sampling

Question 1

random sample

Answer 1

all members of target population have an equal chance of being selected eg random name generator

Question 2

systematic

Answer 2

every nth numeber on a list is selected for a condition
sampling frame is produced putting into alphabetic order so bias cannot conflict

Question 3

stratified

Answer 3

reflects proportions of people in the target pop or wider pop
selected from their subcatagory or strata eg over 50

Question 4

opportunity

Answer 4

selecting anyone willing

Question 5

volunteer

Answer 5

selecting themselves eg seeing advert in newspaper

Question 6

evaluation random

Answer 6

internal validity is enhanced because there should be no bias or extraneous varibles invcolved in the slection process
however a list of the target population may be difficult to obtain
participants may also refuse to take part

Question 7

evaluation systematic

Answer 7

objective no bias
time consuming
may refuse to take part

Question 8

evaluation stratified

Answer 8

makes generalisation become possible as it represenmts a population
identofied strata may not refelect all the ways the pp vary

Question 9

evaluation volunteer

Answer 9

minimal input from researcher
may only attract one profile of people

Question 10

evaluation opportunity

Answer 10

takes less time and money
researcher may decide who they want to use bias