That I would consider fraud, personally. I’m referring to more subtle bias than that - like maybe you’re putting someone through a scenario, then trying to classify their emotional state afterwards. You classify the clear states properly, but are biased in classifying the borderline ones - like it’s not very clear if they’re sad or anxious, but if anxious fits your hypothesis better, you tend to classify these unclear states as anxious.
Maybe that’s not a good example, I’m not a psychologist. But in my experience, scientific studies are full of a surprising number of judgement calls, in all sorts of areas (experimental design, experimental execution, result classification, statistical analysis, exclusion of outliers, etc.), and it’s naive to think bias doesn’t seep into all of these, even for people who are quite committed to the ideals of science. I can’t think of a good way to combat this except very extensive independent reproduction of results.