Tests are judged on two separate attributes, precision and accuracy. The two are related, especially as the words are used colloquially, but still address two distinct testing issues.
1) Accuracy is a measure of how close the statistical test results are to the correct value.
2) Precision is how much variability there are between individual test results.
Let me explain with an example, a dart board, considering throwing a dart to be a 'test result'. Consider that every result is trying to hit the bulls eye (not always the goal when playing an individual game of darts, but consider the goal for this example)
A test ('dart thrower') with poor precision and poor accuracy would be all over the board. Double 2, in the wall behind the board, and single 11.
A test with good precision but poor accuracy would be very tightly clustered together -- say all together in the 20, but distinctly away from the bulls eye.
A test with good accuracy, but poor precision would be darts that all land in the triples ring in the 20,10, and 8 -- evenly spread around the bulls eye, so that their average position is the bulls eye, but they are not clustered together.
Finally, a test with both good accuracy and good precision would be all three darts in the bulls eye.
(see more at the following link: http

/www.butlercc.edu/engineering/en115/en115_accur_vs_prec.cfm )
You can see how these issues could affect our test results. A test with good precision put poor accuracy could report results of 0 every test (remember the results will be close to one another because it has good precision!) when there is actually some in the sample. Or, report something every time when there is nothing -- kind of like KISSfn's report above. Or a test could have good accuracy, but you need to do 10 samples and average them to achieve that accuracy.
So, when judging the quality of a test, both the accuracy and precision need to be addressed. A test that is lacking one or the other can still be useful: a test lacking precision but good accuracy can be used, it just needs to be repeated many times so that the average is well-determined. A test that lacks accuracy but with good precision can be useful if the offset is known -- it is like a rifle with a misaligned scope. You can still hit targets with it, you just have to know where to put the crosshairs when you pull the trigger.
I've never seen a study of both the accuracy and precision of the home test kits. It would be good to know actual numbers for comparison's sake. I have no doubt of what you all are saying in this thread. It is just that without measures of the accuracy and precision, it is hard to be completely objective. The repeats in triplicate SBS did are a good start to measure accuracy, but 3 samples is almost meaningless for measuring precision. I'm not saying somebody should spend their money to do this for the forum, I am just saying that I don't think that it is completely clear that one test is significantly superior to another.