They indicate how well a method, technique. Reliability and validity are concepts used to evaluate the quality of research. Validity in Research | Difference, Types and Examples The same test conducted by different people.ĭifferent versions of a test which are designed to be equivalent.Ĭontinue reading: The 4 Types of Reliability in Research | Definitions & Examples Reliability vs. Each can be estimated by comparing different sets of results produced by the same method. There are four main types of reliability. If not, the method of measurement may be unreliable or bias may have crept into your research. When you apply the same method to the same sample under the same conditions, you should get the same results. Reliability tells you how consistently a method measures something. If you are doing experimental research, you also need to consider internal and external validity, which deal with the experimental design and the generalizability of results.Ĭontinue reading: The 4 Types of Validity in Research | Definitions & Examples The 4 Types of Reliability in Research | Definitions & Examples Note that this article deals with types of test validity, which determine the accuracy of the actual components of a measure. In quantitative research, you have to consider the reliability and validity of your methods and measurements. Criterion validity: Do the results accurately measure the concrete outcome they are designed to measure?.Face validity: Does the content of the test appear to be suitable to its aims?.Content validity: Is the test fully representative of what it aims to measure?.

Construct validity: Does the test measure the concept that it’s intended to measure?.If a method measures what it claims to measure, and the results closely correspond to real-world values, then it can be considered valid. Validity tells you how accurately a method measures something. The 4 Types of Validity in Research | Definitions & Examples

Examples of reliability and validity