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More Data Working and Analyses

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Beginning to work on the analyses based on participants' answers to the religious affiliation questions, including cleaning of the data, removal of incomplete data sets (based on visual inspection), and creation of separate .csv files as I have done with previous analyses.

So far no significant differences between the answers to questions and formal religious affiliation of the school.
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rehughes07 2021-11-03 17:34:51 +00:00
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commit d98d1e7c78
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54
Connect Project R Markdown.Rmd
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@ -30,17 +30,18 @@ Data summary/visualisation with subsetting:
```{r Frequencies} ```{r Frequencies}
#Frequencies# #Frequencies#
Q25_frequencies = table(connect_data$Q25) Q25_frequencies <- table(connect_data$Q25)
Q25_frequencies Q25_frequencies
Q26_freq = table(connect_data$Q26) Q26_freq <- table(connect_data$Q26)
Q26_freq Q26_freq
Q3_freq = table(connect_data$Q3) Q3_freq <- table(connect_data$Q3)
Q3_freq Q3_freq
#test3 = as.factor(connect_data$Q3, levels = c(1, 2, 3, 4, 5), labels = c("Worldviews", "Religion", "Theology", "Ethics", "Philosophy")) #test3 = as.factor(connect_data$Q3, levels = c(1, 2, 3, 4, 5), labels = c("Worldviews", "Religion", "Theology", "Ethics", "Philosophy"))
``` ```
```{r Q25 bar/pie} ```{r Q25 bar/pie}
pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"))
pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"), col = coul3) pie(Q25_frequencies, labels = c("Maybe", "No", "Yes"), col = coul3)
``` ```
@ -84,7 +85,7 @@ Q3_data <- read.csv("./data/Q3.csv")
#table(Q3_data [,3:7]) #table(Q3_data [,3:7])
#pie(table(Q3_data [,3:7])) #pie(table(Q3_data [,3:7]))
Q3_data2 <- Q3_data[,3:7] Q3_data2 <- Q3_data[ ,3:7]
#head(Q3_data2) #head(Q3_data2)
#table(Q3_data2) #table(Q3_data2)
#table(Q3_data2[,1]) #table(Q3_data2[,1])
@ -240,3 +241,48 @@ summary(Q_27test)
#No significant difference in responses to Q27 based on what they considered important #No significant difference in responses to Q27 based on what they considered important
``` ```
- RH: test for correlation between responses to religion questions: Q12-14, Q15-16 and Q21 and responses to Q22, Q23, Q27, [Q24, Q25, Q30] - RH: test for correlation between responses to religion questions: Q12-14, Q15-16 and Q21 and responses to Q22, Q23, Q27, [Q24, Q25, Q30]
``` {r Analyses based on religious affiliation}
religion_affiliation_data <- read.csv("./data/Religious affiliation data.csv")
head(religion_affiliation_data)
## Q12-14, with Q22, Q23, Q27
# Q12 is binary, 1st test whether difference in answers based on whether the school has formal religious character or not (similar ANOVA/MANOVA as the questions above)
religion_affiliation_data$Q12 <- factor(religion_affiliation_data$Q12, levels = c("No", "Yes"), labels = c("No", "Yes"))
## Q22
formal_affiliation_test_Q22 <- t.test(Q22_average ~ Q12, data = religion_affiliation_data, paired = FALSE)
formal_affiliation_test_Q22
## Q23
formal_affiliation_test_Q23 <- manova(cbind(Q23_1, Q23_2) ~ Q12, data = religion_affiliation_data)
summary(formal_affiliation_test_Q23)
## Q27
formal_affiliation_test_Q27 <- manova(cbind(Q27_1, Q27_2, Q27_3, Q27_4, Q27_5, Q27_6, Q27_7) ~ Q12, data = religion_affiliation_data)
summary(formal_affiliation_test_Q27)
# Then, if there is (or can anyway), explore only the "Yes" data, and see if there is a difference in answers based on the specific religious character -- Q13
# first subset the data
Q13_data <- religion_affiliation_data[religion_affiliation_data$Q12 == "Yes", ]
head(Q13_data)
# then analyze based on specific one
Q13_data$Q13_recode <- factor(Q13_data$Q13_recode, levels = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10), labels = c("Church of England", "Roman Catholic", "Methodist", "Other Christian", "Jewish", "Muslim", "Sikh", "Hindu", "Multi-Faith", "None of the above"))
# Q22
hist(Q13_data$Q22_average)
specific_affiliation_test <- aov(Q22_average ~ Q13_recode, data = Q13_data)
summary(specific_affiliation_test)
# Q23
# Q27
## Q15-16 with Q22, Q23, Q27
# Q15 is binary; 1st test whether difference in answers based on whether the school has an informal religious character or not. Q16 provides further detail and can be explored
## Q21 with Q22, Q23, Q27
# Q21 is personal religious affiliation. This may be more tricky as it is a free answer...but can code the type of religious affiliation and test that way? -- would be chi-square or some sort of non-para analysis due to the small number of respondents who answered this
```

168
data/Q20_data.csv
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@ -1,86 +1,82 @@
Q20,Q20_recode,brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7 Ps,Q20,Q20_recode,brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7
"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,4,4,4,3,5,4,4,4,4,4,4,4 1,"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,4,4,4,3,5,4,4,4,4,4,4,4
"economy,immigration,crime,health,education,housing,welfare,defence,environment,family life,transport","2,3,4,5,6,7,8,9,10,13,14",2,1,1,1,1,1,1,1,1,1,2,2,1,1,4,3,3.5,2,5,4,5,5,3,4,4,4 2,"economy,immigration,crime,health,education,housing,welfare,defence,environment,family life,transport","2,3,4,5,6,7,8,9,10,13,14",2,1,1,1,1,1,1,1,1,1,2,2,1,1,4,3,3.5,2,5,4,5,5,3,4,4,4
"crime,health,housing,welfare,environment","4,5,7,8,10",2,2,2,1,1,2,1,1,2,1,2,2,2,2,3,3,3,3,4,4,4,4,4,4,4,4 3,"crime,health,housing,welfare,environment","4,5,7,8,10",2,2,2,1,1,2,1,1,2,1,2,2,2,2,3,3,3,3,4,4,4,4,4,4,4,4
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,2,3,4,5,4,3,2,3,2,2,2 4,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,2,3,4,5,4,3,2,3,2,2,2
"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,2,3,1,4,5,4,2,5,4,3,3 5,"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,2,3,1,4,5,4,2,5,4,3,3
"brexit,economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life","1,2,3,4,5,6,7,8,10,11,12,13",1,1,1,1,1,1,1,1,2,1,1,1,1,2,4,3,3.5,3,3,4,4,2,3,2,3,2 6,"brexit,economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life","1,2,3,4,5,6,7,8,10,11,12,13",1,1,1,1,1,1,1,1,2,1,1,1,1,2,4,3,3.5,3,3,4,4,2,3,2,3,2
"crime,housing,environment","4,7,10",2,2,2,1,2,2,1,2,2,1,2,2,2,2,5,5,5,4,5,4,4,4,4,4,4,4 7,"crime,housing,environment","4,7,10",2,2,2,1,2,2,1,2,2,1,2,2,2,2,5,5,5,4,5,4,4,4,4,4,4,4
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,5,1,5,5,5,5,5,5,5 8,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,5,1,5,5,5,5,5,5,5
"economy,crime,health,welfare,environment","2,4,5,8,10",2,1,2,1,1,2,2,1,2,1,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,4 9,"economy,crime,health,welfare,environment","2,4,5,8,10",2,1,2,1,1,2,2,1,2,1,2,2,2,2,5,5,5,5,5,5,5,5,5,5,5,4
"crime,health,education,housing,welfare,environment,family life","4,5,6,7,8,10,13",2,2,2,1,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,4,4,4,4 10,"crime,health,education,housing,welfare,environment,family life","4,5,6,7,8,10,13",2,2,2,1,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,4,4,4,4
"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,2,4,5,4,2,3,2,3,2 11,"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,2,4,5,4,2,3,2,3,2
