This blog will help you understand what is a research hypothesis, its characteristics and, how to formulate a research hypothesis
What is Hypothesis?
hypothesis is an assumption or an theme proposed for the sake of argument so that it can be tested. It is a precise, testable argument of what the researchers predict will be outcome of the study. Hypothesis normally involves proposing a relationship between two variables : the autonomous variable ( what the researchers change ) and the dependent varying ( what the research measures ) .
What is a Research Hypothesis?
research hypothesis is a statement that introduces a research wonder and proposes an expect solution. It is an integral separate of the scientific method that forms the footing of scientific experiments. consequently, you need to be careful and thorough when building your research hypothesis. A minor flaw in the construction of your guess could have an adverse effect on your experiment. In research, there is a convention that the guess is written in two forms, the null guess, and the alternative hypothesis ( called the experimental guess when the method acting of probe is an experiment ).
Essential Characteristics of a Good Research Hypothesis
As the hypothesis is specific, there is a testable prediction about what you expect to happen in a study. You may consider drawing guess from previously published research based on the theory .
A good research hypothesis involves more campaign than just a guess. In particular, your hypothesis may begin with a interview that could be far explored through setting research .
To help you formulate a promise research hypothesis, you should ask yourself the come questions :
- Is the language clear and focused?
- What is the relationship between your hypothesis and your research topic?
- Is your hypothesis testable? If yes, then how?
- What are the possible explanations that you might want to explore?
- Does your hypothesis include both an independent and dependent variable?
- Can you manipulate your variables without hampering the ethical standards?
- Does your research predict the relationship and outcome?
- Is your research simple and concise (avoids wordiness)?
- Is it clear with no ambiguity or assumptions about the readers’ knowledge
- Is your research observable and testable results?
- Is it relevant and specific to the research question or problem?
The questions listed above can be used as a checklist to make sure your hypothesis is based on a solid foundation garment. furthermore, it can help you identify weaknesses in your guess and revise it if necessary .
Source: Educational Hub
How to Formulate an Effective Research Hypothesis
A testable hypothesis is not a simple instruction. It is rather an intricate statement that needs to offer a absolved introduction to a scientific experiment, its intentions, and the potential outcomes. however, there are some important things to consider when building a compelling hypothesis .
1. State the problem that you are trying to solve.
Make sure that the hypothesis distinctly defines the topic and the focus of the experiment .
2. Try to write the hypothesis as an if-then statement.
Follow this template : If a specific action is taken, then a certain result is expected .
3. Define the variables
mugwump variables are the ones that are manipulated, controlled, or changed. independent variables are isolated from early factors of the learn .
dependent variables, as the name suggests are dependent on other factors of the discipline. They are influenced by the change in independent variable .
4. Scrutinize the hypothesis
research guess can be classified into seven categories as stated below :
1. simpleton hypothesis
It predicts the kinship between a single dependent variable and a single independent varying .
2. complex guess
It predicts the relationship between two or more freelancer and dependent variables.
3. Directional Hypothesis
It specifies the ask management to be followed to determine the kinship between variables and is derived from theory. furthermore, it implies the research worker ’ s intellectual commitment to a particular consequence .
4. Non-directional guess
It does not predict the claim focus or nature of the kinship between the two variables. The non-directional hypothesis is used when there is no theory involved or when findings contradict previous research .
5. associative and Causal Hypothesis
The associative guess defines mutuality between variables. A change in one variable results in the change of the other variable. On the early handwriting, the causal hypothesis proposes an effect on the pendent due to handling of the mugwump variable star .
6. Null Hypothesis
Null hypothesis states a negative statement to support the research worker ’ mho findings that there is no relationship between two variables. There will be no changes in the dependent variable star due the handling of the freelancer variable. furthermore, it states results are due to luck and are not meaning in terms of supporting the mind being investigated .
7. option hypothesis
It states that there is a relationship between the two variables of the study and that the results are significant to the research subject. An experimental hypothesis predicts what changes will take place in the pendent variable when the mugwump variable is manipulated. besides, it states that the results are not due to luck and that they are significant in terms of supporting the theory being investigated .
Research Hypothesis Examples of Independent and Dependent Variables:
research Hypothesis Example 1
The greater total of coal plants in a region ( independent varying ) increases water befoulment ( dependent variable ) .
If you change the autonomous variable ( building more char factories ), it will change the dependent variable star ( sum of water contamination ) .
inquiry Hypothesis Example 2
What is the impression of diet or regular sodium carbonate ( independent variable ) on blood carbohydrate levels ( dependent variable ) ?
If you change the independent variable ( the type of sodium carbonate you consume ), it will change the subject variable ( blood carbohydrate levels )
You should not ignore the importance of the above steps. The cogency of your experiment and its results rely on a full-bodied testable guess. Developing a impregnable testable hypothesis has few advantages, it compels us to think intensely and specifically about the outcomes of a cogitation. consequently, it enables us to understand the implication of the question and the different variables involved in the cogitation. furthermore, it helps us to make precise predictions based on anterior research. Hence, forming a hypothesis would be of great value to the research. here are some good examples of testable hypotheses .
More importantly, you need to build a robust testable research hypothesis for your scientific experiments. A testable hypothesis is a hypothesis that can be proved or disproved as a result of experiment .
Importance of a Testable Hypothesis
To devise and perform an experiment using scientific method, you need to make indisputable that your hypothesis is testable. To be considered testable, some substantive criteria must be met :
- There must be a possibility to prove that the hypothesis is true.
- There must be a possibility to prove that the hypothesis is false.
- The results of the hypothesis must be reproducible.
Without these criteria, the guess and the results will be dim. As a result, the experiment will not prove or disprove anything meaning.
What are your experiences with construction hypotheses for scientific experiments ? What challenges did you face ? How did you overcome these challenges ? Please share your thoughts with us in the comments section .