I would like to hire a Statistician

Analysis of data needed for a doctor of nursing practice project. The project has a small sample size. Project current in the implementation phase and analysis required to start the week of November 29, 2018.

The project uses the Adherence Starts with Knowledge 20 (ASK-20) survey as a pre, and the post-test survey will produce information that will provide information to answer the project PICOT question and outcomes. In this project, participants will complete the pre-test on enrollment and the post-test 7 days after the receiving the intervention either in-person or via phone with an assistant.

• The survey provides the opportunity for three types of scoring: individual item dichotomization, Total Barrier Count (TBC), and total ASK-20 score.

- Individual item dichotomization identifies individual barriers

- Total barrier count determines the severity of non-adherence by totaling the number of

barriers for each respondent. Accurate analysis of TBC requires reverse coding for certain


- ASK-20 score provides a raw score (20-100) with more barriers to adherence represented by a high score.

• Proposed Analysis of data includes

- Descriptive statistics for demographic, clinical variables

- T-Test performed to evaluate whether a statistically significant change has occurred

between scores.

• Outcome measures:

The decrease in barriers to treatment adherence (Questions 1-15)

- A decrease in lifestyle barriers to treatment adherence (Question 1-6)

- Increase in attitudes and beliefs in prescribed treatment (Questions 7 and 8)

- Increase in the report of receiving help from others (Question 9)

- Increase in the report of speaking with healthcare team (Questions 10-12)

- The decrease in the report of not taking medications as directed (Questions 13-15)

A decrease in non-adherence behaviors (Questions 16-20)

Skills: Research, Research Writing, SPSS Statistics, Statistical Analysis, Statistics

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About the Employer:
( 0 reviews ) Rockaway Park, United States

Project ID: #17779803

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