Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…

Prior reviews of evidence for the impact of formative assessment on student achievement suggest widely different estimates of formative assessment's effectiveness, ranging from 0.40 and 0.70 standard deviations in one review. The purpose of this study is to describe variability in the effectiveness of formative assessment for promoting student…

A key question facing teacher evaluation systems is how to combine multiple measures of complex constructs into composite indicators of performance. We use data from the Measures of Effective Teaching (MET) study to investigate the measurement properties of composite indicators obtained under various conjunctive, disjunctive (or complementary),…

Prior work shows that children can make inductive inferences about objects based on their labels rather than their appearance (Gelman, 2003). A separate line of research shows that children's trust in a speaker's label is selective. Children accept labels from a reliable speaker over an unreliable speaker (e.g., Koenig & Harris, 2005). In the…

How can humans acquire relational representations that enable analogical inference and other forms of high-level reasoning? Using comparative relations as a model domain, we explore the possibility that bottom-up learning mechanisms applied to objects coded as feature vectors can yield representations of relations sufficient to solve analogy…

Existing literature supports the inclusion of students in education reform, documenting benefits for both students and educators. When student voice is not included in reform efforts, these efforts are more likely to flounder. The emerging educational reform of data-driven decision making (DDDM) offers promise for increasing student achievement.…

Acquired equivalence is a paradigm in which generalization is increased between two superficially dissimilar stimuli (or antecedents) that have previously been associated with similar outcomes (or consequents). Several possible mechanisms have been proposed, including changes in stimulus representations, either in the form of added associations or…

Evaluative categories include items that share the same value-laden assessment. Given that these categories have not been examined extensively within the child concepts literature, the present research explored evaluative categorization and induction within the domain of food as a test case. Specifically, two studies examined the categories of…

This article demonstrates the potential of using hierarchical Bayesian methods to relate models and data in the cognitive sciences. This is done using a worked example that considers an existing model of category representation, the Varying Abstraction Model (VAM), which attempts to infer the representations people use from their behavior in…

In recent years there has been an increasing international interest in fine-grained diagnostic inferences on multiple skills for formative purposes. A successful provision of such inferences that support meaningful instructional decision-making requires (a) careful diagnostic assessment design coupled with (b) empirical support for the structure…

Five experiments involving 173 college students show that people frequently do not apply the category inclusion rule when evaluating categorical arguments involving natural categories and a single nonexplainable predicate. Judgments tended to be proportional to the similarity between premise and conclusion categories. (SLD)

Describes a performance-based assessment approach utilizing science activities and questions to assess different levels of thinking. Objectives, materials, and procedures are provided for the assessment of student skills in classification, observation and inference, interpretation, and analysis. (PR)

Assessments in English that are constructed for native English speakers may not provide valid inferences about the achievement of English language learners (ELLs). The linguistic complexity of the test items that are not related to the content of the assessment may increase the measurement error, thus reducing the reliability of the assessment.…