The development of new statistical models for the meta-analysis of diagnostic test accuracy studies is still an ongoing field of research, especially with respect to summary receiver operating characteristic (ROC) curves. In the recently published updated version of the "Cochrane Handbook for Systematic Reviews of Diagnostic Test…

Internalizing and externalizing problems are common targets for school mental health screening. Prior research supports the interpretation of scores from the Youth Internalizing Problems Screener (YIPS) and the Youth Externalizing Problems Screener (YEPS), which were developed separately yet intended as companion measures. We extended previous…

Background: Auditory-perceptual assessment of voice is a subjective procedure. Artificial intelligence with deep learning (DL) may improve the consistency and accessibility of this task. It is unclear how a DL model performs on different acoustic features. Aims: To develop a generalizable DL framework for identifying dysphonia using a…

When performing a systematic review, researchers screen the articles retrieved after a broad search strategy one by one, which is time-consuming. Computerised support of this screening process has been applied with varying success. This is partly due to the dependency on large amounts of data to develop models that predict inclusion. In this…

Behavioral and emotional disorders in childhood can have lasting impacts in areas such as education and future employment, often extending into adulthood. Identifying the potential disorders in children's early grades is beneficial to provide proactive assistance. In this study, we employed a well-validated scale - the Strengths and Difficulties…

The dual-factor model (DFM) of mental health affords educators an expanded view of student social-emotional and behavioral functioning and may help identify students in need of school-based mental health services who would otherwise go unnoticed with traditional screening methods. With a focus on integrating subjective well-being into the…

Objective: This study examines the validity of the ASRS-5 as a new screening tool for ADHD and evaluates its proposed screening cut-off in a general population context. Method: A nationally representative sample of 2,002 individuals aged 18 to 80 years was surveyed using the ASRS-5, with complete data obtained from 714 participants. Psychometric…

At present, there are no brief, freely-available, informant-report measures that evaluate key challenging behaviors relevant to youth with autism spectrum disorder (ASD) or other developmental disabilities (DD). This paper describes the development, refinement, and initial psychometric evaluation of a new 18-item measure, the Open-Source…

This study examined the effectiveness of the "Thrive by Three" intervention for 1- to 3-year-old's language development. Data from 78 childcare centres, 187 toddler classrooms, and 1561 children (91.4% native Norwegian) were included. Results revealed that children in the intervention group had slightly steeper language development than…

Bayesian latent change score modeling (LCSM) was used to compare models of triannual (fall, winter, spring) change on elementary math computation and concepts/applications curriculum-based measures. Data were collected from elementary students in Grades 2-5, approximately 700 to 850 students in each grade (47%-54% female; 78%-79% White, 10%-11%…

When conducting universal social and emotional learning (SEL) screening, schools need clear decision-making guidelines for selecting informants. The current study examined informant profiles for screening SEL functioning using latent profile analysis with the student and teacher forms of the SSIS SEL Brief Scales for 536 students in grades 3-7.…

Social-emotional competence is important for children's lifelong positive developmental outcomes. The dimensionality and psychometric properties of a widely used social-emotional assessment, the Ages & Stages Questionnaires: Social-Emotional Second Edition (ASQ:SE-2), were investigated in this study using item response theory models. A…

Diagnostic test accuracy studies frequently report on sensitivities and specificities for more than one threshold of the diagnostic test under study. Although it is obvious that the information from all thresholds should be used for a meta-analysis, in practice, frequently, only a single pair of sensitivity and specificity is selected. To overcome…

The present article aims to show how to model longitudinal change in cohort sequential data applying latent true change models using Mplus' multi-group approach. The underlying modeling ideas are described and explained in this article. As an example, change in internalizing problem behaviors between the age of 8 and 13 years is modeled and…

Bilingual children demonstrate varying levels of proficiency in each of the two languages to which they are exposed. Even though it is widely acknowledged that bilingual children are not a homogenous group, existing studies on dual-language profiles in bilingual children have focused on expressive language profiles. In this study, we used the…