A primary math activity teaches students counting and classifying using a book about a mother and child who tour a farm at midnight. An intermediate math activity teaches logical reasoning through a story problem in which students must use information from a story to figure out an answer. (SM)

A five-year follow-up of arithmetic calculation abilities of 10 low-income fourth graders with specific language impairment (SLI) involved comparisons with typically developing same age peers and with typically developing younger subjects. Results support evidence that children with SLI have difficulty with rote memory and document the…

Compares two groups of preschool children to assess the effect of children's counting ability on their ability to reason about numbers. Describes the research design and the set of expected possible outcomes. Reports results in light of these predictions, concluding that counting ability is not necessary for number-relevant operations. (DSK)

Tested 3- to 7-year-olds' ability to calculate with whole numbers, fractions, and mixed-numbers, in a task in which an amount was displayed, then hidden. Subjects were to determine the hidden amount resulting when numbers were added or substracted. Found that, although fraction problems were more difficult than whole-number problems, competence on…

In this article, a maximum likelihood approach is developed to analyze structural equation models with dichotomous variables that are common in behavioral, psychological and social research. To assess nonlinear causal effects among the latent variables, the structural equation in the model is defined by a nonlinear function. The basic idea of the…

This article provides the readers with a hands-on activity that incorporates measuring skills and Process Standards while investigating a linear function that is easily generated in any classroom. (Contains 6 figures.)

In this article, the author talks about an inquiry-based activity involving yeast, wherein students learned about cell size. The activity allows students to employ math connections and to learn experimental techniques while practicing microscope skills. The activity can be adapted for students at all levels of biology. The author presents details…

This article examines the intersection of psychometrics and sociolinguists in the testing of English language learners (ELLs); it discusses language, dialect, and register as sources of measurement error. Research findings show that the dialect of the language in which students are tested (e.g., local or standard English) is as important as…

Under a multidimensional item response theory (MIRT) computerized adaptive testing (CAT) testing scenario, a trait estimate (theta) in one dimension will provide clues for subsequently seeking a solution in other dimensions. This feature may enhance the efficiency of MIRT CAT's item selection and its scoring algorithms compared with its…

Multilevel models are proven tools in social research for modeling complex, hierarchical systems. In multilevel modeling, statistical inference is based largely on quantification of random variables. This paper distinguishes among three types of random variables in multilevel modeling--model disturbances, random coefficients, and future response…

This paper provides a pragmatic view of efficient use of graphics calculators. Efficiency is described in terms of quick and easy calculation, as debated and evidenced in a Year 12 calculus class. Students' methods of calculation are analysed in terms of the algebraic understanding and technical skills that underpinned them. Patterns in students'…

The randomized response (RR) technique is often used to obtain answers on sensitive questions. A new method is developed to measure latent variables using the RR technique because direct questioning leads to biased results. Within the RR technique is the probability of the true response modeled by an item response theory (IRT) model. The RR…

Although differential item functioning (DIF) theory traditionally focuses on the behavior of individual items in two (or a few) specific groups, in educational measurement contexts, it is often plausible to regard the set of items as a random sample from a broader category. This article presents logistic mixed models that can be used to model…

The validity of inferences based on achievement test scores is dependent on the amount of effort that examinees put forth while taking the test. With low-stakes tests, for which this problem is particularly prevalent, there is a consequent need for psychometric models that can take into account differing levels of examinee effort. This article…

A well-established approach to modeling clustered data introduces random effects in the model of interest. Mixed-effects logistic regression models can be used to predict discrete outcome variables when observations are correlated. An extension of the mixed-effects logistic regression model is presented in which the dependent variable is a latent…