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N758PE Advanced Statistics Final Project | DNP SPSS Data Analysis Plan, Paired Samples t-Test, Wilcoxon Test, ICCAS-R & Data Management | 2026 Update.

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N758PE Advanced Statistics Final Project | DNP SPSS Data Analysis Plan, Paired Samples t-Test, Wilcoxon Test, ICCAS-R & Data Management | 2026 Update.

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Final Project

Vanessa L-A Gorman

American Sentinel University

2025_FEB_N758PE_Advanced Statistics_1

Dr. Kristine Skalsky

3 June 2025

, 2


This Doctor of Nursing Practice (DNP) project investigates whether a targeted

educational intervention impacts emergency nurses’ interprofessional collaboration skills,

particularly with paramedics in the prehospital care environment. Utilizing a quantitative,

quasi-experimental, one-group pretest-posttest design, the study evaluates changes in

participants' scores on the Interprofessional Collaborative Competency Attainment Survey-

Revised (ICCAS-R). The convenience sample includes post-graduate trained emergency

nurses from two major healthcare systems in Melbourne, Australia. Data will be collected

electronically through SurveyMonkey and analyzed using SPSS.

The primary instrument, the ICCAS-R, is a validated tool that measures self-reported

competencies across six domains of interprofessional collaboration (Schmitz et al., 2017).

The ICCAS-R will be administered both before and after the intervention to determine the

impact of the educational program. Demographic data, including age, gender, education, and

years of emergency experience, will also be collected. This paper outlines the data analysis

and management strategies used to ensure statistical integrity, confidentiality, and compliance

with ethical standards.




Data Analysis Plan

The data analysis plan for this DNP project will use data collected from pre- and post-

intervention surveys which will be analyzed to determine changes in the ICCAS-R scores the

educational intervention. Further descriptive statistics will form the summary of demographic

variables which also will be collected that include age, gender, and place of birth for

example. The descriptive statistics seek to provide a picture of the study population to

evaluate the generalizability of the study. The analysis will be conducted using IBM SPSS,

and the level of significance that will be used to accept or reject the evaluative outcome will

be 95% or a p-value of ≤ .05.

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