2001
DOI: 10.1037/h0087124
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Validity of performance assessment in mathematics for early adolescents.

Abstract: This study reports validity evidence for a large-scale and "low-stakes" performance assessment involving 905 Grade 8 students. A subsample of 198 students was used to study the relationship of performance measures with conventional achievement and affective measures. Confirmatory factor analysis indicated that the eight math performance tasks were unidimensional. Generalizability and dependability coefficients were .72 and .68, respectively. Also provided is other empirical validity evidence. Performance score… Show more

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Cited by 3 publications
(2 citation statements)
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“…Canadian data reported in Programme for International Student Assessment (PISA) found a male achievement advantage in 1999 (Edgerton, Peter, & Roberts, 2008) and in 2003 (Bassani, 2008; Else‐Quest et al., 2010). But studies using samples drawn from single Canadian provinces show a trivial male advantage, typically around .05 standard deviations ( SD s), or no difference at all (Lloyd et al., 2005; Ma & Klinger, 2000; Randhawa & Hunter, 2001; Rogers et al., 2006; Ross & Kostuch, 2011; Stringer & Heath, 2008).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Canadian data reported in Programme for International Student Assessment (PISA) found a male achievement advantage in 1999 (Edgerton, Peter, & Roberts, 2008) and in 2003 (Bassani, 2008; Else‐Quest et al., 2010). But studies using samples drawn from single Canadian provinces show a trivial male advantage, typically around .05 standard deviations ( SD s), or no difference at all (Lloyd et al., 2005; Ma & Klinger, 2000; Randhawa & Hunter, 2001; Rogers et al., 2006; Ross & Kostuch, 2011; Stringer & Heath, 2008).…”
Section: Literature Reviewmentioning
confidence: 99%
“…En comparant son importance relative à celle des autres sources de variation, les résultats du tableau 8 montrent que sa valeur (0,01571) représente 79 % de la variance d'erreur relative et 54 % de la variance d'erreur absolue. La source d'erreur la plus importante après (Lane, Liu, Ankenmann, & Stone, 1996;Randhawa & Hunter, 2001;Shavelson, Baxter, & Gao, 1993), soulève une inquiétude au sujet de la méthodologie de l'évaluation : le rendement des élèves varierait d'un problème à l'autre, et ce, indépendam-ment de leur habileté à déterminer le résultat d'une chaîne d'opérations et du degré de difficulté des problèmes à résoudre. Dans ce contexte, il devient alors souhaitable, comme l'a suggéré l'étude d'optimisation, de recourir à un nombre plus élevé de problèmes que n'en contient le dispositif d'évaluation pour évaluer l'habileté des élèves à déterminer le résul-tat d'une chaîne d'opérations.…”
Section: éTude De Généralisabilitéunclassified