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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.
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.
Data Dictionary
Variable Name
tc={2D9BAF46-2931-4706-B607-7205B1C2D1E8}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include the variable names of the data being collection including all demographic data, tools, instruments, and surveys.
Variable Description
tc={3AA356AD-AF13-4B7F-A50F-4D128120D450}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include a detailed variable definition for all data being collected all demographic data, tools, instruments, and surveys. Include the full question for valid and reliable tools, instruments, and surveys in this column.
Data Source
tc={A69C1F69-D16F-4FC3-AB63-8200B9DA72F2}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include the source of data for each variable iall demographic data, tools, instruments, and surveys.
Level of Measurement
tc={D5D579D5-396C-4E6C-B630-82172FE219A4}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include the level of measurement for all demographic data, tools, instruments, and surveys.
Possible Values
tc={9341C613-E5B4-41FD-A955-33C5B2695AB1}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include any possible values or responses to the variables including all demographic data, tools, instruments, and surveys.
SPSS Coding Instructions
tc={F24F5056-C748-4E64-A638-95B2371CC913}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include how each variable will be coded in SPSS, Intellectus, or other analysis program for all demographic data, tools, instruments, and surveys.
Missing Values
tc={F7A947E1-933A-467A-9A00-62D0B23FD4EA}: [Threaded comment] Your version of Excel allows you to read this threaded comment; however, any edits to it will get removed if the file is opened in a newer version of Excel. Learn more: https://go.microsoft.com/fwlink/?linkid=870924 Comment: Include how missing data will be identified for all demographic data, tools, instruments, and surveys.
Ex. Age
Ex. Age at time of hospitalization
Ex. EHR
Ex. Ratio
Ex. 18 – 115
Ex. In years
Ex. 99
Ex. Gender
Ex. Gender
Ex. EHR
Ex. Nominal
Ex. Female, Male
0=female, 1=male
Ex. 99
Data Collection Sheet
PatientID
Subgroup
Age
Gender
Race
Ethnicity
Maritial Status
Education
Employment
Instrument1
Instrument2
Instrument3
Ex. 1
Ex. Pre
Ex. 26
Ex. 0
Ex. 1
Ex. 2
Ex. 0
Ex. 2
Ex. 1
Ex. 5
Ex. 4
Ex. 3
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