Measurement Statistician Positions
Headquartered in Princeton, NJ, Educational Testing Service (ETS) is the
world's premier educational measurement institution and a leader in
educational research. As an innovator in developing achievement and
occupational tests for clients in business, education, and government, we
are determined to advance educational excellence for the communities we
The positions of Measurement Statistician in the Research & Development
Division involve directing, planning, and conducting statistical
activities for large-scale paper and computer-based testing programs. This
includes developing score interpretation materials and testing program
publications through the application of statistical methods and indices.
Measurement Statisticians provide statistical programming in support of
special analyses related to testing program work and are responsible for
score equating using classical test theory or item response theory;
performing and interpreting data analyses (e.g., item analyses,
reliability analyses, and differential item functioning analyses); and for
other statistical and psychometric routines. Individuals also perform
research in innovative assessment techniques and run data analysis
routines using statistical software packages.
REQUIREMENTS FOR A JUNIOR LEVEL POSITION
A doctorate (or A.B.D. but must anticipate receiving doctoral degree
within 6 months of hire) in educational or psychological measurement and
statistics, educational psychology or a closely related field. Candidates
must have at least one year of experience in educational measurement,
applied statistics, or teaching. Experience may be gained through
doctoral studies. In lieu of a doctoral degree, a master's degree with at
least three years of experience is also acceptable.
REQUIREMENTS FOR A MID-LEVEL POSITION
A doctoral degree in educational or psychological measurement and
statistics, educational psychology, or a closely related field with at
least three years of experience in an applied measurement or statistical
analysis environment is required. In lieu of a doctoral degree, a
master's degree with at least six years of experience is also acceptable.
Experience or education for both junior and mid-level positions must
include applying and interpreting psychometric methods in at least two of
the following areas: item analysis, factor analysis, scaling, equating,
standard setting and/or item calibration. Candidates must also have
experience in applying statistical procedures, and their applications;
application of classical test theory and item response theory; and use of
statistical software packages.
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