SACMEQ
The Southern and Eastern Africa Consortium for Monitoring Educational Quality (now SEACMEQ)
sample
a subset of a target population that can be studied for purposes of making generalizations about the larger target population
Author: Creswell (2008), p. 646
sample design
all aspects and features of a specific sample, such as multiple stages or phases, stratification, and clustering
Author: Sabine Meinck, IEA
sample size
determines the number of units to be sampled
Author: Sabine Meinck, IEA
sampling frame
a list of all units belonging to the target population, or in the case of multiple-stage sampling, a list of all units containing the target population
Author: Sabine Meinck, IEA
sampling weight
a numeric value representing the inverse of the selection probability; in an ILSA, the final sampling weight (also called “design weight” or “estimation weight”) usually reflects all sampling stages and includes non-response adjustments
Author: Sabine Meinck, IEA
SAQ
survey activities questionnaire
scale
metric used to summarize performance on a test or on a set of items in a background questionnaire
Author: Eugene Gonzalez, ETS
scale anchoring process
used to arrive at probabilistic descriptions of what study participants (e.g., students) know and can do at different levels of a distribution of scores
Author: Eugene Gonzalez, ETS
scaling
process of creating scales
Author: Eugene Gonzalez, ETS
SCC
SEACMEQ (previously SACMEQ) Co-ordinating Centre
SchQ
SDG
sustainable development goal
SEA-PLM
Southeast Asia Primary Learning Metrics
SEACMEQ
The Southern and Eastern Africa Consortium for Monitoring Educational Quality (previously SACMEQ)
SEAMEO
Southeast Asia Ministers of Education Organization
secondary analyses
analyses performed on data collected by others; these generally follow the primary analysis performed by the organization or agency responsible for collecting the data
Author: Eugene Gonzalez, ETS
SES
significance
the level of probability reflecting the maximum risk one is willing to accept that observed differences are due to chance; typically set at .01 (a 1% chance that a sample statistic will be due to chance) or .05 (5% chance)
Author: Creswell (2008), p. 647
simple random sampling
single-step method to ensure that every possible sample of size n has an equal chance of being selected, thus ensuring that each each unit in a sample has the same inclusion probability
Author: Statistics Canada (2010), p. 93
SMIRC
Science and Mathematics Item Review Committee
SRS
STEM
science, technology, engineering, and mathematics
STEP
Skills Towards Employment and Productivity; a study conducted by the World Bank
stratified sampling
probability sampling technique by which a sampling frame is divided into homogeneous, mutually exclusive groups (strata) based on specific characteristics (e.g., region, gender), from which independent samples can then be drawn; stratification can be applied at each sampling stage
Author: Sabine Meinck, IEA, based on Statistics Canada (2010), p. 104
sustainable development goals
The 17 goals which are at the center of the “2030 Agenda for Sustainable Development,” adopted by all United Nations Member States in 2015; goal 4 is related to education: “Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all”
SYS
systematic sampling
a probability sampling procedure according to which units are selected from a population at regular intervals, beginning from a random starting point, until the desired sample size is reached
Author: Nathalie Mertes, IEA, based on Statistics Canada (2010), p. 96