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average those groupings and the way up the framework. Likert scores for a survey_item are averaged. Then all the survey_items in a scale are averaged. Then student scales in a measure are averaged. And teacher scales in a measure are averaged. Then the average of those two calculations becomes the score for a measure. Then the measures in a subcategory are averaged.
34 lines
891 B
Ruby
34 lines
891 B
Ruby
class TeacherResponseRate
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include ResponseRate
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def rate
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cap_at_100(super)
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end
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private
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def cap_at_100(response_rate)
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response_rate > 100 ? 100 : response_rate
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end
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def survey_item_count
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@teacher_survey_item_count ||= @subcategory.measures.map { |measure| measure.teacher_survey_items.count }.sum
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end
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def response_count
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@teacher_response_count ||= @subcategory.measures.map do |measure|
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measure.teacher_survey_items.map do |survey_item|
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survey_item.survey_item_responses.where(school: @school, academic_year: @academic_year).count
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end.sum
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end.sum
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end
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def total_possible_responses
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@total_possible_teacher_responses ||= begin
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total_responses = Respondent.where(school: @school, academic_year: @academic_year).first
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return 0 unless total_responses.present?
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total_responses.total_teachers
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end
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end
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end
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