Application of Structural Equation Modeling (SEM) in Estimating the Contributing Factors to Satisfaction of TASKA Services in East Coast Malaysia

Azrul Fazwan Kharuddin · Norazura Azid · Zaida Binti Mustafa · Ku Faridah Ku Ibrahim · Darvinatasya Kharuddin

26 citations0/0 files storedAsian Journal of Assessment in Teaching and Learning

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Psychometric Methodologies and Testing Customer Service Quality and Loyalty Educational Outcomes and Influences

Abstract

This research shows the application of the Structured Equation Modeling (SEM) to obtain the best model for studying the relationship between the more efficient and accurate against the findings and the interpretation of the variables. The objectives of the study are to assess the reliability of the developed instrument and to test construct validity of the research instruments in estimating the contributing factors to TASKA service satisfaction. The proportionate stratified random sampling method was used to select a total of 61 TASKAs from three states on the east coast of Malaysia consisting of 273 parents and guardians which are currently using the TASKA services. Validity and reliability of the measurement model in the analysis using Structural Equation Modeling (SEM) method. Measurement models were data-based and fit based on the fit index (CMF) χ2 = 3230.541, with degrees of freedom (df) = 902, CMIN / df = 3.582 (≤5.0), CFI & TLI (≤0.9), and RMSEA = 0.070 (≤0.1). Based on the results obtained, all indices meet standardized metric and assessment tools have proven to be a good instrument. The results show that there are 5 factors that influence parents' satisfaction with the quality of services offered by TASKA. Analysis found that the combination of manage, grow, fees, activity and cost constitutes a strong association to estimate a complete structured equation model while supported by demographic factors such as education level, occupation, location, distance, agency, status and age of children to strengthen the TASKA selection factor. Research shows that this TASKA service model can assist as a guide in improving the existing quality for future improvement. Furthermore, it can be used as a module in providing the best quality of services to the satisfaction of parents and guardians.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 26 citations exist upstream.

References

2000Structural equation modeling with AMOS: basic concepts, applications, and programming 1998The Investment Model Scale: Measuring commitment level, satisfaction level, quality of alternatives, and investment size 2020Applied Structural Equation Modeling Using AMOS 2017TWO CRITERIA FOR GOOD MEASUREMENTS IN RESEARCH: VALIDITY AND RELIABILITY 2020Applied Structural Equation Modeling using AMOS: Basic to Advanced Techniques 2004Severity of Disability and Income as Predictors of Parents' Satisfaction with Their Family Quality of Life during Early Childhood Years 2016Prior knowledge, cognitive characteristics and opportunity recognition 1994Measuring Parent Satisfaction with Early Childhood Intervention Programs

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.