"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,2,2,2,4,4,3,4,2,4,4,4,3 12,"health,education,environment","5,6,10",2,2,2,2,1,1,2,2,2,1,2,2,2,2,2,2,2,4,4,3,4,2,4,4,4,3
"immigration,crime,health,housing,welfare,family life","3,4,5,7,8,13",2,2,1,1,1,2,1,1,2,2,2,2,1,2,4,4,4,3,4,4,4,4,4,4,5,4 13,"immigration,crime,health,housing,welfare,family life","3,4,5,7,8,13",2,2,1,1,1,2,1,1,2,2,2,2,1,2,4,4,4,3,4,4,4,4,4,4,5,4
"economy,immigration,health,education,housing,environment,pensions","2,3,5,6,7,10,12",2,1,1,2,1,1,1,2,2,1,2,1,2,2,3,3,3,2,4,3,3,3,4,4,4,5 14,"economy,immigration,health,education,housing,environment,pensions","2,3,5,6,7,10,12",2,1,1,2,1,1,1,2,2,1,2,1,2,2,3,3,3,2,4,3,3,3,4,4,4,5
"brexit,economy,immigration,crime,health,education,housing,welfare,environment,family life","1,2,3,4,5,6,7,8,10,13",1,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,2,4,4,4,2,5,3,4,3 15,"brexit,economy,immigration,crime,health,education,housing,welfare,environment,family life","1,2,3,4,5,6,7,8,10,13",1,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,2,4,4,4,2,5,3,4,3
"immigration,crime,health,education,welfare,family life","3,4,5,6,8,13",2,2,1,1,1,1,2,1,2,2,2,2,1,2,4,2,3,2,3,4,4,3,2,3,3,3 16,"immigration,crime,health,education,welfare,family life","3,4,5,6,8,13",2,2,1,1,1,1,2,1,2,2,2,2,1,2,4,2,3,2,3,4,4,3,2,3,3,3
"health,education,housing,welfare,environment,pensions,family life,transport","5,6,7,8,10,12,13,14",2,2,2,2,1,1,1,1,2,1,2,1,1,1,5,5,5,2,5,5,5,2,5,5,5,2 17,"health,education,housing,welfare,environment,pensions,family life,transport","5,6,7,8,10,12,13,14",2,2,2,2,1,1,1,1,2,1,2,1,1,1,5,5,5,2,5,5,5,2,5,5,5,2
"economy,education,environment","2,6,10",2,1,2,2,2,1,2,2,2,1,2,2,2,2,4,4,4,2,4,4,4,4,3,4,4,4 18,"economy,education,environment","2,6,10",2,1,2,2,2,1,2,2,2,1,2,2,2,2,4,4,4,2,4,4,4,4,3,4,4,4
"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,4,2,3,2,3,2,2,2,1,2,3,1 19,"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,4,2,3,2,3,2,2,2,1,2,3,1
"brexit,economy,immigration,health,education,housing,welfare,environment","1,2,3,5,6,7,8,10",1,1,1,2,1,1,1,1,2,1,2,2,2,2,4,2,3,1,5,4,4,4,4,4,2,2 20,"brexit,economy,immigration,health,education,housing,welfare,environment","1,2,3,5,6,7,8,10",1,1,1,2,1,1,1,1,2,1,2,2,2,2,4,2,3,1,5,4,4,4,4,4,2,2
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,5,5,4,5,5,5,5 21,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,5,5,4,5,5,5,5
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,3,4,4,4,5,5,4,5 22,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,5,5,5,3,4,4,4,5,5,4,5
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,4,4,5,3,3,4,3,3 23,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,4,4,5,3,3,4,3,3
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,2,3,5,5,4,5,5,5,4 24,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,2,3,5,5,4,5,5,5,4
"economy,immigration,health,education,environment","2,3,5,6,10",2,1,1,2,1,1,2,2,2,1,2,2,2,2,5,4,4.5,2,3,5,5,4,4,5,5,4 25,"economy,immigration,health,education,environment","2,3,5,6,10",2,1,1,2,1,1,2,2,2,1,2,2,2,2,5,4,4.5,2,3,5,5,4,4,5,5,4
"economy,health,education,housing,environment,family life","2,5,6,7,10,13",2,1,2,2,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,5,5,5,5,5,5,5 26,"economy,health,education,housing,environment,family life","2,5,6,7,10,13",2,1,2,2,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,5,5,5,5,5,5,5
"immigration,crime,health,education,housing,environment,family life","3,4,5,6,7,10,13",2,2,1,1,1,1,1,2,2,1,2,2,1,2,4,2,3,2,5,5,5,4,2,4,2,2 27,"immigration,crime,health,education,housing,environment,family life","3,4,5,6,7,10,13",2,2,1,1,1,1,1,2,2,1,2,2,1,2,4,2,3,2,5,5,5,4,2,4,2,2
"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,4,4,2,4,4,4,2,4,4,4,3 28,"health,education,housing,welfare,environment,family life","5,6,7,8,10,13",2,2,2,2,1,1,1,1,2,1,2,2,1,2,4,4,4,2,4,4,4,2,4,4,4,3
"crime,health,education,welfare,environment,family life","4,5,6,8,10,13",2,2,2,1,1,1,2,1,2,1,2,2,1,2,4,2,3,2,1,5,5,2,4,4,4,4 29,"crime,health,education,welfare,environment,family life","4,5,6,8,10,13",2,2,2,1,1,1,2,1,2,1,2,2,1,2,4,2,3,2,1,5,5,2,4,4,4,4
"immigration,crime,health,education,welfare,environment,tax,transport","3,4,5,6,8,10,11,14",2,2,1,1,1,1,2,1,2,1,1,2,2,1,4,2,3,4,4,5,5,4,4,2,4,2 30,"immigration,crime,health,education,welfare,environment,tax,transport","3,4,5,6,8,10,11,14",2,2,1,1,1,1,2,1,2,1,1,2,2,1,4,2,3,4,4,5,5,4,4,2,4,2
"crime,health,education,housing,welfare,family life","4,5,6,7,8,13",2,2,2,1,1,1,1,1,2,2,2,2,1,2,4,4,4,2,2,4,4,4,1,2,2,2 31,"crime,health,education,housing,welfare,family life","4,5,6,7,8,13",2,2,2,1,1,1,1,1,2,2,2,2,1,2,4,4,4,2,2,4,4,4,1,2,2,2
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,3,3.5,3,4,4,5,3,4,5,5,3 32,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,4,3,3.5,3,4,4,5,3,4,5,5,3
"economy,immigration,crime,health,education,housing,welfare,environment,family life","2,3,4,5,6,7,8,10,13",2,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,4,5,5,5,5,4,4,4,4 33,"economy,immigration,crime,health,education,housing,welfare,environment,family life","2,3,4,5,6,7,8,10,13",2,1,1,1,1,1,1,1,2,1,2,2,1,2,5,4,4.5,4,5,5,5,5,4,4,4,4
"immigration,health,education,housing,welfare,environment","3,5,6,7,8,10",2,2,1,2,1,1,1,1,2,1,2,2,2,2,4,4,4,4,4,4,5,4,5,5,5,4 34,"immigration,health,education,housing,welfare,environment","3,5,6,7,8,10",2,2,1,2,1,1,1,1,2,1,2,2,2,2,4,4,4,4,4,4,5,4,5,5,5,4
"immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","3,4,5,6,7,8,9,10,11,12,13,14",2,2,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,2,3,4,4,3,5,4,4,4 35,"immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","3,4,5,6,7,8,9,10,11,12,13,14",2,2,1,1,1,1,1,1,1,1,1,1,1,1,4,4,4,2,3,4,4,3,5,4,4,4
"immigration,education,family life","3,6,13",2,2,1,2,2,1,2,2,2,2,2,2,1,2,4,3,3.5,4,3,4,2,4,1,2,2,2 36,"immigration,education,family life","3,6,13",2,2,1,2,2,1,2,2,2,2,2,2,1,2,4,3,3.5,4,3,4,2,4,1,2,2,2
"economy,immigration,health,education,environment,family life","2,3,5,6,10,13",2,1,1,2,1,1,2,2,2,1,2,2,1,2,4,3,3.5,4,5,5,5,2,4,4,5,2 37,"economy,immigration,health,education,environment,family life","2,3,5,6,10,13",2,1,1,2,1,1,2,2,2,1,2,2,1,2,4,3,3.5,4,5,5,5,2,4,4,5,2
"brexit,economy,immigration,crime,health,education,housing,environment,family life","1,2,3,4,5,6,7,10,13",1,1,1,1,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,3,3,4,4,4,4,4 38,"brexit,economy,immigration,crime,health,education,housing,environment,family life","1,2,3,4,5,6,7,10,13",1,1,1,1,1,1,1,2,2,1,2,2,1,2,5,5,5,4,4,3,3,4,4,4,4,4
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,5,4,2,3,4,3,2 39,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,3,3,3,3,3,5,4,2,3,4,3,2
"immigration,health,education,welfare,environment,tax","3,5,6,8,10,11",2,2,1,2,1,1,2,1,2,1,1,2,2,2,5,4,4.5,4,3,4,5,5,3,2,4,4 40,"immigration,health,education,welfare,environment,tax","3,5,6,8,10,11",2,2,1,2,1,1,2,1,2,1,1,2,2,2,5,4,4.5,4,3,4,5,5,3,2,4,4
"immigration,health,education,housing,environment,family life","3,5,6,7,10,13",2,2,1,2,1,1,1,2,2,1,2,2,1,2,4,4,4,4,5,5,5,4,4,5,5,4 41,"immigration,health,education,housing,environment,family life","3,5,6,7,10,13",2,2,1,2,1,1,1,2,2,1,2,2,1,2,4,4,4,4,5,5,5,4,4,5,5,4
