A framework is a real or conceptual structure intended to serve as a support or guide for the building of something that expands the structure into something useful. It shows the beliefs regarding certain phenomena, including concepts or variables related to a model, and the explanation of why you think these variables link with one another. It is a model in which a person uses a logical sense of a relationship among many factors that are considered important to a problem. Therefore, a theoretical framework is a foundation to go forward with the research paper. It involves nothing more other than identifying relationships among different variables. Thus, it is important to know what does a variable means, and its different aspects
Let us understand what variables are!!
Variables are concepts that change or differ in value. Variables are the features of cases. For instance, in the case of a person, its variables could be age, sex, weight, height, feeling, etc. There are different types of variables, which include:
Dependent variable: It is the primary interest of researchers whose aim is to predict, understand, or explain its variability.
Independent variable: The things that can be changed by researchers or scientists are known as independent variables. The influences that direct variables have in a negative or positive manner on a variable called the independent variable.
Intervening Variable: It surfaces when the independent variable operates for influencing the dependent variable and when its impact is felt. Determining variables is important for any scientific study. A simple mistake in this demesne can lead to faulty results.
Moderating Variable: It is noticed that there is a relationship between the manuals that employees can access and a product that is rejected. When workers follow the methods laid down in manuals, they can produce flawless products.
What are Hypotheses?
The hypothesis is a logical relationship between the two or more variables. It can be articulated as a testable statement. A good hypothesis should have the following features:
- Should be testable
- Should be adequate
- Should be better compared to its rivals
- It can be directional and non-directional.
Types of Hypotheses
There are various types of hypotheses, and some of them include:
Directional Hypotheses: It is a sign of the direction of a relationship between the negative or positive variables. For instance, if the employees experience greater stress in a job, they have low job satisfaction.
Non-directional Hypotheses: These are hypotheses that do not show any sign of the relationships’ direction between variables. For instance, there is a relationship between job satisfaction and age. Also, there are differences between the work ethics of Indian and American employees.
Null Hypotheses: It is a proposition, which states an exact and definitive relationship between the two variables.
Alternate Hypotheses: It is a statement that expresses a relationship between the two variables or show differences between the groups.
Importance of Testable Hypothesis
In order to perform an experiment through a specific method, it is important to ensure that the hypothesis is testable. To find if it is testable or not, you need to consider some essential criteria, which include:
- The result of the hypothesis should be reproducible.
- There should be the possibility that the hypothesis is true.
- There should be the possibility that the hypothesis is false.
Remember that without these criteria, the results of a hypothesis could be vague. Due to this, an experiment may not prove or disprove something significant. Therefore, a hypothesis needs to be testable with any three of the above options proved to be correct.
In a nutshell, the framework and hypothesis development are the basis of a scientific experiment. Nevertheless, before doing the experiment, you should ensure that you know the concepts of theoretical aspects and hypotheses properly, and the hypothesis should be testable.