More about the TestGorilla Working with Data test
Discover the science behind this test and check out the recommended tests you may find useful alongside it in an assessment.
Scroll down for the latest validity study and suggested additional tests.
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Available languages: English, Dutch, French, German, Italian, Japanese, Portuguese
Test type:
Administration time:
10 minutes
Difficulty level:
Intermediate
Number of questions:
12 questions per test, 100 in the test bank
Test type:
Administration time:
10 minutes
Difficulty level:
Intermediate
Number of questions:
12 questions per test, 100 in the test bank
Scoring benchmarks
Benchmarks are available for various education levels (ranging from some high school education to Master’s degree or higher), business functions (from administrative to software development), and seniority levels (junior to senior).
Psychometric properties of the Working with Data test
The metrics reported below are based on a sample size (N) of at least 1,000 candidates unless indicated otherwise.
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 |
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.
Use these tests with the Working with Data test
We believe that multi-measure testing is essential in a holistic hiring process because it examines the candidate as a whole, including technical skills, soft skills, and personality. Below are some tests we recommend using alongside the Working with Data test.
Attention to detail (textual)
Data Storytelling
DISC
Critical thinking
Use TestGorilla to discover top candidates
Unlock the power of successful hiring! Streamline your hiring process, make informed decisions, and build a team that drives success. Begin your journey to a stronger team – use our Working with Data test in your assessment and find your future top performers.