Opens a connection to a TIMSS Advanced data file and
returns an edsurvey.data.frame
with
information about the file and data.
Usage
readTIMSSAdv(
path,
countries,
subject = c("math", "physics"),
forceReread = FALSE,
verbose = TRUE
)
Arguments
- path
a character vector to the full directory path to the TIMSS Advanced extracted SPSS (.sav) set of data
- countries
a character vector of the country/countries to include using the three-digit ISO country code. A list of country codes can be found on Wikipedia at https://en.wikipedia.org/wiki/ISO_3166-1#Current_codes or other online sources. Consult the TIMSS Advanced User Guide to help determine what countries are included within a specific testing year of TIMSS Advanced. To select all countries, use a wildcard value of
*
.- subject
a character value to indicate if you wish to import the
math
orphysics
dataset. Only one subject can be read in at a time.- forceReread
a logical value to force rereading of all processed data. The default value of
FALSE
will speed up thereadTIMSSAdv
function by using existing read-in data already processed.- verbose
a logical value to either print or suppress status message output. The default value is
TRUE
.
Value
an edsurvey.data.frame
for a single specified country or an edsurvey.data.frame.list
if multiple countries specified
Details
Reads in the unzipped files downloaded from the TIMSS Advanced international database(s) using the IEA Study Data Repository. Data files require the SPSS data file (.sav) format using the default filenames.
A TIMSS Advanced edsurvey.data.frame
includes three distinct data levels:
student
school
teacher
When the getData
function is called using a TIMSS Advanced edsurvey.data.frame
,
the requested data variables are inspected, and it handles any necessary data merges automatically.
The school
data always will be returned merged to the student
data, even if only school
variables are requested.
If teacher
variables are requested by the getData
call it will cause the teacher
data to be merged.
Many students
can be linked to many teachers
, which varies widely between countries.
Please note that calling the dim
function for a TIMSS Advanced edsurvey.data.frame
will result in the row count as if the teacher
dataset was merged.
This row count will be considered the full data N
of the edsurvey.data.frame
, even if no teacher
data were included in an analysis.
The column count returned by dim
will be the count of unique column variables across all three data levels.
See also
readNAEP
, readTIMSS
, getData
, and downloadTIMSSAdv
Examples
if (FALSE) { # \dontrun{
swe <- readTIMSSAdv("~/TIMSSAdv/2015",
countries = c("swe"), subject = "math")
gg <- getData(data=swe, varnames=c("itsex", "totwgt", "malg"))
head(gg)
edsurveyTable(formula=malg ~ itsex, swe)
} # }