An independent variable in an experimental study, which is manipulated by the investigator at his will, is technically known as:
Treatment variable
A treatment variable is the independent variable deliberately manipulated to create experimental conditions. The researcher measures its effect on the dependent variable. A moderator changes the strength or direction of a relationship; a confound can distort the estimated treatment effect.
An investigator wants to conduct a study on orthopaedically handicapped children. The type of sampling to be used would be
Match each characteristic in List I with the validity evidence in List II.
List I: (a) Test scores predict later performance on an external criterion; (b) Scores support interpretation in terms of a theoretical psychological construct; (c) Test content represents the intended knowledge domain; (d) Scores relate to an appropriate external criterion measured at about the same time.
List II: (i) Content validity; (ii) Predictive validity; (iii) Concurrent validity; (iv) Construct validity.
The element that differentiates between stratified and quota sampling techniques is
If a sample survey of the same 100 households is conducted in a particular village, annually for five years, the data so collected will be described as :
Assertion A: A concurrent validity coefficient can exceed a predictive validity coefficient when intervening changes weaken the relationship with the later criterion.
Reason R: A higher validity coefficient alone does not establish that a test is more suitable for a particular purpose.