The research problem is the foundation of any study. In identifying
research problems, researchers articulate areas of concern or
investigation. Once identified, research problems drive the research
questions and ideally lead to understanding of the research findings.
In this first part of the Scholar Practitioner Project (SPP),
you will develop an introduction/problem statement focused on the
importance of your research topic as a public health issue. You will
also develop a research question based on this problem and propose a
statistical analysis plan for study of this area.
Review the module Learning Resources. (See attachments)
Review the original data set (not the one that you modified for the
Discussion) that you selected for your Scholar Practitioner Project in
Module 1 and open it in SPSS. (see attachment Md2Assgn_Brown_T(1).
Part 1: Variables (2 pages including frequency tables)
Using your original data set, perform the following operations to include in your report:
Select a continuous variable from the data set and provide full definition for each variable.
Convert a continuous variable to a categorical variable (which may be used to answer one of your research questions).
Provide an explanation of how you converted the variable.
Produce frequency tables for the new variable you made.
If any of the cells in your frequency table has fewer than 6
individuals in it, combine that level with other levels so there is no
frequency less than 6.
Submit descriptive statistics for the new variables.
Submit each of these elements in your Part 1 report.
Part 2: Research Questions and Statistical Analysis Plan (1–2 pages)
Write a brief introduction/problem statement on the importance of
your research topic as a public health issue. This should be similar to
one that you might submit for your Doctoral Study.
Support your response, with a limited review of the current literature (3–5 references)
Translate your research topic into research question(s).
Describe the study population you selected for your project (study
population is defined based on your research topic) and a rationale for
the chosen population.
Include a list of variables (dependent, independent, confounding,
etc.) from your selected data set, that you will be using to answer your
research question(s).
Include a rationale for why you think those variables are enough for answering your research question.
Describe the levels of measurement for each variable.
Develop a statistical analysis plan (no analysis will be completed in this section), including:
Descriptive methods you will be using to describe data
Analytic methods you will be using to answer your research question(s). Include the following:
Describe the statistical test you will be using.
Why this test is appropriate to answer your research question?
Why this test is appropriate for using the list of variables you selected for your research question?
How will the results of this statistical test help you to answer your research question?
Indicate the methods you will be using to display your findings.
Select a sample from NHANES and indicate the sample size and the
method for calculating the sample size, including your power
calculations.
Include G*Power output(s) to support your calculation(s) for sample size.
Heinrich-Heine-Universität Düsseldorf. (2023). G*Power
Links to an external site.. https://www.psychologie.hhu.de/arbeitsgruppen/allgemeine-psychologie-und-arbeitspsychologie/gpower
Download G*Power 3.1.9.7 for Windows
Links to an external site. 7 to 13 (about 2 MB).
Links to an external site. XP, Vista, 7, 8, 10 and 11 (about 20 MB). Please make sure to choose “unpack with folders” in your unzip tool.
Download G*Power 3.1.9.6 for Mac OS X
