malimu intro to surveys
TRANSCRIPT
Introduction to Surveys
Definition of survey
Study involving a subset (sample) of individuals selected from a larger population
where variables are observed or measured at a single point in time
aggregated over all individuals in the sample
to obtain a summary statistic
Observational studies
exposure outcome
outcome exposure
outcome exposure
cohortCause-effect
case-controlEffect-cause
cross-sectional
Extension of cross-sectional design Longitudinal
multiple cross-sectional surveys can estimate incidence if results between multiple surveys differ
true difference? samples very different?
Panel design multiple cross-sectional surveys using exactly same sample
Pseudo-cohort cohort: one age group over time pseudo-cohort: different age groups studied cross-sectionally at one
point in time
Survey To investigate
if taxi drivers are more likely to use seat belts than drivers of private automobiles
To determine the community prevalence of malnutrition measles Tuberculosis HIV
Steps in designing a surveyDefine survey objectivesIdentify study populationIdentify and define study variablesEstablish plan of analysisDetermine sample sizeChoose sampling methodDecide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Survey objectives
Formulate the objectives of the survey: What are you interested in finding out?
Who do you want to study?
When do you want to do the survey?
What do you expect to learn and why?
Attributes of “SMART” objectives
S pecific
M easurable
A ction oriented
R ealistic
T ime frame
Example 1: Objectives
What? What are the knowledge, attitudes and practices (KAP) to HIV/AIDSWho? of adults > 18 years of ageWhere? in MwananyamalaWhen? in year 2006Why? prior to the start of a new health education programme
Example 2: Objectives
To measure and compare the prevalence of smoking among MOH and Ministry of Agriculture employees in Tabora
To measure and compare the proportion of non-smokers in MOH and MOA exposed to tobacco smoke in their working environment and to determine the extent of the exposure
Steps in designing a surveyDefine survey objectives Identify study populationIdentify and define study variablesEstablish plan of analysisDetermine sample sizeChoose sampling methodDecide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
(Target-) Population
Sample (study population)
Study population
Study population Objectives target population Study population must be representative of
target population Time: seasonality, day of the week, time of the day Place: urban, rural Persons: age, sex, other characteristics
A non-representative sample will produce biased results (validity )
Steps in designing a surveyDefine survey objectives Identify study population Identify and define study variablesEstablish plan of analysisDetermine sample sizeChoose sampling methodDecide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Study variables
Identification as many as necessary but as few as possible each must “pay its own way” if of no use in analysis, do not include variable
Requirements clear definition method of measuring should be:
repeatable valid
Identify study variables
Objective: To measure and compare the prevalence of smoking among MOH and MOA employees in Tabora
Variables: Smokers
in MOH in MOA
Definition: A smoker is someone who, at the time of the survey, smokes
cigarettes or any other tobacco products either daily or occasionally. daily: smokes any tobacco product 1 / day occassionally: smokes, but not every day
Steps in designing a surveyDefine survey objectives Identify study population Identify and define study variables Establish plan of analysisDetermine sample sizeChoose sampling methodDecide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Establish plan of analysis (POA)
How will the key variable(s) be measured to meet the objectives? Proportion, mean, ratio, ... Level of measurement influences
questionnaire design type of statistical analysis
What additional variables will need to be measured?
How will the results be used in the analysis (dummy tables)?
Plan of analysisTo measure and compare the prevalence of smoking among MOH and MOA staff in Tabora
Variables obtained from all study participants
Number (%) of persons smoking - daily - occasionally
Number (%) of persons smoking cigarettes, pipefuls of tobacco, or cigars / cigarillos Number (%) of nonsmokers who are
- neversmokers - exsmokers (and time since quitting)
Variable obtained from smokers Average number of cigarettes, pipefuls of tobacco, cigars / cigarillos smoked per day or week
Baseline characteristic of study population in UNHCR and UN -------------------------------------------------------------------------------------------------------- MOH MOA N = X N = Y -------------------------------------------------------------------------------------------------------- number (percent) Age*
30 years or younger 31 - 45 years 46 years or older
Female Work status
Staff member Short Term Professional Short Term Consultant Others
Dummy table - describe sample
Prevalence of smoking among staff of UNHCR and UN ------------------------------------------------------------------------------------------------------ MOH MOA N = X N = Y ------------------------------------------------------------------------------------------------------ number, percent Smokers
smoking daily smoking occasionally total n = x n = y
Nonsmokers
neversmokers exsmokers
quit 1 month ago quit 2-6 months ago
Dummy table - describe variables
Steps in designing a surveyDefine survey objectives Identify study population Identify and define study variables Establish plan of analysis Determine sample sizeChoose sampling methodDecide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Estimating sample size• Indicate expected frequency of factor of interest• Decide on desired precision of the estimate• Decide on acceptable risk that estimate will fall
outside its real population value• Adjust for estimated design effect• Adjust for expected response rate• (Adjust for population size, if sample > 10% of target
population)
Methods used in probability samples
Simple random sampling Systematic sampling Stratified sampling Cluster sampling Multi-stage sampling
Steps in designing a surveyDefine survey objectives Identify study population Identify and define study variables Establish plan of analysis Determine sample size Choose sampling method Decide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Method of data collection
Personal interview Telephone Self administered
Questionnaire Mail Computer direct E-mail
What method to choose?
Nature of questions What is the research question to be
addressed? Convenience
Which method is most readily available? Cost
How much money is available?
Personal interviews “face-to-face” Advantages
population coverage can clarify issues, allows complex questions longer interviews tolerated (2-3 hours) usually high response rate (~90%)
Disadvantages expensive slow intrusive requires interviewing skills interviewer bias
Self-administered questionnaires(mail or hand distributed)
Advantages cheap no interviewer bias long list of response categories possible sensitive questions
Disadvantages slow does not allow clarification poor response rate (particularly in populations of lower education and
literacy level) population coverage? who completes questionnaire?? sequence of questions cannot be enforced
Telephone surveys “Averages” advantages and disadvantages of personal and
mail surveys Advantages
relatively fast sampling through random digit dialling
Disadvantages need telephone problem with answering machines, mobile telephones no one at home during the day. Limits calling time to a window of 6-
9 p.m. interview time < 20 minutes
Summary interviewing methods
Steps in designing a surveyDefine survey objectives Identify study population Identify and define study variables Establish plan of analysis Determine sample size Choose sampling method Decide on mode of data collection Design, field test and revise questionnaireTrain interviewers, conduct field workCheck all interview forms for errorEnter, tabulate and analyse the results
Preparing for data analysis
Remember “GIGO” principle “Garbage in - garbage out” The computer cannot make data better than
they are Coding Data entry Data cleaning and editing
Data analysis
Type of data analysis is dependent on the of outcome variable Continuous variables Categorical variables
Points about survey data analysis
Target population in a survey often finite Most software packages assume:
infinite population sizes sampling with replacement both conditions often not upheld in surveys
Software specially developed for surveys SUDAAN (Survey data analysis) Stata Epi Info CSurvey
Ethical issues Informed consent
purpose of study explained? consent given by individual
to be included? Confidentiality
an individual should not be identifiable Service provision
No survey without service (?)
Response rate Dependent on
length and mode of interview educational level perceived threat of questions “warm” versus “cold” interviews
warm = interviewee has prior knowledge about survey Non-responders are almost always different from
responders To reduce non-response bias
follow up non-responders at least once
Use of results
Biggest fault in survey design: Results are not disseminated or used.
Why was the suryey carried out in the first place?