DQA TRAINING PRE-TEST

Which of the following are important reasons for conducting Data Quality Assessments

• To audit program data generated at service delivery points

• To become aware of the strengths and weaknesses of indicator data, as determined by applying the five data quality standards

• To know the extent to which data integrity can be trusted to influence management decisions.

• To know how program implementers are performing

Answer explanation

You are allowed to select more than one answer for this question

Which of these is NOT a USAID Data Quality standard?

• Validity

• Reliability

• Completeness

• Integrity

• Tidiness  

All the following are steps in conducting a DQA

I. Develop a protocol to guide you through the DQA process

ii. Engage the IP to run the process

iii. Review performance data to ensure data quality standards

iv. Develop a report identifying and documenting data quality limitations

v. DQA team retains supporting documentation on file

vi. Recommendations are acted upon by USAID or the IP

vii. DQA team shares report with supervisors, who in turn share with IPs

• True

• False

At what levels can DQAs be conducted?

• National/IP office 

• State    

• LGA      

• Health Facility

• All of the above

The following are important functional components of an M&E system to ensure data quality except:

• Indicator definitions & reporting guidelines

• Data Collection & reporting forms and tools

• M&E structures, functions and capabilities

• Knowledge of the organizational structure of the IP

• Incentives for staff collecting data at service delivery points

Which of the following best describes the term ‘Data Quality Assessment’?

i. A procedure for determining whether or not a data set is suitable for its intended purpose

ii. DQA is a performance evaluation

iii. DQA determines data’s “fitness for use

iv. DQA is a performance data audit

• All of the above

•      i and iii            

• i, ii and iii

• i and iv