"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,3,3,3,3,4,3,3,3,3,3,3,3 42,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,3,3,3,3,4,3,3,3,3,3,3,3
"economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","2,3,4,5,6,7,8,10,11,12,13,14",2,1,1,1,1,1,1,1,2,1,1,1,1,1,4,3,3.5,4,5,4,5,4,4,4,4,4 43,"economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","2,3,4,5,6,7,8,10,11,12,13,14",2,1,1,1,1,1,1,1,2,1,1,1,1,1,4,3,3.5,4,5,4,5,4,4,4,4,4
"health,education,housing,environment,family life","5,6,7,10,13",2,2,2,2,1,1,1,2,2,1,2,2,1,2,4,4,4,3,3,4,4,3,3,4,4,3 44,"health,education,housing,environment,family life","5,6,7,10,13",2,2,2,2,1,1,1,2,2,1,2,2,1,2,4,4,4,3,3,4,4,3,3,4,4,3
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,4,3,,,,,,, 45,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,5,4,3,,,,,,,
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,4,3,5,5,5,5,5,5,4 46,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,4,3,5,5,5,5,5,5,4
"immigration,crime,health,education,housing,welfare,environment,family life,transport","3,4,5,6,7,8,10,13,14",2,2,1,1,1,1,1,1,2,1,2,2,1,1,1,1,1,1,5,5,5,2,2,4,4,2 47,"immigration,crime,health,education,housing,welfare,environment,family life,transport","3,4,5,6,7,8,10,13,14",2,2,1,1,1,1,1,1,2,1,2,2,1,1,1,1,1,1,5,5,5,2,2,4,4,2
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,2,3,1,3,,,,,,, 50,"immigration,health,education,housing,welfare,environment,family life","3,5,6,7,8,10,13",2,2,1,2,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,3,4,3,3
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,4,,,,,,, 51,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,,,,,,,
"immigration,health,education,housing,welfare,environment,family life","3,5,6,7,8,10,13",2,2,1,2,1,1,1,1,2,1,2,2,1,2,4,4,4,3,5,4,4,4,3,4,3,3 52,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,3,5,5,5,5,5,5,5,5
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,,,,,,, 53,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,2,3,4,4,4,3,4,4,4
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,3,5,5,5,5,5,5,5,5 54,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2.5,3,5,5,4,4,3,4,3,3
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,2,3,4,4,4,3,4,4,4 55,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,2,4,4,3,4,4,4,4
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2.5,3,5,5,4,4,3,4,3,3 56,"economy,health,education,housing,environment","2,5,6,7,10",2,1,2,2,1,1,1,2,2,1,2,2,2,2,4,4,4,4,5,4,5,5,5,4,5,5
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,2,2,4,4,3,4,4,4,4 57,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,3,3,3,4,1,2,2,2
"economy,health,education,housing,environment","2,5,6,7,10",2,1,2,2,1,1,1,2,2,1,2,2,2,2,4,4,4,4,5,4,5,5,5,4,5,5 58,"crime,health,education,welfare,defence,environment,family life","4,5,6,8,9,10,13",2,2,2,1,1,1,2,1,1,1,2,2,1,2,5,4,4.5,5,5,5,5,4,4,5,4,4
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,3,3,3,4,1,2,2,2 59,"immigration,crime,health,education,housing,welfare,environment,tax,family life","3,4,5,6,7,8,10,11,13",2,2,1,1,1,1,1,1,2,1,1,2,1,2,4,2,3,1,5,5,5,4,5,5,5,5
"crime,health,education,welfare,defence,environment,family life","4,5,6,8,9,10,13",2,2,2,1,1,1,2,1,1,1,2,2,1,2,5,4,4.5,5,5,5,5,4,4,5,4,4 60,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,4,3,3.5,2,5,4,4,3,4,3,3,2
"immigration,crime,health,education,housing,welfare,environment,tax,family life","3,4,5,6,7,8,10,11,13",2,2,1,1,1,1,1,1,2,1,1,2,1,2,4,2,3,1,5,5,5,4,5,5,5,5 61,"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,1,2,1.5,1,5,5,5,5,5,5,5,4
"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,4,3,3.5,2,5,4,4,3,4,3,3,2 62,"crime,health,education,housing,welfare,pensions,family life","4,5,6,7,8,12,13",2,2,2,1,1,1,1,1,2,2,2,1,1,2,4,4,4,3,3,4,5,3,2,3,4,3
"health,education,welfare,environment,family life","5,6,8,10,13",2,2,2,2,1,1,2,1,2,1,2,2,1,2,1,2,1.5,1,5,5,5,5,5,5,5,4 63,"immigration,crime,health,education,welfare,environment,family life","3,4,5,6,8,10,13",2,2,1,1,1,1,2,1,2,1,2,2,1,2,5,4,4.5,2,2,5,4,4,4,2,5,2
"crime,health,education,housing,welfare,pensions,family life","4,5,6,7,8,12,13",2,2,2,1,1,1,1,1,2,2,2,1,1,2,4,4,4,3,3,4,5,3,2,3,4,3 64,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,5,4,4,2,4,4,4,2
"immigration,crime,health,education,welfare,environment,family life","3,4,5,6,8,10,13",2,2,1,1,1,1,2,1,2,1,2,2,1,2,5,4,4.5,2,2,5,4,4,4,2,5,2 65,"crime,health,education,environment,family life","4,5,6,10,13",2,2,2,1,1,1,2,2,2,1,2,2,1,2,4,4,4,4,3,4,4,4,4,4,4,3
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,2,3.5,2,5,4,4,2,4,4,4,2 66,"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,4,2,3,2,4,2,4,2,4,2,4,2
"crime,health,education,environment,family life","4,5,6,10,13",2,2,2,1,1,1,2,2,2,1,2,2,1,2,4,4,4,4,3,4,4,4,4,4,4,3 67,"health,education,housing,welfare,environment,tax","5,6,7,8,10,11",2,2,2,2,1,1,1,1,2,1,1,2,2,2,5,4,4.5,2,3,4,4,3,4,4,4,3
"immigration,crime,health,education,housing,welfare,environment,family life","3,4,5,6,7,8,10,13",2,2,1,1,1,1,1,1,2,1,2,2,1,2,4,2,3,2,4,2,4,2,4,2,4,2 68,housing,7,2,2,2,2,2,2,1,2,2,2,2,2,2,2,3,3,3,3,3,4,4,4,3,4,5,4
"health,education,housing,welfare,environment,tax","5,6,7,8,10,11",2,2,2,2,1,1,1,1,2,1,1,2,2,2,5,4,4.5,2,3,4,4,3,4,4,4,3 69,"crime,education,family life","4,6,13",2,2,2,1,2,1,2,2,2,2,2,2,1,2,4,2,3,2,3,4,3,3,4,4,4,2
housing,7,2,2,2,2,2,2,1,2,2,2,2,2,2,2,3,3,3,3,3,4,4,4,3,4,5,4 70,"economy,crime,health,education,housing,welfare,environment,family life,transport","2,4,5,6,7,8,10,13,14",2,1,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,5,3,3,3,1,3,3,3
"crime,education,family life","4,6,13",2,2,2,1,2,1,2,2,2,2,2,2,1,2,4,2,3,2,3,4,3,3,4,4,4,2 71,"economy,immigration,health,education,welfare,defence,tax,pensions,family life","2,3,5,6,8,9,11,12,13",2,1,1,2,1,1,2,1,1,2,1,1,1,2,2,2,2,1,4,3,2,2,4,3,4,2
"economy,crime,health,education,housing,welfare,environment,family life,transport","2,4,5,6,7,8,10,13,14",2,1,2,1,1,1,1,1,2,1,2,2,1,1,2,2,2,2,5,3,3,3,1,3,3,3 72,"immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","3,4,5,6,7,8,10,11,12,13,14",2,2,1,1,1,1,1,1,2,1,1,1,1,1,4,4,4,2,4,2,2,2,1,2,4,2
"economy,immigration,health,education,welfare,defence,tax,pensions,family life","2,3,5,6,8,9,11,12,13",2,1,1,2,1,1,2,1,1,2,1,1,1,2,2,2,2,1,4,3,2,2,4,3,4,2 73,"economy,crime,health,education,housing,welfare,environment,transport","2,4,5,6,7,8,10,14",2,1,2,1,1,1,1,1,2,1,2,2,2,1,3,3,3,2,4,4,4,2,2,4,4,2
"immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport","3,4,5,6,7,8,10,11,12,13,14",2,2,1,1,1,1,1,1,2,1,1,1,1,1,4,4,4,2,4,2,2,2,1,2,4,2 74,"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,4,4,4,3,4,4,4
"economy,crime,health,education,housing,welfare,environment,transport","2,4,5,6,7,8,10,14",2,1,2,1,1,1,1,1,2,1,2,2,2,1,3,3,3,2,4,4,4,2,2,4,4,2 75,"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,5,4,4.5,5,5,5,4,4,3,4,4,4
"brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport","1,2,3,4,5,6,7,8,9,10,11,12,13,14",1,1,1,1,1,1,1,1,1,1,1,1,1,1,5,4,4.5,4,3,4,4,4,3,4,4,4 76,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,2,5,4,4,4,4,4,4
"health,education,welfare,environment","5,6,8,10",2,2,2,2,1,1,2,1,2,1,2,2,2,2,5,4,4.5,5,5,5,4,4,3,4,4,4 77,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2.5,1,1,5,3,4,2,4,4,4
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,4,4,4,2,5,4,4,4,4,4,4 78,"health,education,housing,environment","5,6,7,10",2,2,2,2,1,1,1,2,2,1,2,2,2,2,2,2,2,2,4,3,2,2,1,2,2,1
