Week 9: Survey Research in Social Sciences

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112 Terms

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Respondent

A person who provides data by responding to a survey questionnaire.

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Questionnaire

An instrument designed to elicit information.

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Survey

A list of questions aimed for extracting specific data from a particular group of people.

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Closed-ended question

A question where answers are usually provided, and the respondent chooses from among available options.

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Open-ended question

A question that allows respondents to answer in their own words.

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Survey Data: Quantitative

Data collected from surveys that can be quantified and analyzed statistically.

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Survey Questionnaire

A highly structured list of questions and response categories that will be administered exactly to all respondents.

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Measurement validity

The accuracy of survey data depends in large part on issues related to whether you are measuring what you think you're measuring.

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Comprehensive

Provided answers (response categories) must ensure all individuals have a category.

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Mutually exclusive

Only one category per individual must be ensured in the provided answers.

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Homogeneous

Response categories must contain similar individuals.

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Concise questions

Questions should be focused and straightforward.

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Clear phrasing

Questions should avoid confusing terminology.

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Explicit questions

Questions should be direct and unambiguous.

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Neutral language

Questions should avoid politically or emotionally charged language.

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Double-barreled questions

Questions that ask two things at once and should be avoided.

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Guidelines for survey questions

1. Ask concise, focused questions; 2. Be simple and clear; 3. Be explicit; 4. Be neutral.

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Example of a closed-ended question

Is this work mainly - Mark [X] ONE box: □Manufacturing? □Wholesale trade? □Retail trade? □Other?

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Example of an open-ended question

What kind of work was this person doing? (For example: registered nurse, personnel manager, etc.)

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Survey Steps

Preparing the questionnaire is a major and crucial task when collecting primary survey data.

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Survey Measurement

The accuracy of survey data depends on measurement validity.

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Explicit frequencies

Specific time intervals used in surveys, such as 'once a week', instead of vague terms like 'regularly' or 'often'.

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Leading questions

Questions that suggest a particular answer or bias the respondent's response.

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Social desirability

The tendency of respondents to answer questions in a manner that will be viewed favorably by others.

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Question order effect

The impact that the sequence of questions has on respondents' answers.

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Item non-response

When respondents fail to answer specific questions in a survey.

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Survey measurement problems

Potential issues that can arise in the process of collecting data through surveys.

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Percentage of respondents

A statistical measure indicating the proportion of survey participants who provided a specific response.

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Gallup

A research-based company known for its public opinion polls.

<p>A research-based company known for its public opinion polls.</p>
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NORC

The National Opinion Research Center, known for conducting social research.

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General Social Survey (GSS)

A sociological survey used to collect data on demographic characteristics and attitudes of residents of the United States.

<p>A sociological survey used to collect data on demographic characteristics and attitudes of residents of the United States.</p>
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High school completion rate

The percentage of individuals who have completed high school within a specified time frame.

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Korean War survey questions

Questions designed to gauge public opinion on the United States' involvement in the Korean War.

<p>Questions designed to gauge public opinion on the United States' involvement in the Korean War.</p>
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Alcohol consumption questions

Survey questions aimed at assessing individuals' drinking habits over a specified period.

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Effect of question wording

How the phrasing of survey questions can influence the responses given by participants.

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Respondent grouping

The categorization of survey participants based on specific characteristics, such as gender.

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Residual effect

The lingering impact of a previous question on the response to a subsequent question.

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Pregnant woman abortion questions

Survey questions regarding opinions on the legality of abortion for pregnant women under various circumstances.

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Opposite sex partners

Refers to sexual partners of a different gender.

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Survey data

Information collected through questionnaires or interviews from respondents.

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Administrative data

Data collected through administrative records rather than through direct surveys.

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Closed population

A population where there is no migration in or out, affecting the dynamics of survey responses.

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Percent in favor

The proportion of respondents who express support for a particular issue or question.

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Interviewer effects

Interviewer effects occur when the answers respondents provide are affected by the characteristics of the person who is interviewing them.

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Probability sampling

The probability of selection into the sample is known for all members of the population.

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Non-probability sampling

Data from a non-probability sample cannot be used to make inferences about the larger population.

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Survey Sampling

Generally, survey samples are probability samples representative of populations.

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Sampling and Error

A large unbiased sample gives good information about the population.

