2017
DOI: 10.1016/j.compedu.2017.01.005
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Measuring the adoption and integration of virtual patient simulations in nursing education: An exploratory factor analysis

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Cited by 16 publications
(11 citation statements)
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References 33 publications
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“…The KMO MSA criteria and Bartlett's test of sphericity were computed for the inter-correlated matrices, and the resultant item correlations were sufficient to perform the KMO MSA test which produced an index 0.806 and Bartlett's test of sphericity significant at p = 0.001 (χ 2 = 320.628; df = 55). These statistics were all above the recommended threshold (Kleinheksel & Ritzhaupt, 2017) and confirmed the inter-correlation to be factorable. On calculating the eigenvalues of the unreduced item correlation matrix, a one-factor solution was postulated.…”
Section: Second-level Factor Analysissupporting
confidence: 61%
See 1 more Smart Citation
“…The KMO MSA criteria and Bartlett's test of sphericity were computed for the inter-correlated matrices, and the resultant item correlations were sufficient to perform the KMO MSA test which produced an index 0.806 and Bartlett's test of sphericity significant at p = 0.001 (χ 2 = 320.628; df = 55). These statistics were all above the recommended threshold (Kleinheksel & Ritzhaupt, 2017) and confirmed the inter-correlation to be factorable. On calculating the eigenvalues of the unreduced item correlation matrix, a one-factor solution was postulated.…”
Section: Second-level Factor Analysissupporting
confidence: 61%
“…The resultant item correlations were sufficient to perform the KMO MSA test which yielded an index of 0.736 and Bartlett's test of sphericity significant at p = 0.001 (χ 2 = 125.357; df = 15). The results confirmed that the correlation matrix was an identity matrix and satisfactory for factor analysis (Bartlett, 1950;Kaiser, 1974;Kleinheksel & Ritzhaupt, 2017). The next step was to calculate the eigenvalues of the unreduced item correlation matrix on the criterion of roots greater than unity (Kaiser, 1974).…”
Section: Second-level Factor Analysissupporting
confidence: 57%
“…This was also found in a study performed by Cremonini [18] that nursing students' satisfaction was high with the usage of video games in education. Multiple other studies also concur with the flexibility and adaptability of video games and simulation towards any specific specialty [5,6]. Two studies were performed specifically with the pediatric nurse specialty and gaming.…”
Section: Simulated Training Leads To Clinical Improvementmentioning
confidence: 70%
“…Gaming and simulations can help quell those fears by providing an environment of no fear of harm to the patient. Multiple research articles specifically mention the importance of the creation of that type of environment of not harming a patient [1,[5][6][7][8][9][10][11][12]. [5,9] continue to press that issue of errors not affecting humans and that simulations create a supervised session that allows the students to practice, experience and try new skills in different ways to help them learn how to perform those skills in a controlled manner.…”
Section: Simulated Training Leads To Clinical Improvementmentioning
confidence: 99%
“…Exploratory factor analysis was performed on each subscale to investigate the underlying structures within the adoption and integration constructs. Varimax was chosen as the rotation method since it is an orthogonal rotation that allows for factor correlation [52,53]. Employees' point of view was used to identify the suitability of characteristics based on the literature, describing various factors of social sustainability related to ergonomic dimensions.…”
Section: Feasibility Check Of Exploratory Factor Analysismentioning
confidence: 99%