timss.log: Logistic regression analysis

In intsvy: International Assessment Data Manager

Logistic regression analysis

Description

timss.log performs logistic regression analysis for an observed depedent variable (NOT for plausible values)

Usage

timss.log(y, x, by, data, export = FALSE, 
name = "output", folder = getwd())

Arguments

y	Label for dependent variable
x	Data labels of independent variables (e.g., x = c("ASDHEHLA", "ITSEX") ).
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.
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

timss.log prints a data frame with coefficients, standard errors, t-values, and odds ratios. Results are stored in a list object of class "intsvy.reg".

See Also

pirls.log, pisa.log

Examples

## Not run: 

pisa$SKIP[!(pisa$ST09Q01 =="None" & pisa$ST115Q01 == "None")] <- 1
pisa$SKIP[pisa$ST09Q01 =="None" & pisa$ST115Q01 == "None"] <- 0

pisa$LATE[!pisa$ST08Q01=="None"] <- 1
pisa$LATE[pisa$ST08Q01=="None"] <- 0

pisa.log(y="SKIP", x="LATE", by="IDCNTRYL", data = pisa)


## End(Not run)

intsvy documentation built on Oct. 3, 2023, 1:07 a.m.