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or
‘‘ Parents of 8th grade pupils were significantly dissatisfied with the quality of
the science program offered by their son’s or daughter’s school’’ (this is accepted
as true whenever our sample mean is significantly less than our expected
population mean of 4).
Both of these conclusions cannot be true. We accept one of the hypotheses as
‘‘true’’ based on the data set in our research study, and the other one as ‘‘not true’’
based on our data set.
The job of the research scientist, then, is to decide which of these two
hypotheses, the null hypothesis or the research hypothesis, he or she will accept as
true given the data set in the research study.
Let’s try some examples of rating scales so that you can practice figuring out
what the null hypothesis and the research hypothesis are for each rating scale.
In
the
spaces
in
Fig. 3.7 ,
write
in
the
null
hypothesis
and
the
research
hypothesis for the rating scales:
Fig. 3.7
Examples
of rating scales
for determining
the null
hypothesis
and the research
hypothesis
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