Factor mixture modeling (FMM) is generally complex with both unobserved categorical and unobserved continuous variables. We explore the potential of item parceling to reduce the model complexity of FMM and improve convergence and class enumeration accordingly. To this end, we conduct Monte Carlo simulations with three types of data, continuous,…

This study developed a Metaverse Competency Scale (MCS) to measure users' proficiency in crucial metaverse skills. The scale was built on a thorough literature review covering digital avatars, immersive experiences, and decentralized value exchange. A two-phase questionnaire approach was employed. In the first phase, a pre-test questionnaire,…

The study examined factors affecting Behavioral Intention (BI) regarding students' choice of educational administration as their major. Samples were taken from Indonesian students. The process was begun with the adaptation of survey instruments from previous studies validated through content validity. In testing the normality, Skewness and…

Chi-square tests based on maximum likelihood (ML) estimation of covariance structures often incorrectly over-reject the null hypothesis: [sigma] = [sigma(theta)] when the sample size is small. Reweighted least squares (RLS) avoids this problem. In some models, the vector of parameter must contain means, variances, and covariances, yet whether RLS…

Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependent response variables and multiple latent variables (which may also be called random effects or…

The determination of work competence according to industrial needs that are expected by employers of new graduates in the department of architectural engineering in vocational high schools will help graduates to transit smoothly from the academic education environment to the real conditions of the construction industry in the workplace. This…

The use of structural equation modeling (SEM) techniques in social work has increased over the last two decades. We therefore conducted a systematic review to understand the extent to which SEM is utilized in social work research, given that statistical training is now becoming a part of social work doctoral education. For our review, we utilized…

This article describes the development of a Confucian heritage culture (CHC) scale, where a conceptual definition of CHC emerged from interdisciplinary perspectives. The scale dimensions adopted interdisciplinary perspectives from history, psychology, political science, and science education. The validity and reliability of the scale were…

Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand…

Factor score regression (FSR) is widely used as a convenient alternative to traditional structural equation modeling (SEM) for assessing structural relations between latent variables. But when latent variables are simply replaced by factor scores, biases in the structural parameter estimates often have to be corrected, due to the measurement error…

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…

Understanding latent variables is essential in EFL research. This article examines key latent variables, such as linguistic competence, cognitive ability and socio-cultural factors. These variables play a crucial role in shaping EFL learning experiences and outcomes. Researchers can use methods such as exploratory factor analysis (EFA),…

It is predicted that hundreds of chief enrollment management officer (CEMO) positions may become available due to high turnover within the next few years, creating an opportunity for a new generation of leaders. In this causal comparative quantitative study, data was collected from 211 current CEMOs to understand the challenges and highlights of…

Prior studies investigating the effects of non-normality in structural equation modeling typically induced non-normality in the indicator variables. This procedure neglects the factor analytic structure of the data, which is defined as the sum of latent variables and errors, so it is unclear whether previous results hold if the source of…

Thinking has always been an integral part of human life, and it can be said that whenever humanity has been thinking, it has been practicing a kind of criticizing the issues around. This is the concept of critical thinking that enhances the ability of individuals to identify problems and find solutions. Most previous research has focused on only…