pisa.log: Logistic regression analysis

In dickli/intsvy2: International Assessment Data Manager 2

Description

pisa.log performs logistic regression analysis (OLS) for an observed depedent variable (NOT for plausible values) Use the pisa2015.log() for data from PISA 2015 study.

Usage

pisa.log(y, x, by, data, export=FALSE, name= "output", folder=getwd())
pisa2015.log(y, x, by, data, export=FALSE, name= "output", folder=getwd())

Arguments

y	Label for dependent variable.
x	Data labels of independent variables.
by	The label for the grouping variable, usually the countries (i.e., by="CNT"), but could be any other categorical variable.
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 prints a data.frame with regression results (i.e., coefficients, standard errors, t-values, R-squared) and stores replicate estimates and other regression output in a list object of class "intsvy.reg".

See Also

pirls.log, timss.log

Examples

## Not run: 
# Table IV.5.14, p. 457 International Report 2012

pisa12$SKIP[!(pisa12$ST09Q01 =="None" & pisa12$ST115Q01 == "None")] <- 1
pisa12$SKIP[pisa12$ST09Q01 =="None" & pisa12$ST115Q01 == "None"] <- 0

pisa12$LATE[!pisa12$ST08Q01=="None"] <- 1
pisa12$LATE[pisa12$ST08Q01=="None"] <- 0

pisa.log(y="SKIP", x="LATE", by="IDCNTRYL", data = pisa12)

# from PISA2012lite

student2012$SKIP[!(student2012$ST09Q01 =="None  " & student2012$ST115Q01 == 1)] <- 1
student2012$SKIP[student2012$ST09Q01 =="None  " & student2012$ST115Q01 == 1] <- 0

student2012$LATE[!student2012$ST08Q01=="None  "] <- 1
student2012$LATE[student2012$ST08Q01=="None  "] <- 0

pisa.log(y="SKIP", x="LATE", by="CNT", data = student2012)


## End(Not run)

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