Background: Researchers regularly must decide what information is necessary to understand school climate and how to include climate in a study. For example, which factors and/or scales should be used, is using just 1 scale for school climate sufficient, and to what extent does the selection of a single scale influence the research findings? Aims:…

Several disciplines have developed quantitative measures for systemic oppression against queer and trans people, including psychology, criminal justice, and gender and sexuality studies. These instruments can have wide-ranging influence on other fields, including higher education research. To explore how these studies operationalize queer and…

Free-listing is a quick, semi-quantitative methodology commonly used by anthropologists to uncover information within a cultural domain. In this method note, we review how anthropologists have used free-listing in a variety of research settings. We then apply the social-ecological framework to describe how free-listing can be used for formative,…

This study builds on the simulation framework of a recent paper by Stanley and Doucouliagos ("Research Synthesis Methods" 2023;14;515--519). S&D use simulations to make the argument that meta-analyses using partial correlation coefficients (PCCs) should employ a "suboptimal" estimator of the PCC standard error when…

As the importance of student self-regulated learning (SRL) among school-aged populations continues to increase, there is an emerging need for school psychologists and other school professionals to develop the knowledge and skills to effectively assess this process. The current paper provides a conceptual and empirical overview of a multimethod SRL…

Background: The Group Climate Inventory (GCI) was tested for measurement invariance across 332 adults with and 225 adults without mild intellectual disabilities in Dutch forensic treatment, and for latent mean differences on its "Support", "Growth", "Repression", and "Atmosphere" subscales. Method:…

When randomized control trials are not possible, quasi-experimental methods often represent the gold standard. One quasi-experimental method is difference-in-difference (DiD), which compares changes in outcomes before and after treatment across groups to estimate a causal effect. DiD researchers often use fairly exhaustive robustness checks to…

School-based service providers must understand how to best measure academic skill development given its key role in improving long-term outcomes for individuals with autism spectrum disorder (ASD). Curriculum-based measurement (CBM), which has applications for foundational academic skill areas of reading, writing, and mathematics, may be one way…

The purpose was to evaluate reliability of measurements during drop jump (DJ) and magnitude of differences in vertical jump height (VJH) when calculated using two variables: time-in-the-air and center-of-mass velocity. Thirty-seven handball players performed three single-leg and double-leg DJs on a portable force plate during two sessions. Sixteen…

Identifying items with differential item functioning (DIF) in an assessment is a crucial step for achieving equitable measurement. One critical issue that has not been fully addressed with existing studies is how DIF items can be detected when data are multilevel. In the present study, we introduced a Lord's Wald X[superscript 2] test-based…

Background: Dementia is a cognitive decline that leads to the progressive deterioration of an individual's ability to perform daily activities independently. As a result, a considerable amount of time and resources are spent on caretaking. Early detection of dementia can significantly reduce the effort and resources needed for caretaking. Aims:…

Although equality of opportunity in education is a current and important issue, most of the studies on this subject are based on theoretical studies rather than empirical studies. The main reason for this can be said to be the lack of a valid and reliable measurement tool in this field. For this reason, this study aims to develop a valid and…

While there are many different types of education data, policymakers and education leaders often place heavy emphasis on data from large-scale quantitative measures, such as annual state assessments. But data from these sources alone do not provide a complete picture of learning and are often not well suited to informing improvements at the local…

A standard assumption of latent class (LC) analysis is conditional independence, that is the items of the LC are independent of the covariates given the LCs. Several approaches have been proposed for identifying violations of this assumption. The recently proposed likelihood ratio approach is compared to residual statistics (bivariate residuals…

Background: Measuring students' self-regulation skills is essential to understand how they approach their learning tasks in order to identify areas where they might need additional support. Traditionally, self-report questionnaires and think aloud protocols have been used to measure self-regulated learning skills (SRL). However, these methods are…