Understanding the Importance of Spearman Rank Order Correlation Coefficient for Analyzing Relationships Between Ordinal Scale Variables

Which of the following is the recommended statistic when two variables have been measured using ordinal scales?A. Goodman and Kruskal’s lambdaB. Spearman rank order correlation coefficientC. Pearson correlation coefficientD. Non-parametric hypothesis coefficientE. Goodman and Kruskal’s gamma

Answer: B

When two variables have been measured using ordinal scales, the recommended statistic is the Spearman rank order correlation coefficient.

This coefficient is a non-parametric measure that assesses the strength and direction of the relationship between two variables that have been measured on an ordinal scale. This coefficient measures the degree of association between two variables by calculating the correlation between the ranks of the values of each variable. The Spearman rank order correlation coefficient ranges from -1 to +1, where +1 indicates a perfect positive correlation and -1 indicates a perfect negative correlation between the two variables.

Therefore, the correct answer is B. Spearman rank order correlation coefficient.

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