Survey (human research)
In research of human subjects, a survey is a list of questions aimed at extracting specific data from a particular group of people. Surveys may be conducted by phone, mail, via the internet, and sometimes face-to-face on busy street corners or in malls. Surveys are used to increase knowledge in fields such as social research and demography.
Survey research is often used to assess thoughts, opinions, and feelings. Surveys can be specific and limited, or they can have more global, widespread goals. Psychologists and sociologists often use surveys to analyze behavior, while it is also used to meet the more pragmatic needs of the media, such as, in evaluating political candidates, public health officials, professional organizations, and advertising and marketing directors. A survey consists of a predetermined set of questions that is given to a sample. With a representative sample, that is, one that is representative of the larger population of interest, one can describe the attitudes of the population from which the sample was drawn. Further, one can compare the attitudes of different populations as well as look for changes in attitudes over time. A good sample selection is key as it allows one to generalize the findings from the sample to the population, which is the whole purpose of survey research.
A census is the procedure of systematically acquiring and recording information about the members of a specific given population. It is a regularly occurring and official count of a particular population. The term is used mostly in connection with national population and housing censuses; other common censuses include agriculture, business, and traffic censuses. The United Nations defines the essential features of population and housing censuses as "individual enumeration, universality within a defined territory, simultaneity and defined periodicity", and recommends that population censuses be taken at least every 10 years.
Other household surveys
Other surveys than the census may explore characteristics in households, such as fertility, family structure, and demographics.
Household surveys with at least 10,000 participants include:
- General Household Survey, conducted in private households in Great Britain. It is a repeated cross-sectional study, conducted annually, which uses a sample of 9,731 households in the 2006 survey.
- Generations and Gender Survey, conducted in several countries in Europe as well as Australia and Japan. The programme has collected least one wave of surveys in 19 countries, with an average of 9,000 respondents per country.
- Household, Income and Labour Dynamics in Australia Survey, where the wave 1 panel consisted of 7,682 households and 19,914 individuals
- Integrated Household Survey, a survey made up of multiple other surveys in the UK. It includes about 340,000 respondents, making it the largest collection of social data in the UK after the census.
- National Survey of Family Growth, conducted in the United States by the National Center for Health Statistics division of the Centers for Disease Control and Prevention to understand trends related to fertility, family structure, and demographics in the United States. The 2006-2010 NSFG surveyed 22,682 interviews.
- Panel Study of Income Dynamics in the United States, wherein data have been collected from the same families and their descendants since 1968. The study started with over 18,000 nationally representative individuals. It involved more than 9,000 individuals as of 2009.
- Socio-Economic Panel, a longitudinal panel dataset of the population in Germany. It is a household based study which started in 1984 and which reinterviews adult household members annually. In 2007, the study involved about 12,000 households, with more than 20,000 adult persons sampled.
- UK households: a longitudinal study, now known as Understanding Society. Its sample size is 40,000 households from the United Kingdom or approx. 100,000 individuals.
A single survey is made of at least a sample (or full population in the case of a census), a method of data collection (e.g., a questionnaire) and individual questions or items that become data that can be analyzed statistically. A single survey may focus on different types of topics such as preferences (e.g., for a presidential candidate), opinions (e.g., should abortion be legal?), behavior (smoking and alcohol use), or factual information (e.g., income), depending on its purpose. Since survey research is almost always based on a sample of the population, the success of the research is dependent on the representativeness of the sample with respect to a target population of interest to the researcher. That target population can range from the general population of a given country to specific groups of people within that country, to a membership list of a professional organization, or list of students enrolled in a school system (see also sampling (statistics) and survey sampling).
Correlation and causality
When two variables are related, or correlated, one can make predictions for these two variables. However, it is important to note that this does not mean causality. At this point, it is not possible to determine a causal relationship between the two variables; correlation does not imply causality. However, correlation evidence is significant because it can help identify potential causes of behavior. Path analysis is a statistical technique that can be used with correlational data. This involves the identification of mediator and moderator variables. A mediator variable is used to explain the correlation between two variables. A moderator variable affects the direction or strength of the correlation between two variables. A spurious relationship is a relationship in which the relation between two variables can be explained by a third variable.
Moreover, in survey research, correlation coefficients between two variables might be affected by measurement error, what can lead to wrongly estimated coefficients and biased substantive conclusions. Therefore, when using survey data, we need to correct correlation coefficients for measurement error. The Survey Quality Predictor software (SQP) provides information about the quality of a survey question, i.e. the strength of the relationship between the latent concept of interest that the survey questions intends to measure, and the measured value given by the survey question and gives the necessary information to the user to correct their correlation coefficients for measurement error ()
Reported behavior versus actual behavior
The value of collected data completely depends upon how truthful respondents are in their answers on questionnaires. In general, survey researchers accept respondents’ answers as true. Survey researchers avoid reactive measurement by examining the accuracy of verbal reports, and directly observing respondents’ behavior in comparison with their verbal reports to determine what behaviors they really engage in or what attitudes they really uphold. Studies examining the association between self reports (attitudes, intentions) and actual behavior show that the link between them—though positive—is not always strong—thus caution is needed when extrapolating self-reports to actual behaviors, Dishonesty is pronounced in some sex-related queries, with men often amplifying their number of sex partners, while women tend to downplay and slash their true number.
The most famous public survey in the United States of America is the national census. Held every ten years since 1790, the census attempts to count all persons, and also to obtain demographic data about factors such as household income, ethnicity, and religion. The results of the 2010 US census appear online at https://www.census.gov/2010census/data/
Nielsen ratings (carried out since 1947) provide another example of public surveys in the United States. Nielsen ratings track media-viewing habits (radio, television, internet, print) the results of which are used to make decisions by and about the mass media. Some Nielsen ratings localize the data points to give marketing firms more specific information with which to target customers. Demographic data is also used to understand what influences work best to market consumer products, political campaigns, etc.
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