Apply an understanding of diversity and equity in education to foster inclusive school environments that enhance student learning or staff professional growth.
Identify appropriate educational technology resources to support student learning and staff professional development.
you will conclude your investigation into a problem of practice by designing a plan to assess the effectiveness of your implementation ideas. Include in your discussion the practice and policy implications that result from this exploration into the problem of practice. In other words, explain the application to practice and educational policy that can be implied from your research and plan.
Create a PowerPoint presentation (or other multimedia presentation) where you describe your problem of practice. You will need to record yourself presenting on the following components:
Introduce the Problem of Practice (2 slides)
Identify Key Research (2 slides)
Summarize the Role of Key Stakeholders (2 slides)
Describe the Implementation Plan (2 slides)
Explain How Data Could Be Collected and Analyzed (2 slides)
Provide a Review of Practice and Policy Implications (2 slides)
Free Multimedia Software that Records - Prezi, PowerPoint, Canva
Sample Answer
One-Way Between-Subjects ANOVA
A one-way between-subjects ANOVA is an inferential statistical test used to determine if there are any statistically significant differences between the means of three or more independent (unrelated) groups. The "between-subjects" part signifies that each participant is exposed to only one level of the independent variable, meaning they belong to only one group.
Hypothetical Study: A researcher wants to investigate the effect of different nursing education methods on patient satisfaction scores.
Independent Variable: Nursing education method.
Dependent Variable: Patient satisfaction score (measured on a 1-100 scale).
Groups/Conditions:
MS between vs. MS within: In an ANOVA, the F-statistic is the ratio of Mean Square Between Groups (MS between) to Mean Square Within Groups (MS within). F=MS_withinMS_between The MS between represents the variance between the group means, reflecting the effect of the independent variable. The MS within represents the variance within each group, which is considered the "error" or unexplained variance. To demonstrate that a treatment variable has a significant difference, a researcher would want the MS between to be larger. A larger MS between means that the differences between the group means are much greater than the variation within each group. This results in a larger F-statistic, making it more likely to be statistically significant.
Letter to the Editor of Journal of Nursing Scholarship
[Journal's Name and Address] Journal of Nursing Scholarship Sigma Theta Tau International Honor Society of Nursing 550 W. North Street, Indianapolis, IN 46202