The element that differentiates between stratified and quota sampling techniques is
Randomness in the drawing of units
Both methods divide the population into groups. Stratified probability sampling selects units randomly within strata, with known selection probabilities. Quota sampling fills specified subgroup totals through non-random selection. Thus randomness in selecting units is the key difference.
Important Questions from Components of Research - Teaching
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.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 :
- Consider the following assertion and reason.
Assertion A: A concurrent validity coefficient can exceed a predictive validity coefficient when intervening changes weaken the relationship with the later criterion.
Choose the most appropriate answer.
Reason R: A higher validity coefficient alone does not establish that a test is more suitable for a particular purpose. Identify from the list of characteristics given below these which are related to a good hypothesis in a research:
a) Simplicity of explanation
b) Plausibility of explanation
c) Highly difficult to verify the postulated relations
d) Not related to an existing theory
e) Relationship formulated among variables having conceptual clarity
Choose the most appropriate answer from the options given below:
