mitools (version 2.4)

pisamaths: Maths Performance Data from the PISA 2012 survey in New Zealand

Description

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.

Usage

data("pisamaths")

Format

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

References

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

Examples

# NOT RUN {
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))



# }