26 lines
1.3 KiB
Plaintext
26 lines
1.3 KiB
Plaintext
Prep work:
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- JK: aggregation of free-text answers: Q4, Q12/13-14, Q15-16, Q21, Q4 so that they can be used for subsetting (as above)
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Data summary/visualisation with subsetting:
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- RH: display simple summary of data (bar/pie chart) to Q25/26, Q3
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- RH: display summaries of responses to key questions for Q22 (syllabus evaluation), Q23, Q24, Q25, Q26, Q27, with subsetting by:
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- Q8 (school type)
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- Q9 (school size)
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- Q10 (school location)
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- Q1 (grade level) + Q35 (teaching role) + +Q5 (teaching proportion) Q2 (tenure) + and Q3 (subjects taught), + Q6/Q7 (management)
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- Q12-14 (school's official religion) / Q15-16 (school's informal religion)
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- Q21 (respondent personal religious background)
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- Q4 (teacher's degree subject)
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- Q18 (respondent gender)
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- Q19 (respondent ethnic self-desc)
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Correlation testing:
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- RH: test for correlation between "social issue" box ticked on Q20 and responses to Q22, Q23, Q27, Q25 (ANOVA)
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- RH: test for correlation between responses to religion questions: Q12-14, Q15-16 and Q21 and responses to Q22, Q23, Q25, Q27, Q30
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Great to get done if we have time:
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- JK: do geospatial visualisation of answers to Q11
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- JK: calculate IMD and census data for postcodes and re-embed in dataset
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- Pull in external data to get comparator baseline for Q21 (religion), Q8 (school type), Q18 |