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Thank you for the revised manuscript which will be accepted for publication in PeerJ.
Dear Authors, This manuscript is nearly ready to be accepted after you repair the minor statistical statements in your text as suggested by our statistical reviewer.
Authors have corrected accordingly:
A few minor corrections are needed as follows (but no need for further review):
Remove +/- as mentioned earlier
Correct for the last row: Mean age in Year (SD)
(Unit of the age or numerical variables cannot be missed in the table. Tables need to be stand-alone. Explanation in tables on acronyms or units need to be completed by itself in the tables so that readers do not need to refer to text)
In both text (in Results) and Table 2 (Second column), please called it "absolute agreement" instead of "agreement" (so that it is a specific term to differentiate from Kappa (because kappa is also a kind of agreement).
Please remove "-" between two numbers (but it is OK to have "-" between two words). It is not a good practice as a dash between two numbers or infront of a number could be mistaken with a negative or minus sign. PLEASE CORRECT IN THE WHOLE MANUSCRIPT. An example is given below:
"The test-retest study showed substantial agreement between test and retest in the headache, migraine and MOH domains (agreement = 76.9-96.2% and kappa = 0.65-0.78). The sections of the questionnaire referring to time, indicated almost perfect agreement. ICC 0.85 (95%CI: 0.67-0.93)"
Simply write as follows:
"The test-retest study showed substantial agreement between test and retest in the headache, migraine and MOH domains (agreement = 76.9 to 96.2% and kappa = 0.65 to 0.78). The sections of the questionnaire referring to time, indicated almost perfect agreement. ICC 0.85 (95%CI: 0.67, 0.93)"
* For 95% CI, we suppose to use "comma" between two values.
Dear Authors, There are major statistical issues raised by reviewer 3 that needs to be looked into seriously. Please place importance to this as it is an important component of the manuscript.
This paer is well written, clear and straight forward.
There is a typping error in line 61. Otherwise I have know comments
This is an important study in an area of translation and validation of the Child and Adolescent HARDSHIP (Headache-attributed restriction, disability, social handicap and impaired participation) questionnaire even though the diagnosis validation migraine, tension-type headache and medication overuse headache had not done.
I have some comments.
1. In the title, there would be better to add Danish language at end of the title.
2. If it is not policy of journal, I would like to suggest deleting the discussion part in abstract but add the conclusion in abstract.
3. Add citation for “The prevalence of headache in children and adolescents varies considerably. The prevalence of migraine is between 3% and 11% while the prevalence of tension headache ranges from 10% to 24% “in the second paragraph of the introduction section.
4, I) I would suggest to improve the presentation of data on table 1.
II) Is there any value after 10. in 6th row and fifth column of table no 1?. If not please make consistency with other values
Authors have used kappa statistics.
kappa statistics is appropriate for agreement for categorical outcome.
It was not clear in the manuscript that how categorical outcome were achieved.
E.g. from screening Q4-5 (if it 4 and 5, please write Q4&5), how the categories are derived? What categories? How many categories? It should be clear in the methods and also in the data presentation.
In Table 2, there should be n and % of each categories for test and retest (description statistics) then include kappa statistics. Agreement percent is necessary. Pearson correlation is also totally irrelevant if the authors are handling categorical variables. Pearson correlation is for correlation between two numerical variables.
In case of numerical variables, test-retest reliability must be analysed and presented with Intra-class correlation (instead of Pearson's correlation).
Table 1 should be simple description of study sample.
Why it is necessary to present two columns (for age two groups) for pilot and think aloud study but not for test-retest (combined age)? Any reason!!
If there is no reason, all should be combined like test-retest.
Readers would like to know counts and percentages (currently only the counts are presented)
3) Authors have submitted two set of questionnaires. One for age between 6 to 11 and one for 12 to 17. Please describe what the differences between two sets are. If they are different, the whole analyses should be two sets.
It cannot be combined as in Table 2.
Please do not leave a space between the number and % (percent sign).
e.g. it should be 22% rather than 22 %
Please remove +/- sign from everywhere as it doesn't mean for it.
10+/-2 means "8 and 12". If you do not mean for it, please do not use.
Finding of Line 236 to 241 should be presented in a table.
It is just a pilot study with a small sample size and therefore, validity of the results is reasonably low quality.
It is an interesting and useful study.
But at this stage, it was not sure that appropriate analyses were used (is it numerical or categorical outcome from the questionnaire) as the presentation is unclear.
kappa is for categorical outcome but how categorical outcome is achieved by this questionnaire, remains unclear.
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