Interpretation is made on the basis of data analysis using some sort of statistic . A statistic is a mathematical tool or formula used to test the probability of being right or wrong when we say a hypothesis is true or false. There are about 100 common statistical tests. A test of one's hypothesis can always reach statistical significance by increasing the sample size, and that's just because the way cutoffs are placed in the tables of numbers called significance tables. However, there's a difference between statistical and meaningful significance.
Statistical significance is no guarantee of meaningful, or social or psychological significance.
Generalizeability is what one is after with interpretation , which means that general conclusions can be made on the basis of successful testing of all your hypotheses. Limitations are specific conclusions that refer to the making of generalizations possible from what your analysis actually shows. It may be nothing more than the discovery of a relationship. You should always know your limitations. Delimitations are general conclusions that refer to the making of generalizations beyond the limitations of your study.