Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Steven Isham"'
Publikováno v:
Educational Assessment. 26:20-34
Today, postsecondary institutions in the US typically wish to enroll entering classes that are both academically qualified and diverse. Although the definition of diversity varies from school to sc...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f272b3ec10d104753ad15fa7a4eb0395
https://doi.org/10.1080/10627197.2020.1841626
https://doi.org/10.1080/10627197.2020.1841626
Publikováno v:
Applied Measurement in Education. 32:281-297
In US colleges, the scarcity of students from low-income families is a major concern. We present a novel way of boosting the percentage of qualified low-income students using constrained optimizati...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63818ac9c03d2f9762df8fd0e693c601
https://doi.org/10.1080/08957347.2019.1660346
https://doi.org/10.1080/08957347.2019.1660346
Publikováno v:
Journal of Educational Measurement. 55:132-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f167802acb0d32d055187f12a1413b6
https://doi.org/10.1111/jedm.12167
https://doi.org/10.1111/jedm.12167
Publikováno v:
Journal of Educational and Behavioral Statistics. 37:601-629
This study demonstrates how the stability of Mantel–Haenszel (MH) DIF (differential item functioning) methods can be improved by integrating information across multiple test administrations using B...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::406994f40eece759a3292b6ad75f51a4
https://doi.org/10.3102/1076998611431085
https://doi.org/10.3102/1076998611431085
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
Publikováno v:
ETS Research Report Series. 2013:i-23
Differential item functioning (DIF) analysis is a key component in the evaluation of the fairness and validity of educational tests. Although it is often assumed that refinement of the matching criterion always provides more accurate DIF results, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87af9a9de1cd81c4c028d2e0f9055173
https://doi.org/10.1002/j.2333-8504.2013.tb02323.x
https://doi.org/10.1002/j.2333-8504.2013.tb02323.x
Autor:
Steven Isham, John R. Donoghue
Publikováno v:
ETS Research Report Series. 1996:i-46
This study used Monte Carlo methods to examine the use of several methods to identify item parameter drift. Number of examinees, number of items, and number of drift items in the test were manipulated. Overall, Lord's χ2 measure was the most effecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7368fa12ea0e41e3b2c4154f86c32361
https://doi.org/10.1002/j.2333-8504.1996.tb01713.x
https://doi.org/10.1002/j.2333-8504.1996.tb01713.x