  
Partial Rank Correlation

Use of phi as a simplified partial rank correlation coefficient is described and illustrated.

Socio-economic factors associated with unwanted births to married women: a geographical analysis using census indicators

1975 ◽  
Vol 7 (4) ◽  
pp. 463-472 ◽  
Author(s):  
Mary E. Brennan ◽  
R. Hebel
Keyword(s):  
Correlation Coefficient ◽  
Rank Correlation ◽  
Maternity Hospital ◽  
Married Women ◽  
Important Indicator ◽  
Factors Associated ◽  
Administrative Area ◽  
Socio Economic Variables ◽  
Partial Rank Correlation ◽  
Socio Economic Factors

SummaryThe proportion of unwanted births to married women who were delivered in a district maternity hospital during a 3-month period in 1971 was computed for each ward in the administrative area. The percentage varied from 5 to 20% with an average of 10%. These results were compared with the distributions of socio-economic variables derived from the 1971 Census. Party was shown to be the most important indicator; Kendall's rank correlation coefficient was 0·56 (P <0·01). When the effect of parity was eliminated by the use of Kendall’s partial rank correlation coefficient, overcrowding and family structure were shown to be statistically significant (P <0·05).

scholarly journals Stability and Global Sensitivity Analysis for an Agree-Disagree Model: Partial Rank Correlation Coefficient and Latin Hypercube Sampling Methods

2020 ◽  
Vol 2020 ◽  
pp. 1-14 ◽  
Author(s):  
Sara Bidah ◽  
Omar Zakary ◽  
Mostafa Rachik
Keyword(s):  
Sensitivity Analysis ◽  
Correlation Coefficient ◽  
Global Sensitivity Analysis ◽  
Equilibrium Points ◽  
Rank Correlation ◽  
Latin Hypercube Sampling ◽  
Latin Hypercube ◽  
Global Sensitivity ◽  
Existence And Stability ◽  
Partial Rank Correlation

In this paper, we present a new mathematical model that describes agree-disagree opinions during polls. We first present the model and its different compartments. Then, we use the next-generation matrix method to compute thresholds of equilibrium stability. We perform the stability analysis of equilibria to determine under which conditions these equilibrium points are stable or unstable. We show that the existence and stability of these equilibria are controlled by the calculated thresholds. Finally, we also perform several computational and statistical experiments to validate the theoretical results obtained in this work. To study the influence of various parameters on these thresholds and to identify the most influential parameters, a global sensitivity analysis is carried out based on the partial rank correlation coefficient method and the Latin hypercube sampling.

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