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,2,2.5,1,1,5,3,4,2,4,4,4 79,"brexit,immigration,crime,health,education,housing,welfare,environment,family life","1,3,4,5,6,7,8,10,13",1,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,1,5,4,4,3,4,4,3,3
"health,education,housing,environment","5,6,7,10",2,2,2,2,1,1,1,2,2,1,2,2,2,2,2,2,2,2,4,3,2,2,1,2,2,1 80,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,4,3,4,3,2,3,3,4
"brexit,immigration,crime,health,education,housing,welfare,environment,family life","1,3,4,5,6,7,8,10,13",1,2,1,1,1,1,1,1,2,1,2,2,1,2,2,2,2,1,5,4,4,3,4,4,3,3 81,,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,5,5,4,4,4,4,4,4,4
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,4,3,4,3,2,3,3,4 82,"economy,health,education,environment,family life","2,5,6,10,13",2,1,2,2,1,1,2,2,2,1,2,2,1,2,4,4,4,5,5,5,5,5,4,4,5,5
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,5,4,4.5,5,5,4,4,4,4,4,4,4 84,"immigration,crime,health,environment","3,4,5,10",2,2,1,1,1,2,2,2,2,1,2,2,2,2,1,1,1,1,5,1,3,1,1,1,3,1
"economy,health,education,environment,family life","2,5,6,10,13",2,1,2,2,1,1,2,2,2,1,2,2,1,2,4,4,4,5,5,5,5,5,4,4,5,5
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1.5,1,3,,,,,,,
"immigration,crime,health,environment","3,4,5,10",2,2,1,1,1,2,2,2,2,1,2,2,2,2,1,1,1,1,5,1,3,1,1,1,3,1
,,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,3.5,3,3,,,,,,,
1 Ps Q20 Q20_recode brexit economy immigration crime health education housing welfare defence environment tax pensions family life transport Q22_1 Q22_2 Q22_average Q23_1 Q23_2 Q27_1 Q27_2 Q27_3 Q27_4 Q27_5 Q27_6 Q27_7
2 1 health,education,environment 5,6,10 2 2 2 2 1 1 2 2 2 1 2 2 2 2 4 4 4 3 5 4 4 4 4 4 4 4
3 2 economy,immigration,crime,health,education,housing,welfare,defence,environment,family life,transport 2,3,4,5,6,7,8,9,10,13,14 2 1 1 1 1 1 1 1 1 1 2 2 1 1 4 3 3.5 2 5 4 5 5 3 4 4 4
4 3 crime,health,housing,welfare,environment 4,5,7,8,10 2 2 2 1 1 2 1 1 2 1 2 2 2 2 3 3 3 3 4 4 4 4 4 4 4 4
5 4 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 2 3 4 5 4 3 2 3 2 2 2
6 5 health,education,housing,welfare,environment,family life 5,6,7,8,10,13 2 2 2 2 1 1 1 1 2 1 2 2 1 2 4 2 3 1 4 5 4 2 5 4 3 3
7 6 brexit,economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life 1,2,3,4,5,6,7,8,10,11,12,13 1 1 1 1 1 1 1 1 2 1 1 1 1 2 4 3 3.5 3 3 4 4 2 3 2 3 2
8 7 crime,housing,environment 4,7,10 2 2 2 1 2 2 1 2 2 1 2 2 2 2 5 5 5 4 5 4 4 4 4 4 4 4
9 8 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 5 5 5 1 5 5 5 5 5 5 5
10 9 economy,crime,health,welfare,environment 2,4,5,8,10 2 1 2 1 1 2 2 1 2 1 2 2 2 2 5 5 5 5 5 5 5 5 5 5 5 4
11 10 crime,health,education,housing,welfare,environment,family life 4,5,6,7,8,10,13 2 2 2 1 1 1 1 1 2 1 2 2 1 2 4 4 4 3 5 4 4 4 4 4 4 4
12 11 immigration,crime,health,education,housing,welfare,environment,family life 3,4,5,6,7,8,10,13 2 2 1 1 1 1 1 1 2 1 2 2 1 2 2 2 2 2 4 5 4 2 3 2 3 2
13 12 health,education,environment 5,6,10 2 2 2 2 1 1 2 2 2 1 2 2 2 2 2 2 2 4 4 3 4 2 4 4 4 3
14 13 immigration,crime,health,housing,welfare,family life 3,4,5,7,8,13 2 2 1 1 1 2 1 1 2 2 2 2 1 2 4 4 4 3 4 4 4 4 4 4 5 4
15 14 economy,immigration,health,education,housing,environment,pensions 2,3,5,6,7,10,12 2 1 1 2 1 1 1 2 2 1 2 1 2 2 3 3 3 2 4 3 3 3 4 4 4 5
16 15 brexit,economy,immigration,crime,health,education,housing,welfare,environment,family life 1,2,3,4,5,6,7,8,10,13 1 1 1 1 1 1 1 1 2 1 2 2 1 2 5 4 4.5 2 4 4 4 2 5 3 4 3
17 16 immigration,crime,health,education,welfare,family life 3,4,5,6,8,13 2 2 1 1 1 1 2 1 2 2 2 2 1 2 4 2 3 2 3 4 4 3 2 3 3 3
18 17 health,education,housing,welfare,environment,pensions,family life,transport 5,6,7,8,10,12,13,14 2 2 2 2 1 1 1 1 2 1 2 1 1 1 5 5 5 2 5 5 5 2 5 5 5 2
19 18 economy,education,environment 2,6,10 2 1 2 2 2 1 2 2 2 1 2 2 2 2 4 4 4 2 4 4 4 4 3 4 4 4
20 19 health,education,welfare,environment 5,6,8,10 2 2 2 2 1 1 2 1 2 1 2 2 2 2 4 2 3 2 3 2 2 2 1 2 3 1
21 20 brexit,economy,immigration,health,education,housing,welfare,environment 1,2,3,5,6,7,8,10 1 1 1 2 1 1 1 1 2 1 2 2 2 2 4 2 3 1 5 4 4 4 4 4 2 2
22 21 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 4 4.5 4 3 5 5 4 5 5 5 5
23 22 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 5 5 5 3 4 4 4 5 5 4 5
24 23 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 4 4.5 4 4 4 5 3 3 4 3 3
25 24 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 5 4 4.5 2 3 5 5 4 5 5 5 4
26 25 economy,immigration,health,education,environment 2,3,5,6,10 2 1 1 2 1 1 2 2 2 1 2 2 2 2 5 4 4.5 2 3 5 5 4 4 5 5 4
27 26 economy,health,education,housing,environment,family life 2,5,6,7,10,13 2 1 2 2 1 1 1 2 2 1 2 2 1 2 5 5 5 4 4 5 5 5 5 5 5 5
28 27 immigration,crime,health,education,housing,environment,family life 3,4,5,6,7,10,13 2 2 1 1 1 1 1 2 2 1 2 2 1 2 4 2 3 2 5 5 5 4 2 4 2 2
29 28 health,education,housing,welfare,environment,family life 5,6,7,8,10,13 2 2 2 2 1 1 1 1 2 1 2 2 1 2 4 4 4 2 4 4 4 2 4 4 4 3
30 29 crime,health,education,welfare,environment,family life 4,5,6,8,10,13 2 2 2 1 1 1 2 1 2 1 2 2 1 2 4 2 3 2 1 5 5 2 4 4 4 4
31 30 immigration,crime,health,education,welfare,environment,tax,transport 3,4,5,6,8,10,11,14 2 2 1 1 1 1 2 1 2 1 1 2 2 1 4 2 3 4 4 5 5 4 4 2 4 2
32 31 crime,health,education,housing,welfare,family life 4,5,6,7,8,13 2 2 2 1 1 1 1 1 2 2 2 2 1 2 4 4 4 2 2 4 4 4 1 2 2 2
33 32 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 3 3.5 3 4 4 5 3 4 5 5 3
34 33 economy,immigration,crime,health,education,housing,welfare,environment,family life 2,3,4,5,6,7,8,10,13 2 1 1 1 1 1 1 1 2 1 2 2 1 2 5 4 4.5 4 5 5 5 5 4 4 4 4
35 34 immigration,health,education,housing,welfare,environment 3,5,6,7,8,10 2 2 1 2 1 1 1 1 2 1 2 2 2 2 4 4 4 4 4 4 5 4 5 5 5 4
36 35 immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 3,4,5,6,7,8,9,10,11,12,13,14 2 2 1 1 1 1 1 1 1 1 1 1 1 1 4 4 4 2 3 4 4 3 5 4 4 4
37 36 immigration,education,family life 3,6,13 2 2 1 2 2 1 2 2 2 2 2 2 1 2 4 3 3.5 4 3 4 2 4 1 2 2 2
38 37 economy,immigration,health,education,environment,family life 2,3,5,6,10,13 2 1 1 2 1 1 2 2 2 1 2 2 1 2 4 3 3.5 4 5 5 5 2 4 4 5 2
39 38 brexit,economy,immigration,crime,health,education,housing,environment,family life 1,2,3,4,5,6,7,10,13 1 1 1 1 1 1 1 2 2 1 2 2 1 2 5 5 5 4 4 3 3 4 4 4 4 4
40 39 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 1 1 1 1 1 1 1 1 1 1 1 1 1 3 3 3 3 3 5 4 2 3 4 3 2
41 40 immigration,health,education,welfare,environment,tax 3,5,6,8,10,11 2 2 1 2 1 1 2 1 2 1 1 2 2 2 5 4 4.5 4 3 4 5 5 3 2 4 4
42 41 immigration,health,education,housing,environment,family life 3,5,6,7,10,13 2 2 1 2 1 1 1 2 2 1 2 2 1 2 4 4 4 4 5 5 5 4 4 5 5 4
43 42 health,education,welfare,environment,family life 5,6,8,10,13 2 2 2 2 1 1 2 1 2 1 2 2 1 2 3 3 3 3 4 3 3 3 3 3 3 3
44 43 economy,immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport 2,3,4,5,6,7,8,10,11,12,13,14 2 1 1 1 1 1 1 1 2 1 1 1 1 1 4 3 3.5 4 5 4 5 4 4 4 4 4
45 44 health,education,housing,environment,family life 5,6,7,10,13 2 2 2 2 1 1 1 2 2 1 2 2 1 2 4 4 4 3 3 4 4 3 3 4 4 3
46 45 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 5 5 4 3
47 46 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 4 4.5 4 3 5 5 5 5 5 5 4
48 47 immigration,crime,health,education,housing,welfare,environment,family life,transport 3,4,5,6,7,8,10,13,14 2 2 1 1 1 1 1 1 2 1 2 2 1 1 1 1 1 1 5 5 5 2 2 4 4 2
