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More about the TestGorilla NumPy 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.

Back to the NumPy test page

Available languages:
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Programming skills icon

Test type:


Programming skills

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Administration time:

10 minutes

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Difficulty level:


Intermediate

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Number of questions:


16 questions per test, 89 in the test bank

Programming skills icon

Test type:


Programming skills

Clock icon

Administration time:

10 minutes

Slider icon

Difficulty level:


Intermediate

List icon

Number of questions:


16 questions per test, 89 in the test bank

Psychometric properties of the NumPy 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 = .64

Face validity: Candidates rated this test as accurately measuring their skills (average score of 3.70 out of 5.00, N = 192).

Criterion-related validity: Candidates with higher scores on this test received higher average ratings from the hiring team during the selection process (r = .22, N = 119).

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

Use these tests with the NumPy 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 NumPy test.

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DISC

The DISC test is based on the model developed by psychologist William Marston for behavioral assessment. It classifies how we express emotions into the four behavior types of DISC: dominance (D), influence (I), steadiness (S), and conscientiousness (C).
10 min

Data Wrangling

This Data Wrangling test evaluates a candidate’s ability to clean, organize, and transform data for easier analysis. This screening test will help you hire data wrangling experts who can complete any task related to data preprocessing.
10 min

Critical Thinking

This online Critical Thinking screening test evaluates candidates’ skills in critical thinking through inductive and deductive reasoning problems. This pre-employment skills test will help you identify candidates who can evaluate information and make sound judgments using analytical skills.
12 min

Working With Generative AI

This Working with Generative AI test assesses candidates’ understanding and application of generative models. This screening test will help you hire experts who can leverage AI for innovative solutions and efficient workflows.
10 min
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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 NumPy test in your assessment and find your future top performers.