In social sciences research we write "null hypotheses" in relation with our RQs and objectives whereas in other stream researches researchers put "hypotheses". What is the major difference between the two and why cant we hypothesize our RQs or Objectives in social science research?
Syamsul is correct in parts. However the 'null' (statistical) hypothesis is not always an exact opposite to the research hypothesis. The opposite would suggest that 'nothing exists'. The null hypothesis is more a neutral entity. Not necessarily that something does not work - but that it doesn't work the way that we predict. It depends on a number of factors - such as 'directional or non-directional'.
Hypotheses would be relevant to our expectations of the results of an experiment. It is used in all the fields. Even if we are doing a research in social science. The null hypothesis is the opposite of our hypothesis, indicating what to expect if the intervention/action/process/treatment in the experiment does not work. It is a statement that helps us to reflect upon the processes involved in doing the research.
Hi,
In the social sciences there is always the possibility that a hypothesis will not be confirmed because it is difficult to prove cause/effect relations in an open social field context (not in laboratory conditions) where the intervening variables are numerous. Therefore, you always have the "null" option that rejects your hypothesis.
Syamsul is correct in parts. However the 'null' (statistical) hypothesis is not always an exact opposite to the research hypothesis. The opposite would suggest that 'nothing exists'. The null hypothesis is more a neutral entity. Not necessarily that something does not work - but that it doesn't work the way that we predict. It depends on a number of factors - such as 'directional or non-directional'.
I agree with Whitehead. Apart from that, null hypothesis also depends on the existing literature review. While formulating the hypothesis it a prime responsibility to focus on current literature. It the current literature shows that the relationship between IV and DV is negative. Generally at that time as a researcher, we need to consider the "Null hypothesis"" . It also t depends on a number of factors - such as 'directional or non-directional'.
A hypothesis is a speculation or theory, based on insufficient evidence that lends itself to further testing and experimentation. With further testing, a hypothesis can usually be proven true or false. A null hypothesis is a hypothesis that says there is no statistical significance between the two variables.
Generation of the hypothesis is the beginning of a scientific process. It refers to a supposition, based on reasoning and evidence. The researcher examines it through observations and experiments, which then provides facts and forecast possible outcomes. The hypothesis can be inductive or deductive, simple or complex, null or alternative. While the null hypothesis is the hypothesis, which is to be actually tested, whereas alternative hypothesis gives an alternative to the null hypothesis.
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