49 50 immigration,health,education,housing,welfare,environment,family life 3,5,6,7,8,10,13 2 2 2 1 2 2 1 2 1 2 1 2 1 2 2 1 2 2 2 1 2 4 2 4 3 4 1 3 3 5 4 4 4 3 4 3 3
50 51 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 2 4 2 4 2 2 4 3
51 52 immigration,health,education,housing,welfare,environment,family life 3,5,6,7,8,10,13 2 2 1 2 2 1 2 1 2 1 2 1 2 2 1 2 2 2 1 2 2 4 4 4 3 5 4 5 4 5 4 5 3 5 4 5 3 5 3 5
52 53 2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 2 4 2 4.5 2 3 4 4 4 3 4 4 4
53 54 2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 2 4 3 4 2.5 3 5 5 5 4 5 4 5 3 5 4 5 3 5 3
54 55 2 2 2 2 2 2 2 2 2 2 2 2 2 2 5 4 4 4.5 4 2 3 2 4 4 4 3 3 4 4 4 4
55 56 economy,health,education,housing,environment 2,5,6,7,10 2 2 1 2 2 2 1 2 1 2 1 2 2 2 1 2 2 2 2 2 4 3 4 2.5 4 3 4 5 5 4 4 5 4 5 3 5 4 3 5 3 5
56 57 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 4 5 4 2 4 3.5 2 2 3 4 3 4 3 3 4 4 1 4 2 4 2 4 2
57 58 economy,health,education,housing,environment crime,health,education,welfare,defence,environment,family life 2,5,6,7,10 4,5,6,8,9,10,13 2 1 2 2 2 1 1 1 1 2 2 1 2 1 1 2 2 2 1 2 4 5 4 4 4.5 4 5 5 4 5 5 5 4 5 4 4 5 5 4 5 4
58 59 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport immigration,crime,health,education,housing,welfare,environment,tax,family life 1,2,3,4,5,6,7,8,9,10,11,12,13,14 3,4,5,6,7,8,10,11,13 1 2 1 2 1 1 1 1 1 1 1 2 1 1 1 2 1 1 2 5 4 2 3.5 3 2 1 3 5 3 5 3 5 4 1 5 2 5 2 5 2 5
59 60 crime,health,education,welfare,defence,environment,family life health,education,welfare,environment,family life 4,5,6,8,9,10,13 5,6,8,10,13 2 2 2 1 2 1 1 2 1 1 2 1 2 2 1 2 5 4 4 3 4.5 3.5 5 2 5 5 4 5 4 4 3 4 5 3 4 3 4 2
60 61 immigration,crime,health,education,housing,welfare,environment,tax,family life health,education,welfare,environment,family life 3,4,5,6,7,8,10,11,13 5,6,8,10,13 2 2 1 2 1 2 1 1 1 2 1 2 1 1 2 2 1 2 4 1 2 3 1.5 1 5 5 5 4 5 5 5 5 5 4
61 62 health,education,welfare,environment,family life crime,health,education,housing,welfare,pensions,family life 5,6,8,10,13 4,5,6,7,8,12,13 2 2 2 2 1 1 1 2 1 1 2 1 2 2 2 1 1 2 4 3 4 3.5 4 2 3 5 3 4 4 5 3 4 2 3 3 4 2 3
62 63 health,education,welfare,environment,family life immigration,crime,health,education,welfare,environment,family life 5,6,8,10,13 3,4,5,6,8,10,13 2 2 2 1 2 1 1 1 2 1 2 1 2 2 1 2 1 5 2 4 1.5 4.5 1 2 5 2 5 5 4 5 4 5 4 5 2 5 4 2
63 64 crime,health,education,housing,welfare,pensions,family life brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 4,5,6,7,8,12,13 1,2,3,4,5,6,7,8,9,10,11,12,13,14 2 1 2 1 2 1 1 1 1 1 1 2 1 2 1 2 1 1 1 2 1 4 5 4 2 4 3.5 3 2 3 5 4 5 4 3 2 2 4 3 4 4 3 2
64 65 immigration,crime,health,education,welfare,environment,family life crime,health,education,environment,family life 3,4,5,6,8,10,13 4,5,6,10,13 2 2 1 2 1 1 1 2 1 2 2 1 2 2 1 2 5 4 4 4.5 4 2 4 2 3 5 4 4 4 4 2 4 5 4 2 3
65 66 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport immigration,crime,health,education,housing,welfare,environment,family life 1,2,3,4,5,6,7,8,9,10,11,12,13,14 3,4,5,6,7,8,10,13 1 2 1 2 1 1 1 1 1 1 1 2 1 1 2 1 2 1 1 2 5 4 2 3.5 3 2 5 4 4 2 4 2 4 4 2 4 2
66 67 crime,health,education,environment,family life health,education,housing,welfare,environment,tax 4,5,6,10,13 5,6,7,8,10,11 2 2 2 1 2 1 1 2 1 2 1 2 1 2 1 2 1 2 2 4 5 4 4 4.5 4 2 3 4 4 4 3 4 4 4 3
67 68 immigration,crime,health,education,housing,welfare,environment,family life housing 3,4,5,6,7,8,10,13 7 2 2 1 2 1 2 1 2 1 2 1 1 2 2 1 2 2 2 1 2 2 4 3 2 3 3 2 3 4 3 2 4 4 2 4 4 3 2 4 4 5 2 4
68 69 health,education,housing,welfare,environment,tax crime,education,family life 5,6,7,8,10,11 4,6,13 2 2 2 2 1 1 2 1 1 2 1 2 2 1 2 1 2 2 2 1 2 5 4 4 2 4.5 3 2 3 4 4 3 3 4 4 4 3 2
69 70 housing economy,crime,health,education,housing,welfare,environment,family life,transport 7 2,4,5,6,7,8,10,13,14 2 2 1 2 2 1 2 1 2 1 1 2 1 2 2 1 2 2 2 1 2 1 3 2 3 2 3 2 3 2 3 5 4 3 4 3 4 3 3 1 4 3 5 3 4 3
70 71 crime,education,family life economy,immigration,health,education,welfare,defence,tax,pensions,family life 4,6,13 2,3,5,6,8,9,11,12,13 2 2 1 2 1 1 2 2 1 1 2 2 1 2 1 2 2 1 2 1 1 2 4 2 2 3 2 2 1 3 4 4 3 3 2 3 2 4 4 3 4 2
71 72 economy,crime,health,education,housing,welfare,environment,family life,transport immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport 2,4,5,6,7,8,10,13,14 3,4,5,6,7,8,10,11,12,13,14 2 1 2 2 1 1 1 1 1 1 2 1 2 1 2 1 1 1 2 4 2 4 2 4 2 5 4 3 2 3 2 3 2 1 3 2 3 4 3 2
72 73 economy,immigration,health,education,welfare,defence,tax,pensions,family life economy,crime,health,education,housing,welfare,environment,transport 2,3,5,6,8,9,11,12,13 2,4,5,6,7,8,10,14 2 1 1 2 2 1 1 1 2 1 1 1 2 2 1 1 2 1 2 1 2 2 1 2 3 2 3 2 3 1 2 4 3 4 2 4 2 4 2 3 4 4 2
73 74 immigration,crime,health,education,housing,welfare,environment,tax,pensions,family life,transport brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 3,4,5,6,7,8,10,11,12,13,14 1,2,3,4,5,6,7,8,9,10,11,12,13,14 2 1 2 1 1 1 1 1 1 1 2 1 1 1 1 1 1 4 5 4 4 4.5 2 4 4 3 2 4 2 4 2 4 1 3 2 4 4 2 4
74 75 economy,crime,health,education,housing,welfare,environment,transport health,education,welfare,environment 2,4,5,6,7,8,10,14 5,6,8,10 2 1 2 2 1 2 1 1 1 2 1 2 1 2 2 2 1 2 3 5 3 4 3 4.5 2 5 4 5 4 5 4 2 4 2 3 4 4 2 4
75 76 brexit,economy,immigration,crime,health,education,housing,welfare,defence,environment,tax,pensions,family life,transport 1,2,3,4,5,6,7,8,9,10,11,12,13,14 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 1 2 5 4 4 4.5 4 4 3 2 4 5 4 4 3 4 4 4 4
76 77 health,education,welfare,environment 5,6,8,10 2 2 2 2 1 2 1 2 2 1 2 2 1 2 2 2 2 2 5 3 4 2 4.5 2.5 5 1 5 1 5 4 3 4 3 2 4 4 4
77 78 health,education,housing,environment 5,6,7,10 2 2 2 2 2 1 2 1 2 1 2 2 2 1 2 2 2 2 4 2 4 2 4 2 4 2 2 4 5 3 4 2 4 2 4 1 4 2 4 2 4 1
78 79 brexit,immigration,crime,health,education,housing,welfare,environment,family life 1,3,4,5,6,7,8,10,13 2 1 2 2 1 2 1 2 1 2 1 2 1 2 1 2 2 1 2 2 2 1 2 3 2 2 2.5 2 1 1 5 5 4 3 4 4 3 2 4 4 4 3 4 3
79 80 health,education,housing,environment 5,6,7,10 2 2 2 2 1 2 1 2 1 2 2 2 1 2 2 2 2 2 2 4 2 3 2 3.5 2 3 4 3 2 4 2 3 1 2 2 3 2 3 1 4
80 81 brexit,immigration,crime,health,education,housing,welfare,environment,family life 1,3,4,5,6,7,8,10,13 1 2 2 1 2 1 2 1 2 1 2 1 2 1 2 2 1 2 2 2 1 2 2 2 5 2 4 2 4.5 1 5 5 4 4 3 4 4 4 3 4 3 4
81 82 economy,health,education,environment,family life 2,5,6,10,13 2 2 1 2 2 2 1 2 1 2 2 2 2 1 2 2 2 1 2 4 3 4 3.5 4 3 5 4 5 3 5 4 5 3 5 2 4 3 4 3 5 4 5
82 84 immigration,crime,health,environment 3,4,5,10 2 2 2 1 2 1 2 1 2 2 2 2 2 1 2 2 2 2 5 1 4 1 4.5 1 5 1 5 4 1 4 3 4 1 4 1 4 1 4 3 4 1
economy,health,education,environment,family life 2,5,6,10,13 2 1 2 2 1 1 2 2 2 1 2 2 1 2 4 4 4 5 5 5 5 5 4 4 5 5
2 2 2 2 2 2 2 2 2 2 2 2 2 2 2 1 1.5 1 3
immigration,crime,health,environment 3,4,5,10 2 2 1 1 1 2 2 2 2 1 2 2 2 2 1 1 1 1 5 1 3 1 1 1 3 1
2 2 2 2 2 2 2 2 2 2 2 2 2 2 4 3 3.5 3 3

172
data/Q26_data.csv
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@ -1,86 +1,86 @@
Q26,Other Priorities,Lack Subject Knowledge,Lack Confidence,Current Syllabus,Pupil Disinterest,Department Head,Available Work Schemes,Unavailable Resources,Uncertain of Pedagogical Approach Ps,Q26,Other Priorities,Lack Subject Knowledge,Lack Confidence,Current Syllabus,Pupil Disinterest,Department Head,Available Work Schemes,Unavailable Resources,Uncertain of Pedagogical Approach
