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Not all DIF is shaped similarly
Psychometrika, 2021In response to the target article by Teresi et al. (2021), we explain why the article is useful and we also present a different approach. An alternative category of differential item functioning (DIF) is presented with a corresponding way of modeling DIF, based on random person and random item effects and explanatory covariates.
De Boeck, Paul, Cho, Sun-Joo
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Proceedings RIDE '96. Sixth International Workshop on Research Issues in Data Engineering, 2002
Most computerized data is not under the purview of traditional database management systems, but, rather, it is stored in files. Data Interchange Formats (DIFs) are the basis of an important class of such files, containing massive volumes of data, and serving a large user community.
Paul Benninghoff, David Maier 0001
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Most computerized data is not under the purview of traditional database management systems, but, rather, it is stored in files. Data Interchange Formats (DIFs) are the basis of an important class of such files, containing massive volumes of data, and serving a large user community.
Paul Benninghoff, David Maier 0001
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An Examination of Item Context Effects, DIF, and Gender DIF
Applied Measurement in Education, 2001This investigation examined whether the patterns of gender differential item functioning (DIF) present in parcels of items are influenced by changes in item position. Items were studied collectively to detect differential bundle functioning (DBF) on 2 forms of a test of mathematics for college freshmen. To investigate order effects, 2 forms of the test
Katherine E. Ryan, Shuwan Chiu
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Applied Psychological Measurement, 2010
Practitioners are increasingly becoming interested in Differential Item Functioning (DIF) forimproving the validity of test and scale interpretations. Among the statistical procedures availableto assess DIF in dichotomous and polytomous items, the Mantel-Haenszel chi-square (1959) andother standardization proceduresmay beparticularly attractive to ...
Andrés González +4 more
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Practitioners are increasingly becoming interested in Differential Item Functioning (DIF) forimproving the validity of test and scale interpretations. Among the statistical procedures availableto assess DIF in dichotomous and polytomous items, the Mantel-Haenszel chi-square (1959) andother standardization proceduresmay beparticularly attractive to ...
Andrés González +4 more
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The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning
Educational and Psychological Measurement, 2012The DIF-free-then-DIF (DFTD) strategy consists of two steps: (a) select a set of items that are the most likely to be DIF-free and (b) assess the other items for DIF (differential item functioning) using the designated items as anchors. The rank-based method together with the computer software IRTLRDIF can select a set of DIF-free polytomous items very
Wen-Chung Wang +2 more
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DIF Algorithms for DCT and DST
ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005Decimation-In-Frequency (DIF) algorithms for a family of discrete cosine and sine transforms (DCT) and (DST) are systematically developed, based on a radix-2 factorization of the transformation matrices. The results indicate these to be viable alternatives to existing algorithms for the calculation of these discrete transforms.
Patrick C. Yip, Kamisetty Ramamohan Rao
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Functional DIF for Rapid Prototyping
2008 The 19th IEEE/IFIP International Symposium on Rapid System Prototyping, 2008Dataflow formalisms have provided designers of digital signal processing systems with optimizations and guarantees to arrive at quality prototypes quickly. As system complexity increases, designers are expressing more types of behavior in dataflow languages to retain these implementation benefits.
William Plishker +4 more
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Journal of Educational Measurement, 2001
Differential Item Functioning (DIF) is traditionally used to identify different item performance patterns between intact groups, most commonly involving race or sex comparisons. This study advocates expanding the utility of DIF as a step in construct validation.
Cindy M. Walker, S. Natasha Beretvas
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Differential Item Functioning (DIF) is traditionally used to identify different item performance patterns between intact groups, most commonly involving race or sex comparisons. This study advocates expanding the utility of DIF as a step in construct validation.
Cindy M. Walker, S. Natasha Beretvas
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Impact of unbalanced DIF item proportions on group-specific DIF identification
Communications in Statistics - Theory and Methods, 2018AbstractDifferences in type I error and power rates for majority and minority groups are investigated when differential item functioning (DIF) contamination in a test is unbalanced.
Ronna C. Turner, Elizabeth A. Keiffer
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Uniform DIF and DIF Defined by Differences in Item Response Functions
Journal of Educational and Behavioral Statistics, 1998Uniform differential item functioning (DIF) exists when the statistical relationship between item response and group is constant for all levels of a matching variable. Two other types of DIF are defined based on differences in item response functions (IRFs) among the groups of examinees: unidirectional DIF (the IRFs do not cross) and parallel DIF (the ...
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