What is criterion-related validity? Definition & importance

When hiring a candidate, how do you know if they’ll actually perform well on the job? Resumes can be exaggerated, interviews can be rehearsed, and even reference checks don’t always reveal the full picture. That’s where criterion-related validity comes in.

In simple terms, criterion-related validity tells us whether a test can accurately predict real-world performance. If a pre-employment test claims to measure a candidate’s problem-solving skills, does it actually reflect their ability to solve problems on the job? 

Ensuring that assessments are valid and reliable is critical to hiring success for employers. A test might look well-designed, but if it doesn’t correlate with job performance, it’s just another set of questions with no real value. 

Understand why using scientifically validated assessments (like those from Testlify) can make the difference between hiring a top performer or a costly misfit. Let’s dive in.

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What is criterion-related validity?

Criterion-related validity measures how well a test or assessment predicts real-world performance. 

In simpler terms, If an assessment is valid, the people who score high on it will most likely perform better in their jobs, while those who score low might struggle.

For example, imagine you’re hiring a sales executive. You use a sales aptitude test to screen candidates. Now, how do you know that the test actually works? 

You check if the candidates who scored high on the test are actually closing more deals and bringing in higher revenue. If there’s a strong correlation between test scores and job performance, then your test has high criterion-related validity.

But if there’s no clear link between test results and real-world success, then the test might not be as effective as you thought. And that’s a problem because using an invalid test can lead to bad hiring decisions.

This concept isn’t just limited to hiring. Criterion-related validity is widely used in the following:

• Pre-employment assessments – To ensure the best hires
• Academic performance – To predict student success in higher education
• Employee performance evaluations – To link test scores with job productivity

The key takeaway? Not all tests are created equal. Just because an assessment looks good doesn’t mean it actually works. 

That’s why recruiters, HR professionals, and businesses must always ensure that their hiring assessments are scientifically validated before using them to make decisions. The stronger the correlation coefficient, the more effective the test is in predicting outcomes.

Now that we understand criterion-related validity let’s explore its two major types and how they impact recruitment.

Types of criterion validity

Not all tests predict real-world performance the same way. That’s why criterion-related validity is divided into two main types:

Predictive validity: Can a test predict future success?

This type of validity checks whether a test can accurately predict how well someone will perform in the future.

For example, let’s say a company conducts a pre-employment coding test for software developers. If candidates who score high on the test end up excelling in their jobs six months later, the test has high predictive validity.

Where it’s used:

• Hiring & recruitment – Predicting which candidates will be top performers
• University admissions – SAT scores predicting college success
• Medical & licensing exams – Ensuring professionals meet future job standards

The challenge? Predictive validity takes time to measure. Employers need to track employee performance over months (or even years) to confirm whether the test was useful.

Concurrent validity: Does a test reflect current performance?

Instead of waiting to see results in the future, concurrent validity compares test scores with existing performance data.

For example, imagine a company giving an analytical reasoning test to its employees. The test has strong concurrent validity if the highest-scoring employees are already top performers.

Where it’s used:

• Employee assessments – Checking if a test aligns with current job performance
• Certifications & skill evaluations – Verifying if professionals have the required expertise
• Health & psychological testing – Diagnosing existing conditions accurately

Criterion-related validity example

Let’s take a real-world hiring scenario. Imagine you’re recruiting for a sales executive position and decide to use a sales aptitude test as part of the selection process. The goal? This is to ensure that only candidates with the right skills and mindset make it through.

After six months, you analyze the performance of the new hires. You compare their test scores with their actual sales performance. You measure performance through criterion variables like revenue generated, number of deals closed, and client retention rates. You notice a clear pattern: 

1. Candidates who scored high on the sales aptitude test are performing exceptionally well. 
2. Those who scored low are struggling, missing their targets, and require extra guidance. 

This is predictive validity in action. The test successfully predicted future job performance, proving that it’s an effective tool for hiring.

