GENERAL KNOWLEDGE

Detailed explanation-1: -Validity is defined as the ability of an instrument to measure what the researcher intends to measure. There are several different types of validity in social science research. Each takes a different approach to assessing the extent to which a measure actually measures what the researcher intends to measure.

Detailed explanation-2: -Measurement validity is the extent to which the data or results of a research method represent the intended variable. Valid results display accuracy in research methods and results. It’s important for methods and results to have validity so the research results can be useful and applied in various settings.

Detailed explanation-3: -Reliability and validity are both about how well a method measures something: Reliability refers to the consistency of a measure (whether the results can be reproduced under the same conditions). Validity refers to the accuracy of a measure (whether the results really do represent what they are supposed to measure).

Detailed explanation-4: -Predictive validity is a type of criterion validity, which refers to how well the measurement of one variable can predict the response of another variable.

Detailed explanation-5: -Reliability is consistency across time (test-retest reliability), across items (internal consistency), and across researchers (interrater reliability). Validity is the extent to which the scores actually represent the variable they are intended to. Validity is a judgment based on various types of evidence.