Researchers in second language (L2) and education domain use different statistical methods to assess their constructs of interest. Many L2 constructs emerge from elements/parts, i.e., the elements "define" and "form" the construct and not the other way around. These constructs are referred to as emergent variables (also called…

Multilevel structural equation modeling (MSEM) allows researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This article…

In randomized control trials (RCT), the recent focus has shifted to how an intervention yields positive results on its intended outcome. This aligns with the recent push of implementation science in healthcare (Bauer et al., 2015) but goes beyond this. RCTs have moved to evaluating the theoretical framing of the intervention as well as differing…

Factor analysis is widely utilized to identify latent factors underlying the observed variables. This paper presents a comprehensive comparative study of two widely used methods for determining the optimal number of factors in factor analysis, the K1 rule, and parallel analysis, along with a more recently developed method, the bass-ackward method.…

Transfer beliefs are understudied in the training transfer field, whereas structural equation modelling (SEM) has been a widely used technique to study transfer models. New methodologies are needed to study training transfer and network analysis (NA) has emerged as a new approach that provides a visual representation of a given network. We…

This study aims to validate a data collection tool's psychometric properties to explore whether business management research's relevance is a high-order construct made up of its perceived interest and perceived relevance. The authors conducted a confirmatory factor analysis to validate a two-factor scale. The sample was composed of 148 MBA…

This study aimed to develop and validate a comprehensive research self-efficacy scale (C-RSES) to measure the research self-efficacy of both graduate students and academics in any discipline. Data were gathered nationwide in Turkey from 1301 researchers including graduate students and academics. Exploratory factor analysis revealed a 28-item…

Expanding the scope of previous undergraduate research assessment tools, the "Entering Research" Learning Assessment (ERLA) measures undergraduate and graduate research trainee learning gains in the seven areas of trainee development in the evidence-based "Entering Research" conceptual framework: Research Comprehension and…

Although an abundance of research has discussed the importance of Universal Design for Learning (UDL), there is little research on how UDL may be used in syllabus construction. The authors developed and validated the UDL Syllabus Scale (UDLSS), which evaluates higher education instructors' ability to design a syllabus using UDL principles. Over…

Selecting and applying appropriate research techniques, analysing data using information and communication technologies, transferring the obtained results of the analysis into tables and interpreting them are the performance indicators evaluated by the Ministry of National Education under teacher competencies. At the beginning of the courses that…

Multilevel structural equation (MSEM) models allow researchers to model latent factor structures at multiple levels simultaneously by decomposing within- and between-group variation. Yet the extent to which the sampling ratio (i.e., proportion of cases sampled from each group) influences the results of MSEM models remains unknown. This paper…

Expectancy-value theory of motivation (EVT) suggests that student values influence their likelihood of putting in the effort required to learn, and these values can be shaped by student characteristics, such as their experiences, sociodemographics, and disciplinary norms. To understand the extent to which these characteristics relate to students'…

This study offers methodological synergy in the examination of factorial structure in second language (L2) research. It illustrates the effectiveness and flexibility of the recently developed exploratory structural equation modeling (ESEM) method, which integrates the advantages of exploratory factor analysis (EFA) and confirmatory factor analysis…

There is a growing interest in the perceived research environment for higher education academics. As there is no existing, psychometrically sound scale that directly measures perceived research environment for higher education academics, we designed and validated the Perceived Research Environment Scale for use with this population. In Phase 1,…

The instrument that assesses teachers' competence on AR methodology is limited. Thus, it is one of the issues concerning evaluating the effectiveness of a professional development program on designing AR projects. It is difficult to determine how much and what teachers have learned in a course or training. Thus, this cross-sectional study aimed to…