Self-reflection
For a successful completion of any program, data analysis and results dissemination is a crucial part of the processes. Data analysis is the processes of project reporting that involves inspection, cleansing, transformation, and modeling of the data collected with the aim of establishing information that is useful in suggesting the possible conclusions and in providing insights to support the decisions made (Ott & Longnecker, 2015). Dissemination on the other hand is the processes of getting out the findings of the project. This can be done through various platforms among them presentations and written report. Results dissemination is a critical process in program implementation for it creates a link between the researchers and the field.
Data analysis for me is a rather challenging process and often, I get entangled in the various processes. The method selected for data analysis will depend on the nature and the type of the research. There are basically two dominant types of research, quantitative – which involves quantities i.e. data that is in numerical value, and qualitative – which involves qualities e.g. the color of flowers. These two types of research methods warrant different data analysis methods. I am well comfortable with qualitative data...
References
McBride, N. (2016). Dissemination Phase of the Intervention Research Framework: Presentation and Dissemination of Results. In Intervention Research (pp. 149-164). Springer Singapore.
Ott, R. L., & Longnecker, M. T. (2015). An introduction to statistical methods and data analysis. Nelson Education.
Stage, F. K., & Manning, K. (Eds.). (2015). Research in the college context: Approaches and methods. Routledge.
DNP PROJECT : DATA COLLECTION AND ANALYSISImplementation Plan/ProceduresPhase 1: Program Development (Months 1-3)� Conduct comprehensive literature review on evidence-based practices for culturally tailored hypertension self-management� Collaborate with community stakeholders and minority health organizations to understand sociocultural determinants and barriers� Design culturally relevant, linguistically appropriate education curriculum with interactive multimedia resources� Recruit and train a diverse team of bilingual, culturally competent nurses and community health workersPhase 2: Participant Recruitment (Month 4)�
data collection and analysis legitimize the goals and strategies educators create for change and improvement? Given today's emphasis on standardized testing in the era of No Child Left Behind (NCLB), using data-driven analysis to legitimize various educational strategies is essential. "Daily life in districts and schools requires educators to effectively navigate a sea of data: diagnostic and norm-referenced standardized assessment data, reading assessment data, state and local assessment data, in
Practice Fusion Strategic Planning Document: A Plan for Conversion, Integration, and Implementation of Electronic Health Records (EHR) in a Residential Care Facility Description of Institute The objective of this study is to examine the implementation of a new information technology data-management plan at a residential care facility for individuals with mental illness/mental retardation. This facility also provides day treatment and respite care. This will include a two-person practice for a Nurse Practitioner and a
This reduces response bias for better reliability of the information gathered and a higher anticipated response rate for an adequate sample size. A one month time frame gives better assurance of an appropriate response rate adequate analysis of results. Research Questions Patient wait time: How long did you wait before being register? < 5 min, 5 min, 10 min, longer How long did you wait to be called after being registered? <
Technology in Managing Data in Clinical Trials TECHNOLOGY IN CLINICAL TRIALS Incorporation of technology (electronic and digital technology that can utilize the internet or mobile devices) into the process of designing and executing studies in Clinical trials has been a slow process. Currently, individuals and various corporations have already incorporated such technology into their day-to-day lives and rely on electronic platforms. The aim of this paper is to provide a general
Technology in Managing Data in Clinical Trials TECHNOLOGY IN CLINICAL TRIALS Incorporation of technology (electronic and digital technology that can utilize the internet or mobile devices) into the process of designing and executing studies in Clinical trials has been a slow process. Currently, individuals and various corporations have already incorporated such technology into their day-to-day lives and rely on electronic platforms. The aim of this paper is to provide a general
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