sampling and selcting participants

Question 1

define population

Answer 1

the entire group of people belonging to a particular catagory

Question 2

define sample

Answer 2

a subsection of the population that has been selected for a research study

Question 3

what are the 4 types of sampling

Answer 3

• convenience sampling
• snowball sampling
• random sampling
• stratified sampling

Question 4

define convenience sampling

Answer 4

Researchers select participants that are easily accessable

Question 5

strengths of convenince sampling

Answer 5

• quick, uncomplicated method of data collection
• inexpensive
• readily avalaible sample

Question 6

weaknesses of convenience sampling

Answer 6

• researcher bias or low validity
• generalisablity

Question 7

define snowball sampling

Answer 7

Non-probability sampling method where currently enrolled participants help recruit future subjects for study

Question 8

stregths of snowball sampling

Answer 8

• enables access to hidden populations
• saves money and time

Question 9

weaknesses of convenience sampling

Answer 9

• bias
• not always representative of the greater population

Question 10

define random sampling

Answer 10

all members of a population are collected together, and a RNG or other randomised selection proccess is used to selct participants

Question 11

strenths of random sampling

Answer 11

• minimise bias

Question 12

weakneses of random sampling

Answer 12

• expensive and time consuming
• access to respondants
• sampling error

Question 13

define stratified sampling

Answer 13

ensures that sub groups whos data os of interest to the research question are represnted in the sample in the same proportion as they appear in the population

Question 14

strengths of stratified sampling

Answer 14

• accuracy
• minimise bias
• cost effective compared to sampling the whole population

Question 15

weaknesses of stratified sampling

Answer 15

• ethical issues
• low external validity
• limited by research design