participating country.
•
In 2011, the PIRLS and TIMSS assessment cycles came
together, providing a unique opportunity for countries to
collect reading, mathematics, and science achievement
data on the same fourth grade students.
•
Also in 2011, IEA introduced a less difficult version of
PIRLS—called prePIRLS—as a way for countries with
developing education systems to assess reading at the end
of primary school and as a stepping stone to participating
in PIRLS.
•
In 2016, PIRLS was expanded to include two new
assessments of reading comprehension, PIRLS Literacy
and ePIRLS. The PIRLS Literacy assessment is
equivalent to PIRLS in scope and reflects the same
conception of reading as PIRLS, except it is less difficult
overall. ePIRLS is an innovative assessment of online
reading, designed to be responsive to the information age
and provide important information about how well
students are developing 21st century skills.
Future Plans The next administration is scheduled for 2021. PIRLS 2021
will be the new assessment, digitalPIRLS, which includes
PIRLS and ePIRLS, and will be administered in a complete
computer-based delivery system.
5. DATA QUALITY AND COMPARABILITY Comparisons made
in
PIRLS (e.g. education
systems’
averages compared to the U. S. average) are tested for
differences using statistical significance, which requires the
estimation of standard errors. However, the estimation of
correct standard errors is complicated by the complex
sample and assessment designs of PIRLS: both the sample
design and assessment design generate error variance and
mandate a set of statistically complex procedures. For
PIRLS, estimates produced using the data are subject to two
types of error—nonsampling and sampling error.
Nonsampling error can be due to errors made in collecting
and processing data. Sampling error can occur because the
data were collected from a sample rather than a complete
census of the population.