Types of sampling

• Random - Unbiased picking . All members have an equal chance of being picked
• Opportunity - Asking people there if they want to take part in the experiment .
• Volunteer - Consists of people who volunteered .
• Systematic - Choosing every nth member of the population .
• Stratified - Splitting the sample up into groups based on certain characteristics , then randomly selecting from each group.
• You can do random sampling through:

  Writing everyone's name down on little bits of paper and pulling the amount of names needed for the desired sampled size -make sure factors like: Same size paper, Picker should be blindfolded, Hat shook each time-

  Giving everyone a number and using a random number generator on the computer to pick certain people until the desired sample size is reached .
• You can do opportunity sampling through:

  Asking people who are around and available
• You can do volunteering sampling through:

  Researcher putting an advert online/in a newspaper and waiting for people to apply
• You can do systematic sampling through:

  Producing a sampling frame
• You can do stratified sampling through:

  Choosing a sample which consists of participants from each category in the same proportion. Identify your subgroups that make up the target population then work out the proportions that are representative.