Descriptive research questions are based on observations made in previous research or in passing. This type of research interview frequently quantifies these observations. For example, while out bird watch, you notice that a certain species of hedge sparrow made all its nests with the same material : grasses. A descriptive research wonder would be “ On average, how much pot is used to build hedge sparrow nests ? ”
Descriptive inquiry questions lead to causal questions. This type of research question seeks to understand why we observe certain trends or patterns. If we return to our observation about hedge sparrow nests, a causal question would be “ Why are the nests of sparrows made with grasses preferably than twigs ? ”
In elementary terms, a hypothesis is the answer to your causal question. A guess should be based on a impregnable rationale that is normally supported by background research. From the wonder about hedge sparrow nests, you might hypothesize, “ Sparrows use grasses in their nests rather than twigs because grasses are the more abundant material in their habitat. ” This abundance guess might be supported by your anterior cognition about the handiness of nest build up materials ( i.e. grasses are more abundant than twigs ).
On the other hand, a prediction is the result you would observe if your hypothesis were correct. Predictions are often written in the form of “ if, and, then ” statements, as in, “ if my hypothesis is true, and I were to do this test, then this is what I will observe. ” Following our hedge sparrow example, you could predict that, “ If sparrows use supergrass because it is more abundant, and I compare areas that have more twigs than grasses available, then, in those areas, nests should be made out of twigs. ” A more refine prediction might alter the give voice so as not to repeat the hypothesis verbatim : “ If sparrows choose nesting materials based on their abundance, then when twigs are more abundant, sparrows will use those in their nests. ”
As you can see, the terms hypothesis and prediction are different and distinct even though, sometimes, they are falsely used interchangeably.
Let us take a count at another example :
causal interrogate : Why are there fewer asparagus beetles when asparagus is grown following to marigolds ?
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hypothesis : Marigolds deter asparagus beetles .
prediction : If marigolds deter asparagus beetles, and we grow asparagus following to marigolds, then we should find fewer asparagus beetles when asparagus plants are planted with marigolds .
A final note
It is exciting when the result of your study or experiment supports your hypothesis. however, it can be evenly excite if this does not happen. There are many reasons why you can have an unexpected resultant role, and you need to think why this occurred. possibly you had a electric potential problem with your methods, but on the interchange side, possibly you have just discovered a modern line of attest that can be used to develop another experiment or study .