Question

How can quantitative research be generalizable to an entire population?​

Answer 1

In order for results from a sample to be generalisable to a whole population we need to ensure that the samples is a random, or unbiased, as we can achieve.

Good statistical method does not simply claim that the sample represents the population. It allows us to state the level of confidence we can have that the sample represents the broader population accurately.

With a small sample we have less confidence than with a large sample. obviously, but we can be much more specific about just what level of confidence we can have.

Answer 2

Generalizability is possible when data of a large number of population is obtained.

• Quantitative research provides the foundation for producing broad generalizability.
• Quantitative research is collecting and analyzing numerical data.
• It can be used to find averages, predictions and generalize results in a wider population.
• The larger the sample population, the more one can generalize the results.
• Adequate information or samples of the population is absolutely necessary to generalize.
• For better quantitative research, a probability sampling method is used wherein assumptions are made regarding the probable samples, for example, simple random sampling.

Disadvantages of generalization through quantitative research:

• In a random sampling method some sections of the population might not be represented in the sample.
• It couldn't provide in depth information as it is a generalization.

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