Hypothesis may be classified into the
following categories:
1.
Research
hypothesis: When a prediction or an assumed relationship is tested by
scientific methods, this is called the research theory. Research in theory is a
predictive explanation with respect to an independent variable with a dependent
variable. Usually, a research theory must contain at least one independent and
a dependent variable. A research theory must be stated in a testable form for
its correct evaluation. As emphasized, this form must imply a relationship
between variables in a clear, concise and understandable language. Research
theories are considered as taught or indirectly.
·
Hypothesis of direction: a
theory that indicates the nature of the relationship or difference.
For example: "The
achievements of Science by elementary computer learners are at a higher level
than the lessons provided without a computer".
·
Unexplained theory: a
theory of research that does not refer to the direction of the expected
difference or relationship is an unexplained theory of research.
For example: "There
will be differences in the adaptation of fathers and mothers to raising their
children" or "There is a difference in the level of anxiety in
adolescents with a high IQ and low IQ" are unintended research theories.
Although these assumptions have a difference, the direction of the difference
is not specified. A research theory can take a statistical form, a declarative
form, a zero form or a question form.
2.
Statistical
hypothesis: When it's time to test whether data is supported or rejected by
research theory, it should be converted to a statistical hypothesis.
Statistical hypothesis is given in statistical terms. Technically, in the
context of inferential statistics, this is a statement about one or more
parameters that measures the population studies. Statistics of hypotheses are
usually given in terms of terms.
For example:
"The average reading performance of third-grade students taught by method
A is equivalent to the average population reading performance as described in
method B." Therefore, we can say that statistical hypotheses relate to the
educated population. We use inferential statistics to get conclusions about
population values, although we only have access to a sample of participants. In
order to use inference statistics, we need to translate the theory's research
into a probable form called null theory. An alternative or explanatory
indication implies a situation that matches when the null hypothesis is not
true. The hypothesis mentioned will vary depending on whether it is a direct
theory of research.
3.
Declarative
hypothesis: When the researcher makes a positive statement about the outcome
of the study, the theory takes the form of a form.
For example: "The academic achievement of
extraverts is higher than introverts", is in the formulary. In this
hypothesis, the researcher makes predictions based on his theoretical formulas
of what should happen if the explanations of the behavior he gave his theory
are correct.
4.
Null
hypothesis: In the null form, the researcher makes a statement without a
relationship. The theory "No significant difference between the academic
performance of high school athletes and non-athletes," is an example of
null hypothesis. Because null hypotheses can be statistically assessed, they
are often referred to as statistical hypotheses. These are also called test
hypotheses when declarative hypotheses are analyzed by statistics by converting
them to zero form. It says that even if it seems right it is only because of
unity. It is in the researcher to reject null hypothesis by showing that the
outcome mentioned in the explanation of prophecy is happening and the whole is
such that it is not easy to be denied by chance.
5.
Question
form hypothesis: In the form of the question theory, one question asks what the
outcome of the outcome will be instead of saying what is expected from the
outcome. Suppose a researcher is interested in knowing whether programmed
education is relevant to the child's anxiety test.
o
The explanatory form
of theory may be: "Learning children through a material educational
program will reduce their anxiety test".
o
The zero form is:
"Learning children through programmed teaching material has no effect on
their anxiety test." This statement shows that there is no connection
between programmed instruction and anxiety tests.
The question form puts the statement in the form: "Does the
teaching of children by programmed instruction lower their anxiety test?"
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