Purpose: To assess the synthesis of key course concepts and the ability to design and implement a statistical analysis plan
Chapter III. Methodology.
Study Design. Chapter III should begin with the study design, and whether the project will be quantitative, qualitative or a combination. It should be sufficiently detailed
to enable others to understand the step-by-step account of what will be done, in what
order, how and by whom.
Population and Sample. In this section, provide a summary of the sample and the
population from which the sample is drawn. A description of their defining characteristics and the procedures used to recruit them should be included.
Instrumentation. In this section, describe the instruments that were obtained or modified for this project. Surveys or questionnaires designed by others should be valid and reliable and credit should be cited for the original authors, as well as any permissions obtained to use the instrument/s.
Note it is not within the scope of study within the DNP CSP at Brandman
instrument.
Data collection. Outline in detail the methods that will be used to collect information.
Describe the procedures that will be used to collect the required data from
participants. In short, list all activities needed to gather information for the project
(including IRB approval and assurance of confidentiality) and describe each activity in enough detail so another competent researcher could duplicate the project.
Data analysis. Describe how data will be scored and analyzed; identifying
appropriate statistical methods . If the proposed project is to employ qualitative methods,identify the ways in which the data will be processed and analyzed.
Summary. A brief summary of the chapter may be included in this section.
Appraise the contribution of statistical inference to clinical problem solving in evidence based practice.
Evaluate the results of a statistical analysis of nursing, psychosocial, epidemiological, or medical data using principles of statistical inference appropriate to the problem.
Evaluate the contribution of effect size, confidence interval, p value, and power to the critical appraisal of scientific and clinical evidence.
Design and implement a statistical analysis plan for assessing the reliability and validity of an instrument used to collect health outcome data.
Design and implement a statistical analysis plan for nursing, psychosocial, epidemiological, or medical data using principles of statistical inference appropriate to the problem.
