Sociological Research Methods: Surveys and Field Research

Surveys

  • Social researchers design studies by selecting from widely used data-collection methods or by analyzing existing sources; planning the research design is a key step in any sociological study.
  • Primary source data collection methods include:
    • survey
    • participant observation
    • ethnography
    • case study
    • unobtrusive observations
    • experiment
  • Secondary data analysis uses existing sources.
  • Every research method has plusses and minuses; topic of study influences method choice.
  • Researchers should think of themselves as architects and their research design as a blueprint.
  • Entry into social environments involves ethical considerations: anonymity vs overt presence; some situations require informing participants, others require keeping participants unaware; some contexts (e.g., prisons, Klan meetings, early education) make unobtrusive observation impractical or unsafe.
  • Researchers choose methods that best fit the topic, protect participants, and align with their overall research approach.
  • Field realities may limit invisibility of the researcher; some settings require overt presence or other methods.

Surveys

  • Definition: A survey collects data from subjects who respond to a series of questions about behaviors and opinions, often via a questionnaire or interview.
  • It is one of the most widely used scientific research methods.
  • Large-scale example: The 2020 U.S. Census is a large-scale survey intended to gather sociological data.
  • Historical context: Since 1790, the U.S. government has conducted a survey with six questions to collect demographic data; currently, the Census is conducted in the United States and five territories and consists of 12 questions.
  • Not all surveys are sociological research; many surveys focus on marketing needs or strategies rather than testing a hypothesis or contributing to social science knowledge. Examples of non-sociological questions include:
    • "How many hot dogs do you eat in a month?"
    • "Were the staff helpful?"
  • Not all polls are generalizable: e.g., Nielsen Ratings measure popularity of TV programming, but polls by specific TV programs (e.g., American Idol) are administered to an unrepresentative population (the show’s audience) and cannot be generalized.
  • Sociologists conduct surveys under controlled conditions for specific purposes.
  • Surveys gather different types of information and can track:
    • preferences for presidential candidates
    • reported behaviors (e.g., sleeping, driving, texting)
    • demographic variables (e.g., employment status, income, education levels)
  • Target population vs. sample:
    • Population: the focus of the study (e.g., college athletes, international students, teenagers living with type 1 diabetes).
    • Sample: a manageable number of subjects chosen to represent the larger population.
    • Representativeness of the sample determines study success.
  • Random sampling: Every person in the population has the same chance of being chosen.
  • Probability of selection in a simple random sample: p = rac{n}{N} where
    • nn = sample size,
    • NN = population size.
  • Process after selecting subjects:
    • Researchers inform subjects of the nature and purpose of the survey up front.
    • If they agree to participate, researchers thank them and may offer access to the study results.
    • Researchers provide an instrument to gather information; a common instrument is a questionnaire.
  • Question formats:
    • Closed-ended questions (yes-no, multiple-choice) yield quantitative data.
    • Open-ended questions require short essay responses and yield qualitative data.
  • Data collected:
    • Quantitative data: data in numerical form that can be counted and statistically analyzed. Examples include tallying how many “yes” vs “no” responses and converting to percentages.
    • Qualitative data: data expressed as words and descriptions; more subjective and harder to organize, but rich in-depth material.
  • Mixed data outcomes: Surveys can yield both quantitative and qualitative data (e.g., demographics plus reasons for educational choices).
  • Interview as a survey method: A one-on-one conversation allowing clarification, deeper exploration, and flexibility beyond predetermined response options; aims to avoid steering or prompting responses and to build trust.
  • Anonymity and honesty: Anonymous responses can increase honesty for sensitive topics (e.g., personal beliefs, political views).
  • Data collection modes: The survey can be carried out online, over the phone, by mail, or face-to-face.
  • Field research context: When data are collected outside a laboratory, library, or workplace, researchers are conducting field research, which is covered in the next section.

Field Research (Natural Environment)

  • Field research involves gathering primary data from a natural environment, requiring researchers to enter new settings and observe, participate, or experience those worlds.
  • In field work, researchers are the ones operating outside their usual environment; they interact with or observe people in their natural settings.
  • Examples of settings: coffee shops, tribal villages, homeless shelters, the DMV, hospitals, airports, malls, beaches, resorts.
  • Purpose: To observe specific behaviors within a setting and to understand why people behave that way in real environments.
  • Limitations: It can be difficult to isolate cause and effect in natural settings because many variables are present simultaneously.
  • Relationship to data interpretation:
    • Field research often identifies correlations rather than causal relationships, due to the complexity of natural environments.
    • The data gathered in sociology frequently indicate correlations rather than definitive causation.
  • Key takeaway: Field research emphasizes context and behavior in real-life environments, trade-offs include less control and reduced ability to make causal inferences.

Ethical and Methodological Considerations (implied throughout)

  • Protecting participants and ensuring their safety and privacy.
  • Choosing the method that best fits the topic while maintaining ethical standards.
  • Balancing anonymity with the need for informed consent and transparency when appropriate.
  • Avoiding deception or prompting that could bias results or undermine reliability.

Connections and Real-World Relevance

  • Surveys are foundational for understanding how people think, feel, and act, and for tracking trends over time.
  • Survey design (question type, sample representativeness, mode of administration) critically affects the validity and generalizability of findings.
  • Field research complements surveys by capturing behaviors and contexts that surveys may not reveal, though it introduces challenges in establishing causality.
  • Real-world data sources (e.g., census data, Nielsen ratings) illustrate how measurement choices influence what conclusions can be drawn and how results generalize to broader populations.
  • Throughout, the emphasis is on researchers designing a blueprint (the research design) that aligns data collection methods with the study’s aims, ethical constraints, and the realities of the setting.

Key Terms (glossary)

  • Population: the entire group about which the researcher wants to draw conclusions.
  • Sample: a manageable subset of the population used to represent the population.
  • Random sample: a sample in which every member of the population has an equal chance of being selected.
  • Instrument: a tool used to gather information (commonly a questionnaire).
  • Questionnaire: a form containing questions for respondents to answer.
  • Closed-ended questions: questions with predetermined response options (e.g., yes/no, multiple choice).
  • Open-ended questions: questions allowing free-text responses.
  • Quantitative data: numerical data that can be counted and statistically analyzed.
  • Qualitative data: descriptive data expressed in words, narratives, or observations.
  • Field research: research conducted outside the laboratory in the subject’s natural environment, emphasizing observation and participation.
  • Correlation vs. causation: correlation indicates a relationship between variables; causation implies that one variable causes changes in another.
  • Informed consent: ethical obligation to inform participants about the study and obtain their voluntary agreement to participate.
  • Anonymity: ensuring participants’ identities remain unknown to researchers and others.
  • Leading questions: questions that steer respondents toward a particular answer; should be avoided to maintain reliability.