#prep the data
knitr::opts_chunk$set(fig.width=12, fig.height=8, fig.path='Figs/',
echo=FALSE, warning=FALSE, message=FALSE, error = FALSE)
## q24
## momedu2 No Yes
## 0-NO higher education 416 189
## 1-Higher education 874 607
## q24
## momedu2 No Yes
## 0-NO higher education 4.16 -4.16
## 1-Higher education -4.16 4.16
## q21
## momedu2 No Yes
## 0-NO higher education 148 445
## 1-Higher education 447 985
## q21
## momedu2 No Yes
## 0-NO higher education -2.81 2.81
## 1-Higher education 2.81 -2.81
## q19
## momedu2 No Yes
## 0-NO higher education 199 413
## 1-Higher education 557 936
## q19
## momedu2 No Yes
## 0-NO higher education -2.08 2.08
## 1-Higher education 2.08 -2.08
## q22_2
## momedu2 No, nobody Yes, someone
## 0-NO higher education 331 271
## 1-Higher education 906 571
## q22_2
## momedu2 No, nobody Yes, someone
## 0-NO higher education -2.68 2.68
## 1-Higher education 2.68 -2.68
## q22_3
## momedu2 1 - Parents 2 - Elder children 3 - Others
## 0-NO higher education 136 99 36
## 1-Higher education 270 234 67
## q22_3
## momedu2 1 - Parents 2 - Elder children 3 - Others
## 0-NO higher education 0.79 -1.23 0.64
## 1-Higher education -0.79 1.23 -0.64
выделила 4 категории: отталкнули характеристики школы, её барьеры, пришёл отказ или родители просто выбрали другую/переведут потом
## Has higher education Has NO higher education NA's
## 1506 629 139
## [1] 183
## [1] 110
## [1] 205
## [1] 85
## [1] 41
## [1] 15
## [1] 59
## [1] 23
##
## Pearson's Chi-squared test
##
## data: ed252
## X-squared = 6.2992, df = 3, p-value = 0.09793
##
## Pearson's Chi-squared test
##
## data: ed252
## X-squared = 6.0092, df = 2, p-value = 0.04956
## HE252_1 NHE252_1
## барьеры 0.22 -0.22
## характеристики 2.17 -2.17
## отказ -1.98 1.98
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: ed252
## X-squared = 1.9217, df = 1, p-value = 0.1657