IRT Scoring and Test Blueprint Fidelity

IRT Scoring and Test Blueprint Fidelity This article focuses on the topic of how item response theory (IRT) scoring models reflect the intended content allocation in a set of test specifications or test blueprint. Although either an adaptive or linear assessment can be built to reflect a set of design specifications, the method of scoring is also a critical step. Standard IRT models employ a set of optimal scoring weights, and these weights depend on item parameters in the two-parameter logistic (2PL) and three-parameter logistic (3PL) models. The current article is an investigation of whether the scoring models reflect an intended set of weights defined as the proportion of item falling into each cell of the test blueprint. The 3PL model is of special interest because the optimal scoring weights depend on ability. Thus, the concern arises that for examinees of low ability, the intended weights are implicitly altered. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Applied Psychological Measurement SAGE

IRT Scoring and Test Blueprint Fidelity

Loading next page...
 
/lp/sage/irt-scoring-and-test-blueprint-fidelity-M37CAulu0L
Publisher
SAGE
Copyright
© The Author(s) 2018
ISSN
0146-6216
eISSN
1552-3497
D.O.I.
10.1177/0146621618754897
Publisher site
See Article on Publisher Site

Abstract

This article focuses on the topic of how item response theory (IRT) scoring models reflect the intended content allocation in a set of test specifications or test blueprint. Although either an adaptive or linear assessment can be built to reflect a set of design specifications, the method of scoring is also a critical step. Standard IRT models employ a set of optimal scoring weights, and these weights depend on item parameters in the two-parameter logistic (2PL) and three-parameter logistic (3PL) models. The current article is an investigation of whether the scoring models reflect an intended set of weights defined as the proportion of item falling into each cell of the test blueprint. The 3PL model is of special interest because the optimal scoring weights depend on ability. Thus, the concern arises that for examinees of low ability, the intended weights are implicitly altered.

Journal

Applied Psychological MeasurementSAGE

Published: Jul 1, 2018

There are no references for this article.

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Search

Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly

Organize

Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.

Access

Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve

Freelancer

DeepDyve

Pro

Price

FREE

$49/month
$360/year

Save searches from
Google Scholar,
PubMed

Create lists to
organize your research

Export lists, citations

Read DeepDyve articles

Abstract access only

Unlimited access to over
18 million full-text articles

Print

20 pages / month

PDF Discount

20% off