Ch9: SURVEY RESEARCH: AN OVERVIEW Flashcards
Survey - An Intoduction
The purpose of survey research is to collect primary data—data gathered and assembled specifically for the project at hand.
Respondents:
People who verbally answer an interviewer’s questions or provide answers to written questions.
Sample survey:
A more formal term for a survey
Advantages of Survey
1-3
- High Representativeness - Large population
- Low Costs - pay for the production of survey questionnaires
- Convenient Data Gathering - can simply be sent via e-mail or fax, or can be administered through the Internet
Advantages of Survey
4-6
- Good Statistical Significance - Multiple variables can also be effectively analyzed
- Little or No Observer Subjectivity - researcher’s own biases are eliminated
- Precise Results - As questions in the survey should undergo careful scrutiny and standardization, they provide uniform definitions to all the subjects who are to answer the questionnaires. Thus, there is a greater precision in terms of measuring the data gathered.
List Main Two Error in survey research
- Random Sampling Error
a. Respondent error
i. Non response error
ii. Response bias
ii(a) Deliberate falsification
ii(b) Unconscious misrepresentation - Systematic error (bias)
a. Administrative error
i. Data processing error
ii. Sample selection error
iii. Interviewer error
iv. Interviewer cheating
List Random Sampling Error
a. Respondent error
i. Non response error
ii. Response bias
ii(a) Deliberate falsification
ii(b) Unconscious misrepresentation
List Systematic error (bias)
a. Administrative error
i. Data processing error
ii. Sample selection error
iii. Interviewer error
iv. Interviewer cheating
List Types of Response Bias
- Acquiescence Bias
- Extremity Bias
- Interviewer Bias
- Social Desirability Bias
Random Sampling Error
A statistical fluctuation that occurs because of chance variation in the elements selected for a sample.
Even with technically proper random probability samples, however, statistical errors will occur because of chance variation in the elements selected for the sample.
Systematic Error
Error resulting from some imperfect aspect of the research design that causes respondent error or from a mistake in the execution of the research.
Systematic Error
Sample Bias
A persistent tendency for the results of a sample to deviate in one direction from the true value of the population parameter.
Respondent Error
Surveys ask people for answers. If people cooperate and give truthful answers, a survey will likely accomplish its goal. If these conditions are not met, nonresponse error or response bias, the two major categories of respondent error, may cause sample bias.
NONRESPONSE ERROR
The statistical differences between a survey that includes only those who responded and a perfect survey that would also include those who failed to respond.
Few surveys have 100 percent response rates. In fact, surveys with relatively low response rates may still accurately reflect the population of interest. However, a researcher who obtains a 1 percent response to a five-page e-mail questionnaire concerning various brands of spark plugs may face a
RESPONSE BIAS
A response bias occurs when respondents tend to answer questions with a certain slant. People may consciously or unconsciously misrepresent the truth.
Deliberate Falsification
Occasionally people deliberately give false answers. It is difficult to assess why people knowingly misrepresent answers. A response bias may occur when people misrepresent answers to appear intelligent, conceal personal information, avoid embarrassment, and so on. For example, respondents may be able to remember the total amount of money spent grocery shopping, but they may forget the exact prices of individual items that they purchased.
Unconscious Misrepresentation
Even when a respondent is consciously trying to be truthful and cooperative, response bias can arise from the question format, the question content, or some other stimulus. For example, bias can be introduced by the situation in which the survey is administered.