SACMEQ
The Southern and Eastern Africa Consortium for Monitoring Educational Quality
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
SAS
initially short for “Statistical Analysis System”, analytical software produced by SAS Institute Inc.
Author: Nathalie Mertes, IEA
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
SEACMEQ
The Southern and Eastern Africa Consortium for Monitoring Educational Quality (previously SACMEQ)
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
SPSS
Statistical Package for the Social Sciences (now “IBM SPSS Statistics”), a software package presently distributed by IBM
Author: Nathalie Mertes, IEA
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
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