Statistician for DNP Projects Statistical Consultation
Need a statistician/statistical consultant for your DNP project? Contact Dr. Su via email (drsu.statistics@gmail.com) or phone (808-4941545) for a free quote.
Statistician for DNP Projects Data Analysis and Statistics Help
Dr. Su specializes in data analysis and statistics help services for assisting postgraduate nursing students analyze the data collected for their Doctor of Nursing Practice (DNP) projects. Dr. Su is inspired by the fact that most nursing students have a hard time working on the data analysis for their DNP projects. Therefore, Dr. Su endeavors to provide the statistical consultation services needed to assist DNP students in producing high quality data analysis results. Dr. Su provides a wide range of PhD-level statistical consultation and data analysis services for DNP students, including
reviewing/revising the methodology section,
refining PICOT,
performing power analysis to determine the minimal sample size needed,
conducting all required data analyses to answer your PICOT question,
interpreting data analysis results,
creating a write-up for with high quality figures and tables for results,
identifying your specific school requirements and edit and format the DNP capstone paper accordingly,
explaining the results to you and coaching you for your proposal and final defenses, and
assistance with other needs of the DNP project.
One of the unique attributes of Dr. Su's statistical consultation is that it is client-centered. Subsequently, you and Dr. Su will work together to develop a personalized approach to your research questions. The statistics and methods used will match your interests and questions. You will receive a clear explanation of the statistical methods and results so you are in charge of your research and projects.
Dr. Su has helped many researchers in nursing practice complete their DNP capstone projects. Let Dr. Su help you, too! Email Dr. Su (drsu.statistics@gmail.com) and get started on your DNP project!
Benefits of Working with Dr. Su on your DNP Capstone Project
Dr. Yuhua Su is based in the United States. Coincidentally, the majority of her statistical consultation clients come from the US. It is worth mentioning that Dr. Su operates online. This means that you can access any of the statistical consultation services from wherever you might be, without travel to the services physically. With an internet-connected computer or smartphone, you can easily obtain Dr. Su's help for your DNP project.
Values that Dr. Su holds dear while offering statistics help for DNP capstone projects
Respect: Dr. Su values her clients. As a result of this, Dr. Su always considers their suggestions and follow the instructions while working on their DNP projects.
Honesty: You never have to worry about getting disappointed with Dr. Su's statistical consulting services. Dr. Su will never claim that she can do something that she knows that she does not have the expertise to do it.
Integrity: Dr. Su works transparently. Dr. Su understands the negative consequences that come as a result of failing to do the right thing (e.g., plagiarism can result in the termination of a student’s research).
Diversity: Dr. Su is an expert of common statistical software, such as SPSS, SAS, EXCEL, R, and NVivo, and knowledgeable about statistics. Regardless of your PICOTs, methods, or analysis plans, Dr. Su can help you analyze your data.
"Dr. Su thank you so much, although my words are just an expression of gratitude, please know I am grateful for everything you have done. The paper looks so good that I am actually scared to turn it in, cause it is so well done and structured. I will always have you in mind and will definitely refer you to my friends/colleagues. Thank you again Dr. Su!" -- United States
Common Statistical Data Analysis Methods for DNP Capstone Projects
Two-sample t-test (or independent samples t-test)
Paired t-test
Categorical data analysis (Chi-square test, Fisher's exact test, Cochran-Armitage trend test, Cochran-Mantel-Haenszel (CMH) test, Kappa statistic, and McNemar's test)
Descriptive statistics
Pearson's correlation coefficient
Analysis of variance (ANOVA)
Analysis of covariance (ANCOVA)
Multivariate analysis of variance (MANOVA)
Repeated measures ANOVA
Exploratory factor analysis
Confirmatory factor analysis
Linear regression
Logistic regression
Non-parametric tests (e.g., Mann-Whitney U test and Wilcoxon signed-rank test)
Qualitative data analysis (e.g., thematic analysis)
"Good afternoon- I wanted to share with you that I successfully defended my dissertation last week. I cannot thank you enough for the excellent and thorough job you did on my statistics. I am so glad that I found you and I will definitely recommend you in the future!" -- United States