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 1,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 2,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 3,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE 4,"7,8,9",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,TRUE
3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 5,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 6,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 7,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 8,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 9,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 10,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"1,3,8,9",TRUE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE 11,"1,3,8,9",TRUE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
"1,5,9",TRUE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE 12,"1,5,9",TRUE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE
"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE 13,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 14,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
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1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 16,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
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"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE 19,"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE
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8,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE 21,8,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 22,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
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,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 29,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 30,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"2,4,7,8",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE 31,"2,4,7,8",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
"4,6,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,TRUE,FALSE 32,"4,6,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,TRUE,TRUE,TRUE,FALSE
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1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 35,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"2,3",FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 36,"2,3",FALSE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
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,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 40,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE 41,7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 42,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
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4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 47,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 48,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"4,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE 49,"4,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE
"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE 50,"4,7,9",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,TRUE
"2,4,6",FALSE,TRUE,FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,FALSE 51,"2,4,6",FALSE,TRUE,FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,FALSE
"1,7,8",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE 52,"1,7,8",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 53,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 54,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE 55,7,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE 56,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 57,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE 58,"7,8",FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE,FALSE
"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE 59,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE 60,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
6,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE 61,6,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE
3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 62,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 63,1,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"1,2,3,8",TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE 64,"1,2,3,8",TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE
"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE 65,"4,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
"2,3,4,8",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE 66,"2,3,4,8",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,FALSE,TRUE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 67,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE 68,"1,7",TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE
"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 69,"1,4",TRUE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"3,8,9",FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE 70,"3,8,9",FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,TRUE,TRUE
"2,3,4,7",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE 71,"2,3,4,7",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 72,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE 73,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 74,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 75,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 76,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 77,,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
"2,4,7",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE 78,"2,4,7",FALSE,TRUE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE 79,"4,7,8",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE 80,3,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE
9,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE 81,9,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,FALSE,TRUE
"3,4,7,8",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE 82,"3,4,7,8",FALSE,FALSE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,FALSE
4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE 83,4,FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,FALSE,FALSE,FALSE
"2,3,4,7,8,9",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,TRUE 84,"2,3,4,7,8,9",FALSE,TRUE,TRUE,TRUE,FALSE,FALSE,TRUE,TRUE,TRUE
"4,7",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE 85,"4,7",FALSE,FALSE,FALSE,TRUE,FALSE,FALSE,TRUE,FALSE,FALSE
1 Ps Q26 Other Priorities Lack Subject Knowledge Lack Confidence Current Syllabus Pupil Disinterest Department Head Available Work Schemes Unavailable Resources Uncertain of Pedagogical Approach
2 1 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
3 2 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
4 3 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
5 4 7,8,9 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
6 5 3 FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
7 6 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
8 7 1,4 TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
9 8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
10 9 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
