An individual competence is one of the main human resources, which enables a person to operate in everyday life. A competence profile, formally captured and described as a structured model, may enable various operations, e.g., a more precise evaluation and closure of a training gap. Such application scenarios supported by information systems are…

Numerous methods exist to determine the optimal number of classes when using latent profile analysis (LPA), but none are consistently correct. Recently, the likelihood incremental percentage per parameter (LI3P) was proposed as a model effect-size measure. To evaluate the LI3P more thoroughly, we simulated 50,000 datasets, manipulating factors…

Latent profile analysis (LPA) identifies heterogeneous subgroups based on continuous indicators that represent different dimensions. It is a common practice to measure each dimension using items, create composite or factor scores for each dimension, and use these scores as indicators of profiles in LPA. In this case, measurement models for…

Game designers and researchers have sought to create gameful environments that consider user preferences to increase engagement and motivation. In this sense, it is essential to identify the most suitable game elements for users' profiles. Designers and researchers must choose strategies to classify users into predefined profiles and select the…

Autism spectrum disorder (ASD) is characterized by impairments in many functional areas requiring long-term interventions to promote autonomy. This study aims to map The Sensory Profile™ 2 (SP-2), one of the most widely used assessment tools in children with ASD, with the International Classification of Functioning, Disability and Health for…

Social scientists are frequently interested in identifying latent subgroups within the population, based on a set of observed variables. One of the more common tools for this purpose is latent class analysis (LCA), which models a scenario involving k finite and mutually exclusive classes within the population. An alternative approach to this…

School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…

This research study holds practical significance for educators, school administrators, and mental health professionals. The study utilized structural equation modeling on two samples of elementary school students in grades three to five to create and validate condensed versions of the Social-Emotional Health Survey-Primary and the Me and My School…

This research aims to classify college students into meaningful groups based on their subjective financial knowledge (SFK), objective financial knowledge (OFK), and comparative financial knowledge (CFK) using Latent Profile Analysis (LPA). LPA captures underlying dynamics within the grouping variables and compares group differences. Results of LPA…

Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…

Preschool children considered at risk for future reading difficulties experience unique and complex combinations of risk factors. In this exploratory study, we used latent profile analysis (LPA) to investigate the underlying classifications of children identified as at-risk for reading difficulties (N = 281) along selected cognitive,…

The Wechsler Intelligence Scales for Children (WISC) are the most widely used instrument in assessing cognitive ability, especially with children with autism spectrum disorder (ASD). Previous literature on the WISC has demonstrated a divergent pattern of performance on the WISC for children ASD compared to their typically developing peers;…

Background: Current literature mainly focuses on adaptive profiles from a categorical perspective but yields inconclusive results. The present study puts a transdiagnostic approach next to a "classical" categorical approach. Methods: In this study, 222 children (5-18 years old) with autism and/or intellectual disability participated.…

We are encouraged by Cobb's (2022) description of changes to the Morpholex profiling tool (https://www.lextutor.ca/cgi-bin/morpho/lex/) resulting in more accurate word classifications. This addresses one point in our recent commentary on Morpholex and on Laufer and Cobb's (2020) study using Morpholex (McLean & Stoeckel, 2021). However, Cobb…

This study explores sex-differences in (a) rates and profiles of autism symptoms as well as in (b) the contribution of intellectual quotient (IQ) to autism symptom presentation in Down syndrome (DS). Participants were 40 males and 38 females with DS, aged 6 to 23 years. Autism symptoms were rated through the Autism Diagnostic Observation…