Validity and reliability research paper

Short essay description
Published on September 6, by Fiona Middleton. Revised on June 19, In quantitative research , you have to consider the reliability and validity of your methods and measurements. Validity tells you how accurately a method measures something.

Reliability and Validity – Definition & Types

Reliability, Validity and Representative Sample in Research Essay - Words

Reliability is the degree of consistency of a measure. A test will be reliable when it gives the same repeated result under the same conditions. In everyday language, we use the word reliable to mean that something is dependable and that it will give behave predictably every time. We might talk of a football player as reliable, meaning that he gives a good performance game after game. In science, the idea is similar, but the definition is much narrower. Reliability is a property of any measure, tool, test or sometimes of a whole experiment. For example, you might try to weigh a bowl of flour on a kitchen scale.

Reliability, Validity and Representative Sample in Research

We will explore each validity in depth. Two variables being statistically related does not necessarily mean that one causes the other. It could mean instead that greater happiness causes people to exercise or that something like better physical health causes people to exercise and be happier. The purpose of an experiment, however, is to show that two variables are statistically related and to do so in a way that supports the conclusion that the independent variable caused any observed differences in the dependent variable. The logic is based on this assumption: If the researcher creates two or more highly similar conditions and then manipulates the independent variable to produce just one difference between them, then any later difference between the conditions must have been caused by the independent variable.
External validity is one the most difficult of the validity types to achieve, and is at the foundation of every good experimental design. Many scientific disciplines, especially the social sciences, face a long battle to prove that their findings represent the wider population in real world situations. The main criteria of external validity is the process of generalization , and whether results obtained from a small sample group, often in laboratory surroundings, can be extended to make predictions about the entire population. The reality is that if a research program has poor external validity, the results will not be taken seriously, so any research design must justify sampling and selection methods.

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