Examples Of Survey Research Papers
Survey Research and Questionnaires
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 of sampling. There are two key features of survey research:
- Questionnaires -- a predefined series of questions used to collect information from individuals
- Sampling -- a technique in which a subgroup of the population is selected to answer the survey questions; the information collected can be generalized to the entire population of interest
The two most common types of survey questions are closed-ended questions and open-ended questions.
- The respondents are given a list of predetermined responses from which to choose their answer
- The list of responses should include every possible response and the meaning of the responses should not overlap
- An example of a close-ended survey question would be, "Please rate how strongly you agree or disagree with the following statement: 'I feel good about my work on the job.' Do you strongly agree, somewhat agree, neither agree nor disagree, somewhat disagree, or strongly disagree?"
- A Likert scale, which is used in the example above, is a commonly used set of responses for closed-ended questions
- Closed-ended questions are usually preferred in survey research because of the ease of counting the frequency of each response
- Survey respondents are asked to answer each question in their own words
- Responses are usually categorized into a smaller list of responses that can be counted by the study team for statistical analysis
Considerations for Designing a Questionnaire
- It is important to consider the order in which questions are presented. Sensitive questions, such as questions about income, drug use, or sexual activity, should be put at the end of the survey. This allows the researcher to establish trust before asking questions that might embarrass respondents. Researchers also recommend putting routine questions, such as age, gender, and marital status, at the end of the questionnaire
- Double-barreled questions, which ask two questions in one, should never be used in a survey. An example of a double barreled question is, "Please rate how strongly you agree or disagree with the following statement: 'I feel good about my work on the job, and I get along well with others at work.'" This question is problematic because survey respondents are asked to give one response for two questions
- Researchers should avoid using emotionally loaded or biased words and phrases
Visit the following websites for more information about questionnaire design:
Glossary terms related to questionnaire design:
Surveys can be admininistered in three ways:
- Through the mail
- Advantage: Low cost
- Disadvantage: Low response rate
- By telephone
- Advantages: Higher response rates; responses can be gathered more quickly
- Disadvantage: More expensive than mail surveys
- Advantages: Highest response rates; better suited to collecting complex information
- Disadvantage: Very expensive
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Glossary terms related to survey administration:
One of the primary strengths of sampling is that accurate estimates of a population's characteristics can be obtained by surveying a small proportion of the population. 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: the entire population of interest could be selected for the survey, but only a few are chosen at random
- Researchers often use random-digit dialing to perform simple random sampling. In this procedure, telephone numbers are generated by a computer at random and called to identify individuals to participate in the survey
- 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. Instead, researchers will randomly select geographic areas (for example, counties), then randomly select households within these areas. This creates a cluster sample, in which respondents are clustered together geographically.
- 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. To ensure that there are enough Afrian-Americans in the survey, the researcher will first identify the African-Americans in the population and then randomly select a sample of African-Americans.
- 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
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Glossary terms related to sampling procedures:
Measurement error is the difference between the target population's characteristics and the measurement of these characteristics in a survey. There are two types of measurement error: systematic error and random 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 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.e., the mood of the respondent
For example, a researcher may administer a survey about marital happiness. However, some respondents may have had a fight with their spouse the evening prior to the survey, while other respondents' spouses may have cooked the respondent's favorite meal. The survey responses will be affected by the random day on which the respondents were chosen to participate in the study. With random error, the positive and negative influences on the survey measure balance out.
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Glossary terms related to measurement error:
Nonresponse Rate Bias
Ethics of Survey Research
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. To ensure confidentiality, researchers should not link respondents' identifiers to their survey responses when using data. Common identifiers include names, social security numbers, addresses, and telephone numbers.
Anonymity is an even stronger safeguard of respondent privacy. If a researcher assures anonymity, it means that the researcher is unable to link respondents' names to their surveys.
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Glossary terms related to ethics:
Advantages and Disadvantages of Survey Research
- 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.
- 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 exit page is the place to tell the participant the purpose of the survey. You may give references to related studies, or to the field in general. Again, put contact information on this page. Make sure you thank the participants for their time. Here is an example of what a survey introduction and exit page might look like.
Make sure your questions cover the topic you are assessing, and avoid the pitfalls discussed in the book and in class. You may find the survey peer review form useful in this regard. You will look at the other person’s questionnaire on the pre-review date.
|Citation of direct quote without page number||2%|
|Incorrect citation format|
Incorrect reference format (penalty depends on
Up to 8%
|Use of MLA format in reference|
|Incorrect page break|
These penalties are for each occurrence, so if you have three incorrect citations, you lose 15%. If you have two incorrect page breaks, you lose 4%.
Name your file in the form , where nnnn is your four-digit number, and upload it to Moodle. Also, upload the spreadsheet you used with SOFA statistics in order to calculate your results.