11 10 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
12 11 1,3,8,9 TRUE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE
13 12 1,5,9 TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE
14 13 7,8 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
15 14 1,4 TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
16 15 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
17 16 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
18 17 7 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
19 18 7,8 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
20 19 4,7,9 FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE
21 20 7,9 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE
22 21 8 FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE
23 22 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
24 23 1,7 TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
25 24 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
26 25 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
27 26 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
28 27 3,4 FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE
29 28 7,8 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
30 29 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
31 30 1,4 TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
32 31 2,4,7,8 FALSE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
33 32 4,6,7,8 FALSE FALSE FALSE TRUE FALSE TRUE TRUE TRUE FALSE
34 33 4,7,8 FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
35 34 1,7,8,9 TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
36 35 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
37 36 2,3 FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
38 37 1,2 TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
39 38 4,6,7 FALSE FALSE FALSE TRUE FALSE TRUE TRUE FALSE FALSE
40 39 2,7,8 FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
41 40 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
42 41 7 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
43 42 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
44 43 7,9 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE
45 44 7,8,9 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE
46 45 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
47 46 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
48 47 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
49 48 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
50 49 4,9 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE
51 50 4,7,9 FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE TRUE
52 51 2,4,6 FALSE TRUE FALSE TRUE FALSE TRUE FALSE FALSE FALSE
53 52 1,7,8 TRUE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
54 53 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
55 54 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
56 55 7 FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
57 56 4,8 FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE
58 57 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
59 58 7,8 FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE
60 59 4,8 FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE
61 60 4,7,8 FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
62 61 6 FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
63 62 3 FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
64 63 1 TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
65 64 1,2,3,8 TRUE TRUE TRUE FALSE FALSE FALSE FALSE TRUE FALSE
66 65 4,8 FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE
67 66 2,3,4,8 FALSE TRUE TRUE TRUE FALSE FALSE FALSE TRUE FALSE
68 67 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
69 68 1,7 TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE
70 69 1,4 TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
71 70 3,8,9 FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE TRUE
72 71 2,3,4,7 FALSE TRUE TRUE TRUE FALSE FALSE TRUE FALSE FALSE
73 72 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
74 73 4,7,8 FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
75 74 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
76 75 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
77 76 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
78 77 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
79 78 2,4,7 FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE
80 79 4,7,8 FALSE FALSE FALSE TRUE FALSE FALSE TRUE TRUE FALSE
81 80 3 FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE
82 81 9 FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE
83 82 3,4,7,8 FALSE FALSE TRUE TRUE FALSE FALSE TRUE TRUE FALSE
84 83 4 FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE
85 84 2,3,4,7,8,9 FALSE TRUE TRUE TRUE FALSE FALSE TRUE TRUE TRUE
86 85 4,7 FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE

74
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Ps,Q12,Q13,Q13_recode,Q14,Q15,Q16,Q16_short,Q21,Q22_1,Q22_2,Q22_average,Q23_1,Q23_2,Q27_1,Q27_2,Q27_3,Q27_4,Q27_5,Q27_6,Q27_7
1,No,,,,No,,,Nonreligious,4,4,4,3,5,4,4,4,4,4,4,4
2,Yes,Church of England,1,,No,,,Christian,4,3,3.5,2,5,4,5,5,3,4,4,4
3,No,,,,No,,,,3,3,3,3,4,4,4,4,4,4,4,4
4,Yes,Muslim,6,,No,,,Muslim British ,4,2,3,4,5,4,3,2,3,2,2,2
5,Yes,Church of England,1,,No,,,Pentecostal,4,2,3,1,4,5,4,2,5,4,3,3
6,Yes,Church of England,1,,No,,,RC - Lapsed,4,3,3.5,3,3,4,4,2,3,2,3,2
7,No,,,,No,,,,5,5,5,4,5,4,4,4,4,4,4,4
8,Yes,Roman Catholic,2,,No,,,,5,5,5,5,1,5,5,5,5,5,5,5
9,No,,,,Yes,,,Christian ,5,5,5,5,5,5,5,5,5,5,5,4
10,No,,,,Yes,There is nothing official but our assemblies reflect a Christian nature,Christian,Non religious,4,4,4,3,5,4,4,4,4,4,4,4
11,Yes,Church of England,1,,No,,,,2,2,2,2,4,5,4,2,3,2,3,2
12,No,,,,Yes,Christian ethos and history,Christian,Secular,2,2,2,4,4,3,4,2,4,4,4,3
13,No,,,,No,,,Hindu,4,4,4,3,4,4,4,4,4,4,5,4
14,Yes,Church of England,1,,No,,,,3,3,3,2,4,3,3,3,4,4,4,5
15,Yes,Church of England,1,,No,,,Christian,5,4,4.5,2,4,4,4,2,5,3,4,3
16,Yes,Church of England,1,,No,,,,4,2,3,2,3,4,4,3,2,3,3,3
17,No,,,,No,,,Christian,5,5,5,2,5,5,5,2,5,5,5,2
18,No,,,,No,,,,4,4,4,2,4,4,4,4,3,4,4,4
19,Yes,Church of England,1,,No,,,Christian,4,2,3,2,3,2,2,2,1,2,3,1
20,No,,,,No,,,N/A,4,2,3,1,5,4,4,4,4,4,2,2
21,No,,,,No,,,No affiliation.,5,4,4.5,4,3,5,5,4,5,5,5,5
22,No,,,,No,,,,5,5,5,5,3,4,4,4,5,5,4,5
23,No,,,,Yes,"Informally Christian. This is not expressed in curriculum choices, only in school events. Eg. the school has a carol service, sings hymns in assembly, speech day is in a church.",Christian,Agnostic,5,4,4.5,4,4,4,5,3,3,4,3,3
24,Yes,Church of England,1,,No,,,Christian,5,4,4.5,2,3,5,5,4,5,5,5,4
25,No,,,,No,,,agnostic,5,4,4.5,2,3,5,5,4,4,5,5,4
26,No,,,,No,,,Practicing Christian,5,5,5,4,4,5,5,5,5,5,5,5
27,No,,,,Yes,we mark Christian festivals such as Christmas ,Christian,Catholic,4,2,3,2,5,5,5,4,2,4,2,2
28,Yes,Church of England,1,,No,,,christian,4,4,4,2,4,4,4,2,4,4,4,3
29,No,,,,No,,,Non-believer,4,2,3,2,1,5,5,2,4,4,4,4
30,No,,,,Yes,Christian,Christian,Open,4,2,3,4,4,5,5,4,4,2,4,2
31,No,,,,No,,,Yes,4,4,4,2,2,4,4,4,1,2,2,2
32,Yes,Roman Catholic,2,,No,,,Catholic,4,3,3.5,3,4,4,5,3,4,5,5,3
33,Yes,Roman Catholic,2,,No,,,RC,5,4,4.5,4,5,5,5,5,4,4,4,4
34,No,,,,Yes,Christian ethos inderpins academy values. Founder us a church leader. We have a church attached to one of the school hubs,Christian,Christian,4,4,4,4,4,4,5,4,5,5,5,4