Now, let’s consider another case. Suppose a company wants to check whether its analytical reasoning test is truly useful in assessing data analysts. 

To verify, employers give the test to their existing employees and compare scores with their current job performance metrics. If those who score well on the test are already top performers in the workplace, this confirms concurrent validity. 

In recruitment, criterion-related validity is a necessity. A poor hiring decision due to low criterion-related validity can have serious consequences. That’s why companies must ensure their assessments are backed by scientific validation before using them in hiring.  

If an assessment can’t accurately predict success, it’s just another set of questions, not a hiring tool. That’s why platforms like Testlify focus on pre-employment tests designed with strong validity measures.

How to measure criterion-related validity?

Measuring criterion-related validity involves checking whether a test’s scores align with real-world performance. Here’s how it’s done:

1. Define the criterion variable – Identify what success looks like (e.g., sales numbers, project completion rates, job performance reviews).

2. Administer the test – Give the assessment to candidates or employees and collect their scores.

3. Compare scores with real performance – Track their actual performance over time (for predictive validity) or compare with current employees (for concurrent validity).

4. Analyze correlation – Use statistical methods like the correlation coefficient to check if higher test scores truly link to better job performance. A positive correlation means the test is valid.

5. Refine & improve – If the test isn’t accurately predicting performance, adjustments may be needed to improve its validity.

For recruiters and HR professionals, using scientifically validated tests (like those from Testlify) ensures hiring decisions are backed by data, not guesswork.

Why is criterion-related validity important?

Would you trust a doctor whose medical exam didn’t actually test their ability to diagnose diseases? Or a pilot whose aviation test didn’t measure real flying skills? Probably not. So why would a company rely on hiring tests that don’t accurately predict job performance?

Criterion-related validity ensures that the tests and assessments used in hiring reflect a candidate’s ability to succeed. Without it, companies are essentially making blind hiring decisions, which can lead to high turnover, poor performance, and wasted resources.

Hiring without validity is just guesswork

Many organizations assume that just because a test looks well-structured, it must be effective. But if the test doesn’t have scientific backing, it’s just a random selection tool. 

Testlify’s assessments with strong criterion-related validity are like a compass for recruiters. It points them in the right direction.

It’s not just about hiring; it’s about business growth

When organizations use validated assessments, they create a more skilled workforce that ultimately extends business performance. Companies that make data-backed hiring decisions often see:

• Higher employee retention because people are well-matched to their roles
• Increased productivity as employees perform at their best
• Stronger workplace morale since teams function more efficiently
• Better customer satisfaction as competent employees handle clients more effectively

Beyond hiring: The long-term impact of valid assessments

Recruitment is just one part of the puzzle. Validated assessments are also crucial for promotions, leadership development, and employee training. 

If a company uses assessments for internal growth but those tests aren’t validated, they might promote the wrong persons. This domino effect can lead to employee dissatisfaction and operational inefficiencies. 

In short, if a test doesn’t accurately predict who will excel in a role, it’s not worth using. That’s why platforms like Testlify ensure their assessments are built on scientific validation.

How does criterion-related validity compare to other validity types?

When validating a test, recruiters often compare criterion-related validity with other forms to ensure the test is reliable.

• Convergent validity checks if a test correlates well with other tests measuring the same ability. For example, if a cognitive ability test for hiring analysts aligns with established IQ tests, it shows strong convergent validity.

• Discriminant validity ensures that the test is not measuring something irrelevant. For instance, a coding skills test should assess programming knowledge—not general verbal reasoning.

Final thoughts

Making the right hiring decision isn’t easy. That’s why recruiters and businesses need hiring assessments backed by real data, not just assumptions. 

At Testlify, we take this seriously. Our pre-employment tests are built with scientifically validated methods, ensuring that every assessment gives you meaningful insights about your candidates. No guesswork, just data-driven hiring.

Ready to make better hiring decisions? Try Testlify and see the difference yourself.