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Definition of Survey
A statistical analysis of answers to a poll of a sample of a population, for example, to determine opinions, preferences, or knowledge
A method of gathering information from a sample of individuals
A powerful, scientific tool for gathering accurate and useful information
Surveys combine:
The ancient but extremely effective obtaining of information from people by asking questions;
And the modern ransom sampling procedures that allow a relatively small number of people to represent a much larger population (Schuman & Presser, 1996:1)
BUT
Surveys are useless unless you have a clear grasp on what you want to understand, and from whom you want to extract information (Halperin & Heath 2012:231)
Examples of surveys
Opinion Polling - in politics
Predicting who will win an election, measuring party support, policy support/issue polls
Market Research
Brand recognition, purchasing preferences & trends, which media people like and why
Academic Research
Descriptive Surveys: Gather information on what people do and think
Analytic Surveys: Answer RQs or test hypotheses
Advantages of Surveys
Allow the measurement of things we don’t observe naturally (ex. attitude/behaviour/preference)
Can be used to collect data for a population that is too large to observe directly
They are convenient
They can reach vulnerable population groups
They can detect small relationships that are not usually observed
They are (relatively) cheap
Disadvantages of Surveys
Multiple points of error within the collection & design of surveys
Creating surveys is not an “exact science” but instead a series of best practices (Howard & Pressor, 1996)
Deliberate or accidental mis-representation of results
Challenges to survey reputation? Example: Data collection exercises by political parties
Descriptive Surveys - Types of Surveys
Used to gather information largely on what people do and think. Thus a researcher might use this type of survey to find out what young people think about drugs, what drugs they might use, and with what frequency
Analytic Surveys - Types of Surveys
Used to answer research questions or to test hypothesis. A researcher might collect data from the general population which detailed information on health habits ex. diet, exercise, smoking, and so on. This information might then be used to make predictions concerning the state of health of the population at some future date. For example, it might be possible to predict the amount of heart disease in a population ten years hence, based on this sort of data
Cross-sectional surveys - Types of Surveys
Collect information from the sample at the same point time
(Time and population survey)
Advantage
All information collected at once
Longitudinal survey - Types of surveys
Information is collected at different points in time in order to study changes in time
Trend study
Cohort study
Panel study
(Time and population)
Types of Longitudinal Surveys
Trend Study
Cohort Study
Panel Study
Trend Study - Type of Longitudinal Survey
Members of the population can change, sample many times over different points of time to see if any trends appear
Example:
A researcher might be interested in the attitudes of high school principals toward the use of flexible scheduling
Population: head teachers in Merseyside
Instrument: Questionnaire
Number of samples: 3 in a school year
Advantage
Members of the population can change over time without affecting the result
Disadvantage
Not for analysing particular individuals but groups
Cohort Study - Types of Longitudinal Surveeys
Members of the population do not change, but maybe members surveyed change
Example:
The media head department of a school wants to know the importance of teaching methodologies and languages
Population: History students graduated from 1990 to 1999
Instrument: Questionnaire
Number of samples: 2 in a year
Advantage
It is possible the selection of different sample
Disadvantage
Members of population cannot change
Panel Study - Types of Longitudinal Surveys
Always survey the same sample
Advantage
Same sample always
Disadvantage
Loss of individuals could happen
Kinds of Question Structure
Open-ended
Close-ended with ordered choices
Close-ended with unordered response choices
Partially closed-ended
Nominal - Question Structure
Variables which have two or more categories
Ex: Homes: Detached, Semi-detached, Flats, Bungalows…
Dichotomous - Question Structure
Only two categories
Ex: Yes/No
Ordinal - Question Structure
Ranked variables/categories
Ex: Education, class, or agreement scales (strongly like, like, neutral, dislike, strongly dislike)
Interval - Question Structure
Numerical values that can be measured on a continuum
Example: Temperature
Continuous: Assume the number can go be theoretically infinite with a huge number of fractions of the interval (height)
Discrete: Assumes a finite number with a finite number of possible values (marks given to an essay)
Self-administered Questionnaires
Standard set of questions on a sheet of paper, app, or website respondents fill themselves
Group-administered Questionnaires
Groups of respondents are brought together to respond to the questionnaire
Interview Survey
Face-to-Face, or over the phone. Interviewee works with respondents through the questions
Steps in survey research
Define the problem
Identify the population
Choose how you will collect the data (telephone? engagement with relevant communities? external polling company?)
Design, construct, pilot, and refine
Select your representative sample
Administer the survey
Analyse, interpret, and communicate results
Sources of Error (Halpering & Health 2012:232)
Sample
A small piece of something that you hope represents the whole
Requirements for Accurate Estimates
The sample is large enough to yield the desired level of precision
Everyone in the population has an equal (or known) chance of being selected for the sample
Questions are asked in ways that enable the people in the sample to respond willingly and accurately
The characteristics of people selected in the sampling process but who do not participate in the survey are similar to the characteristic of those who do
Questions should be
Clear and understandable
Be single-barreled
Be specific and not vague
Avoid leading questions
tendency to say yes to yes/no questions
Consider the order of questions
when ranking, candidates with names that alphabetically comes higher up have an advantage over others
Responses - How to create good/bad surveys
Knowledge: Questions which assume knowledge on behalf of the surveyed
Respondents might guess
Respondents might look for hints in the question to help them make sense of it (path of least resistance)
Respondents are terrible at predicting (would X influence your vote?)
Respondents sometimes lie
Social Desirability Bias
Bradley Effect