Simulation acceptance scale (SAS): A validity and reliability study

Sezer, Barış; Teker, Gülşen Taşdelen; Sezer, Tufan Aslı; Elçin, Melih

doi:10.14742/ajet.4950

Cited by 6 publications

(4 citation statements)

References 40 publications

(64 reference statements)

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“…The normal value of glycosylated hemoglobin is 4%∼6%. Assessed the anxiety and depression of the two groups with the self-rating anxiety scale (SAS) [ 7 ] and self-rating depression (SDS) before and after nursing [ 8 ]. Assessed the quality of life of the two groups with short-form health survey 36 (SF-36), after follow-up, consisting of eight aspects like physical function (PF), general health (GH), vitality (VT), mental health (MH), social function (SF), role-physical function (RP), bodily pain (BP), and role-emotional function (RE), with a total of 36 items [ 9 ].…”

Section: Methodsmentioning

confidence: 99%

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Effects of Personalized Nursing plus Dietary Nursing Management on LP-PLA2, Hcy Levels, and Quality of Life in Elderly Patients with Acute Coronary Syndrome

Luo

Zhao

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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Objective. To explore the effect of individual nursing combined with dietary management on blood glucose levels and quality of life in elderly patients with acute coronary syndrome with diabetes. Method. This study included 68 elderly patients who underwent acute coronary syndrome at Department of Emergency in our hospital from January 2018 to January 2020. And they were assigned to a control group (n = 34) treated with individual nursing and a research group (n = 34) treated with individual nursing and dietary management according to the random number table. A comparison of the changes in blood glucose levels, anxiety and depression, quality of life, and nursing satisfaction was made between groups before and after nursing. Result. Before nursing, the differences in blood glucose levels, SAS scores, and SDS scores between groups were not considered statistically significant ( P > 0.05 ). After nursing, the blood glucose levels, SAS, and SDS levels of patients in both groups significantly decreased, and the research group presented a higher decrease when compared with the control group ( P < 0.05 ). The short form health survey (SF-36) showed that the research group had higher scores in physical function (PF), general health (GH), vitality (VT), mental health (MH), social function (SF), role-physical (RP), bodily pain (BP), and role-emotional (RE) compared with the control group ( P < 0.05 ). The satisfaction survey presented that the research group had a significantly higher total score than the control group [(91.40 ± 5.23) vs. (86.61 ± 7.14), P < 0.05 ]. Conclusion. The combination of individual nursing and dietary management not only effectively reduces glycosylated hemoglobin levels and anxiety and depression but also wins better nursing satisfaction in the treatment of acute coronary syndrome in elderly patients. Moreover, their quality of life has been significantly improved after discharge.

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Section: Methodsmentioning

confidence: 99%

“…Assessed the anxiety and depression of the two groups with the self-rating anxiety scale (SAS) [ 7 ] and self-rating depression (SDS) before and after nursing [ 8 ].…”

Section: Methodsmentioning

confidence: 99%

Effects of Personalized Nursing plus Dietary Nursing Management on LP-PLA2, Hcy Levels, and Quality of Life in Elderly Patients with Acute Coronary Syndrome

Luo

Zhao

et al. 2022

Evidence-Based Complementary and Alternative Medicine

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“…Based on EFA results, information can be accurately extracted from the scale data. Therefore, the CFA for scale psychometric evaluation was deemed appropriate [74]. Seven components were extracted (Table 3) and explained of the variance.…”

Section: Sample Characteristicsmentioning

confidence: 99%

Factors influencing doctors’ acceptance of artificial intelligence-enabled clinical decision support systems in tertiary hospitals in China

Yang,

Man,

Yun

et al. 2023

Preprint

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Artificial intelligence-enabled clinical decision support systems (AI-CDSSs) can enhance decision-making ability to improve healthcare performance and efficiency by introducing new AI technologies such as deep neural networks and knowledge graphs. This study aimed to analyze the factors influencing doctors’ acceptance of AI-CDSSs in tertiary hospitals in China. We proposed a hypothesized model based on the unified theory of acceptance and use of technology (UTAUT) model, and developed a 25-item measurement scale. 187 doctors completed the web-survey, who’s from four tertiary hospitals in four provinces in China. We used partial least squares structural equation modeling (PLS-SEM) to analyze the data. The Cronbach α value was 0.932, the corrected item to total correlation values ranged from 0.467 to 0.744, and the average variance of extracted values ranged from 0.628 to 0.782. The standardized root mean square residual value was 0.055, the squared Euclidean distance and geodesic distance were 0.995 and 0.566, respectively. The model had explained 73.1% of doctors’ acceptance. Doctors’ acceptance of AI-CDSSs is strongly influenced by effort expectancy, is moderately influenced by trust in AI and is weakly influenced by social factors. Trust in AI as an important new factor is moderately influenced by social factors and is weakly influenced by effort expectancy and performance expectancy. Compared to the performance of decision-making, doctors are more interested in improving efficiency. Moreover, improving the ease of use, focusing on doctors' trust in AI technology, and enhancing the introduction of AI-CDSSs will encourage doctors to accept AI-CDSSs.

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“…Research aimed at self-assessment among Iranian EFL university students shows that while self-assessment is highly reliable (Manzari, 2023). Research on the Simulation Acceptance Scale (SAS) that was developed can be used because it is reliable (Sezer et al, 2020). Research to provide evidence of the validity and reliability of student assessments of teaching quality using assessments from TIMSS 2019 (Senden et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Comparative Test of Cronbach's Alpha Reliability Coefficient, Kr-20, Kr-21, And Split-Half Method

Hari Sugiharto Setyaedhi

2024

JERE

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Final semester exams have an essential role in measuring student learning outcomes. Therefore, the tests must be of good quality. The problem is that lecturers must use reliable measuring tools to measure learning outcomes. This research aims to compare various reliability coefficients to determine which method has the highest reliability. The data collection methods in this research are observation, interviews, and tests based on student responses to the final semester exams. The data analysis technique uses the reliability of the Alpha Cronbach formula, Kuder Richardson 20, 21, and the split-half method consisting of Spearman-Brown, Flanagan, Rulon, and Hoyt. This type of research uses quantitative description. Comparative research designs are ex post facto. The research subjects were 90 undergraduate students. The research results provide several conclusions: first, the odd-even Rulon method has the highest reliability coefficient, namely 0.86; second, all reliable methods have a coefficient above 0.7 as the minimum requirement for acceptance; and third. All reliability methods have relatively the same reliability coefficient, namely around 0.8. fourth, all reliable techniques are suitable for measuring tools in the final semester exam. This research implies that lecturers are advised to use the odd-even Rulon reliability coefficient when measuring learning outcomes.

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Simulation acceptance scale (SAS): A validity and reliability study

Cited by 6 publications

References 40 publications

Effects of Personalized Nursing plus Dietary Nursing Management on LP-PLA2, Hcy Levels, and Quality of Life in Elderly Patients with Acute Coronary Syndrome

Effects of Personalized Nursing plus Dietary Nursing Management on LP-PLA2, Hcy Levels, and Quality of Life in Elderly Patients with Acute Coronary Syndrome

Factors influencing doctors’ acceptance of artificial intelligence-enabled clinical decision support systems in tertiary hospitals in China

Comparative Test of Cronbach's Alpha Reliability Coefficient, Kr-20, Kr-21, And Split-Half Method

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