Epi Info™ User Guide

Data Quality Check

Numeric Data Validation – Lower and Upper Bound

The Number field is a numeric field that has six predefined value patterns (e.g., xxx.xx). A new pattern can be created by simply typing the pattern into the Pattern field.

The Number field offers Range property. The Range property can be applied to Number or Numeric types. The Range allows for a specified value between one setting and another. Values falling outside a specified range will prompt the user with a warning message in the Enter module. Missing values are accepted unless the field is also designated Required.

How to:

Use Form Designer to open the data entry form:

• Select Oswego from “C:Epi Info 7ProjectsSampleSample.prjOswego”.
• Right click on the Age field.
• Select Properties option from the popup menu.
• Click on Range option.
• Enter the Lower and Upper values.

Data Quality Check

Legal Values

A Legal Values field is a drop-down list of choices on the questionnaire. These items cannot be altered by the person entering data. The only values legal for entry are the ones in the list.

Data Quality Check

Comment Legal Values

Comment Legal fields are similar to Legal Values. Comment Legal fields are text fields with a code typed in front of text (with a hyphen) so that in populating fields, the code is entered instead of the text. In the Classic Analysis module, the statistics are displayed with the codes only.

Data Quality Check

Auto Search

During data entry, fields with Autosearch Check Code are automatically searched for one or more matching records. If found, a match can be displayed and edited or be ignored and data entry can continue on the current record. Autosearch is used as an alert to potential duplicate records. However, the Autosearch command does not restrict users from entering duplicate records.

Data Quality Check

Skip Logic/Patterns

Skip patterns can be created by changing the tab order and setting a new cursor sequence through a questionnaire, or by creating Check Code using the GOTO command. Skip patterns can also be created based on the answers to questions using an IF/THEN statement.

Data Quality Check

Required

A Required field (formerly known as a Must Enter field) is a mandatory field. Since the properties are mutually exclusive, Required cannot be used in combination with Read Only. If a page contains a Required variable, the Enter module will prevent further page navigation until a value has been entered. Use this property sparingly to avoid gridlock.

Data Quality Check

Calculated Age

If possible, always use the Years command to calculate from the birth and the data entry date.

Analysis

Check for Duplicate Records

Using Frequency, check for duplicate records.

How to:

• READ {C:Epi Info 7ProjectsSampleSample.prj}:Oswego.
• FREQ CODE.
• SELECT CODE = “P55”.
• LIST * GRIDTABLE.

Analysis

Delete Duplicate Records

Helps you delete or remove duplicate records.

How to:

• READ {C:Epi Info 7ProjectsSampleSample.prj}:Oswego.
• FREQ CODE.
• SELECT CODE = “P55”.
• LIST * GRIDTABLE.
• DELETE UNIQUEKEY = 1 PERMANENT.

Analysis

Missing Data

Using the SELECT command, this technique allows you to find missing records for specific fields or variables.

How to:

• READ {C:Epi Info 7ProjectsSampleSample.prj}:Oswego.
• SELECT DATEONSET = (.).
• LIST * GRIDTABLE.

Reserved Words

For a list of reserved words, see the List of Reserved Words section of the User’s Manual.
 

PDF

Appendix [PDF – 153 KB]:
A printable version of the Epi Info 7 User Guide Appendix, available for download in PDF format.

Word Doc

Appendix [Word – 31.6 KB]:
A printable version of the Epi Info 7 User Guide Appendix, available for download in Word Doc format.