Which statements about test-score reliability are correct? (i) It is fixed for a test regardless of population or conditions. (ii) In classical test theory, reliability equals the correlation of scores on parallel forms under the model assumptions. (iii) Estimated reliability can vary from sample to sample. (iv) Sample size never affects the precision of a reliability estimate. (v) High reliability guarantees valid interpretation for every purpose.
(ii) and (iii)
Statements ii and iii are correct. Reliability concerns scores in a specified population and conditions, and estimates vary with sampling. Sample size affects estimation precision. Consistency alone does not establish validity for a proposed interpretation or use.
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.