Dnp-830a data analysis | Nursing homework help

TOPIC: Creating a Data Collection Sheet

Assessment Description

Creating a data collection sheet helps the project manager be more efficient when carrying out a quality improvement project. With a data collection sheet, you can easily fill out and organize your data efficiently. A data collection sheet should always be accompanied by a data dictionary. Data dictionaries are used to provide detailed information about the contents of a database, such as the names of measured variables, their data types, and text descriptions. A data dictionary provides a concise guide to understanding and using the data. This assignment includes the creation of a data dictionary and data collection sheet that will be used for your DPI Project in DNP-960A. 

General Requirements:

Use the following information to ensure successful completion of the assignment:

  • Before beginning this assignment, read Chapter 12 in Clinical Analytics and Data Management for the DNP.
  • Use the “Data Collection Sheet Template,” ATTACHED to complete this assignment.
  • Doctoral learners are required to use APA style for their writing assignments.


Part 1: 

  1. Using the “Data Collection Sheet Template,” create a data dictionary for your DPI Project. Refer to the examples within the template.
  2. Click on the Data Dictionary tab.
  3. Include all data variables (data points) that will be collected for your DPI Project, including demographics and any surveys, instruments, and tools. (Refer to Chapter 12 in Clinical Analytics and Data Management for the DNP for examples, as needed.)
  4. Include descriptions for the variable name, variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values.

Part 2: 

  1. Using the “Data Collection Sheet Template,” create your own template for your DPI Project. Please note that you are not collecting data for your DPI Project for this assignment.
  2. Click on the Data Collection Sheet tab.
  3. Edit Row 1 to match the variable names in the data dictionary.
  4. Edit Row 2 to include example responses for each variable.
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