2022
DOI: 10.1007/s11135-022-01465-y
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Do Science and Social Science Differ? Multi-Group Analysis (MGA) of the Willingness to Continue Online Learning

Abstract: Without proper preparation by higher institutions, the COVID-19 pandemic has forced the world to rely on online learning. Even students of social science and science are looking for different knowledge and skills. Currently, both groups rely on the same method to gather knowledge for future undertakings. Given the uncertainty regarding the resolution of COVID-19, which has driven students to continue using online learning, the current study aims to identify the factors of willingness to continue online learnin… Show more

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Cited by 6 publications
(6 citation statements)
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“…All negative values for the results of PLS RMSE-LM RMSE indicate a strong predictive power. The majority of the values are negative which is an indication that the model has moderate predictive power (Ngah et al, 2023a(Ngah et al, , 2023bShmueli et al, 2019). As can be seen in Table 6, all Q 2 predicts values are greater than 0, and…”
Section: Structured Modelmentioning
confidence: 87%
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“…All negative values for the results of PLS RMSE-LM RMSE indicate a strong predictive power. The majority of the values are negative which is an indication that the model has moderate predictive power (Ngah et al, 2023a(Ngah et al, , 2023bShmueli et al, 2019). As can be seen in Table 6, all Q 2 predicts values are greater than 0, and…”
Section: Structured Modelmentioning
confidence: 87%
“…In the current study, the authors applied distinct end scale points with a 1–7 Likert scale for endogenous items and a 1–5 Likert scale to measure exogenous constructs as a procedural method (Ngah et al. , 2023a, 2023b; Tuan Mansor et al. , 2022a, 2022b).…”
Section: Discussionmentioning
confidence: 99%
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“…can be investigated. The effect between groups is essential to understand how various factors affect satisfaction by employing PLS-MGA [17].…”
Section: Discussionmentioning
confidence: 99%
“…Individual reflexive measures can be said to be high if they have a correlation of more than 0.70 with the construct to be measured. However, in the early stages of development of the measurement scale, a loading value of 0.50 to 0.60 is considered sufficient (Ngah et al, 2022;Toyoda et al, 2021). b) the outer model which determines the relationship between the latent variable and the indicator or the manifest variable (measurement model), the analysis phase of the outer model is measured using validity and reliability tests.…”
Section: Research Hypothesismentioning
confidence: 99%