A data dictionary contains important information about variables and data entered into databases
When databases are created during the planning stages of a research study, variable names are created, the codifications of categorical and ordinal variables are chosen, and the scales of measurement for all demographic, predictor, confounding, and outcome variables are specified. The data dictionary serves as a repository for this type of study data. Data dictionaries are created concurrently with databases and provide important information about the variables and data entered into databases.
The data dictionary contains information about each variable and the data that is being collected for each variable. For each variable in a database, researchers should enter the following information into a data dictionary:
1. The name of the variable
2. The codifications or levels of each categorical or ordinal variable
3. The scale of measurement for the variable
Data dictionary examples
Gender - 0 = male and 1 = female, categorical
Gender is the name of the variable, "0 = male and 1 = female" are the codifications for both levels, and the variable is measured at a categorical level.
Another example would be for a Likert-type variable:
Satisfaction - 1 = Strongly Dissatisfied, 2 = Dissatisfied, 3 = Neither Satisfied or Dissatisfied, 4 = Satisfied, and 5 = Strongly Satisfied, ordinal
Satisfaction is the name of the variable, the numerical headings associated with each level is presented, and the variable is measured at an ordinal level.
Finally, an example of a continuous variable:
BMI - Enter the BMI value, continuous
BMI is the name of the variable, the continuous value of BMI is entered, and the variable is measured at a continuous level.
Importance of a data dictionary
Creating an objective and standardized methodology for data entry is EXTREMELY important in the beginning stages of planning a study. Communication and collaboration are also of paramount importance when planning data collection.
Statistician Services for Students
Eric Heidel, Ph.D. will provide the following services for undergraduate and graduate students at $50/hour. Secure checkout is available with Stripe or PayPal.
- Statistical Analysis
- Research Design
- Sample Size Calculations
- Diagnostic Testing and Epidemiological Calculations
- Survey Design and Psychometrics
AppNotch: Convert this website into an Android and iOS app.
AppNotch team will notify you when your app gets approved in Google Play and Apple iTunes App Stores. Once your app goes live, enter your App Store URLs in this property window, publish your Weebly site and your app store icons will be visible in this page.
Please visit AppNotch.com FAQ to learn more about how to add App Store icons to your website, update your app, send Push notifications and more.
Professional Statistician For Hire!
Copyright © 2019 Scalë. All Rights Reserved. Patent Pending.