35,Yes,Church of England,1,,No,,,Christian,4,4,4,2,3,4,4,3,5,4,4,4
36,No,,,,No,,,c of E,4,3,3.5,4,3,4,2,4,1,2,2,2
37,Yes,Roman Catholic,2,,No,,,Roman Catholic ,4,3,3.5,4,5,5,5,2,4,4,5,2
38,No,,,,No,,,Christian ,5,5,5,4,4,3,3,4,4,4,4,4
39,Yes,Roman Catholic,2,,No,,,Religious,3,3,3,3,3,5,4,2,3,4,3,2
40,No,,,,No,,,Agnostic ,5,4,4.5,4,3,4,5,5,3,2,4,4
41,Yes,Church of England,1,,No,,,Christian,4,4,4,4,5,5,5,4,4,5,5,4
42,Yes,Church of England,1,,No,,,,3,3,3,3,4,3,3,3,3,3,3,3
43,Yes,Church of England,1,,No,,,Christian,4,3,3.5,4,5,4,5,4,4,4,4,4
44,No,,,,No,,,cHRISTIAN ,4,4,4,3,3,4,4,3,3,4,4,3
47,No,,,,No,,,Christian,1,1,1,1,5,5,5,2,2,4,4,2
50,Yes,Church of England,1,,No,,,"Christian, Sufi",4,4,4,3,5,4,4,4,3,4,3,3
53,No,,,,,,,,5,4,4.5,2,3,4,4,4,3,4,4,4
54,No,,,,,,,,2,3,2.5,3,5,5,4,4,3,4,3,3
56,Yes,Other Christian,4,,Yes,,,,4,4,4,4,5,4,5,5,5,4,5,5
57,Yes,Other Christian,4,,No,,,,5,2,3.5,2,3,3,3,4,1,2,2,2
58,Yes,Church of England,1,,No,,,Christian,5,4,4.5,5,5,5,5,4,4,5,4,4
59,Yes,Roman Catholic,2,,No,,,CATHOLIC,4,2,3,1,5,5,5,4,5,5,5,5
60,Yes,Church of England,1,,Yes,Multi-academy Trust with core values that are shared,Multi-Academy,Christian,4,3,3.5,2,5,4,4,3,4,3,3,2
61,No,,,,No,,,Athiest,1,2,1.5,1,5,5,5,5,5,5,5,4
62,Yes,Church of England,1,,No,,,Christian,4,4,4,3,3,4,5,3,2,3,4,3
63,No,,,,Yes,"over 60% of our students are Muslims, so this indirectly influences class discussions and interests",Muslim,Humanist,5,4,4.5,2,2,5,4,4,4,2,5,2
64,Yes,Other Christian,4,,Yes,We have a Christian Ethos underpinning the Academy but we are not a faith school,Christian,Christian,5,2,3.5,2,5,4,4,2,4,4,4,2
65,Yes,Other Christian,4,,No,,,catholic,4,4,4,4,3,4,4,4,4,4,4,3
66,Yes,Church of England,1,,No,,,Christian ,4,2,3,2,4,2,4,2,4,2,4,2
67,No,,,,No,,,Christian,5,4,4.5,2,3,4,4,3,4,4,4,3
68,Yes,Other Christian,4,,Yes,,,,3,3,3,3,3,4,4,4,3,4,5,4
69,No,,,,No,,,Agnostic ,4,2,3,2,3,4,3,3,4,4,4,2
70,No,,,,No,,,Catholic ,2,2,2,2,5,3,3,3,1,3,3,3
71,No,,,,No,,,Christian,2,2,2,1,4,3,2,2,4,3,4,2
72,Yes,Church of England,1,,Yes,,,Christian,4,4,4,2,4,2,2,2,1,2,4,2
73,No,,,,No,,,Anglican Christian,3,3,3,2,4,4,4,2,2,4,4,2
74,Yes,Church of England,1,,No,,,,5,4,4.5,4,3,4,4,4,3,4,4,4
75,Yes,Church of England,1,,No,,,Agnostic ,5,4,4.5,5,5,5,4,4,3,4,4,4
78,No,,,,No,,,C of E,2,2,2,2,4,3,2,2,1,2,2,1
79,No,,,,No,,,Atheist ,2,2,2,1,5,4,4,3,4,4,3,3
81,No,,,,No,,,,5,4,4.5,5,5,4,4,4,4,4,4,4
82,No,,,,No,,,,4,4,4,5,5,5,5,5,4,4,5,5
84,Yes,Church of England,1,,No,,,,1,1,1,1,5,1,3,1,1,1,3,1
1 Ps Q12 Q13 Q13_recode Q14 Q15 Q16 Q16_short Q21 Q22_1 Q22_2 Q22_average Q23_1 Q23_2 Q27_1 Q27_2 Q27_3 Q27_4 Q27_5 Q27_6 Q27_7
2 1 No No Nonreligious 4 4 4 3 5 4 4 4 4 4 4 4
3 2 Yes Church of England 1 No Christian 4 3 3.5 2 5 4 5 5 3 4 4 4
4 3 No No 3 3 3 3 4 4 4 4 4 4 4 4
5 4 Yes Muslim 6 No Muslim British 4 2 3 4 5 4 3 2 3 2 2 2
6 5 Yes Church of England 1 No Pentecostal 4 2 3 1 4 5 4 2 5 4 3 3
7 6 Yes Church of England 1 No RC - Lapsed 4 3 3.5 3 3 4 4 2 3 2 3 2
8 7 No No 5 5 5 4 5 4 4 4 4 4 4 4
9 8 Yes Roman Catholic 2 No 5 5 5 5 1 5 5 5 5 5 5 5
10 9 No Yes Christian 5 5 5 5 5 5 5 5 5 5 5 4
11 10 No Yes There is nothing official but our assemblies reflect a Christian nature Christian Non religious 4 4 4 3 5 4 4 4 4 4 4 4
12 11 Yes Church of England 1 No 2 2 2 2 4 5 4 2 3 2 3 2
13 12 No Yes Christian ethos and history Christian Secular 2 2 2 4 4 3 4 2 4 4 4 3
14 13 No No Hindu 4 4 4 3 4 4 4 4 4 4 5 4
15 14 Yes Church of England 1 No 3 3 3 2 4 3 3 3 4 4 4 5
16 15 Yes Church of England 1 No Christian 5 4 4.5 2 4 4 4 2 5 3 4 3
17 16 Yes Church of England 1 No 4 2 3 2 3 4 4 3 2 3 3 3
18 17 No No Christian 5 5 5 2 5 5 5 2 5 5 5 2
19 18 No No 4 4 4 2 4 4 4 4 3 4 4 4
20 19 Yes Church of England 1 No Christian 4 2 3 2 3 2 2 2 1 2 3 1
21 20 No No N/A 4 2 3 1 5 4 4 4 4 4 2 2
22 21 No No No affiliation. 5 4 4.5 4 3 5 5 4 5 5 5 5
23 22 No No 5 5 5 5 3 4 4 4 5 5 4 5
24 23 No Yes Informally Christian. This is not expressed in curriculum choices, only in school events. Eg. the school has a carol service, sings hymns in assembly, speech day is in a church. Christian Agnostic 5 4 4.5 4 4 4 5 3 3 4 3 3
25 24 Yes Church of England 1 No Christian 5 4 4.5 2 3 5 5 4 5 5 5 4
26 25 No No agnostic 5 4 4.5 2 3 5 5 4 4 5 5 4
27 26 No No Practicing Christian 5 5 5 4 4 5 5 5 5 5 5 5
28 27 No Yes we mark Christian festivals such as Christmas Christian Catholic 4 2 3 2 5 5 5 4 2 4 2 2
29 28 Yes Church of England 1 No christian 4 4 4 2 4 4 4 2 4 4 4 3
30 29 No No Non-believer 4 2 3 2 1 5 5 2 4 4 4 4
31 30 No Yes Christian Christian Open 4 2 3 4 4 5 5 4 4 2 4 2
32 31 No No Yes 4 4 4 2 2 4 4 4 1 2 2 2
33 32 Yes Roman Catholic 2 No Catholic 4 3 3.5 3 4 4 5 3 4 5 5 3
34 33 Yes Roman Catholic 2 No RC 5 4 4.5 4 5 5 5 5 4 4 4 4
35 34 No Yes Christian ethos inderpins academy values. Founder us a church leader. We have a church attached to one of the school hubs Christian Christian 4 4 4 4 4 4 5 4 5 5 5 4
36 35 Yes Church of England 1 No Christian 4 4 4 2 3 4 4 3 5 4 4 4
37 36 No No c of E 4 3 3.5 4 3 4 2 4 1 2 2 2
38 37 Yes Roman Catholic 2 No Roman Catholic 4 3 3.5 4 5 5 5 2 4 4 5 2
39 38 No No Christian 5 5 5 4 4 3 3 4 4 4 4 4
40 39 Yes Roman Catholic 2 No Religious 3 3 3 3 3 5 4 2 3 4 3 2
41 40 No No Agnostic 5 4 4.5 4 3 4 5 5 3 2 4 4
42 41 Yes Church of England 1 No Christian 4 4 4 4 5 5 5 4 4 5 5 4
43 42 Yes Church of England 1 No 3 3 3 3 4 3 3 3 3 3 3 3
44 43 Yes Church of England 1 No Christian 4 3 3.5 4 5 4 5 4 4 4 4 4
45 44 No No cHRISTIAN 4 4 4 3 3 4 4 3 3 4 4 3
46 47 No No Christian 1 1 1 1 5 5 5 2 2 4 4 2
47 50 Yes Church of England 1 No Christian, Sufi 4 4 4 3 5 4 4 4 3 4 3 3
48 53 No 5 4 4.5 2 3 4 4 4 3 4 4 4
49 54 No 2 3 2.5 3 5 5 4 4 3 4 3 3
50 56 Yes Other Christian 4 Yes 4 4 4 4 5 4 5 5 5 4 5 5
51 57 Yes Other Christian 4 No 5 2 3.5 2 3 3 3 4 1 2 2 2
52 58 Yes Church of England 1 No Christian 5 4 4.5 5 5 5 5 4 4 5 4 4
53 59 Yes Roman Catholic 2 No CATHOLIC 4 2 3 1 5 5 5 4 5 5 5 5
54 60 Yes Church of England 1 Yes Multi-academy Trust with core values that are shared Multi-Academy Christian 4 3 3.5 2 5 4 4 3 4 3 3 2
55 61 No No Athiest 1 2 1.5 1 5 5 5 5 5 5 5 4
56 62 Yes Church of England 1 No Christian 4 4 4 3 3 4 5 3 2 3 4 3
57 63 No Yes over 60% of our students are Muslims, so this indirectly influences class discussions and interests Muslim Humanist 5 4 4.5 2 2 5 4 4 4 2 5 2
58 64 Yes Other Christian 4 Yes We have a Christian Ethos underpinning the Academy but we are not a faith school Christian Christian 5 2 3.5 2 5 4 4 2 4 4 4 2
59 65 Yes Other Christian 4 No catholic 4 4 4 4 3 4 4 4 4 4 4 3
60 66 Yes Church of England 1 No Christian 4 2 3 2 4 2 4 2 4 2 4 2
61 67 No No Christian 5 4 4.5 2 3 4 4 3 4 4 4 3
62 68 Yes Other Christian 4 Yes 3 3 3 3 3 4 4 4 3 4 5 4
63 69 No No Agnostic 4 2 3 2 3 4 3 3 4 4 4 2
64 70 No No Catholic 2 2 2 2 5 3 3 3 1 3 3 3
65 71 No No Christian 2 2 2 1 4 3 2 2 4 3 4 2
66 72 Yes Church of England 1 Yes Christian 4 4 4 2 4 2 2 2 1 2 4 2
67 73 No No Anglican Christian 3 3 3 2 4 4 4 2 2 4 4 2
68 74 Yes Church of England 1 No 5 4 4.5 4 3 4 4 4 3 4 4 4
69 75 Yes Church of England 1 No Agnostic 5 4 4.5 5 5 5 4 4 3 4 4 4
70 78 No No C of E 2 2 2 2 4 3 2 2 1 2 2 1
71 79 No No Atheist 2 2 2 1 5 4 4 3 4 4 3 3
72 81 No No 5 4 4.5 5 5 4 4 4 4 4 4 4
73 82 No No 4 4 4 5 5 5 5 5 4 4 5 5
74 84 Yes Church of England 1 No 1 1 1 1 5 1 3 1 1 1 3 1

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