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If we enter in Stata, “tab school_id treatment” we see 41 schools. Only school 11 has both treatment and control students (7 of each). School 5 has all 19 treatment students, and School 34 has all 5 treatment students.
If we enter in Stata “tab treatment, mi” we see 55.49% are in control (SCH_ID: treatment status = 0) and 44.51 are treatment (SCH_ID treatment status = 1)
If we enter in Stata “tab enumerator, mi” we see Govind has 45 observations (signifying number of tests administered), which is the highest number of tests; Natrapal has 4 observations, the lowest number of tests.
If we enter in Stata “tab enumerator treatment, mi” we see that Chetan, Natrapal, Om, and Uddhav have only tested treatment students, and Deepak_Meghwal and Sikandar have only tested control students. Of the enumerator options, only Natrapal and Om should be selected, plus at least one other. Govind tested 34 control and 11 treatement. Kailash tested 10 control and 6 treatment. Ramraj has tested 9 control and 17 treatment.
If we enter in Stata “tab child_female, mi” we see that there are 7 observations with no gender entry. One observation in which “Girl” is written instead of “0”. We do not know whether gender entries are reversed since we do not have any other variable signifying student gender (for example, name).
If we enter in Stata “table school_id, c(n treatment n hindi_level)” we see that there are more observations for treatment status than test score in schools 4, 8, 23, 25, 27, 32, 36, 39, 40, and 41. Of the options, that’s 23, 27, 36, and 40.
1. Schools were randomly assigned to treatment vs control. Which schools have both treatment and control students in the same school? And how many of each? (select all that apply)
2. Ideally, there is a balance of T&C students tested every day. Do we see balance in the number of treatment and control students tested by the third day?
3. Let’s look at enumerator outliers. _____ has administered more tests than everyone else, and _____ has administered fewer tests than everyone else.
4. Each enumerator should be testing equal numbers of treatment and control students. Which enumerators have only tested students from one group? (select all that apply)
5. What do we notice about the gender data? (select all that apply)
6. In which school(s) do we have missing test data (i.e. we have student observations, but there is no corresponding test data)? (select all that apply)
27 November 2024
18 November 2024
13 November 2024
11 November 2024
5 November 2024
25 October 2024
22 October 2024
21 October 2024
12 September 2022
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