5 Written Questions
5 Matching Questions
 three types of research design?
 ordinal scale?
 survey design? I M Q S W SL
 exploratory individual?
 step 3 exploratory?
 a causal
descriptive
exploratory  b >interviews, focus groups, case studies of groups or individuals
chosing numbers depends on the problem, target audience, time and cost  c categorises the variables in meaningful way
based on centile statistics  d indepth interviews
 e 1) info needed exploratory research to gain insight who? where? how?
consider target market
2) method
3) questions
that overcome unwillingnes to respond
avoid double barrelled questions
link to research
4) structureopen vs close ended, structured
5) wordingsimple, appropriate length, non leading
6) sequence and layout gernal to specific, senstive questions later
5 Multiple Choice Questions
 scale dependent vairable and 1 or more independent variables that are levels (0 or 1)
 statistical test of the relationship between variables
sig <.05 relationship exists  no reponses given survey intros, to many possibilities, precision is important
ad: no influence, wide range responses
disad: time consuming, variability of depth and response, requires interpretation, recording precision difficult  looks for linear relationship
<.05 shows shows 2 variables related
pearsons indicated strength of relationship (ignore negatives) 1=perfect linearity, 0=random
direction (+/)
infer cause and effect e.g. draw causal diagram  regression
5 True/False Questions

step 4 causal and descriptive? 3 → >statistical techiniques to investigate relationship between:
2+ catagorical variables
2+ scale variables
1+ scale independent and 1+ scale dependant 
if a relationship exists the null hypothesis is? → significance is <.05

attribute dollar value? → measures distance between any two points on scale
random start and measurement
based on additional statistical techniques
e.g likert 
influences on survey types? 4 → target
cost
time
response rate 
regression? linear of IV and DV → looks for linear relationship
<.05 shows shows 2 variables related
pearsons indicated strength of relationship (ignore negatives) 1=perfect linearity, 0=random
direction (+/)
infer cause and effect e.g. draw causal diagram