Results 181 to 190 of about 150,052 (235)
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An Examination of Item Context Effects, DIF, and Gender DIF

Applied Measurement in Education, 2001
This 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
openaire   +1 more source

DIF Algorithms for DCT and DST

ICASSP '85. IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005
Decimation-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
openaire   +2 more sources

The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning

Educational and Psychological Measurement, 2012
The 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
openaire   +1 more source

The Effect of Propensity Scores on DIF Analysis: Inference on the Potential Cause of DIF

International Journal of Testing, 2014
Differential item functioning (DIF) analysis is important in terms of test fairness. While DIF analyses have mainly been conducted with manifest grouping variables, such as gender or race/ethnicity, it has been recently claimed that not only the grouping variables but also contextual variables pertaining to examinees should be considered in DIF ...
HyeSun Lee, Kurt Geisinger
exaly   +2 more sources

Functional DIF for Rapid Prototyping

2008 The 19th IEEE/IFIP International Symposium on Rapid System Prototyping, 2008
Dataflow 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
openaire   +2 more sources

NodeGit : Diffing and Merging Node Graphs

ACM Transactions on Graphics, 2023
The use of version control is pervasive in collaborative software projects. Version control systems are based on two primary operations: diffing two versions to compute the change between them and merging two versions edited concurrently. Recent works provide solutions to diff and merge graphics assets such as images, meshes and scenes.
Rinaldi E., Sforza D., Pellacini F.
openaire   +2 more sources

An Empirical Investigation Demonstrating the Multidimensional DIF Paradigm: A Cognitive Explanation for DIF

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
openaire   +1 more source

Simultaneous DIF Amplification and Cancellation: Shealy‐Stout's Test for DIF

Journal of Educational Measurement, 1993
The present study investigates the phenomena of simultaneous DIF amplification and cancellation and SIBTEST's role in detecting such. A variety of simulated test data were generated for this purpose. In addition, real test data from various sources were analyzed.
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Impact of unbalanced DIF item proportions on group-specific DIF identification

Communications in Statistics - Theory and Methods, 2018
AbstractDifferences 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
openaire   +1 more source

Uniform DIF and DIF Defined by Differences in Item Response Functions

Journal of Educational and Behavioral Statistics, 1998
Uniform 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 ...
openaire   +1 more source

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