Generalization/Transferability in Research

What does GENERALIZABILITY mean in the context of quantitative research?

• The ability to apply findings from a sample to a broader population

• The ability to measure internal consistency

• The ability to control variables in an experiment

• The ability to replicate a study

External validity-ecological validity refers to the ability to generalise from an experimental setting to a _________?

• real life setting

• controlled laboratory setting

• virtual environment

• historical context

Which type of validity describes how well the sample used can be extrapolated to a population as a whole?

• Ecological validity

• Population validity

• Construct validity

• Internal validity

Generalization means drawing inferences from results of a study to something outside the study (external validity). This is used when the stimulus is _________.

• quantitative

• subjective

• random

• biased

The most appropriate model of generalization in quantitative research would be _________.

• statistical

• theoretical

• qualitative

• subjective

What is required for generalization to be typically representative of the target population?

• A random sample is required for generalization to be typically representative of the target population.

• A large sample size is always sufficient for generalization.

• Generalization only requires a convenience sample.

• Generalization can be achieved with any non-random sample.

The sampling method: Is it a non-probability sample?

• Convenience sample

• Random sample

What does population validity refer to in the context of generalizing research findings?

• Population validity refers to the size of the sample and whether it is statistically representative of the population.

• Population validity refers to the accuracy of the measurement tools used in the study.

• Population validity refers to the consistency of the results when the study is repeated.

• Population validity refers to the ethical considerations in conducting research.

Increasing the number of participants in a study increases generalisability because:

• A) It adds statistical power and makes statistical significance more likely

• B) It decreases the likelihood of bias

• C) It reduces the need for replication

• D) It eliminates selection bias

Is there any selection bias in this example, credit for participation or monetary reward for participating in a study?

• True

• False