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Flashcards in chapter 5 Deck (20):
1

non probability sampling

subjects are selected in a way not suggested by probability theory

reliance on subjects
purpose/ judgement sampling
snowball sampling
quota sampling

2

reliance sampling ??

no control over representativeness
only sometimes justifiable

3

judgement sampling

the units to be observed are selected on the basis of the researchers judgement

subjects direct the sampling in certain directions

4

snowball sampling

the person being interviewed can suggest other people to come in and be interviewed

uncovers the dynamic of natural and organic social network

5

quota sampling

subjects are selected based on the basis of pre specified characteristics so that the next sample will have the same characteristics

field research

6

informant

someone who knows shit about something specific and is welling to share that knowledge with you

7

probability sampling

samples selecting in accord with probability theory
large scale surveys

more representative because bias is avoided
permits researchers to estimate the accuracy of representativeness of the sample

8

representativeness

a sample will be representative if all the members of the population have a chance at being in the sample

EPSEM

9

element, population, study population

element; unit selected in a sample

population; specified aggregation of the elements in the study

sp; each element has an equal chance of selection (also random selection def)

10

sampling unit

elements considered for selection in a stage of sampling

11

parameter

summary discription of a given variable in a population

12

sampling error

the degree of error to be expected of a given sample design

13

confidence level and confidence interval

CL; population parameter lies within a certain confidence interval

CI; the range of values in which a population parameter lies

both provide basis for determining the appropriate sample size for a study

14

sampling frame

a list of unit that make up the population from which the sample is made

15

simple random sampling

each person is assigned the numbers and then random numbers/persons are included in the sample

not the most accurate sampling method

16

systematic sampling

random sampling with a pattern,
every kth unit is chosen to participate
a bit more accurate than simple random sampling

sampling interval; distance between elements selected from a population in a sample

population size/ sample size

sampling ration; the proportion; sample size/population size

17

stratified sampling ??

grouping of units into homogenous groups

stratification can take place at each stage of sampling

18

cluster sampling

theres mini samples under a bigger sample that have random units and are randomly chosen

19

probability proportionate to size ??

cluster sampling but the clusters aren't based on equal probability, but on probability according to size

20

weighing

balancing out the proportions of the randomness through it off