Many emotion regulation assessments have been developed for research purposes, but few are frequently used in schools despite the rapid growth of social and emotional learning programs with an explicit focus on emotion regulation in schools. This systematic review provides an overview of emotion regulation assessments that have been utilized with…

The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…

Recent research on curriculum-based measurement of oral reading fluency has revealed important issues in current passage development procedures, highlighting how dissimilar passages are problematic for monitoring student progress. The purpose of this paper is to describe statistical equating as an option for achieving equivalent scores across…

There is a lack of research on the effects of outliers on the decisions about the number of factors to retain in an exploratory factor analysis, especially for outliers arising from unintended and unknowingly included subpopulations. The purpose of the present research was to investigate how outliers from an unintended and unknowingly included…

This paper is about a design-based research project which evaluated the novel use of Lesson Study for assessment (LSfA) purposes. It starts by explaining the principles and design of LSfA procedures based on a Lesson Study model and dynamic assessment principles. It outlines the training and support provided to six Lesson Study teams in three…

Research methods teaching in psychology is pivotal in preparing students for the transition from student as learner to independent practitioner. We took an action research approach to re-design, implement and evaluate a module guiding students through a programmatic and pragmatic research cycle. These revisions allow students to experience how…

Though ubiquitous, Likert scaling's traditional mode of analysis is often unable to uncover all of the valid information in a data set. Here, the authors discuss a solution to this problem based on methodology developed by quantum physicists: the state multipole method. The authors demonstrate the relative ease and value of this method by…

This article considers various approaches to consulting primary pupils about mathematics. This is done first through a literature review and second by drawing on our experience of designing and piloting pupil consultation in collaboration with staff in one primary school. Our concern is with the utility and drawbacks of the methods used rather…

This special section was inspired by the recent increased interest and methodological advances in the assessment of context-specificity in child and adolescent social development. While the effects of groups, situations, and social relationships on cognitive, affective and behavioral development have long been acknowledged in theoretical…

A method is presented for marginal maximum likelihood estimation of the nonlinear random coefficient model when the response function has some linear parameters. This is done by writing the marginal distribution of the repeated measures as a conditional distribution of the response given the nonlinear random effects. The resulting distribution…

The purpose of this study is to examine the interactions among measurement theories, writing theories, and writing assessments in the United States from an historical perspective. The assessment of writing provides a useful framework for examining how theories influence, and in some cases fail to influence actual practice. Two research traditions…

A common question in test evaluation is whether an a priori assignment of items to subtests is supported by empirical data. If the analysis results indicate the assignment of items to subtests under study is not supported by data, the assignment is often adjusted. In this study the authors compare two methods on the quality of their suggestions to…

When using linear models for cluster-correlated or longitudinal data, a common modeling practice is to begin by fitting a relatively simple model and then to increase the model complexity in steps. New predictors might be added to the model, or a more complex covariance structure might be specified for the observations. When fitting models for…

In their seminal paper, Edwards and Parry (1993) presented the polynomial regression as a better alternative to applying difference score in the study of congruence. Although this method is increasingly applied in congruence research, its complexity relative to other methods for assessing congruence (e.g., difference score methods) was one of the…

Reliability captures the influence of error on a measurement and, in the classical setting, is defined as one minus the ratio of the error variance to the total variance. Laenen, Alonso, and Molenberghs ("Psychometrika" 73:443-448, 2007) proposed an axiomatic definition of reliability and introduced the R[subscript T] coefficient, a measure of…