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Frey, Andreas
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Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
Applied Mathematics
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Developmental and Educational Psychology
Education
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spelling Born, Sebastian Frey, Andreas 0013-1644 1552-3888 SAGE Publications Applied Mathematics Applied Psychology Developmental and Educational Psychology Education http://dx.doi.org/10.1177/0013164416643744 <jats:p> Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional adaptive testing. Very few studies have examined the performance of existing constraint management methods (CMMs) in MAT. The present article focuses on the effectiveness of two promising heuristic CMMs in MAT for varying levels of imposed constraints and for various correlations between the measured dimensions. Through a simulation study, the multidimensional maximum priority index (MMPI) and multidimensional weighted penalty model (MWPM), as an extension of the weighted penalty model, are examined with regard to measurement precision and constraint violations. The results show that both CMMs are capable of addressing complex constraints in MAT. However, measurement precision losses were found to differ between the MMPI and MWPM. While the MMPI appears to be more suitable for use in assessment situations involving few to a moderate number of constraints, the MWPM should be used when numerous constraints are involved. </jats:p> Heuristic Constraint Management Methods in Multidimensional Adaptive Testing Educational and Psychological Measurement
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title Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_unstemmed Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_full Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_fullStr Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_full_unstemmed Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_short Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_sort heuristic constraint management methods in multidimensional adaptive testing
topic Applied Mathematics
Applied Psychology
Developmental and Educational Psychology
Education
url http://dx.doi.org/10.1177/0013164416643744
publishDate 2017
physical 241-262
description <jats:p> Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional adaptive testing. Very few studies have examined the performance of existing constraint management methods (CMMs) in MAT. The present article focuses on the effectiveness of two promising heuristic CMMs in MAT for varying levels of imposed constraints and for various correlations between the measured dimensions. Through a simulation study, the multidimensional maximum priority index (MMPI) and multidimensional weighted penalty model (MWPM), as an extension of the weighted penalty model, are examined with regard to measurement precision and constraint violations. The results show that both CMMs are capable of addressing complex constraints in MAT. However, measurement precision losses were found to differ between the MMPI and MWPM. While the MMPI appears to be more suitable for use in assessment situations involving few to a moderate number of constraints, the MWPM should be used when numerous constraints are involved. </jats:p>
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description <jats:p> Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional adaptive testing. Very few studies have examined the performance of existing constraint management methods (CMMs) in MAT. The present article focuses on the effectiveness of two promising heuristic CMMs in MAT for varying levels of imposed constraints and for various correlations between the measured dimensions. Through a simulation study, the multidimensional maximum priority index (MMPI) and multidimensional weighted penalty model (MWPM), as an extension of the weighted penalty model, are examined with regard to measurement precision and constraint violations. The results show that both CMMs are capable of addressing complex constraints in MAT. However, measurement precision losses were found to differ between the MMPI and MWPM. While the MMPI appears to be more suitable for use in assessment situations involving few to a moderate number of constraints, the MWPM should be used when numerous constraints are involved. </jats:p>
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spelling Born, Sebastian Frey, Andreas 0013-1644 1552-3888 SAGE Publications Applied Mathematics Applied Psychology Developmental and Educational Psychology Education http://dx.doi.org/10.1177/0013164416643744 <jats:p> Although multidimensional adaptive testing (MAT) has been proven to be highly advantageous with regard to measurement efficiency when several highly correlated dimensions are measured, there are few operational assessments that use MAT. This may be due to issues of constraint management, which is more complex in MAT than it is in unidimensional adaptive testing. Very few studies have examined the performance of existing constraint management methods (CMMs) in MAT. The present article focuses on the effectiveness of two promising heuristic CMMs in MAT for varying levels of imposed constraints and for various correlations between the measured dimensions. Through a simulation study, the multidimensional maximum priority index (MMPI) and multidimensional weighted penalty model (MWPM), as an extension of the weighted penalty model, are examined with regard to measurement precision and constraint violations. The results show that both CMMs are capable of addressing complex constraints in MAT. However, measurement precision losses were found to differ between the MMPI and MWPM. While the MMPI appears to be more suitable for use in assessment situations involving few to a moderate number of constraints, the MWPM should be used when numerous constraints are involved. </jats:p> Heuristic Constraint Management Methods in Multidimensional Adaptive Testing Educational and Psychological Measurement
spellingShingle Born, Sebastian, Frey, Andreas, Educational and Psychological Measurement, Heuristic Constraint Management Methods in Multidimensional Adaptive Testing, Applied Mathematics, Applied Psychology, Developmental and Educational Psychology, Education
title Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_full Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_fullStr Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_full_unstemmed Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_short Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
title_sort heuristic constraint management methods in multidimensional adaptive testing
title_unstemmed Heuristic Constraint Management Methods in Multidimensional Adaptive Testing
topic Applied Mathematics, Applied Psychology, Developmental and Educational Psychology, Education
url http://dx.doi.org/10.1177/0013164416643744