This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys -- APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys' documentation and compared their definitions,…

Background/Context: Confirmatory factor analysis (CFA) model is a commonly adopted framework to estimate and test a measurement model. Once a well-fitting final CFA model is selected, the selected model may be used to test structural relationships of the latent constructs with other variables, to construct a test with desired reliability and…

Small sample sizes contribute to several problems in research and knowledge advancement. This conceptual replication study confirmed and extended the inflation of type II errors and confidence intervals in correlation analyses of small sample sizes common in kinesiology/exercise science. Current population data (N = 18, 230, & 464) on four…

RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…

Although parallel analysis has been found to be an accurate method for determining the number of factors in many conditions with complete data, its application under missing data is limited. The existing literature recommends that, after using an appropriate multiple imputation method, researchers either apply parallel analysis to every imputed…

Outside of education, many academic disciplines developed and promulgated checklists to evaluate the quality of qualitative studies. This article used an embedded mixed methods approach in three stages: development of a conceptual framework reviewing 62 guidelines; a content analysis of key areas of the guidelines; and review of dissertations to…

The COVID-19 pandemic touched off an unprecedented search for vaccines and treatments. Without question, the development of vaccines to prevent COVID-19 was an enormous scientific accomplishment. Further, the RECOVERY and Solidarity trials identified effective treatments for COVID-19. But all was not success. The urgent need for COVID-19…

Since 2018, colleagues from two research centers at Dublin City University have been collaborating to develop a measurement scale to assess individuals' ability to identify workplace bullying. Having agreed on an operational definition of the construct, an item pool of 26 workplace bullying scenarios, that is, short descriptions of…

Manipulation checks are an essential component of quality experimental design in motor learning. Guided by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework, this methodological systematic review examined the utilization of manipulation checks in focus of attention research. Seventy-eight protocols from four…

This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…

In this article, we examine whether cross-national studies disclose enough information for independent researchers to evaluate the validity and reliability of the findings (evaluation transparency) or to perform a direct replication (replicability transparency). The first contribution is theoretical. We develop a heuristic theoretical model…

While there has been a lot of debate over the impact of online and remote learning on mental health and well-being, there has been no systematic syntheses or reviews of the research on this particular issue. In this paper, we review the research on the relationship between mental health/well-being and online or remote learning. Our review shows…

In undergraduate research settings, students are likely to encounter anomalous data, that is, data that do not meet their expectations. Most of the research that directly or indirectly captures the role of anomalous data in research settings uses post-hoc reflective interviews or surveys. These data collection approaches focus on recall of past…