A multivariate analysis in detecting differentially functioning items through the use of Programme for Internetional Student Assessment (PISA) 2003 mathematics literacy items

Download

index.pdf

Date

2006

Author

Çet, Selda

Metadata

Show full item record

Item Usage Stats

55
views

26
downloads

Differential Item Functioning Analyses investigates whether individuals with same ability in different groups also show similar performance on an item. In matching the individuals of the same ability, most of the methodologies use total scores of the tests which are usually constructed to be unidimensional. th purpose of the present study is evaluating the PISA 2003 mathematics literacy items through the use of DIF methodology which uses a multidimensional approach in matching students instead of single total score, improve the matching for DIF analyses. In the study factor structure of the tests will be determeined via both exploratory and confirmatory analyses in a complimentary fashion. then DIF analyses conducted using Logistic regression (LR) and Mantel -Haenszel methods.Analyses showed that the matching criterion improved when multivariate analyses were used. the number of DIF items was decreased when the matching criterion is defined based on multiple criterion scores such as mathematical literacy and problem solving scores or two different mathematical literacy subtest score. In addition, qualitative reviews and examination of the distribution of DIF items by content categories, cognitive demands, item types,item text, visual-spatial factors and linguistic properties of items were analyzed to explain the differential performance. Curriculum, cultural and translation differences were the main criteria for the qualitative analyses of DIF items. The results imply that curriculum and translation differences in items might be causing the DIF across Turkish and English versions of the tests.

Subject Keywords

Science, Mathematical ability

URI

http://etd.lib.metu.edu.tr/upload/12607157/index.pdf
https://hdl.handle.net/11511/16566

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

An information theoretic approach to select alternate subsets of predictors for data-driven hydrological models TAORMİNA, RİCCARDO; GALELLİ, STEFANO; Karakaya, Gülşah; Ahipasaoglu, S. D. (Elsevier BV, 2016-11-01) This work investigates the uncertainty associated to the presence of multiple subsets of predictors yielding data-driven models with the same, or similar, predictive accuracy. To handle this uncertainty effectively, we introduce a novel input variable selection algorithm, called Wrapper for Quasi Equally Informative Subset Selection (W-QEISS), specifically conceived to identify all alternate subsets of predictors in a given dataset. The search process is based on a four-objective optimization problem that m...
A comparative stationarity analysis of EEG signals RASOULZADEH, VESAL; Erkuş, Ekin Can; Yoğurt, Taha Alper; Ulusoy, İlkay; Zergeroglu, S. Aykan (2017-11-01) While developing models of brain functioning by using time series data, the stationary interval of the time series should be used to model the corresponding state of the brain. Here it is assumed that at the borders of stationarity, brain changes its state where a state is considered as a group of brain regions working together. If the whole nonstationary time series is used, many different brain states could be included in one model. However, it is very hard to decide the stationary intervals for such a co...
On the dynamics of singular continuous systems Güler, Y (1989-04-01) The Hamilton–Jacobi theory of a special type of singular continuous systems is investigated by the equivalent Lagrangians method. The Hamiltonian is constructed in such a way that the constraint equations are involved in the canonical equations implicitly. The Hamilton–Jacobi partial differential equation is set up in a similar manner to the regular case
A unified view of rank-based decision combination Saranlı, Afşar (2000-09-07) This study presents a theoretical investigation of the rank-based multiple classifier decision problem for closed-set pattern classification. The case with classifier raw outputs in the form of candidate class rankings is considered and formulated as a discrete optimization problem with the objective function being the total probability of correct decision. The problem has a global optimum solution but is of prohibitive dimensionality. We present a partitioning formalism under which this dimensionality can ...
A COMPARATIVE-STUDY OF VARIATIONAL TECHNIQUES FOR SCHRODINGER-EQUATIONS - POINTWISE QUALITY CRITERIA YURTSEVER, E (Walter de Gruyter GmbH, 1988-08-01) Different variational schemes for solving the Schrodinger equation are tested for the model potential of Kratzer-Fues. Wavefunctions are analyzed in terms of their global (expectation values) and local properties which are expressed as functions of coordinates. The Rayleigh-Ritz variation almost uniformly produces the most accurate expectation values. However the point properties show qualitatively different behaviour for different regions of the coordinate space. To define the local quality, a set of crite...

Citation Formats

S. Çet, “A multivariate analysis in detecting differentially functioning items through the use of Programme for Internetional Student Assessment (PISA) 2003 mathematics literacy items,” Ph.D. - Doctoral Program, Middle East Technical University, 2006.