I would still say that C is the correct answer. Controlling variables is more a part of reliability not validity. An experiment can be valid but not reliable.
For example if your hypothesis is ‘chickens who eat more will lay larger eggs’ but your IV is the amount of water you give them, your experiment is not valid.
To be valid your experiment just needs to be capable of testing the hypothesis. So if you use the above hypothesis but your IV is the amount of food you feed them then it is a valid experiment.
However if you then give them different amounts of water it is not a reliable experiment as the results will change each time it is repeated (because there is not a set amount of water). It is still a valid experiment though because it is still testing the effect of food on egg size.
A control also implies that all other conditions are the same.
Oh okay, that’s interesting. I guess your explanation makes a lot more sense; my understanding of reliability was also that when the experiment was repeated several times by a different experimenter, the same results would occur. Although I understood that validity was that the IV was the only ‘IV’ and there weren’t other factors that affected the outcome of the experiment.
Eg, if we take the experiment where beetroot slices were placed in different concentrations of pH, testing for colour of pigment leakage after a set period of time, I would say if there were varying sizes of beetroot slices in each concentration of pH, this would no longer be a controlled variable and essentially be another ‘IV’, hence the experiment would be no longer valid because the experiment is no longer testing the aim, and other variables are being investigated (if that makes sense).
I think you are definitely correct in this case, but maybe my wording was wrong, feel free to correct me.
That being said, I also agree that the answer would be C, thanks for your explanation!