Zobrazeno 1 - 10
of 35
pro vyhledávání: '"John R. Donoghue"'
Publikováno v:
ETS Research Report Series. 2022:1-14
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e240bd9d2a74e9fa4b766a2d4489e7b0
https://doi.org/10.1002/ets2.12360
https://doi.org/10.1002/ets2.12360
Publikováno v:
Journal of Educational Measurement.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f90115dce4a219b76d511571a3765e9c
https://doi.org/10.1111/jedm.12360
https://doi.org/10.1111/jedm.12360
Autor:
John R. Donoghue
Publikováno v:
ETS Research Report Series. 2015:1-12
At the heart of van der Linden's approach to automated test assembly (ATA) is a linear programming/integer programming (LP/IP) problem. A variety of IP solvers are available, ranging in cost from free to hundreds of thousands of dollars. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c192b507339c00ed33f3c71eab0a57d
https://doi.org/10.1002/ets2.12051
https://doi.org/10.1002/ets2.12051
Autor:
Adrienne Sgammato, John R. Donoghue
When constructed response items are administered repeatedly, “trend scoring” can be used to test for rater drift. In trend scoring, raters rescore responses from the previous administration. Two simulation studies evaluated the utility of Stuart
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::456c37e33caf80a9c46751e054208f66
https://europepmc.org/articles/PMC5978607/
https://europepmc.org/articles/PMC5978607/
Autor:
John R. Donoghue
Publikováno v:
Multivariate behavioral research. 30(2)
In a preliminary investigation, two Monte Carlo studies investigated the effects of within-group covariance structure on subgroup recovery by I0 hierarchical clustering methods. Data sets were 100 bivariate observations from two subgroups. Study 1 ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4754b1adc3fb963ba06d215b85f8eff7
https://pubmed.ncbi.nlm.nih.gov/26801301
https://pubmed.ncbi.nlm.nih.gov/26801301
Publikováno v:
Designing Teacher Evaluation Systems
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c87f88e53d0044617fb98959b75182e5
https://doi.org/10.1002/9781119210856.ch16
https://doi.org/10.1002/9781119210856.ch16
Publikováno v:
Applied Psychological Measurement. 26:192-207
The generalized graded unfolding model (GGUM) is a very general parametric, unidimensional item response theory model for unfolding either binary or polytomous responses to test items. Roberts, Donoghue, and Laughlin have described a marginal maximum
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::94fbe50d0f6f7b6dd6ad1c19381be4d8
https://doi.org/10.1177/01421602026002006
https://doi.org/10.1177/01421602026002006
Publikováno v:
Applied Psychological Measurement. 24:3-32
The generalized graded unfolding model (GGUM) is developed. This model allows for either binary or graded responses and generalizes previous item response models for unfolding in two useful ways. First, it implements a discrimination parameter that v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1d253942f3f0cc29b4f014bc64f042bb
https://doi.org/10.1177/01466216000241001
https://doi.org/10.1177/01466216000241001
Autor:
John R. Donoghue, Steven Isham
Publikováno v:
Applied Psychological Measurement. 22:33-51
Monte carlo methods were used to compare several measures of item parameter drift. Number of examinees, number of items, and number of drift items in the test were manipulated. Overall, Lord's x2 measure was the most effective in identifying items th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8cf5139608e4b12ce39e5023aa5f0987
https://doi.org/10.1177/01466216980221002
https://doi.org/10.1177/01466216980221002
Autor:
John R. Donoghue, Nancy L. Allen
Publikováno v:
Journal of Educational Measurement. 33:231-251
This Monte Carlo study examined the effect of complex sampling of items on the measurement of differential item functioning (DIF) using the Mantel-Haenszel procedure. Data were generated using a 3-parameter logistic item response theory model accordi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::573475377b8f1416ba08ddae9a04918d
https://doi.org/10.1111/j.1745-3984.1996.tb00491.x
https://doi.org/10.1111/j.1745-3984.1996.tb00491.x