pisamaths: Maths Performance Data from the PISA 2012 survey in New...
In mitools: Tools for Multiple Imputation of Missing Data

Description Usage Format Source References Examples

Data on maths performance, gender, some problem-solving variables and some school resource variables. This is actually a weighted survey: see withPV.survey.design in the survey package for a better analyis.

1	data("pisamaths")

A data frame with 4291 observations on the following 26 variables.

SCHOOLID: School ID
CNT: Country id: a factor with levels New Zealand
STRATUM: a factor with levels NZL0101 NZL0102 NZL0202 NZL0203
OECD: Is the country in the OECD?
STIDSTD: Student ID
ST04Q01: Gender: a factor with levels Female Male
ST14Q02: Mother has university qualifications No Yes
ST18Q02: Father has university qualifications No Yes
MATHEFF: Mathematics Self-Efficacy: numeric vector
OPENPS: Mathematics Self-Efficacy: numeric vector
PV1MATH,PV2MATH,PV3MATH,PV4MATH,PV5MATH: 'Plausible values' (multiple imputations) for maths performance
W_FSTUWT: Design weight for student
SC35Q02: Proportion of maths teachers with professional development in maths in past year
PCGIRLS: Proportion of girls at the school
PROPMA5A: Proportion of maths teachers with ISCED 5A (math major)
ABGMATH: Does the school group maths students: a factor with levels No ability grouping between any classes One of these forms of ability grouping between classes for s One of these forms of ability grouping for all classes
SMRATIO: Number of students per maths teacher
W_FSCHWT: Design weight for school
condwt: Design weight for student given school

A subset extracted from the PISA2012lite R package, https://github.com/pbiecek/PISA2012lite

OECD (2013) PISA 2012 Assessment and Analytical Framework: Mathematics, Reading, Science, Problem Solving and Financial Literacy. OECD Publishing.

data(pisamaths)

means<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths,
       action= quote(by(maths, ST04Q01, mean)), rewrite=TRUE)
means

models<-withPV(list(maths~PV1MATH+PV2MATH+PV3MATH+PV4MATH+PV5MATH), data=pisamaths,
       action= quote(lm(maths~ST04Q01*PCGIRLS)), rewrite=TRUE)
summary(MIcombine(models))