2.1

Question 1

format for thesis questions

Answer 1

what is the relationship between xyz, how is xyz affected by abc

Question 2

analyzing thesis question

Answer 2

what are main variables, statistically measurable, enough accessible data, social relevance

Question 3

population

Answer 3

group being studied

Question 4

sample

Answer 4

selection of individuals from population

Question 5

inference

Answer 5

prediction about population based on sample

Question 6

cross sectional study

Answer 6

different groups at same time, specific timeframe, wide range of individuals

Question 7

longitudinal study

Answer 7

small group over a long period of time

Question 8

time series data

Answer 8

data accumulated over a long period of time

Question 9

qualitative data

Answer 9

not measurable numerically, categorical, multiple choice answers

Question 10

qualitative data

Answer 10

bar graph circle graph pictographs

Question 11

quantitative data

Answer 11

numerical, discrete or continuous

Question 12

quantitative discrete

Answer 12

bar, histogram (over long range)

Question 13

quantitative continuous

Answer 13

box and whisker, histogram

Question 14

simple random sampling

Answer 14

fast/easy, may not be representative of pop, e.g. pick names out of hat

Question 15

systematic random sampling

Answer 15

random starting point, then select every nth object, n is sample interval = pop size/sample size, population spread

Question 16

stratified random sampling

Answer 16

pop broken up into groups, then random proportional sample from each

Question 17

cluster random sampling

Answer 17

population broken up into groups, then random sample of groups (all objects)

Question 18

multi stage random sampling

Answer 18

population broken up into groups, then random sample of groups (random sample of objects)

Question 19

destructive random sampling

Answer 19

samples used up by testing process, usually for quality control

Question 20

factors that affect reliability

Answer 20

variability of pop, sampling method, degree of precision

Question 21

non random sampling

Answer 21

convenience sampling, volunteers

Question 22

types of questions

Answer 22

open, closed

Question 23

open questions

Answer 23

opinion/list, sometimes difficult to interpret

Question 24

closed

Answer 24

information, checklist, ranking, rating

Question 25

good questions

Answer 25

simple, relevant, specific, readable

Question 26

bad questions

Answer 26

jargon, abbreviations, negatives, leading respondents, insensitive

Question 27

types of data

Answer 27

primary, secondary, administrative

Question 28

types of bias

Answer 28

sampling, non-response, household, response

Question 29

sampling bias

Answer 29

sample doesn’t represent population, inappropriate sampling technique or sample size not large enough

Question 30

non-response bias

Answer 30

results are influenced because surveys are not returned

Question 31

household bias

Answer 31

type of respondent is over represented because diff sized groups polled equally

Question 32

response bias

Answer 32

factors in sampling method that influence the result, poor design of questionnaire, leading questions