An interview includes two persons - the researcher as the interviewer, and the respondent as the interviewee. There are several survey methods that utilize interviews. These are the personal or face-to-face interview, the phone interview , and more recently, the online interview. The span of time needed to complete the survey brings us to the two different types of surveys: Collecting information from the respondents at a single period in time uses the cross-sectional type of survey.
Cross-sectional surveys usually utilize questionnaires to ask about a particular topic at one point in time. Sometimes, cross-sectional surveys are used to identify the relationship between two variables , as in a comparative study.
An example of this is administering a cross-sectional survey about the relationship of peer pressure and cigarette smoking among teenagers as of May When the researcher attempts to gather information over a period of time or from one point in time up to another, he is doing a longitudinal survey.
The aim of longitudinal surveys is to collect data and examine the changes in the data gathered. Longitudinal surveys are used in cohort studies , panel studies and trend studies.
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Highest response rates; better suited to collecting complex information Disadvantage: Very expensive Visit the following website for more information about survey administration: What is a Survey? Glossary terms related to survey administration: Four sampling techniques are described here: Simple Random Sampling Simple random sampling is the most basic form of sampling Every member of the population has an equal chance of being selected This sampling process is similar to a lottery: In this procedure, telephone numbers are generated by a computer at random and called to identify individuals to participate in the survey Cluster Sampling Cluster sampling is generally used when it is geographically impossible to undertake a simple random sample Cluster sampling requires that adjustments be made in statistical analyses For example, in a face-to-face interview, it is difficult and expensive to survey households across the nation.
Stratified Sampling Stratified samples are used when a researcher wants to ensure that there are enough respondents with certain characteristics in the sample The researcher first identifies the people in the population who have the desired characteristics, then randomly selects a sample of them Stratified sampling requires that adjustments be made in statistical analyses For example, a researcher may want to compare survey responses of African-Americans and Caucasians.
Nonrandom Sampling Common nonrandom sampling techniques include convenience sampling and snowball sampling Nonrandom samples cannot be generalized to the population of interest. Consequently, it is problematic to make inferences about the population In survey research, random, cluster, or stratified samples are preferable Visit the following websites for more information about sampling procedures: Systematic Error Systematic error is more serious than random error Occurs when the survey responses are systematically different from the target population responses For example, if a researcher only surveyed individuals who answered their phone between 9 and 5, Monday through Friday, the survey results would be biased toward individuals who are unemployed Sources of bias include Nonobservational error -- Individuals in the target population are systematically excluded from the sample, such as in the example above Observational error -- When respondents systematically answer surveys question incorrectly.
For example, surveys that ask respondents how much they weigh will probably underestimate the population's weight because respondents are likely to underreport their weight Random Error Random error is an expected part of survey research, and statistical techniques are designed to account for this sort of measurement error Occurs because of natural and uncontrollable variations in the survey process, i.
Visit the following website for more information about measurement error: Reducing Measurement Error Glossary terms related to measurement error: Informed Consent Respondents should give informed consent before participating in a survey. In order for respondents to give informed consent, The researcher must inform the respondents of the study's purpose, content, duration, and potential risks and benefits The researcher must inform the respondents that they do not have to answer all the survey questions The researcher must inform the resondents that they can stop participating in the study at any point Confidentiality and Anonymity It is absolutely imperative that researchers keep respondents' identities confidential.
Anonymity Anonymity is an even stronger safeguard of respondent privacy. Visit the following websites for more information about anonymity: Advantages Sample surveys are a cost-effective and efficient means of gathering information about a population Survey sampling makes it possible to accurately estimate the characteristics of a target population without interviewing all members of the population Survey sampling is particularly useful when the population of interest is very large or dispersed across a large geographic area.
Disadvantages Surveys do not allow researchers to develop an intimate understanding of individual circumstances or the local culture that may be the root cause of respondent behavior Respondents often will not share sensitive information in the survey format A growing problem in survey research is the widespread decline in response rates. The cooperation rate is the proportion of contacted numbers where someone gave initial consent to be interviewed.
The completion rate is the proportion of initially cooperating and eligible households where someone completed the interview. Nonresponse in telephone interview surveys can produce biases in survey-derived estimates. Survey participation tends to vary for different subgroups of the population, and these subgroups are likely to also vary on questions of substantive interest. To compensate for these known biases, the sample data are weighted for analysis. The landline sample is first weighted by household size to account for the fact that people in larger households have a lower probability of being selected.
In addition, the combined landline and cellphone sample is weighted to account for the fact that respondents with both a landline and cellphone have a greater probability of being included in the sample. The sample is then weighted using population parameters from the U. Census Bureau for adults 18 years of age or older.
The population parameters used for weighting are: These population parameters are compared with the sample characteristics to construct the weights. The final weights are derived using an iterative technique that simultaneously balances the distributions of all weighting parameters.
These are the standard demographics we ask on our telephone polls in order to weight and analyze the data. You can also access the version of these demographics that we use on Web surveys , as well as the Spanish phone and Spanish Web versions. Weighting cannot eliminate every source of nonresponse bias. Nonetheless, properly conducted public opinion polls have a good record in achieving unbiased samples. This topline provides the results from the current survey for each question, as well as results from previous surveys in which the same or similar questions were asked.
For discussion of the results in reports and commentaries, differences among groups are reported when we have determined that the relationship is statistically significant and therefore is unlikely to occur by chance.
Statistical tests of significance take into account the effect of weighting.
The essence of survey method can be explained as “questioning individuals on a topic or topics and then describing their responses”. In business studies survey method of primary data collection is used in order to test concepts, reflect attitude of people, establish the level of customer satisfaction, conduct segmentation research and a set of other purposes.
- Definition, Methods & Types This lesson explores the ways a researcher may employ the types of surveys used in research. We will also go over the strengths and weaknesses of each type of survey.
Survey Research Survey research is one of the most important areas of measurement in applied social research. The broad area of survey research encompasses any measurement procedures that involve asking questions of respondents. distinguish the survey tool from the survey research that it is designed to support. Survey Strengths Surveys are capable of obtaining information from large samples of the population.
Survey research is a commonly used method of collecting information about a population of interest. There are many different types of surveys, several ways to administer them, and many methods . Our survey methodology in detail Sampling The typical Pew Research Center national survey selects a random digit sample of both landline and cellphone numbers in .