How do hypothesis should be written: Characteristics and types


The hypotheses are deductions or logical assumptions of the results of a quantitative analysis. It is a possibility that the thesis student affirms, but it is not a fact, it is simply a prediction that guides the work. To formulate a hypothesis appropriately, remember that the wording must have the following characteristics:

The hypothesis deals with a real situation: that is, that they must be able to undergo an evaluation in the context of a real circumstance, that exists and is recognized. For example, if a hypothesis is affirmed with respect to violent behavior in schools, this assumption should be verified by studying data in a specific group of educational institutions.

The variables or terms of the hypothesis must be concrete, understandable and clear: inaccurate concepts will be avoided at all costs. The hypothesis must express what is expected in a way that is perfectly understandable.

The relationship between the variables of a hypothesis must be logical: obviously it is a probable deduction, otherwise its formulation will not help. For example, “The increase in levels of violence at school age is due to the decrease in the sale of hydrocarbons nationwide”, this hypothesis is not valid due to its implausibility.

The variables are measurable: a hypothesis does not admit subjective considerations, personal opinions or value judgments, the important thing is to highlight the objectivity. In addition, before formulating it is imperative to study the resources, tools or instruments that are going to be needed to carry out the measurement and verify if everything is required.


The type of hypothesis will be chosen according to the purposes of your thesis. The types may vary, even if they can combine more than one criterion.

Descriptive hypotheses: try to predict a data that will be recorded and evaluated in the study. For example: “The increase in the purchase of smart mobile phones will be 20% in the city of San Juan, for the year 2017”

Correlation hypotheses: typical of studies with associative perspectives of two or more variables. “Dental malocclusion is related to the presence of cervical disorders” or “The consumption of the Andean Maca is associated with increased strength and physical strength.”

Differential hypotheses: they are used to make comparisons between groups of variables. “The opinion of women about equal marriage is more positive, than that of men.” The hypothesis may or may not contain the value of the difference, everything depends on the prior knowledge that the researcher has at the time of making the deduction.

Causal hypotheses: propose cause and effect relationships between variables. For example: “A good working environment and good salary increases employee innovation”


To guide a quantitative thesis and guide the student towards what he seeks to demonstrate or prove. Whether or not the truth of a hypothesis is achieved, they always offer relevant information about the research problem. They can also corroborate theories or suggest new ones for future work.

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