difference between reliability and validity in research pdf

Difference Between Reliability And Validity In Research Pdf

File Name: difference between reliability and validity in research .zip
Size: 1157Kb
Published: 31.05.2021

One of the following tests is reliable but not valid and the other is valid but not reliable. Can you figure out which is which? You want to measure student intelligence so you ask students to do as many push-ups as they can every day for a week.

Reliability and Validity

Here you have all the major differences between Validity and Reliability and what it actually means:. External reliability etc. Face validity is when the tool appears to be measuring what it is supposed to measure with the content of test matching instructional objectives. Construct validity seeks the implications between a theoretical concept and a specific measuring device. It includes constructs like concepts, ideas, theories, etc. Content validity is qualitative measure where the actual content matches the measurement which is a logical method of measurement.

Intra rater reliability is a measure in which the same assessment is completed by the same rater on two or more occasions. Criterion validity is the measure where there is correlation with the standards and the assessment tool and yields a standard outcome.

Pictorial Demonstration of Validity and Reliability:. Difference Between Reliability and Validity. Reliability And Validity from James Penny. Reliability and validity from Priyamadhaba Behera. About Sandesh Adhikari Articles. I am Sandesh Adhikari, a dreamer, thinker, researcher and an activist. Next Solid Waste Management. Validity implies the extent to which the research instrument measures, what it is intended to measure. Reliability refers to the degree to which assessment tool produces consistent results, when repeated measurements are made.

It relates to the extent to which an experiment, test or any procedure gives the same result on repeated trials. Influencing factors for validity are: process, purpose, theory matters, logical implications, etc. Influencing factors for reliability are: test length, test score variability, heterogenicity, etc. Even if validity of an instrument is poor for certain test , it can have high reliability for other tests. Examples of different types of validity are: Face validity Construct validity Content validity Criterion validity Concurrent validity Convergent validity External validity Internal validity etc.

Examples of different types of reliability are: Test-retest reliability Parallel forms reliability Intra rater reliability Internal reliability External reliability etc.

Validity (statistics)

To browse Academia. Skip to main content. By using our site, you agree to our collection of information through the use of cookies. To learn more, view our Privacy Policy. Log In Sign Up. Download Free PDF.

Again, measurement involves assigning scores to individuals so that they represent some characteristic of the individuals. But how do researchers know that the scores actually represent the characteristic, especially when it is a construct like intelligence, self-esteem, depression, or working memory capacity? The answer is that they conduct research using the measure to confirm that the scores make sense based on their understanding of the construct being measured. This is an extremely important point. If their research does not demonstrate that a measure works, they stop using it. As an informal example, imagine that you have been dieting for a month.

By Dr. Saul McLeod , published The concept of validity was formulated by Kelly , p. For example a test of intelligence should measure intelligence and not something else such as memory. A distinction can be made between internal and external validity. Internal validity refers to whether the effects observed in a study are due to the manipulation of the independent variable and not some other factor. Internal validity can be improved by controlling extraneous variables, using standardized instructions, counter balancing, and eliminating demand characteristics and investigator effects.


Reliability and validity are concepts used to evaluate the quality of research. They indicate how well a method, technique or test measures something. Reliability is about the consistency of a measure, and validity is about the accuracy of a measure.


Assignment: Reliability and Validity in Research

The importance of measuring the accuracy and consistency of research instruments especially questionnaires known as validity and reliability, respectively, have been documented in several studies, but their measure is not commonly carried out among health and social science researchers in developing countries. This has been linked to the dearth of knowledge of these tests. This is a review article which comprehensively explores and describes the validity and reliability of a research instrument with special reference to questionnaire. It further discusses various forms of validity and reliability tests with concise examples and finally explains various methods of analysing these tests with scientific principles guiding such analysis.

Reliability is the degree to which an assessment tool produces stable and consistent results. The obtained correlation coefficient would indicate the stability of the scores. Inter-rater reliability is especially useful when judgments can be considered relatively subjective.

0 comments

Leave a comment

it’s easy to post a comment

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <strike> <strong>