Quiz 6

A visually appealing infographic that illustrates data collection, validation, and analysis techniques with images of charts, tools, and participants engaged in a study.

Data Collection and Analysis Quiz

Test your knowledge of data collection, validation, and analysis processes with our comprehensive quiz. This quiz covers various aspects of data management, including common challenges, roles of help desks, and performance analysis techniques.

  • 20 engaging questions
  • Multiple choice and checkbox formats
  • Focus on data integrity and reporting
20 Questions5 MinutesCreated by AnalyzingData101
Which one is NOT part of the process to ensure the acquisition of complete and accurate data:
Development of a Data Collection Pack
Contacting the participants
setting up a Help Desk
Validation of received data
The Data Collection Pack is everything issued by the facilitators of the study to the participants in order to collect the agreed data and information from them
True
False
Which one is NOT a format that the Data Collection Pack normally takes:
An electronic spreadsheet
Paper-based packs
Web-based data (a website)
A Power Point presentation
Which one is a common situation that causes difficulties when interpreting the submitted data:
The true value is zero
The true value is not known
The data item is not relevant to the participant
All of the above
Which one is not a role of a Help Desk:
Requesting additional funds from management
monitoring study progress
Capturing queries as a source of potential improvements for future studies
Resolving participants' queries regarding data submissions
Which one is NOT a part of data validation procedure:
Comparing with submissions from previous studies
Comparing with other participants as well as norms and expected values
Checking that the data is complete and consistent
Deleting the suspicious entry without participants' agreement
Such tools as bar charts and scatter diagrams are often used to identify potential errors during data validation process.
True
False
Which one is NOT a major step in data analysis:
analysis of late data submissions
Performance gap analysis
Analysis of the causes of the gap
When drawing a bar chart to conduct the performance gap analysis, the convention is to display the superior performance on the right.
True
False
Technical Limit is a theoretically determined value (an ideal performance) which is easily attainable.
True
False
The display of which indicator on the chart is questionable (open to a justified criticism):
Average
Technical limit
Top quartile
Best in class
Target performance is a performance level believed to be achievable by a typical participant.
True
False
A Pace Setter is a participant who has the best overall performance, including consistency over time.
True
False
Which one is NOT an example of a mitigating circumstance:
Causes due to a one-off event (an extreme weather)
an unknown cause of poor performance
Causes due to a company policy
Causes outside the control of the participant (legal requirements)
The two main customers of the final report in the participating organization are:
Managers and Help Desk
Managers and facilitators
managers and implementation team
The final report typically includes the following section:
Additional information (supplemental charts, analysis of theories and trends, etc)
Introduction to the study (which includes summary information for all participants)
participant specific report
All of the above
Which of the chart(s) are likely to be used in the participant specific section of the report:
Spider
Scatter
Stacked bar
All of the above
When all participants have access to all data in the study, this type of study is referred to as
partially anonymized
Fully anonymized
Fully open
None of the above
In this type of benchmarking study, the facilitator is acting as a go-between and the names of the study participants are removed from the charts:
none of the above
Fully anonymized
Partially anonymized
Fully open
The type of studies, where financial data is anonymized and other data is not, is called
Partially anonymized
Fully anonymized
Fully open
None of the above
{"name":"Quiz 6", "url":"https://www.quiz-maker.com/QPREVIEW","txt":"Test your knowledge of data collection, validation, and analysis processes with our comprehensive quiz. This quiz covers various aspects of data management, including common challenges, roles of help desks, and performance analysis techniques. 20 engaging questionsMultiple choice and checkbox formatsFocus on data integrity and reporting","img":"https:/images/course3.png"}
Powered by: Quiz Maker