Family income questions in general purpose surveys are usually collected with either a single-question summary design or a multiple-question disaggregation design. It is unclear how estimates from the two approaches agree with each other. The current paper takes advantage of a large-scale survey that has collected family income with both methods.…

In this study, the accuracy of the artificial neural network (ANN) was assessed considering the uncertainties associated with the randomness of the data and the lack of learning. The Monte-Carlo algorithm was applied to simulate the randomness of the input variables and evaluate the output distribution. It has been shown that under certain…

Influence from bias is unavoidable in clinical decision-making, and mental health assessment seems particularly vulnerable. Individuals with intellectual disabilities have increased risk of developing co-occurring mental disorder. Due to the inherent difficulties associated with intellectual disabilities, assessment of mental health in this…

As colleges and universities seek to invigorate ethics education, they need methods to identify where and describe how ethics is already present across their curricula. Meeting this need is complicated by the fact that much ethics education occurs in courses not explicitly focused on ethics or morality. In this paper, we review recent…

To meet accreditation expectations, teacher preparation programs must demonstrate their candidates are evaluated using summative assessment tools that yield sound, reliable, and valid data. These tools are primarily used by the clinical experience team -- university supervisors and mentor teachers. Institutional beliefs regarding best practices…

This study, grounded in a phenomenological exploration, investigates whether current teacher evaluation methods account for subjectivism in teaching, learning, and evaluation within the context of Georgia's Teacher Keys Effectiveness System TKES. Through focus groups with instructional evaluators IEs, the study reveals the significant impact of…

Work-integrated learning (WIL) is a formal program for student teachers to practice teaching in an authentic learning environment. Assessment of this program can bring conflicts between student teachers and assessors. This empirical study undertaken in South Africa discusses student teachers' participation in the assessment of their WIL. The study…

Participatory research can be promoted by scientific intermediary units, such as Science Shops. The overarching goal of these initiatives is thereby to foster a process of co-creation of the research questions to address societal needs that are relevant to scientific research and society at large. The InSPIRES project was a Horizon Europe…

Appraisal processes are a requirement for professionals working in the education sector. Often appraisal processes do not focus on strengths, rather, it becomes a process of meeting pre-determined requirements. This article takes a strength-based approach to appraisal and discusses a study which pilots the use of an Appreciative Growth Cycle…

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and…

We present a bias-adjusted three-step estimation approach for multilevel latent class models (LC) with covariates. The proposed approach involves (1) fitting a single-level measurement model while ignoring the multilevel structure, (2) assigning units to latent classes, and (3) fitting the multilevel model with the covariates while controlling for…

Some states have attempted to streamline the process of providing prior learning assessment (PLA), also referred to as credit for prior learning (CPL), for work and life experiences. In terms of enrollment management, colleges nationwide look to increase student enrollment and positively impact attrition. Credit for work experience could have a…

The visual analysis of data presented in time-series graphs are common in single-case design (SCD) research and applied practice in school psychology. A growing body of research suggests that visual analysts' ratings are often influenced by construct-irrelevant features including Y-axis truncation and compression of the number of data points per…

In order to provide clinical utility for research of how art therapists perceive clients' inner change, the authors created a structured observational framework. This note-taking and assessment consist of five themes and sub-themes: Therapeutic Alliance, Creating, Affect-Awareness, Self-Awareness, and Ego-Strength. The framework was designed to be…

Missing data are a pervasive problem in data analysis. Three common methods for addressing the problem are (a) complete-case analysis, where only units that are complete on the variables in an analysis are included; (b) weighting, where the complete cases are weighted by the inverse of an estimate of the probability of being complete; and (c)…