pisa.log.pv: Logistic regression analysis with plausible values

In dickli/intsvy2: International Assessment Data Manager 2

Description

pisa.log.pv performs logistic regression with plausible values and replicate weights. Use the pisa2015.log.pv() for data from PISA 2015 study.

Usage

pisa.log.pv(pvlabel="READ", x, by, cutoff,  
      data, export=FALSE, name= "output", folder=getwd())
pisa2015.log.pv(pvlabel="READ", x, by, cutoff,  
      data, export=FALSE, name= "output", folder=getwd())

Arguments

pvlabel	The label corresponding to the achievement variable, for example, "READ", for overall reading performance.
x	Data labels of independent variables.
cutoff	The cut-off point at which the dependent plausible values scores are dichotomised (1 is larger than the cut-off)
by	The label for the categorical grouping variable (i.e., by="IDCNTRYL") or variables (e.g., x= c("IDCNTRYL", "ST79Q03")).
data	An R object, normally a data frame, containing the data from PISA.
export	A logical value. If TRUE, the output is exported to a file in comma-separated value format (.csv) that can be opened from LibreOffice or Excel.
name	The name of the exported file.
folder	The folder where the exported file is located.

Value

pisa.log.pv returns a data frame with coefficients, standard errors, t-values, and odds ratios. If "by" is specified, results are reported in a list.

See Also

timss.log.pv, pirls.log.pv

Examples

## Not run: 
timss.log.pv(pvlabel="BSMMAT", cutoff= 550, x=c("ITSEX", "BSBGSLM"), by="IDCNTRYL", data=timss8g)
intsvy.log.pv(pvlabel="BSMMAT", cutoff= 550, x="ITSEX", by="IDCNTRYL", 
data=timss8g, config=timss8_conf)

## End(Not run)

dickli/intsvy2 documentation built on Sept. 8, 2020, 12:05 a.m.