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Definition
 The second important consideration in the formulation of
a research problem in quantitative research is the
construction of a hypothesis. Hypotheses bring clarity,
specificity and focus to a research problem, but are not
essential for a study. You can conduct a valid investigation
without constructing a single formal hypothesis. On the
other hand, within the context of a research study, you can
construct as many hypotheses as you consider to be
appropriate.
The functions of a hypothesis
 The formulation of a hypothesis provides a study with
focus. It tells you what specific aspects of a research
problem to investigate.
 A hypothesis tells you what data to collect and what
not to collect, thereby providing focus to the study.
 As it provides a focus, the construction of a
hypothesis enhances objectivity in a study.
 A hypothesis may enable you to add to the
formulation of theory. It enables you to conclude
specifically what is true or what is false.
The testing of a hypothesis
 To test a hypothesis you need to go through a process that
comprises three phases:
 (1) constructing a hypothesis;
 (2) gathering appropriate evidence; and
 (3) analyzing evidence to draw conclusions as to its
validity.
The characteristics of a hypothesis
 A hypothesis should be simple, specific and conceptually
clear
 • A hypothesis should be capable of verification.
 A hypothesis should be related to the existing body of
knowledge
 A hypothesis should be operationalisable
Types of hypothesis
Alternate hypothesis
 The formulation of an alternate hypothesis is a convention
in scientific circles. Its main function is to explicitly
specify the relationship that will be considered as true in
case the research hypothesis proves to be wrong. In a way,
an alternate hypothesis is the opposite of the research
hypothesis. Conventionally, a null hypothesis, or
hypothesis of no difference, is formulated as an alternate
hypothesis.
 Null hypothesis
 When you construct a hypothesis stipulating that there is
no difference between two situations, groups, outcomes,
or the prevalence of a condition or phenomenon, this is
called a null hypothesis and is usually written as H0.
 Hypothesis of difference
 A hypothesis in which a researcher stipulates that there
will be a difference but does not specify its magnitude is
called a hypothesis of difference.
 Hypothesis of point-prevalence
 A statement that speculates almost the exact prevalence of
the situation or the outcome of a treatment program.
 Example: A total of 60% of females and 30% of males in
the study populations or expatriates.
Errors in testing a hypothesis
 the study design selected is faulty; the sampling procedure
adopted is faulty; the method of data collection is
inaccurate; the analysis is wrong; the statistical procedures
applied are inappropriate; or the conclusions drawn are
incorrect.
Hypotheses in qualitative research
 One of the differences in qualitative and quantitative
research is around the importance attached to and the
extent of use of hypotheses when undertaking a study. As
qualitative studies are characterized by an emphasis on
describing, understanding and exploring phenomena using
categorical and subjective measurement procedures,
construction of hypotheses is neither advocated nor
practiced.

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Hypothesis

  • 1.
  • 2. Definition  The second important consideration in the formulation of a research problem in quantitative research is the construction of a hypothesis. Hypotheses bring clarity, specificity and focus to a research problem, but are not essential for a study. You can conduct a valid investigation without constructing a single formal hypothesis. On the other hand, within the context of a research study, you can construct as many hypotheses as you consider to be appropriate.
  • 3. The functions of a hypothesis  The formulation of a hypothesis provides a study with focus. It tells you what specific aspects of a research problem to investigate.  A hypothesis tells you what data to collect and what not to collect, thereby providing focus to the study.  As it provides a focus, the construction of a hypothesis enhances objectivity in a study.  A hypothesis may enable you to add to the formulation of theory. It enables you to conclude specifically what is true or what is false.
  • 4. The testing of a hypothesis  To test a hypothesis you need to go through a process that comprises three phases:  (1) constructing a hypothesis;  (2) gathering appropriate evidence; and  (3) analyzing evidence to draw conclusions as to its validity.
  • 5. The characteristics of a hypothesis  A hypothesis should be simple, specific and conceptually clear  • A hypothesis should be capable of verification.  A hypothesis should be related to the existing body of knowledge  A hypothesis should be operationalisable
  • 6. Types of hypothesis Alternate hypothesis  The formulation of an alternate hypothesis is a convention in scientific circles. Its main function is to explicitly specify the relationship that will be considered as true in case the research hypothesis proves to be wrong. In a way, an alternate hypothesis is the opposite of the research hypothesis. Conventionally, a null hypothesis, or hypothesis of no difference, is formulated as an alternate hypothesis.
  • 7.  Null hypothesis  When you construct a hypothesis stipulating that there is no difference between two situations, groups, outcomes, or the prevalence of a condition or phenomenon, this is called a null hypothesis and is usually written as H0.
  • 8.  Hypothesis of difference  A hypothesis in which a researcher stipulates that there will be a difference but does not specify its magnitude is called a hypothesis of difference.
  • 9.  Hypothesis of point-prevalence  A statement that speculates almost the exact prevalence of the situation or the outcome of a treatment program.  Example: A total of 60% of females and 30% of males in the study populations or expatriates.
  • 10. Errors in testing a hypothesis  the study design selected is faulty; the sampling procedure adopted is faulty; the method of data collection is inaccurate; the analysis is wrong; the statistical procedures applied are inappropriate; or the conclusions drawn are incorrect.
  • 11. Hypotheses in qualitative research  One of the differences in qualitative and quantitative research is around the importance attached to and the extent of use of hypotheses when undertaking a study. As qualitative studies are characterized by an emphasis on describing, understanding and exploring phenomena using categorical and subjective measurement procedures, construction of hypotheses is neither advocated nor practiced.