DNP 830 Assignment: Creating a Data Collection Sheet

DNP 830 Assignment: Creating a Data Collection Sheet

DNP 830 Assignment: 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.

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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,” located in the DNP-830A folder of the DNP PI Workspace to complete this assignment.

Doctoral learners are required to use APA style for their writing assignments. The APA Style Guide is located in the Student Success Center.

This assignment uses a rubric. Review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are not required to submit this assignment to LopesWrite.

Learners will submit this assignment using the assignment dropbox in the digital classroom. In addition, learners must upload this deliverable to the Learner Dissertation Page (LDP) in the DNP PI Workspace for later use.

Directions:

Part 1:

Using the “Data Collection Sheet Template,” create a data dictionary for your DPI Project. Refer to the examples within the template.

Click on the Data Dictionary tab.

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.)

Include descriptions for the variable name, variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values.

Part 2:

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.

Click on the Data Collection Sheet tab.

Edit Row 1 to match the variable names in the data dictionary.

Edit Row 2 to include example responses for each variable.

Portfolio Practice Immersion Hours:

It may be possible to earn portfolio practice immersion hours for this assignment. Enter the following after the References section of your paper:

Practice Immersion Hours Completion Statement DNP-830A

I, (INSERT NAME), verify that I have completed and logged (NUMBER OF) clock minutes/hours in association with the goals and objectives for this assignment. I also have tracked said practice immersion hours in the Lopes Activity Tracker for verification purposes and will be sure that all approvals are in place from my faculty and practice immersion preceptor/mentor before the end of the course.

Creating a Data Collection Sheet – Rubric

LISTGRID

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Rubric Criteria

Total110 points

Criterion

1. Unsatisfactory

2. Insufficient

3. Approaching

4. Acceptable

5. Target

Data Dictionary: Data Variables

Include all data variables (data points) that will be collected for the DPI Project, including demographics and any surveys, instruments, and tools.
0 points

Data for variables that will be collected for the DPI Project are omitted.
22 points

Data for variables that will be collected for the DPI Project are incomplete.
24.2 points

Most essential data for variables that will be collected for the DPI Project are presented. Some general information on demographics and any surveys, instruments, and tools are presented

25.3 points

Data for variables that will be collected for the DPI Project is complete and adequately presented. This includes demographics and any surveys, instruments, and tools.
27.5 points

Data for variables that will be collected for the DPI Project are complete and clearly presented. Demographics and any surveys, instruments, and tools are included.

Data Dictionary: Descriptions for Variables

Include descriptions for variable name, variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values.

0 points

Descriptions for variable name are not presented.

22 points

Descriptions for variable name are incomplete.

24.2 points

Descriptions for variable name, including variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values, are presented. Some descriptions are inaccurate or unclear.

25.3 points

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Descriptions for variable name, including variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values, are complete and adequately presented.
27.5 points

Descriptions for variable name, including variable description, data source, level of measurement, possible values, SPSS coding instructions, and missing values, are complete and clearly presented.

Data Collection Sheet: Row 1

Row 1 is edited to match variable names in the data dictionary.
0 points

Row 1 is not edited and to match the variable names in the data dictionary.
22 points

Row 1 is incomplete.

24.2 points

Row 1 is edited to match the variable names in the data dictionary but there are inconsistencies.

25.3 points

NA

27.5 points

Row 1 is edited to match the variable names in the data dictionary.

Data Collection Sheet: Row 2

Row 2 is edited to include example responses for each variable.

0 points

Row 2 is not edited to include example responses for each variable.
22 points

Row 2 is incomplete.

24.2 points

Row 2 is edited to include general example responses for each variable. It is unclear how some example responses are relevant to the variable.
25.3 points

Row 2 is edited to include adequate example responses for each variable.
27.5 points

Row 2 is edited to include relevant example responses for each variable.