Hypothesis A hypothesis is a tentative relationship between two or more variables which direct the research activity to test it.
A hypothesis is a testable prediction which is expected to occur. It can be a false or a true statement that is tested in the research to check its authenticity. Sometimes, it is very difficult to start a research without having a valid foundation. Hence, the research builds a logical relationship between various phenomena to start working on the research.
This logical relationship is relevant to the theme of the research.
Types Of Research Hypotheses
This logical relationship between various phenomena is called a hypothesis. This logical relationship or testable assumption gives a direction to the research, specifies the focus of the research and helps in framing research techniques. A simple hypothesis is a hypothesis that reflects a relationship between two variables — independent and dependent variable.
A hypothesis, that is accepted to put to test and work on in a research, is called a working hypothesis.
It is a hypothesis that is assumed to be suitable to explain certain facts and relationship of phenomena. It is hoped that this hypothesis would generate a productive theory and is accepted to put to test for investigation. If the working hypothesis is proved wrong or rejected, another hypothesis to replace the working hypothesis is formulated to be tested to generate the desired results — this is known as an alternate hypothesis.
As the name mentions, it is an alternate assumption a relationship or an explanation which is adopted after the working hypothesis fails to generate required theory. Alternative Hypothesis is denoted by H 1. A null hypothesis is a hypothesis that expresses no relationship between variables.
It negates association between variables. A null hypothesis has its purpose. A null hypothesis is made with an intention where the researcher wants to disapprove, reject or nullify the null hypothesis to confirm a relationship between the variables. A null hypothesis is usually made for a reverse strategy — to prove it wrong in order to confirm that there is a relationship between the variables.
A null hypothesis is denoted by H O. It can be any hypothesis that has the quality of being verified statistically. It means using quantitative techniques, to generate statistical data, can easily verify it.
It can also be said that the variables in a statistical hypothesis can be transformed into quantifiable sub-variable to test it statistically. It is a hypothesis expressing a relationship whose inter-links can be joined on the basis of logical explanation. It is can be verified by logical evidence.
Being verified logically does not necessarily mean that it cannot be verified statistically. It may or may not be verified statistically but it can be verified logically.
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Hypothesis testing. Null vs alternative
Grammar Basics. Preparation Guide for Tests.
Study Resources. Simple Hypothesis.
Complex Hypothesis. Working Hypothesis. Alternative Hypothesis.
Null Hypothesis. Statistical Hypothesis.
Logical Hypothesis. How to write a Research Proposal.
Steps in Social Research. Quantitative Vs Qualitative Research. Identification of Research Problem.
Formulation of Research Problem. Sampling and its Types. Referencing and Citation in Research. All Rights Reserved.