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

Quiz 6

Data Collection and Analysis Quiz

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