7. Study Methodology Part 1
(pull in elements from the IRB application)
-Population (describe it and ensure it is congruent with the study purpose and goals)
-Inclusion criteria/ recruiting/ consent for the sampling frame must be clear, noting
participant characteristics that are desired/ required are just as important as noting
characteristics that could contribute to extraneous variables that should be controlled for/
excluded.
-Sampling methodology (specify the precise sampling strategy and provide a rationale for it,
noting the feasibility and any limitations).
– Time Management Plan (recycle this from Hybrid #2) make sure the timeline is realistic for
completing the proposed study, beginning with IRB review of the research study proposal
and ending with time to analyze, write up and disseminate the findings.
8. Study Methodology Part 2
-Data collection instrument(s) (build upon what was developed during the 2nd FNP
weekend) and note existing instruments for measuring variables of interest i.e. depression
score, satisfaction, self efficacy, etc.
-Data collection form (input your data collection form where you will organize the
information retrieved from subjects. Reference the data collection card examples and
templates provided if needed. Be sure to explain any coding schema used with a legend.
-Identification of key study variables: (use the worksheet provided for the 2nd FNP
weekend). Describe as many relevant variable types that pertain to meaningful data to
support study aims/ objectives that make strides toward your overall study goal.
9. Study Methodology Part 3
-Data management plan
Describe the key variables, how you will measure them and and how they support
investigation of the clinical problem. The data you choose to measure should be meaningful
and support the purpose, making progress to achieving the overall goal of the study.
-Data analysis strategy
Select an analysis strategy appropriate for your study design and scope.
Descriptive statistics are always possible (qualitative and quantitative studies). Additional
statistical analyses will depend upon whether you intend to describe, explain, predict or
prescribe a protocol/ intervention.
List statistical analyses that can be conducted to describe and derive meaning from the data
you propose to collect.
Describe what the statistical test can investigate in general, and then give it context
according to your study variables.
– Interpretation of anticipated results according to appropriate statistical tests
After describing the statistical test and what it can explain, write up a paragraph for each key
variable and what the anticipated results would be, based on previous studies/ similar studies
and the statistical tests you would conduct.
– Study limitations
Provide at least a paragraph describing limitations, beginning with any that arise from the
design (qualitative/ quantitative subtype), recruiting process, sampling method/ sampling
size, data management (instruments, data collection form, coding schema, storage, disposal),
statistical tests proposed, knowledge gaps or ability to successfully achieve the study aims/
goals.
10. Results/ Conclusions
Findings of similar studies in the literature (describe and cite studies from the lit review
matrix and their key findings)
Anticipated study findings if implemented- (describe how your study may demonstrate
similar findings/ variations based on differences in methodology).
Potential impact/ study implications- (describe what this study offers patients with the same
condition/ experience, what it offers the field of research).
Dissemination plan (this is your poster session, but you can also consider reporting findings
to key stakeholders, describe how your study findings will be shared).

Purchase answer to see full
attachment