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How to carry out JASP statistical analysis, I believe that many inexperienced people do not know what to do. Therefore, this paper summarizes the causes and solutions of the problem. Through this article, I hope you can solve this problem.

Objective: to analyze the correlation between the initial salary level and the current salary level. The two variables of initial salary and current salary are continuous data, if it satisfies the multivariate normal distribution, then the Pearson correlation coefficient can be used, and if it does not satisfy the multivariate normal distribution, the Spearman correlation coefficient can be used.

Normal distribution test

Check [Shapiro] in [Assumption Checks] to get the shapiro test result.

This is a surprise, JASP gives you the output of the multivariate normal distribution test, this advantage is obvious, because we are familiar with the SPSS software can not give this result, in SPSS, we usually for the sake of simplicity, is to give two continuous variables of the normal distribution test results, if the two meet the normal distribution, it is directly considered to meet the conditions of multivariate normal distribution, this is not a strict approach.

The results of the above table show that the initial salary and current salary do not satisfy the binary normal distribution (P < 0.001).

Therefore, it is not suitable to use Pearson correlation coefficient, and it is recommended to use Spearman correlation coefficient to measure the correlation between the two variables.

Spearman correlation

Spearman's r = 0.826, the correlation coefficient was statistically significant (p < 0.001). There was a positive and strong correlation between initial salary and current salary (r = 0.826).

For the significance test of the correlation coefficient, please read the following article. ↓

How to understand the significance test of correlation analysis?

Data visualization

There is a strong positive correlation between the two variables, so how should it be shown by statistical graphs? The answer is to make a scatter plot.

In the JASP related analysis menu, there is also a built-in parameter option for scatter chart, which can be checked to get the corresponding graph.

From the scatter plot, the distribution of points showed an oblique upward straight line, and the current salary of people with high initial salary was also higher, and there was a strong linear correlation between them (Spearman's r = 0.826, P < 0.001). After reading the above, have you mastered the method of JASP statistical analysis? If you want to learn more skills or want to know more about it, you are welcome to follow the industry information channel, thank you for reading!

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