Best Video on Validity and Reliability || part-9 || Research Methodology

Hi guys! This is the 9th part of research methodology playlist,where I have discussed VALIDITY and RELIABILITY and its types ,which is a part of ugc net unit-2 syllabus AND it will help you in your first paper also ,so watch full playlist.
Hope so that it will help you in your CUET-PG and NET/JRF preparation .

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Validity in research refers to the extent to which a study accurately measures or reflects what it claims to measure or reflect. There are several types of validity:

1. Internal validity: The extent to which a study accurately demonstrates a causal relationship between variables without interference from other factors.
2. External validity: The extent to which the results of a study can be generalized to other populations, settings, or times.
3. Construct validity: The degree to which a measurement accurately represents the underlying theoretical construct it’s intended to measure.
4. Content validity: The extent to which a measurement covers the full range of the construct it’s intended to measure.
5. Criterion validity: The degree to which a measurement accurately predicts or correlates with a specific criterion or outcome.
6. Face validity: The extent to which a measurement appears to measure what it claims to measure based on face value.

Each type of validity is important in different ways and is assessed using various methods depending on the nature of the study.

Reliability in research refers to the consistency or stability of a measure or observation. There are several types of reliability:

1. Test-Retest Reliability: Consistency of a measure when the same test is administered to the same individuals on two or more occasions.
2. Inter-Rater Reliability: Consistency of observations or judgments made by different raters or observers.
3. Parallel Forms Reliability: Consistency of results across different versions of the same test or measure.
4. Internal Consistency Reliability: Consistency of results across items within a single test or measure, typically assessed using methods like Cronbach’s alpha.
5. Split-Half Reliability: Consistency of results obtained from splitting a test into two halves and comparing the scores on each half.

Reliability ensures that the results of a study are replicable and dependable, which is essential for drawing accurate conclusions.