Loading AI tools
List of questions aimed at obtaining data from a group of people From Wikipedia, the free encyclopedia
In research of human subjects, a survey is a list of questions aimed for extracting specific data from a particular group of people. Surveys may be conducted by phone, mail, via the internet, and also in person in public spaces. Surveys are used to gather or gain knowledge in fields such as social research and demography.
Survey research is often used to assess thoughts, opinions and feelings.[1] 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. Survey research has also been employed in various medical and surgical fields to gather information about healthcare personnel’s practice patterns and professional attitudes toward various clinical problems and diseases. Healthcare professionals that may be enrolled in survey studies include physicians,[2][3] nurses,[4] and physical therapists[5] among others. A survey consists of a predetermined set of questions that is given to a sample.[1] 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. In addition to this, it is important to ensure that survey questions are not biased such as using suggestive words. This prevents inaccurate results in a survey.
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.[6] 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 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:
An opinion poll is a survey of public opinion from a particular sample. Opinion polls are usually designed to represent the opinions of a population by conducting a series of questions and then extrapolating generalities in ratio or within confidence intervals.
Medical or health-related survey research is particularly concerned with uncovering knowledge-practice gaps. That is to say to reveal any inconsistencies between the established international recommended guidelines and the real time medical practice regarding a certain disease or clinical problem. In other words, some medical surveys aim at exploring the difference between the proper practice and the actual practice reported by the healthcare professionals.[3][13][14] Medical survey research has also been used to collect information from the patients,[15] caregivers[16] and even the public[17][18] on relevant health issues. In turn the information gathered from survey results can be used to upgrade the professional performance of healthcare personnel including physicians, develop the quality of healthcare delivered to patients,[2][3] mend existing deficiencies of the healthcare delivery system and professional health education.[19][20] Furthermore, the results of survey research can inform the public health domain and help conduct health awareness campaigns in vulnerable populations[15] and guide healthcare policy-makers. This is especially true when survey research deals with a wide spread disease that constitutes a nationwide or global health challenge.
The use of novel human survey distribution methods has a significant impact on research outcomes. A study demonstrates the effectiveness of innovative strategies such as QR-coded posters and targeted email campaigns in boosting survey participation among healthcare professionals involved in antibiotics research. These hybrid approaches not only fulfill healthcare survey targets but also have broad potential across various research fields. Emphasizing collaborative, multidisciplinary methods, the study highlights the necessity for inventive tactics post-pandemic to enhance global public health efforts. By identifying discrepancies between recommended guidelines and actual clinical practices, these strategies are vital for enhancing healthcare delivery, influencing public health initiatives, and shaping policy to address major health challenges. This is particularly relevant in medical survey or health-related human survey research, which aims to uncover gaps in knowledge and practice, thereby improving professional performance, patient care quality, and addressing systemic healthcare deficiencies.[21]
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).
When two variables are related, or correlated, one can make predictions for these two variables.[1] However, 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 value of collected data completely depends upon how truthful respondents are in their answers on questionnaires.[1] 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.[1] 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,[22][23][24] 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.[25]
The Statistical Society of London pioneered the questionnaire in 1838. "Among the earliest acts of the Statistical Society of London ... was the appointment of committees to enquire into industrial and social conditions. One of these committees, in 1838, used the first written questionnaire of which I have any record. The committee-men prepared and printed a list of questions 'designed to elicit the complete and impartial history of strikes.'"[26]
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 age, ethnicity, and relationships within households.
Nielsen ratings (carried out since 1947) provide another example of public surveys in the United States. Nielsen rating track media-viewing habits (radio, television, internet, print) the results of which are used to make commissioning decisions. 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.
Following the invention of the telephone survey (used at least as early as the 1940s),[27] the development of the Internet in the late-20th century fostered online surveys and web surveys.
Seamless Wikipedia browsing. On steroids.
Every time you click a link to Wikipedia, Wiktionary or Wikiquote in your browser's search results, it will show the modern Wikiwand interface.
Wikiwand extension is a five stars, simple, with minimum permission required to keep your browsing private, safe and transparent.
