Categories: All - data - sampling - surveys - questions

by sheri okland 15 years ago

395

Surveys

The text outlines various aspects of conducting and analyzing surveys, emphasizing different sampling methods, types of questions, and data analysis techniques. It explains the benefits of stratified random sampling over simple random sampling, noting its ability to reduce variation by dividing a heterogeneous population into smaller homogeneous groups.

Surveys

Surveys

Types of Questions

Tips
ask easier quetsions first
Start with general and then go more indepth
Intensity
give a neutral

I have no judgement

I don't know

7 point scale
Comment Boxes
Humanize the data
gets at the why?
qualitative
Open-ended
construct categories for each possible answer in advance
infinite number of possible answers
respondents write the answer out in their own words

divise a method for categorizing

Closed
lists possible answers

determine feelings/opinions

background questions
demographics

Non-random Sample

Judgement/Puposive Sampling
ask expert to define members
Systematic
once started-selection is nonrandom
where K is equal to the population size divided by the required sample size
choose the kth member in the pop.
primarily for ease and speed of identifying participants
nonrandom
produce larger sampling errors
every nth person is chosen

random Sample

Stratified Random Sampling
superior to a simple random

less variation

divided into smaller homo groups before sample

homogeneous groups within heterogeneous population
combination of independent samples
2 conditions
the selection of any member must have no influence on any other selection
each person in population has a chance to be chosen
contains least amount of sampling error
it is an unbiased sample

Data Analysis

response rate
Subtopic

sent out divided by # sent back

Ratio Analysis is the 4th Indexes???
Nominal Data
age groups, male/female (no way to find out mean of group
Ordinal data
Satifisfaction data
descriptive - report frequencies (or %
Interval Data
Contents of a Survey
Follow-up with non-responders
Questions (survey)
Instructions

What to do if you don't know an answer

don't skip question

Cover Letter

Confidentiality of results

Who is sponsoring the survey

IRB

How it will be important to the person

Purpose - why to complete

means error
Sample Survey
disadvantages

lack of representatives

insufficient sample size

risk

unbiased sampling techniques

smallest group hsould have is 30 in a survey

get as large a population as possible

inferential statistics
representative part of a whole group
what type of scale
truer average for a 10 point scale then a 4 point scale

Definition:

The proper data will be processed correctly and efficiently to produce the information required to shed light on and provide a solution to the original problem.

4-100 point

Feelings/Perceptions

As big a scale as possible

Clearly define the problem
Decide what statistics are needed

type of questions needed