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Evaluation of the Efficiency of Item Calibration
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| Zeitschriftentitel: | Applied Psychological Measurement |
|---|---|
| Personen und Körperschaften: | , |
| In: | Applied Psychological Measurement, 12, 1988, 1, S. 53-67 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
SAGE Publications
|
| Schlagwörter: |
| author_facet |
Vale, C. David Gialluca, Kathleen A. Vale, C. David Gialluca, Kathleen A. |
|---|---|
| author |
Vale, C. David Gialluca, Kathleen A. |
| spellingShingle |
Vale, C. David Gialluca, Kathleen A. Applied Psychological Measurement Evaluation of the Efficiency of Item Calibration Psychology (miscellaneous) Social Sciences (miscellaneous) |
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vale, c. david |
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Vale, C. David Gialluca, Kathleen A. 0146-6216 1552-3497 SAGE Publications Psychology (miscellaneous) Social Sciences (miscellaneous) http://dx.doi.org/10.1177/014662168801200106 <jats:p> This study compared several IRT calibration proce dures to determine which procedure, if any, consis tently produced the most accurate item parameter esti mates. A new criterion of calibration efficiency was used for evaluating the calibration procedures; this cri terion considers the joint effects of individual item pa rameter errors as they relate to the accuracy of θ esti mation. Four methods of item calibration were evaluated: (1) heuristic estimates obtained from trans formations of traditional item statistics; (2) ANCILLES, a program that first fits the c parameter and then trans forms traditional item statistics to IRT a and b parame ters ; (3) LOGIST, a joint maximum likelihood proce dure ; and (4) ASCAL, a modification of LOGIST'S algorithm which applies Bayesian priors to the abilities and item parameters. These were compared with each other and with a constant item parameter baseline con dition. ASCAL and LOGIST produced estimates of essen tially equivalent accuracy, although ASCAL's estimates of the c parameters were slightly superior. The heuris tic estimates and those from ANCILLES were generally poor in comparison, particularly for smaller sample sizes. Index terms: Calibration efficiency, Item calibration, Item parameter estimation, Item response theory, Latent trait models. </jats:p> Evaluation of the Efficiency of Item Calibration Applied Psychological Measurement |
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Applied Psychological Measurement |
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Evaluation of the Efficiency of Item Calibration |
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Evaluation of the Efficiency of Item Calibration |
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Evaluation of the Efficiency of Item Calibration |
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Evaluation of the Efficiency of Item Calibration |
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Evaluation of the Efficiency of Item Calibration |
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Evaluation of the Efficiency of Item Calibration |
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evaluation of the efficiency of item calibration |
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Psychology (miscellaneous) Social Sciences (miscellaneous) |
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http://dx.doi.org/10.1177/014662168801200106 |
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1988 |
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53-67 |
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<jats:p> This study compared several IRT calibration proce dures to determine which procedure, if any, consis tently produced the most accurate item parameter esti mates. A new criterion of calibration efficiency was used for evaluating the calibration procedures; this cri terion considers the joint effects of individual item pa rameter errors as they relate to the accuracy of θ esti mation. Four methods of item calibration were evaluated: (1) heuristic estimates obtained from trans formations of traditional item statistics; (2) ANCILLES, a program that first fits the c parameter and then trans forms traditional item statistics to IRT a and b parame ters ; (3) LOGIST, a joint maximum likelihood proce dure ; and (4) ASCAL, a modification of LOGIST'S algorithm which applies Bayesian priors to the abilities and item parameters. These were compared with each other and with a constant item parameter baseline con dition. ASCAL and LOGIST produced estimates of essen tially equivalent accuracy, although ASCAL's estimates of the c parameters were slightly superior. The heuris tic estimates and those from ANCILLES were generally poor in comparison, particularly for smaller sample sizes. Index terms: Calibration efficiency, Item calibration, Item parameter estimation, Item response theory, Latent trait models. </jats:p> |
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| author | Vale, C. David, Gialluca, Kathleen A. |
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| description | <jats:p> This study compared several IRT calibration proce dures to determine which procedure, if any, consis tently produced the most accurate item parameter esti mates. A new criterion of calibration efficiency was used for evaluating the calibration procedures; this cri terion considers the joint effects of individual item pa rameter errors as they relate to the accuracy of θ esti mation. Four methods of item calibration were evaluated: (1) heuristic estimates obtained from trans formations of traditional item statistics; (2) ANCILLES, a program that first fits the c parameter and then trans forms traditional item statistics to IRT a and b parame ters ; (3) LOGIST, a joint maximum likelihood proce dure ; and (4) ASCAL, a modification of LOGIST'S algorithm which applies Bayesian priors to the abilities and item parameters. These were compared with each other and with a constant item parameter baseline con dition. ASCAL and LOGIST produced estimates of essen tially equivalent accuracy, although ASCAL's estimates of the c parameters were slightly superior. The heuris tic estimates and those from ANCILLES were generally poor in comparison, particularly for smaller sample sizes. Index terms: Calibration efficiency, Item calibration, Item parameter estimation, Item response theory, Latent trait models. </jats:p> |
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| imprint | SAGE Publications, 1988 |
| imprint_str_mv | SAGE Publications, 1988 |
| institution | DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1, DE-105, DE-14, DE-Ch1, DE-L229 |
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| spelling | Vale, C. David Gialluca, Kathleen A. 0146-6216 1552-3497 SAGE Publications Psychology (miscellaneous) Social Sciences (miscellaneous) http://dx.doi.org/10.1177/014662168801200106 <jats:p> This study compared several IRT calibration proce dures to determine which procedure, if any, consis tently produced the most accurate item parameter esti mates. A new criterion of calibration efficiency was used for evaluating the calibration procedures; this cri terion considers the joint effects of individual item pa rameter errors as they relate to the accuracy of θ esti mation. Four methods of item calibration were evaluated: (1) heuristic estimates obtained from trans formations of traditional item statistics; (2) ANCILLES, a program that first fits the c parameter and then trans forms traditional item statistics to IRT a and b parame ters ; (3) LOGIST, a joint maximum likelihood proce dure ; and (4) ASCAL, a modification of LOGIST'S algorithm which applies Bayesian priors to the abilities and item parameters. These were compared with each other and with a constant item parameter baseline con dition. ASCAL and LOGIST produced estimates of essen tially equivalent accuracy, although ASCAL's estimates of the c parameters were slightly superior. The heuris tic estimates and those from ANCILLES were generally poor in comparison, particularly for smaller sample sizes. Index terms: Calibration efficiency, Item calibration, Item parameter estimation, Item response theory, Latent trait models. </jats:p> Evaluation of the Efficiency of Item Calibration Applied Psychological Measurement |
| spellingShingle | Vale, C. David, Gialluca, Kathleen A., Applied Psychological Measurement, Evaluation of the Efficiency of Item Calibration, Psychology (miscellaneous), Social Sciences (miscellaneous) |
| title | Evaluation of the Efficiency of Item Calibration |
| title_full | Evaluation of the Efficiency of Item Calibration |
| title_fullStr | Evaluation of the Efficiency of Item Calibration |
| title_full_unstemmed | Evaluation of the Efficiency of Item Calibration |
| title_short | Evaluation of the Efficiency of Item Calibration |
| title_sort | evaluation of the efficiency of item calibration |
| title_unstemmed | Evaluation of the Efficiency of Item Calibration |
| topic | Psychology (miscellaneous), Social Sciences (miscellaneous) |
| url | http://dx.doi.org/10.1177/014662168801200106 |