BIFIEsurvey (version 3.5-19)

BIFIE.data.jack: Create BIFIE.data Object with Jackknife Zones

Description

Creates a BIFIE.data object for designs with jackknife zones, especially for TIMSS/PIRLS and PISA studies.

Usage

BIFIE.data.jack(data, wgt=NULL, jktype="JK_TIMSS", pv_vars=NULL,
     jkzone=NULL, jkrep=NULL, jkfac=NULL, fayfac=NULL,
     wgtrep="W_FSTR", pvpre=paste0("PV",1:5), ngr=100,
     seed=.Random.seed, cdata=FALSE)

Value

Object of class BIFIEdata

Arguments

data

Data frame: Can be a single or a list of multiply-imputed datasets

wgt

A string indicating the label of case weight. In case of jktype="JK_TIMSS" the weight is specified as wgt="TOTWGT" as the default.

pv_vars

An optional vector of plausible values which define multiply-imputed datasets.

jktype

Type of jackknife procedure for creating the BIFIE.data object. jktype="JK_TIMSS" refers to TIMSS/PIRLS datasets up to 2011 data, jktype="JK_TIMSS2" refers to TIMSS/PIRLS datasets starting from 2015 data. The type "JK_GROUP" creates jackknife weights based on a user defined grouping, the type "JK_RANDOM" creates random groups. The number of random groups can be defined in ngr. The argument jktype="RW_PISA" converts PISA datasets into objects of class BIFIEdata.

jkzone

Jackknife zones. If jktype="JK_TIMSS", then jkzone="JKZONE".

jkrep

Jackknife replicate factors. If jktype="JK_TIMSS", then jkrep="JKREP".

jkfac

Factor for multiplying jackknife replicate weights. If jktype="JK_TIMSS", then jkfac=2.

fayfac

Fay factor for statistical inference. The default is set to NULL.

wgtrep

Variables in the dataset which refer to the replicate weights. In case of cdata=TRUE, the replicate weights are deleted from datalistM.

pvpre

Only applicable for jktype="RW_PISA". The vector contains the prefixes of the variables containing plausible values.

ngr

Number of randomly created groups in "JK_RANDOM".

seed

The simulation seed if "JK_RANDOM" is chosen. If seed=NULL, then the grouping is done according the order in the dataset.

cdata

An optional logical indicating whether the BIFIEdata object should be compactly saved. The default is FALSE.

See Also

BIFIE.data, BIFIE.data.boot

Examples

#############################################################################
# EXAMPLE 1: Convert TIMSS dataset to BIFIE.data object
#############################################################################

data(data.timss3)

# define plausible values
pv_vars <- c("ASMMAT", "ASSSCI" )
# create BIFIE.data objects -> 5 imputed datasets
bdat1 <- BIFIEsurvey::BIFIE.data.jack( data=data.timss3,  pv_vars=pv_vars,
             jktype="JK_TIMSS"  )
summary(bdat1)

# create BIFIE.data objects -> all PVs are included in one dataset
bdat2 <- BIFIEsurvey::BIFIE.data.jack( data=data.timss3,  jktype="JK_TIMSS"  )
summary(bdat2)

#############################################################################
# EXAMPLE 2: Creation of Jackknife zones and replicate weights for data.test1
#############################################################################

data(data.test1)

# create jackknife zones based on random group creation
bdat1 <- BIFIEsurvey::BIFIE.data.jack( data=data.test1,  jktype="JK_RANDOM",
                    ngr=50 )
summary(bdat1)
stat1 <- BIFIEsurvey::BIFIE.univar( bdat1, vars="math",  group="stratum" )
summary(stat1)

# random creation of groups and inclusion of weights
bdat2 <- BIFIEsurvey::BIFIE.data.jack( data=data.test1,  jktype="JK_RANDOM",
                ngr=75, seed=987, wgt="wgtstud")
summary(bdat2)
stat2 <- BIFIEsurvey::BIFIE.univar( bdat2, vars="math",  group="stratum" )
summary(stat2)

# using idclass as jackknife zones
bdat3 <- BIFIEsurvey::BIFIE.data.jack( data=data.test1,  jktype="JK_GROUP",
                jkzone="idclass", wgt="wgtstud")
summary(bdat3)
stat3 <- BIFIEsurvey::BIFIE.univar( bdat3, vars="math",  group="stratum" )
summary(stat3)

# create BIFIEdata object with a list of imputed datasets
dataList <- list( data.test1, data.test1, data.test1 )
bdat4 <- BIFIEsurvey::BIFIE.data.jack( data=dataList,  jktype="JK_GROUP",
                jkzone="idclass", wgt="wgtstud")
summary(bdat4)

if (FALSE) {
#############################################################################
# EXAMPLE 3: Converting a PISA dataset into a BIFIEdata object
#############################################################################

data(data.pisaNLD)

# BIFIEdata with cdata=FALSE
bifieobj <- BIFIEsurvey::BIFIE.data.jack( data.pisaNLD, jktype="RW_PISA", cdata=FALSE)
summary(bifieobj)
# BIFIEdata with cdata=TRUE
bifieobj1 <- BIFIEsurvey::BIFIE.data.jack( data.pisaNLD, jktype="RW_PISA", cdata=TRUE)
summary(bifieobj1)
}