This study examined the impact of omitting covariates interaction effect on parameter estimates in multilevel multiple-indicator multiple-cause models as well as the sensitivity of fit indices to model misspecification when the between-level, within-level, or cross-level interaction effect was left out in the models. The parameter estimates…

In order to promote the use of increasingly available large-scale assessment data in education and expand the scope of analytic capabilities among applied researchers, this study provides step-by-step guidance, and practical examples of syntax and data analysis using Maples. Concise overview and key unique aspects of large-scale assessment data…

Monte Carlo simulation is a useful tool for researchers to estimated accuracy of a statistical model. It is usually used for investigating parameter estimation procedure or violation of assumption for some given conditions. To run a simulation either the paid software or open source but free program such as R is need to be used. For that,…

ICT use in family functioning is an important area to study as the impact changes when technology grows over years. This research analyzed the role of ICT use in process & structure of families using the factors present in Hertlein multitheoretical model. The additional factor 'family communication pattern' was introduced and tested along with…

Control-value theory proposes that achievement emotions impact achievement, and that achievement outcomes (i.e., success and failure) reciprocally influence the development of achievement emotions. Academic buoyancy is an adaptive response to minor academic adversity, and might, therefore, offer protection from achievement being undermined by…

This study aims to test the structural models of several integrated motivational constructs empirically. The motivational construct refers to three theoretical models: Attention-Relevance-Confidence-Satisfaction (ARCS), McClelland's needs, and Self-Determination Theory (SDT). Data were collected from lecturers and students as respondents at two…

Purpose: Overall quantitative research aims to observe certain fundamental principles of logic and scientific frame of reasoning. There continues to be challenges on how quantitative research is conducted in the field of information systems. Design/methodology/approach: Structured equation modelling (SEM) research identifies concerns about the…

Competent instructors need to have the skills, abilities, and competencies to perform tasks effectively, which will affect student learning achievement. This study is guided by the theory of Boyatzis developed by Spencer and Spencer. The Iceberg Competency Model was used as a guideline to identify the competency elements of educators from the…

The research sought to assess mathematics teachers' acceptance of Information and Communication Technology (ICT) integration into teaching and learning at the secondary schools. This study was a cross-sectional survey that gathered data with structured questionnaire. The population was mathematics (core and elective) teachers of secondary schools…

Online collaborative learning (OCL) has received significant attention, but the ultimate goal of adopting OCL is neglected, especially in higher education context. To bridge the research gap, the present study applied OCL theory integrating with cognitive development to evaluate the effectiveness of student learning performance through OCL. To our…

It is indeed a fact that diversity helps to build a better economy, and diverse businesses are proven to be healthier and more successful, but the lack of diversity in the workforce and educational environment, shows that the pipeline is not moving Latinx people enough. Latinx community is the largest minoritized community in the United States,…

Structural equation modeling (SEM) and path analysis using composite-scores are distinct classes of methods for modeling the relationship of theoretical constructs. The two classes of methods are integrated in the partial-least-squares approach to structural equation modeling (PLS-SEM), which systematically generates weighted composites and uses…

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 investigates the relationship between undergraduates' technological readiness, self-efficacy, attitude, and usage of artificial intelligence (AI) tools. The study leverages the technology acceptance model (TAM) to explore the relationships among the study's variables. The study's participants are 176 undergraduate students from a public…

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,…