What is concurrent validity? Definition & examples 

Imagine recruiters start using a new hiring test to assess problem-solving skills. After a few months, they realize it’s giving wildly inconsistent results. Some top performers fail, while average candidates pass with ease. So, is the test even reliable?

This is where concurrent validity comes into play. It ensures that a test actually measures what it claims to measure by comparing it with an already proven and trusted test.

Understanding concurrent validity can save you from costly hiring mistakes if you’re an HR professional, recruiter, or employer relying on pre-employment assessments. Keep reading to understand the concept in depth.

Summarise this post with:

Chatgpt Perplexity Gemini Grok Claude

What is concurrent validity?

Concurrent validity is a type of criterion validity that checks whether a test is actually measuring what it is supposed to measure. 

It does this by comparing the test’s results with another already validated test that measures the same skill or ability. If both tests show similar results, the new test is valid.

For example, suppose an employer develops a new leadership assessment to evaluate problem-solving and decision-making skills. 

To check its reliability, they give the same group of candidates the new and already established leadership tests. If the scores from both tests are highly correlated, it confirms that the new test evaluates leadership skills correctly.

In short, concurrent validity ensures that an assessment tool is reliable and job-relevant, making it an essential factor in recruitment decision-making.

Key aspects of concurrent validity

• It is a type of criterion validity, meaning it measures how well a test correlates with a real-world standard.
• The comparison test is often called the gold standard because it is already trusted and proven.
• It helps validate new assessments quickly without waiting for long-term results.
• It is commonly used in hiring tests, academic assessments, and psychological evaluations.

Why does concurrent validity matter in hiring?

In hiring, accuracy matters. A test that fails to measure fundamental skills can lead to bad hires and wasted resources. Concurrent validity ensures that recruitment tests are actually doing their job. 

For example, if a company introduces a new problem-solving test for hiring managers that doesn’t align with an already proven assessment, it’s a red flag. A test without validation can reject good candidates or approve the wrong ones.

Example of concurrent validity in recruitment

Let’s say a company wants to introduce a new cognitive ability test to screen job applicants. Before fully implementing it, they decide to check its validity.

To do this, they select a group of candidates and make them take the new and already-established cognitive ability tests. If the scores from both tests show a high correlation, it proves that the new test measures cognitive ability accurately.

This method helps recruiters ensure that new assessments are reliable before making critical hiring decisions. Without this step, they might end up using a test that gives random or misleading results, leading to bad hires.

Concurrent validity vs. predictive validity

Both concurrent and predictive validity are types of criterion validity and help determine whether a test is accurate and meaningful, but they do so in different ways.

• Concurrent validity checks if a test aligns with an existing, proven test simultaneously.
• Predictive validity evaluates whether a test can accurately predict future performance.

A simple way to understand this: Concurrent validity tells you if a test works now, while predictive validity tells you if it will work in the future. 

Both methods have their place in recruitment, but recruiters often start with concurrent validity to quickly test an assessment’s reliability before using it for long-term hiring decisions.

Advantages and limitations of concurrent validity

Concurrent validity is a powerful method to validate assessments, but it has strengths and limitations like any approach. Let’s take a balanced look at both.

Advantages of concurrent validity

• Quick test validation – Instead of waiting for months or years, concurrent validity helps verify a test’s reliability immediately by comparing it with a proven test.
• Reduces hiring mistakes – Recruiters might hire the wrong candidates if a test isn’t appropriately validated. Concurrent validity ensures that assessments measure the right skills.
• Saves time and resources – Developing a test from scratch can be expensive. Instead of trial and error, concurrent validity helps refine tests faster, saving both time and money.

Limitations of concurrent validity

• Relies on the quality of the existing test – The accuracy of concurrent validity entirely depends on the benchmark test. If the existing test is flawed, the comparison will also be meaningless. 
• Does not predict future performance – A test may align well with an existing assessment, but that doesn’t mean it can predict how a candidate will perform on the job over time. For long-term insights, predictive validity is required.
• Limited scope in dynamic industries – In fast-changing industries where job skills evolve rapidly, using an existing test as a benchmark may not be ideal. A test that worked well in the past might not be relevant for today’s hiring requirements.
• Can lead to false confidence – If two tests show a high correlation, recruiters might assume that the new test is 100% reliable, overlooking other crucial factors like construct validity and practical application.

How to determine concurrent validity?

The process of determining concurrent validity is straightforward. First, a well-established test is selected as a reference. Next, both tests are given to the same group of candidates, preferably within a short period.

The goal is to measure the same skill under the same conditions. Once the results are collected, the next step is to compare the scores. If candidates who score high on the new test also score high on the benchmark test, it indicates a strong correlation.

The closer this correlation is to 1.0, the better the validity of the new test. If the correlation is low, it suggests the new test isn’t accurately measuring what it claims to, and adjustments might be required.

But the process doesn’t stop there. Just because a test works for one group doesn’t mean it will work for everyone. To ensure consistency, the validation should be repeated across different groups of candidates.

Finally, recruiters must analyze what’s missing if the correlation isn’t strong enough. Maybe the test isn’t structured well, or perhaps it measures a slightly different skill than intended. In such cases, refinements are necessary before the test can be confidently used in hiring.

However, manually conducting these validations can be time-consuming and complex. This is where platforms like Testlify simplify the process by offering pre-validated assessments that are scientifically backed and already benchmarked against industry standards.

Instead of building and validating tests from scratch, recruiters can rely on Testlify’s data-driven approach to ensure accuracy in hiring decisions. 

Final thoughts

Hiring is already a challenging process—why make it more complicated with unreliable assessments? A test without proper validation is just a guessing game; no recruiter wants to gamble on talent.

That’s where concurrent validity makes all the difference. It’s not just about comparing numbers; it’s about ensuring that every hiring decision is based on objective and measurable skills, not just gut feelings.

For companies that take hiring seriously, relying on scientifically validated assessments is necessary. Whether you validate tests yourself or choose pre-validated solutions like Testlify, one thing is clear: better assessments lead to better hires.

At the end of the day, hiring is an investment. The question is, are you investing wisely?