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Census

Entire population.

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Selection Bias

Systematic error can happen because of selection bias, where some people are systematically not included in the sample.

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Coverage error

Some people are in the population and not on the list.

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Non-response

Not everyone in the sample answers the questions.

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Survey non-response

The number of individuals who completed the survey divided by the number of individuals selected for the sample.

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Response rate

The proportion (or percentage) of individuals selected into the sample who complete the survey.

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Survey Response Rate

An important measure of the quality of the survey; low response rates are problematic.

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Effect of question order

The order of questions can influence the responses given by participants.

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Effect of examples

The examples provided can affect the responses of interviewees.

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Data Collection for Surveys

When collecting primary survey data, a major and crucial task is sampling respondents and then checking and tracking the quality of the sample.

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Survey Sample Size Tradeoffs

LARGE sample size reduces random error; an UNBIASED or PROBABILITY sample eliminates systematic error.

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Generalizable

Data from a probability sample can be used to make inferences about the larger population.

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American Community Survey

A survey that collects data from 50,000 households per month.

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General Social Survey

A survey that provides local representativeness and flexibility.

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Current Population Survey

A survey that samples 3,000 households.

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Survey method

The survey method is tailored to extracting data from large numbers of people.

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Attitudes toward interracial marriage

An example of data collected that can be influenced by the race of the interviewer.

<p>An example of data collected that can be influenced by the race of the interviewer.</p>
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High Quality Surveys

Surveys that are representative of the same population and provide a standard for comparison.

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Population Generalization

The population you can generalize to is the population from the sampling frame.

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Subnational Samples

Samples of smaller populations that may not hold findings for national or regional populations.

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Data Processing Lag

Considerable delays in data processing and release may make data out-dated.

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Item Non-Response

When people choose not to answer a specific question in a survey.

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Impute Values

The process of guessing at a non-response answer or not using the person's whole survey.

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Systematic Differences

Differences between non-responders and those who answer every question that may affect results.

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Average Income for White Respondents

$51,000.

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Average Income for Black Respondents

$45,500.

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Example Respondent Data

A table showing race, gender, and income for various respondents.

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Consequences of Item Non-Response

If item non-response is a function of the variables in analyses, the consequences can be large.

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Orthogonal Item Non-Response

If item non-response is unrelated to the variables in analyses, the consequences are trivial.

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Ethical Issues in Surveys

Concerns that arise regarding the conduct and implications of survey research.

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Change Over Time

Populations change over time, affecting the relevance of survey findings.

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Survey of Maryland Residents

Findings from this survey do not hold for all of the US or North America.

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Latest Available Survey

Results from surveys collected in 2015 may no longer hold for 2021.

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Missing Data Concerns

Researchers spend time worrying about missing data due to its potential impact on results.

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Respondent Characteristics

Demographic details such as race, gender, and income of survey participants.

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Income Variability

Income levels can vary significantly among respondents of different races.

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Survey Sampling Frame

The source from which a sample is drawn for a survey.

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Data Out-Dated

Data may no longer be relevant due to changes in the population over time.

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Consequences of Non-Response

The implications of having missing responses in survey data.

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Informed consent

The process of obtaining permission from participants after disclosing who the researcher is and what they are doing.

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Confidentiality

The principle that ensures the privacy of participant data and results.

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Panel Study

A study that shows change over time in individuals by using the same sample.

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Longitudinal Study

Data collected at more than one point in time.

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Trend Study

Repeated cross-sectional surveys with different samples that show change over time in a population.

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Cross-sectional Study

Data collected at one point in time.

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Retrospective Study

Data collected at one point in time, but asks about times in the past.

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Indian National Family Health Survey

A survey of over 90,000 India households collected in four different times (waves): 1992-93, 1998-99, 2005-06, & 2014-15.

<p>A survey of over 90,000 India households collected in four different times (waves): 1992-93, 1998-99, 2005-06, &amp; 2014-15.</p>
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Primary Data

Data that you collect yourself.

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Secondary Data

Data collected by others.

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Secondary Survey Analysis

The analysis of surveys collected by one group but analyzed by many others.

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Example Survey: India Human Development Survey

A survey involving 41,554 households, 215,754 household members, and various assessments including health and education.

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Analytical Sample

The sample actually analyzed in a particular study, derived from the target population.