Using DDI and metadata in research analyses, reporting and dissemination: Use case for the development of risk prediction algorithms in health

Variable Description

Name
thu_10
Label
Using DDI and metadata in research analyses, reporting and dissemination: Use case for the development of risk prediction algorithms in health
Dataset
NADDI2019Evaluation
Value Label Frequency % of valid % of all
. 9
37.50 %
0 Did Not Attend 2
13.33 %
8.33 %
4 Somewhat Satisfied 6
40.00 %
25.00 %
5 Very Satisfied 7
46.67 %
29.17 %
Valid Invalid Min Max Mean StdDev
15 9 0 5 3.93 1.67

Representation

Type
Code List
Selection Style
SelectOne
Role
input
Aggregation Method
Unspecified
Temporal
False
Geographic
False

Lineage

  • NADDI2019Evaluation - thu_10
    Using DDI and metadata in research analyses, reporting and dissemination: Use case for the development of risk prediction algorithms in health

Concordance