The growing number of peer assessment studies in the last decades created diverse design options for researchers and teachers to implement peer assessment. However, it is still unknown if there are more commonly used peer assessment formats and design elements that could be considered when designing peer assessment activities in educational…

Researchers often have hypotheses concerning the state of affairs in the population from which they sampled their data to compare group means. The classical frequentist approach provides one way of carrying out hypothesis testing using ANOVA to state the null hypothesis that there is no difference in the means and proceed with multiple comparisons…

In selected-response assessments such as attitude surveys with Likert-type rating scales, examinees often select from rating scale categories to reflect their locations on a construct. Researchers have observed that some examinees exhibit "response styles," which are systematic patterns of responses in which examinees are more likely to…

Learning to interpret data in context is an important educational outcome. To assess students' attainment of this outcome, it is necessary to examine the interplay between their contextual and statistical reasoning. We describe a research method designed to do so. The method draws upon Toulmin's (1958, 2003) model of argumentation for the first…

Although assessments are a staple feature in education, student voices tend to be undervalued throughout the process. While students are a major stakeholder, this study adopted a mixed-methods strategy to examine the views of tertiary students on assessment types with regards to their preferences, self-rated performance and perceived…

Curiosity is one of the most important characters for elementary school students. However, the facts in the field show that the measurement model used by the teacher to identify the student's curiosity is not yet available in a standardized manner. This study aims to develop a model for measuring the curiosity of elementary school students using…

Component network meta-analysis (CNMA) compares treatments comprising multiple components and estimates the effects of individual components. For network meta-analysis, a standard network plot with nodes for treatments and edges for direct comparisons between treatments is drawn to visualize the evidence structure and the connections between…

CIPP, which stands for Context, Input, Process and Product, an evaluation model, is one of the most widely applied curriculum evaluation models in education. This document-based study sought to determine the historical development of CIPP as a curriculum evaluation model. Here, the reasons why the CIPP evaluation model was conceptualised are…

With some of the propositions from the literature on 'policy enactments' as a backdrop, this paper addresses the circulation of a research policy innovation and its effects on the knowledge territory of an unlikely profession. Specifically, I show how the Research Excellence Frameworks' impact policy in the UK was an object first managed by…

Back random responding (BRR) behavior is one of the commonly observed careless response behaviors. Accurately detecting BRR behavior can improve test validities. Yu and Cheng (2019) showed that the change point analysis (CPA) procedure based on weighted residual (CPA-WR) performed well in detecting BRR. Compared with the CPA procedure, the…

While the COVID-19 pandemic significantly impacted the higher education sector, it also provided opportunities for accounting academics to rethink their assessment strategy. This paper adds to the limited literature which has reported on how accounting academics responded to such an opportunity. Drawing on Freire's dialogical education theory as…

The rapid evolution of digital technologies and computer sciences is ushering society into a technologically driven future where machines continually advance to meet human needs and enhance their own intelligence. Among these groundbreaking innovations, Artificial Intelligence (AI) is a cornerstone technology with far-reaching implications. This…

In conducting confirmatory factor analysis with ordered response items, the literature suggests that when the number of responses is five and item skewness (IS) is approximately normal, researchers can employ maximum likelihood with robust standard errors (MLR). However, MLR can yield biased factor loadings (FL) and FL standard errors (FLSE) when…

Evaluations are considered of key importance for a well-functioning democracy. Against this background, it is vital to assess whether and how evaluation models approach the role of citizens. This paper is the first in presenting a review of citizen involvement in the main evaluation models which are commonly distinguished in the field. We present…

Adult learning policies need to be based on an understanding of the inequalities in the uptake and benefits of learning and why adults might not participate. This needs to go beyond a mere insight in barriers that, once removed, do no longer provide a reason for adults not to participate. This article aims to delph deeper in understanding what…