Now that candidates can open a language model during a test, the question has changed. Below you read what actually goes wrong, what helps and how to judge an outcome you have doubts about.
Fraud in an assessment is rarely a conspiracy. It is a candidate opening a chat window during an aptitude test, someone letting a relative look along, or items that ended up on a forum.
The damage is not in the test. It is in a hiring decision resting on wrong information. So the answer is rarely more surveillance, and usually a procedure that makes a deviation visible by itself.
Reasoning questions with text are the most exposed. Figure series and reaction tasks far less.
Mainly happens where no conversation follows the online test.
Using the same fixed item set for years carries the highest risk here.
Not fraud in the strict sense on personality questionnaires, but it produces a flat profile that does not hold up in conversation.
Four things that remove the temptation or make a deviation visible. None of them involves cameras.
A score far away from the rest of the picture is not proof. People have bad days, bad connections and sometimes an unexpected talent. Treat a deviation as a question, not a conclusion.
What you never do is reject someone on a suspicion without discussing it. Explain what you see, ask how it went and offer a second measurement. That is not only decent, it also stops you losing a suitable candidate over a measurement error.
Read how hrmforce handles data →Not in the sense of looking up the right answer, because there is none. You can fill in what you think the employer wants to hear. Questionnaires contain checks for that pattern, and it produces a flat profile.
It raises the barrier to using help, and it costs trust, privacy and drop-out during the procedure. Weigh that against the stakes of the role. For most roles a second measurement in case of doubt works better.
Yes, if you explain why and give the candidate room to respond. Put it as a question, not an accusation.
For unsupervised text questions the risk has grown. For abstract figure series far less so. The strongest answer remains testing the outcome in the conversation.
An adviser reviews your selection process and where the risks sit.