Question

research methods for the behavioral sciences 5th edition pdf

Chapter 5.  

Explain the relationship between a population and a sample. Why is it important that a sample is representative?  

In what way can it be problematic to have a too large a sample size?

What is the difference between a probability sample and a non-probability sample? Give an example of each.

Describe how snowball sampling might overcome some of the limitations of a judgemental sample. Give an example how it works.

Answer 1

Population is the entire team of samples and when a few from those were selected they are called the samples. Relationship is that all the populations are not samples but all the samples are populations. Representativeness is required in the sample for easy identification purposes.

Too large sample size is tough to control and the applied formula,s might not work properly . Monitoring the samples are also tough thus in case of psychology if one has to measures the effects on its behaviours too large sample size will hamper it.

Probability sample is the sample which are generally seleted after several researches to make the study or research successful . Non probability sample is not selected after plannings thus might got stuck in between .

Snowbal sampling averages the populations rather than that of the judgemental types but those judgements not always are true and it creates problems afterwards.