Title: Multilevel analysis of women’s education in Ethiopia
Version: 1 Date: 01 Mar 2023
Reviewer's report:
1. There is a shortage of clarity and grammatical problem in the manuscript, for example, on
page one- and five-line numbers 16 and 108 there are phrases it says, "a two-stage stratified
cluster". The sampling technique used for this study is the two-stage sampling technique, which
is stratified in the first stage, and the cluster sampling technique in the second stage.  So, you
must be edited this.  Furthermore, on page 2 of line 30 of the manuscript there is also a phrase
that says "Unobserved enumeration area women’s education" which is not clear to understand.
 Even on page 5-line number 96 you are expecting to remove the word “questionnaires” because
it doesn’t give sense.  
2. Keyword terminologies must have the same beginning letters to maintain uniformity.
3. On page 5 from line number 96 up to 100, there is a paragraph which declared that “Each one
was among women aged 15-49 and each one among men aged 15-59, who were either permanent
residents of the chosen households or visitors who stayed the night before the survey could be
interviewed. EDHS was strengthened by the Central Statistical Agency (CSA) with the support
obtained from the Ministry of Health”. EDHS survey has different types of data among that
education data is one, therefore for education no need of specifying or limiting the age may be
for other type of data such as for reproduction it is compulsory to specify the age of mothers
or fathers.
4. Redundancy of statements has no value such as on page 5-line numbers of 103 up to 104
there is a statement of “The sampling frame for EDHS 2016 was the same as for EDHS 2007,
which was previously conducted by the Central Statistical Agency in 2007 (CSA, 2008)” the
first statement before comma is enough.
5. In a two-stage random sampling the first stage is stratified random sampling and in the second
stage equal probability systematic selection was applied to select the households in EDHS 2016
other than cluster sampling. By the way if cluster sampling is preferable from the selected
cluster no need of selecting sample because all elements of the cluster are considered as samples.
Therefore, you must look at the sampling techniques applied and carefully understand them.
6. When you select independent or factor variables, you must take care. For example, the
frequency of reading newspapers and magazines and the frequency of watching television are
not common for rural residents. However, when you do an analysis, you must take common
variables from both rural and urban residents unless you must analyse separately.
7. Since the variable age in marriage is a continuous variable, it is not worthy to put it in Table
2 without any numerical value.
8. According to the result of the study, there is variability between enumeration areas than in an
enumeration area with respect to women's education. From here assume that two enumeration
areas within one kebele are existed near to each other. Based on the result, can we say that
these EAS are different with respect to women's education? May be that women's education
differs from region to region, this can happen because of infrastructural difference, slight
policy differences and cultural differences, but within the region we cannot expect a significant
difference other than a slight difference. Therefore, the multilevel is better to go households
nested under regions rather than EAS.
9. Based on your result, the significance level is not only at 5% level of significance but is also
significant at 0.1% which means always significant but on the conclusion part of your manuscript
you restrict the significance level to 5% only. Make corrections on this as well.