readTIMSS | R Documentation |
Opens a connection to a TIMSS data file and
returns an edsurvey.data.frame
with
information about the file and data.
readTIMSS(
path,
countries,
gradeLvl = c("4", "8", "4b", "8b"),
forceReread = FALSE,
verbose = TRUE
)
path |
a character vector to the full directory path(s) to the TIMSS 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 User Guide
documentation to help determine what countries
are included within a specific testing year of TIMSS and
for country code definitions.
To select all countries available, use a wildcard value of |
gradeLvl |
a character value to indicate the specific grade level you wish to return
|
forceReread |
a logical value to force rereading of all processed data.
The default value of |
verbose |
a logical value to either print or suppress status message output.
The default value is |
Reads in the unzipped files downloaded from the TIMSS international database(s) using the IEA Study Data Repository. Data files require the SPSS data file (.sav) format using the default filenames.
A TIMSS edsurvey.data.frame
includes three distinct data levels:
student
school
teacher
When the getData
function is called using a TIMSS 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 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
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.
Beginning with TIMSS 2015, a numeracy
dataset was designed to assess
mathematics at the end of the primary school cycle
for countries where most children are still developing fundamental mathematics skills.
The numeracy
dataset is handled automatically for the user and is
included within the fourth-grade dataset gradeLvl=4
.
Most numeracy
countries have a 4th grade
dataset in addition
to their numeracy
dataset, but some do not.
For countries that have both a numeracy
and a 4th grade
dataset,
the two datasets are combined into one edsurvey.data.frame
for that country.
Data variables missing from either dataset are kept, with NA
values
inserted for the dataset records where that variable did not exist.
Data variables common to both datasets are kept as a single data variable,
with records retaining their original values from the source dataset.
Consult the TIMSS User Guide for further information.
For the TIMSS 2019 study, a bridge study was conducted to help compute adjustment factors
between the electronic test format and the paper/pencil format. The bridge study is
considered separate from the normal TIMSS 2019 study. The gradeLvl
parameter now
includes a "4B"
option for the Grade 4 bridge study, and the "8B"
option
for the Grade 8 bridge study files.
an edsurvey.data.frame
for a single specified country or an edsurvey.data.frame.list
if multiple countries specified
Tom Fink
readNAEP
, getData
, and downloadTIMSS
## Not run:
# single country specified
fin <- readTIMSS(path="~/TIMSS/2015", countries = c("fin"), gradeLvl = 4)
gg <- getData(data=fin, varnames=c("asbg01", "totwgt", "srea"))
head(gg)
edsurveyTable(formula=srea ~ asbg01, fin)
# multiple countries returned as edsurvey.data.frame.list, specify all countries with '*' argument
timss2011 <- readTIMSS(path="~/TIMSS/2011", countries="*", gradeLvl = 8, verbose = TRUE)
# print out edsurvey.data.frame.list covariates
timss2011$covs
## End(Not run)
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