The Working With Data test evaluates candidates' ability to work with data, including handling data correctly and performing basic data analysis. This test helps you identify candidates who understand how to work with data to track and present results.
Understanding data handling concepts
Performing basic data analysis and interpretation
Working with graphs and charts
Data entry specialists, data analysts, marketing analysts, marketing managers, data assistants, and other roles that require working with data.
The ability to work with data is important in a wide range of roles, from data entry clerks to analysts and managers.
It is important that those working on inputting, reading, and manipulating the data have a solid understanding of the principles behind data management to avoid introducing errors that could have a significant impact on business outputs. A good understanding of data is also necessary when performing analysis or creating data visualizations to ensure that the data is being represented truthfully.
This Working With Data test evaluates candidates' understanding of data handling concepts and their skills in performing basic data analysis and interpretation and in working with graphs.
Candidates who perform well on this test have a strong grasp of data concepts, can ensure data integrity is maintained during input, and are able to carry out basic analysis, interpretation, and produce simple visualizations.
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Environmental consultant Jessie has honed her craft in multiple sectors, including oil and gas, transport, water treatment, and green energy. For 15 years, she has specialized in helping small businesses develop training programs, implement management systems, and navigate GDPR and privacy regulations.
Holding an MSc in Chemistry, Jessie also applies her scientific proficiency to data visualizations, scientific writing, and GIS analysis and mapping.
Reliability: Cronbach’s alpha coefficient = .66
Face validity: Candidates rated this test as accurately measuring their skills (average score of 4.03 out of 5.00).
Criterion-related validity: Candidates with higher scores on this test received higher average ratings from the hiring team during the selection process (r = .42).
For an in-depth look at interpreting test results, please take a look at our Science series articles: How to interpret test fact sheets (part 1): Reliability, and How to interpret test fact sheets (part 2): Validity.
For an explanation of the various terms, please refer to our Science glossary.
Reliability and validity | Sufficient data available | Analyses and checks conducted | Outcome |
---|---|---|---|
Reliability | ✔ | ✔ | Acceptable |
Content validity | ✔ | ✔ | Acceptable |
Face validity | ✔ | ✔ | Acceptable |
Construct validity | ✔ | ✔ | Acceptable |
Criterion-related validity | ✔ | ✔ | Acceptable |
Group differences | |||
Age differences | Pending | Pending | Pending |
Gender differences | ✔ | ✔ | Acceptable |
Ethnicity differences | Pending | Pending | Pending |
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