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.

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Use this test

Test type: 

Programming skills

Administration time: 

10 minutes

Difficulty level: 

Intermediate

Number of questions: 

16 questions per test, 89 in the test bank

Test type: 

Programming skills

Administration time: 

10 minutes

Difficulty level: 

Intermediate

Number of questions: 

16 questions per test, 89 in the test bank

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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).

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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 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 = .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.

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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See all of our tests

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).

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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.

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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

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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.

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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.

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