Predictive Role of Sociodemographic and Health Factors on Psychological Resilience during the COVID-19 Pandemic: A Cross-Sectional Study in Turkey

Round 1

Reviewer 1 Report

I thank the authors for the interesting study. Some things the authors might look into:

“A key protective factor against psychological distress in adverse situations is the 33 ability to recover and adapt positively, known as resilience”.

I’d disagree with this definition. Recovery and resilience are two different things. Recovery means: having some mental health problems after such a stressor, but then recovering. Resilience means: developing no mental health issues due to a stressor.

For analysis: I personally have a problem with deleting data, because you are automatically creating a bias by doing so. Yes, there are guidelines on how to do it, but 1, if your data is large enough, these outliers really do not have that much effect, especially in studies where the number cannot be theoretically infinite (e.g. income, can go from 0 to… wherever). So I would have advised against it.

I cannot find the limitations for the study, except shortly in the conclusion. I would advise clearly indicating the limitations: no general representative sample, online recruiting, cross-sectional, et cetera.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

The article is general is sound and clear.

In the ethical statement, lines from 120 to 124 do not need to be included.

The descriptions of the brief resilience scale and the fear of covid scale are needed, include the items as they are very brief scales and the content of the scales is crucial to understand what is conceived as a measure of resilience and fear. Its is also welcome some more information about the checks for one-dimensionality for both scales.

In all the tables change the asterisk for the exact p values. The table, even if it’s aimed to save space, has to indicate specifically the statistical analysis and the corresponding degrees of freedom in either case (t-test/ F, df).

I don’t see the need to include the name of the R packages for common statistical analysis such as pearson, anova and t -test. This is only customary when using very specific analysis with a very specific package.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf