Research Methodology MCQs

Haphazard sampling is another term for convenience sampling, where participants are chosen based on ease of access.

Purposive sampling is based on selecting individuals deemed to represent the population effectively.

Quota sampling involves selecting a sample that reflects specific quotas for subgroups.

Snowball sampling uses initial participants to recruit additional participants.

Snowball sampling is ideal for studying populations that are difficult to access or identify.

Snowball sampling recruits new participants based on referrals from initial participants.

Convenience sampling can lead to biased, non-representative samples because it relies on ease of access rather than random selection.

Probability sampling is preferred for generalizability because it involves random selection, reducing bias.

Qualitative methods are used in descriptive and exploratory studies to gain detailed insights.

Rejection of the null hypothesis indicates that the observed difference is statistically significant.

Systematic sampling selects individuals based on a fixed interval (e.g., every 5th person).

Hypotheses can arise from a variety of sources, including general culture, scientific theories, and personal experiences.

Double sampling involves drawing a large initial sample and then selecting a sub-sample from that.

A declarative form of hypothesis clearly states the relationship or difference between the variables.

Accidental sampling refers to selecting a sample based on convenience.

The prediction form anticipates a certain relationship or outcome between variables.

Judgment (or purposive) sampling involves selecting participants based on the researcher’s judgment.

Hypotheses in question form pose the inquiry as a question to be investigated.

The null form predicts no significant difference between the variables.

The population is the entire group the researcher is interested in studying.

Population refers to the larger group to which the researcher wants to generalize their findings.

A sample is a subset of the population chosen for analysis.

The sample's characteristics should reflect those of the population from which it is drawn.

Sampling refers to selecting individuals to represent the population.

Probability sampling ensures each individual has a known chance of being chosen.