pirls.reg.pv | R Documentation |
pirls.reg.pv performs linear regression analysis (OLS) with plausible values and replicate weights.
pirls.reg.pv(x, pvlabel, by,
data, std=FALSE, export = FALSE, name = "output", folder = getwd())
x |
Data labels of independent variables (e.g., x = c("ASDHEHLA", "ITSEX") ). |
pvlabel |
The names of columns corresponding to the achievement plausible scores. |
by |
The label for the grouping variable, usually the countries (i.e., by="IDCNTRYL"), but could be any other categorical variable. |
data |
An R object, normally a data frame, containing the data from PIRLS. |
std |
A logical value. If TRUE standardised regression coefficients are calculated. |
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. |
pirls.reg.pv prints a data.frame with regression results (i.e., coefficients, standard errors, t-values, R-squared) and stores different regression output including residuals, replicate coefficients, variance within and between, and the regression data.frame in a list object of class "intsvy.reg".
timss.reg.pv, pisa.reg.pv
## Not run:
pirls$SEX[pirls$ITSEX=="BOY"]=1
pirls$SEX[pirls$ITSEX=="GIRL"]=0
pirls.reg.pv(pvlabel= paste0("ASRREA0", 1:5), by="IDCNTRYL", x="SEX", data=pirls)
## End(Not run)
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