Sociological Research Methods Notes

Scientific Method

  • Defining the Problem: Identify issues needing explanation.

    • Compare groups (e.g. students vs non-students, different countries).

  • Reviewing Relevant Literature: Build a foundation of knowledge by summarizing existing research.

  • Forming the Hypothesis: Create a testable statement based on observations, defining the expected relationships.

  • Research Method Design: Select appropriate methods to collect data to test the hypothesis.

    • Examples: observations, interviews, surveys, experiments, secondary sources.

  • Data Collection: Gather data effectively to ensure hypothesis testing.

  • Data Analysis: Employ statistical, qualitative, or mixed methods to analyze the data collected.

  • Conclusions/Limitations: Evaluate how the research can be improved or what limitations exist in the study.

Ethics in Research

  • Ethics: Principles governing right and wrong conduct in research.
  • Standards: Adhere to TCPS (Tri-Council Policy Statement) guidelines, requiring ethics approval for research involving humans through a REB (Research Ethics Board).
Core Ethical Principles:
  1. Voluntary Participation: Individuals must participate freely.
  2. Informed Consent: Participants must be aware of risks and benefits.
  3. Confidentiality: Protect identities and responses of participants.
  4. Minimize Harm: Avoid exposing participants to unnecessary risks.
Notable Cases:
  • Tearoom Trade Study: Humphrey's observation study raised ethical issues due to lack of consent and potential harm.

Levels of Sociological Analysis

  • Phenomena: The subject of analysis in psychology, sociology, etc.
  • Levels of Analysis:
    • Micro: Individual interactions.
    • Meso: Group dynamics.
    • Macro: Larger societal trends.
Sociological Theory
  • A set of interrelated ideas aimed at understanding social complexities:
    • Paradigm: Worldview frameworks (e.g., positivism, interpretivism).
    • Theory: Collection of ideas explaining specific aspects.
    • Model: Simplified representation of complex phenomena.
Units of Analysis:
  • Individual, groups, organizations, nations.

Variables and Measurement

  • Measurement: Defining and quantifying traits.
    • Categories of Measurement:
    1. Conceptualization: Making a concept measurable.
    2. Variables: Measurable traits (can vary).
    3. Values: Finite attributes a variable can take.
Types of Variables:

  • Categorical Variables:

    • Nominal: No intrinsic order (e.g., types of dwelling).
    • Ordinal: Ordered categories (e.g., frequency of car washing).
    • Dichotomous: Two attributes only (e.g., yes/no).

  • Continuous Variables:

    • Interval: Equal spacing, no true zero (e.g., temperature).
    • Ratio: Equal spacing, true zero point (e.g., income).

Reliability vs Validity

  • Reliability: Consistency in measurement (same results under the same conditions).
  • Validity: Accuracy of what is being measured (is the measure truly reflective of the concept being studied?).
Causality [X to Y]
  • Must establish rationale, association, timing, and non-spuriousness to claim causation.

Survey Research

  • Definition: Collect data by asking questions to gather responses.
  • Distribution Methods:
    1. Mail Surveys
    2. Interviews (face-to-face)
    3. Telephone Surveys
    4. Online Surveys
Strengths and Weaknesses of Surveys:

  • Strengths:

    • Quick and easy to administer.
    • Can reach a large audience.
    • Good for quantitative analysis.

  • Weaknesses:

    • Response bias can occur.

Sampling Techniques

  • Sampling: Selecting a subset from a larger population.
  • Goals: Make generalizations without surveying everyone.
Types of Sampling:
  • Probability Sampling: Every individual has a known chance of selection (e.g., random sampling).
  • Non-Probability Sampling: Not all have an equal chance (e.g., convenience sampling).
    • Snowball Sampling: Participants refer others.

Experiments in Research

  • Definition: Test causal relationships systematically.
  • Key Elements:
    • Independent Variable (IV): Manipulated.
    • Dependent Variable (DV): Measured response.
Challenges to Validity:
  • Internal validity concerns regarding causation.
  • External validity regarding generalizability beyond controlled settings.

Qualitative Research

  • Definition: Non-numerical analysis focusing on understanding human behavior.
  • Common Methods:
    • Fieldwork
    • Interviews
    • Focus Groups
Data Analysis Techniques:
  1. Drawing conclusions from qualitative data.
  2. Systematic approaches to identify patterns.

Focus Groups & Ethnography

  • Focus Groups: Group discussions led by a moderator for rich insights on experiences.

    • Strengths: Gather in-depth information, capture dynamic social interactions.
    • Weaknesses: More complex to manage than surveys.

  • Ethnography: Study of cultures by immersive observation and interviewing to understand behaviors in context.

Participant Observation:
  • Researcher is involved in the setting while observing (continuum from complete observer to participant).

Field Research Conclusions

  • Field Research: In-depth understanding in natural settings combines observation, participation, and interviews to gather rich data.