What is the best statistical analysis can be used to measure the relationship between dependent and independent variables?

What statistical analysis to use is depending on your hypothesis developed.  Pearson correlation matrix is measuring correlationships among all the interval / ratio variables individually.  Typically we don't coin hypotheses to test them with Pearson correlationships as most of the individual variable-to-variable relationships are significant & some variable-to-variable relationships / hypotheses might not make sense based on literature reviewed.

If you have numerous independent variables & 1 dependent variable, you can use multiple regression analysis.  If you have more than 1 dependent variable, you can consider multivariate analyses like Structural Equation Modeling (SEM).  Wishing you all the best.

How many independent variables (IV) and how many dependent (DV). The statistics should be decided in advance. Pearson without SEM is too simple. 

What is the best statistical analysis can be used to measure the relationship between dependent and independent variables?

What statistical analysis to use is depending on your hypothesis developed.  Pearson correlation matrix is measuring correlationships among all the interval / ratio variables individually.  Typically we don't coin hypotheses to test them with Pearson correlationships as most of the individual variable-to-variable relationships are significant & some variable-to-variable relationships / hypotheses might not make sense based on literature reviewed.

If you have numerous independent variables & 1 dependent variable, you can use multiple regression analysis.  If you have more than 1 dependent variable, you can consider multivariate analyses like Structural Equation Modeling (SEM).  Wishing you all the best.

I agreed with Han Ping Fung Suggestion

good luck

In your case ,regression or SEM would be appropriate

Dear Dr Béatrice

Two questionnaires will be used in this study: the Multi-Factor Leadership Questionnaire (MLQ) 5X short and a Patient Satisfaction with Nursing Care Quality Questionnaire (PSNCQQ).

Leadership styles as independent variables with job satisfaction, extra effort, leader effectiveness and the quality of nursing services as dependent variables.

Thanks in Advance

Dear Dr. Han Ping Fung, Dr. Salam Jassim Hmood, and Dr. Muhammad Farrukh

Thanks for your answers

Best Regards

I agree with the answers from Han Ping Fung

Now you have made the case more clear, in this case using SEM will be appropriate

I do agree with Muhammad Farrukh, SEM will be appropriate for this study 

Best Wishes 

Dear Aladeen

The correlation coefficient is suitable for the relationship between two independent variables, in your case, regression coefficient will be suitable between independent and dependent variables, but the type of regression depends on the type and the distribution of the variables, besides the hypothesis of your experiment.

Good Luck