DNP Capstone
Make Your Doctor of Nursing Practice Project Exemplary!
Academic Coaching, Editing & Data Analysis
"Final scholarly projects are the culmination of the DNP educational process. Using the DNP Project Critical Appraisal Tool (DNP-PCAT) 65 DNP practice projects were randomly selected from online repositories and the ProQuest database. The mean total score for all projects was 78 of 141 or 56% of the possible maximum score. Particularly concerning was a lack of critical evaluation, implementation, outcomes, and valid data analysis."
Academic Coaching, Editing & Data Analysis
"Final scholarly projects are the culmination of the DNP educational process. Using the DNP Project Critical Appraisal Tool (DNP-PCAT) 65 DNP practice projects were randomly selected from online repositories and the ProQuest database. The mean total score for all projects was 78 of 141 or 56% of the possible maximum score. Particularly concerning was a lack of critical evaluation, implementation, outcomes, and valid data analysis."
In 2004, the American Association of Colleges of Nursing (AACN) voted to move the level of preparation necessary for advanced nursing practice from the Masters (MSN) to the Doctoral degree level. Since then, nearly 500 Doctor of Nursing Practice (DNP) programs have been established throughout the country, making DNPs the fastest-growing group of licensed healthcare providers in the industry. However, the final practice/quality improvement project requires a standard of research, data analysis, and writing skills for which many DNP students are not well prepared to meet. Since 2010, we have assisted hundreds of DNP candidates navigate through the scholarly project process and provide the support and guidance needed to help make YOUR manuscript exemplary. Services include:
- Academic Tone
- APA & AMA Writing Styles
- Data Analysis (e.g., T-Test, ANOVA, Chi-Square, Trend Analysis)
- Developmental Editing
- Editing for ESL Learners
- Graphs & Data Tables
- Hypothesis Testing
- Identifying Theoretical Models
- Interpretation of Findings
- PICOT Question Development
- Sample Size Estimates
- Scientific Writing
- Survey Design
- Translational Research
- Validating Research Tools (e.g., Agree II)
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