Table Of Content
The results suggest that immersion in simulation situations plays a mediating role in the relationship between simulation instructional design and simulation training satisfaction. To increase the simulation educational satisfaction, the scale should be designed by considering the learning goals and contents, support methods during simulation, problem-solving methods, feedback, realism, and building an immersion strategy. First, further research should assess various variables suggested by the NLN/Jeffries simulation theory. Second, it is necessary to develop faculty development programs to improve the ability to apply simulation design and teaching strategies and to determine their effectiveness. Research has examined the relationship between academic stress and coping strategies among nursing students, but no studies focus specifically on the learning approach and academic stress. However, existing literature suggests that students interested in nursing tend to experience lower levels of academic stress [7].
An exploratory university-based cross-sectional study of the prevalence and reporting of mistreatment and student ... - BMC Medical Education
An exploratory university-based cross-sectional study of the prevalence and reporting of mistreatment and student ....
Posted: Mon, 26 Jun 2023 07:00:00 GMT [source]
Types of Cross-Sectional Surveys
All nursing students who fulfilled the study’s inclusion criteria were invited to participate in the optional survey. The exclusion criteria were on leave from school, or diagnosed with a significant mental illness or psychiatric disorder. The findings of this study highlights a high burden of AMR driven my multiple factors.
Considerations for use: Prevalence Odds Ratio versus Prevalence Ratio
Additionally, each study participant’s evaluation is completed at one time-point with no follow-ups (Cummings, 2013), providing a ‘snapshot’ of the sample. Cross-sectional designs can be implemented as an interview or survey and may also collect physiological data and biological samples. In a cross-sectional study, data are collected from a sample of the target population at a specific point in time, and everyone in the sample is assessed in the same way. There isn’t a manipulation of variables or a control group as there would be in an experimental study design.
How Many Cross Sections are Required?
Additionally, professional development opportunities can help educators stay updated on evidence-based teaching strategies and practical interventions for addressing student stress. In this study, nursing students were deeply engaged in the simulation and satisfied with their simulation-based education when the simulation design was adequate. The standards explain that simulation design influences simulation experience within the overall context of simulation education [4], which supports the findings of this study. The average score of 4.17 ± 0.45 was greater than the results of several studies on Korean nursing students [12, 16, 20, 29]. Thus, it suggests that Korean nursing education is moving toward simulation-based instructional design.
Correlation among simulation educational satisfaction, simulation design, and flow
We also included findings for point prevalence survey (PPS) conducted within four hospital wards in June, 2022 by a well-trained multi-disciplinary team from within the hospital. The data was analyzed for antibiotic use, characterization of pathogens and their susceptibility patterns using Microsoft excel and STATA-14 software. Educational researchers often use a cross-sectional design to evaluate student performance across different grades or age groups at a single point in time. Such a study could compare test scores to analyze trends and disparities in educational achievement. By examining variables like socio-economic status, teaching methods, and school resources, educators and policymakers can identify areas needing improvement or intervention.
Sample design
Since cross-sectional research data is gathered all at once, multiple variables can be assessed simultaneously. This is especially useful if you’re interested in exploring associations between sets of variables. Cross-sectional research studies gather data at one point in time, so insights from this type of research are a snapshot of a particular moment. For example, if the smoothie shop owner took a snap poll of customers on a Saturday and then again on a Monday, they might find that fruit and vegetable preferences differ across the two days.
What is a Cross-Sectional Study?
Unlike longitudinal studies that observe the same subjects over a period of time to detect changes, cross-sectional studies focus on finding relationships and prevalences within a predefined snapshot. This method is particularly useful for understanding the current status of a phenomenon or to identify associations between variables without inferring causal relationships. For the sub-factor scores of simulation design, the feedback score was the highest, and the fidelity score was the lowest, and a study of Korean nursing students reported similar results [29]. Fidelity is categorized into physical, conceptual, and psychological fidelity, and fidelity is an important factor in simulation design because realism immerses learners in the simulation situation. It provides insightful information about the educational experiences of Egyptian nursing students, a demographic that has yet to receive much research.
Though these studies cannot determine cause and effect, they are invaluable for generating hypotheses or propositions, informing policy decisions, and guiding future research. Their descriptive nature and relative ease of execution make cross-sectional studies a common starting point in many research endeavors, providing a foundational understanding of the context and variables of interest. They help us understand a wide range of topics and make better decisions based on current data. While they have limitations, their ease of use and quick results make them a go-to method for many researchers. Think of it as a survey that asks different people the same questions at the same time.
By following these steps, you can create a well-designed questionnaire that will effectively gather the data needed for your cross-sectional study. A thoughtfully crafted questionnaire is key to obtaining valid and reliable results from your survey. For example, a survey might ask about age, income, and shopping habits all at the same time. We encourage the readers to go through some of these studies to understand the design and analysis of cross-sectional studies. Surveys or questionnaires about certain aspects of people’s lives may not always result in accurate reporting, and there is usually no mechanism for verifying this information. Check out our blog on how to avoid survey bias in order to collect the most accurate responses.
Each antibiotic sensitivity test result on a particular pathogen had one of the following outcome; Resistant (R), Intermediate (I), or Sensitive (S). The percentage proportion for each of the three outcomes of the resistance pattern against the bacterial isolate was determined by STATA 14 software program. Overall, an antibiotic with higher proportion of ‘R’ compared to ‘S’ was considered ineffective. Where an antibiotic had more ‘S’ compared to ‘I’ or ‘R’, it was considered effective. Results were presented inform of bar chats with each antibiotic indicating two consecutive sensitivity patterns. Researchers prefer cross-sectional studies to find common points between variables.
In the current study, the multivariate linear regression analysis reveals that various factors positively influence the deep learning approach, including age, female gender, educational year level, and stress from teachers and nursing staff. In contrast, stress from a lack of professional knowledge and skills exert a negative influence. The models explain 17.8% and 25.5% of the variance in the deep and surface learning approaches, respectively, and both are statistically significant. These findings underscore the intricate interplay of demographic and stress-related factors in shaping nursing students’ learning approaches.
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