as above, surely undertake bivariate correlation analysis - Spearman, as above, seems as good as any. A good introduction to SPSS, which I recommend to my own students is Julie Pallant 'SPSS Survival Manual' - best to do the analysis yourself as you will get to know the data set and learn how to do statistical analysis for your future research.

salam

For your study, you can insert the data directly into the spss program , then use the pearson correlation between the two total degrees of  two Likert-scale and between the degrees of the dimensions.

Best regards.

Dear Laya,

Hello, 

As stated before by the other commentators, you can surely run Correlation Coefficient through Pearson in SPSS. In case you are not familiar to Correlation Coefficient Pearson, you may refer to the following video in which Correlation Coefficient Pearson is clearly discussed. Hope it helps you out in this regard. 

https://www.youtube.com/watch?v=VOI5IlHfZVE&t=1s 

Regards, 

as above, surely undertake bivariate correlation analysis - Spearman, as above, seems as good as any. A good introduction to SPSS, which I recommend to my own students is Julie Pallant 'SPSS Survival Manual' - best to do the analysis yourself as you will get to know the data set and learn how to do statistical analysis for your future research.

Hi Siagopal and Robert, 

Thank you for the answers. The data is ordinal and as you said Spearman's correlation can help. 

Robert, I used the book by Julie Pallant! It's perfect. Thanks for suggesting it to me.

Salam Tiab,

Hi Karwan,

Thanks for your answers. Another question might arise as the data is ordinal. Can I use Pearson correlation, too? 

no problem Laya - good luck.

Hi! You can use Pearson correlation

Hi Laya,

If we treat the scale as being of the ordinal type, the correlation often recommended is polychoric but, as Ekström demonstrates, it suffers from a lack of statistical robustness (Ekström, J. 2009, A generalized definition of the polychoric correlation coefficient in Contributions to the Theory of Measures of Association for Ordinal Variables. Ph.D. thesis, Uppsala: Acta Universitatis Upsaliensis.). Alternatively, Ekström argues that Spearman's ordinal correlation coefficient is a deterministic transformation of the empirical polynomial correlation coefficient (Ekström, J. 2011, On the Relation Between the Polychoric Correlation Coefficient and Spearman's Rank Correlation Coefficient. UC Los Angeles: Department of Statistics, UCLA. ). There is an important difference between the two correlations: the polychoric correlation is based on the idea that the underlying joint distribution is continuous; Spearman's ordinal correlation assumes that the same distribution is discrete. Ekström demonstrates that, in practical terms, the results approach even though the polychoric correlation produces more conservative results (produces lower absolute values).

Hi Angelo,

Thank you for the answer.

Hi John,

Thanks an ocean for your comprehensive answer! It was really useful. The data was in the form of scores and thus it was continuous data. I used Pearson correlation. It was related to the data analysis of an article which I was going to submit to a journal. Now, I have to wait and see whether the reviewers would have any comments on the statistical procedure I used.

Thank you again.