More about our Data Science 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, Spanish

Use this test

Test type: 

Role-specific skills

Administration time: 

10 minutes

Difficulty level: 

Intermediate

Number of questions: 

20 questions per test, 89 in the test bank

Test type: 

Role-specific skills

Administration time: 

10 minutes

Difficulty level: 

Intermediate

Number of questions: 

20 questions per test, 89 in the test bank

Psychometric properties of the Data Science test

The metrics reported below are based on a sample size (N) of at least 1,000 candidates unless indicated otherwise.

Reliability: Cronbach’s alpha coefficient = .77

Face validity: Candidates rated this test as accurately measuring their skills (average score of 3.72 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 = .38, N = 118).

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	Pending	Pending	Pending
Criterion-related validity	✔	✔	Acceptable
Group validity
Age differences	Pending	Pending	Pending
Gender differences	Pending	Pending	Pending
Ethnicity differences	Pending	Pending	Pending

Use these tests with the Data Science 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 Data Science test.

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