Category: Correlation Test
Spearman Rank Correlation Analysis | Practical Test on the Relationship Between Education Level and Performance Level
In statistics, correlation tests are frequently used by researchers to examine associations. The purpose of conducting a correlation test is to determine the relationship between two observed variables. However, many people still ask me about one specific correlation test for variables measured on an ordinal scale.
How to Analyze Correlation between Ratio and Ordinal Scale Variables (Different Measurement Scales)
In correlation analysis, we often use Pearson correlation to test the relationship between variables measured on a ratio/interval scale. Variables measured on a ratio/interval scale have a greater potential to meet the normality assumption for data testing.
How to Analyze Correlation of Variables Measured Using Likert Scale
Correlation analysis is the chosen method when conducting research to understand the relationship between variables. Correlation analysis in statistics can take the form of partial correlation analysis and multiple correlation analysis.
How to Interpret the Output of Correlation Analysis | Hypothesis Testing, Sign, Size, and Direction
Correlation analysis is an associative test commonly used by many researchers to understand the relationship between variables. Before discussing how to interpret the results of correlation analysis, it is essential to understand the basic theory of correlation analysis.
How to Analyze Pearson Correlation Using Excel
Correlation analysis is one of the analytical techniques used to test the associative relationship between variables. In correlation analysis, testing can be conducted to answer whether the relationship between variables is significant and how strong and the sign of the relationship between the variables.
Correlation Analysis for Variables Measured with a Likert Scale (Ordinal Scale)
Many researchers choose to use correlation analysis to know the relationship between variables. The simpler analysis technique causes correlation analysis to be widely used by researchers.
Correlation Test for Ratio Scale Variables
Correlation analysis is an associative test to determine the relationship between variables. Correlation tests for parametric variables and non-parametric variables are different. Therefore you need to understand how to choose a correlation test according to statistical rules.
The Fundamental Differences of Pearson Correlation, Spearman Rank, Kendall tau, and Chi-Square
The associative correlation test between variables is currently the most frequently chosen by researchers, lecturers, and students to answer research hypotheses. There are several choices of correlation tests that can be chosen, but the selection of correlation tests must follow statistical rules.