References of "Monseur, Christian"
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See detailThe contribution of Multidimensional IRT for modeling applicants performance on a SJT.
Lothe, Benoit ULg; Monseur, Christian ULg; Hansez, Isabelle ULg

Poster (2013, May)

Situational judgment tests (SJTs) are testing methods often used in Personnel Selection to appraise different constructs (Whetzel & McDaniel, 2009). In the framework of an overall career progression ... [more ▼]

Situational judgment tests (SJTs) are testing methods often used in Personnel Selection to appraise different constructs (Whetzel & McDaniel, 2009). In the framework of an overall career progression program in a Public Administration, SJTs were developed to assess several competencies relevant to both task (e.g. planning, managing, etc.) and contextual performance (e.g. helping behaviour, organizational loyalty, etc.). Each competency is a combination of KSAOs needed to perform efficiently in a specific context (Campion & al., 2012; Le Boterf 2008). Given the lack of internal consistency of SJT and the dichotomous nature of the data, we decide to use Multidimensional Item Response Theory (MIRT) model to examine the issue of construct validity. Based on Hartig & Höhler (2009), we use MIRT compensatory model to estimate the latent covariance structures of the SJT. Different model are tested and compared depending on the number of dimension involved, the nature of the items and latent variables relation (between or within-item multidimensionality) and the number of model parameter (one or two parameter model). The results and findings lead us to discuss some implications (gaining accuracy, modeling performance in complex task, etc.) and limitations (dealing with complex loading structure, etc.) of using IRT, over and above classical test theory, in the specific case of SJTs applicants performance. The originality of this communication also lies in the way we addressed SJTs reliability and construct validity issues with a measurement based model that differs from the one usually used in the field. [less ▲]

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See detailAn overview of statistical methods to assess differential item functioning and differential test functioning
Magis, David ULg; Monseur, Christian ULg

Scientific conference (2013, February 12)

This talk broadly focuses on the identification of differential item functioning (DIF) and differential test functioning (DTF). After a short introduction of the key concepts, most-known methods to detect ... [more ▼]

This talk broadly focuses on the identification of differential item functioning (DIF) and differential test functioning (DTF). After a short introduction of the key concepts, most-known methods to detect DIF and DTF with dichotomously or polytomously scored items, and between two or more than two groups, are presented. Both parametric (i.e. IRT) and nonparametric (i.e. score-based) methods are described in a non-technical way. Several potential applications to PISA surveys are discussed. [less ▲]

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See detailHow does engagement in reading predict digital reading proficiency among 15 year-olds?
Lafontaine, Dominique ULg; Monseur, Christian ULg; Baye, Ariane ULg

Conference (2012, September)

In PISA 2009, 19 countries took part to an optional assessment of digital reading. In each country, a subsample of 15 year-olds was administered not only the paper and pencil PISA test, but also different ... [more ▼]

In PISA 2009, 19 countries took part to an optional assessment of digital reading. In each country, a subsample of 15 year-olds was administered not only the paper and pencil PISA test, but also different reading tasks online. The aim of our study is to investigate the relationships between engagement in reading, especially online reading practices, and digital reading proficiency of 15 year-olds in the 11 European countries which took part to this option (11 out of 19). [less ▲]

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See detailSocial Inequalities of Post-secondary Educational Aspirations : influence of social background, school composition and institutional context
DUPRIEZ, Vincent; Monseur, Christian ULg; VAN CAMPENHOUDT, Maud et al

in European Educational Research Journal (2012), 11(4), 504-519

The first goal of this article is to assess, for each country belonging to the Organisation for Economic Co-operation and Development (OECD), the influence of pupils’ sociocultural background on ... [more ▼]

The first goal of this article is to assess, for each country belonging to the Organisation for Economic Co-operation and Development (OECD), the influence of pupils’ sociocultural background on educational aspirations. The second goal is to explore whether, after controlling for educational achievement, the residual influence of sociocultural background is still significant. In addition, the author estimates whether the sociocultural and academic characteristics of school composition have an additional impact on educational aspirations in this group of countries. Finally, they shows that the structural characteristics of school systems moderate the influence of individual characteristics and school composition on educational aspirations. [less ▲]

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See detailLe poids de l'origine socio-culturelle des élèves et leur environnement scolaire sur leurs aspirations d'études supérieures : les bases d'une comparaison internationale
Dupriez, Vincent; Monseur, Christian ULg; Van Campenhoud, Maud

in Orientation Scolaire et Professionnelle (L') [=OSP] (2012), 41(1), 29-56

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See detailDes parcours scolaires émaillés de discriminations
Lafontaine, Dominique ULg; Felouzis, Georges; Crahay, Marcel ULg et al

in Crahay, Marcel (Ed.) Pour une école juste et efficace (2012)

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See detailPISA Student Non Response Adjustment Procedures
Rust, K.; Krawchuk, S.; Monseur, Christian ULg

in Prenzel, M.; Kobarg, M.; Schöps, S. (Eds.) et al Research in the context of Programme for International Student Assessment (2012)

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See detailStructure des systèmes éducatifs et équité : un éclairage international
Monseur, Christian ULg; Lafontaine, Dominique ULg

in Crahay, Marcel (Ed.) Pour une école juste et efficace (2012)

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See detailGender differences in Variability and Extreme Scores
Baye, Ariane ULg; Lafontaine, Dominique ULg; Monseur, Christian ULg

Conference (2011, September 15)

This study examines academic gender differences in variance and at the extreme tails of score distributions in reading, mathematics and science. Ten databases from IEA and PISA were used to analyse such ... [more ▼]

This study examines academic gender differences in variance and at the extreme tails of score distributions in reading, mathematics and science. Ten databases from IEA and PISA were used to analyse such gender differences in an international perspective from 1995 to 2009. Differences in standard deviation, effect size and variance ratios were computed. The main results may be summarised as follows. The gender differences at the extreme tails of the distribution are often more substantial than the gender differences at the mean, which may suggest the need to rethink education policies for low-achieving boys in reading and for high-achieving girls in mathematics and science. The “greater male variability hypothesis” is confirmed, although our results suggest that this may depend on the test content, the study design and the computed statistics. [less ▲]

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See detailLa lecture électronique à 15 ans. Premiers résultats PISA 2009
Baye, Ariane ULg; Quittre, Valérie ULg; Monseur, Christian ULg et al

in Cahiers des Sciences de l'Education (Les) (2011)

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See detailPISA test format assessment and the local independence assumption
Monseur, Christian ULg; Baye, Ariane ULg; Lafontaine, Dominique ULg et al

in Ieri Monographs Series. Issues and Methodologies in Large-Scale assessments. (2011), 4

Detailed reference viewed: 58 (9 ULg)
See detailRelationships between reading performance, student background, engagement and reading strategies
Lafontaine, Dominique ULg; Monseur, Christian ULg

in mendelovits, juliette (Ed.) PISA 2009 Results: Students on line. Digital Technologies and Performance. (2011)

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See detailLa lecture à 15 ans. Premiers résultats de PISA 2009
Baye, Ariane ULg; Demonty, Isabelle ULg; Lafontaine, Dominique ULg et al

in Cahiers des Sciences de l'Education (Les) (2010)

Detailed reference viewed: 119 (33 ULg)