Chapter 4

Lecture 4 – Research, Methods & Ethics I

Research Cycle
  • Formulate Question: Identify a clear and focused research question that guides the entire study.

  • Review Existing Literature: Conduct a thorough review of previous studies and theories to understand what is already known and identify gaps in knowledge.

  • Select Method: Choose appropriate research methods (e.g., surveys, experiments, interviews) based on the research question and theoretical framework.

  • Collect Data: Systematically gather information or observations using the selected method.

  • Analyze Data: Interpret and make sense of the collected data, often using statistical or qualitative analysis techniques.

  • Report Results: Communicate the findings of the research through papers, presentations, or publications, contributing to the body of knowledge.

Milgram Experiments

  • Stanley Milgram (1933-1984): A social psychology professor at Yale University, widely known for his controversial experiments on obedience to authority.

  • General Question: Milgram's initial broader interest stemmed from questioning the behavior of individuals like Adolf Eichmann during the Holocaust. He pondered if Eichmann and his accomplices shared a mutual intent behind the Holocaust's goals, or if their actions were primarily driven by obedience to authority.

    • Focus: This question led to exploring the presence of a mutual sense of morality among those involved in atrocities.

  • Milgram's Experiment Research Question: How willing are people to obey an authority figure who instructs them to perform acts that conflict with their personal conscience?

  • Sample Group: Participants were randomly selected from the general population to ensure a diverse and representative group, meaning that results could potentially be generalized to a broader population.

    • Note: "Sample Bias" occurs when a sample is not representative of the population, leading to skewed results. A "Random Sample" aims to avoid this bias by giving every individual an equal chance of selection.

  • Public Announcement for Participants:

    • Participants were recruited through newspaper ads for a study of memory and learning, deliberately concealing the true nature of the experiment.

    • Compensation: Participants were paid 4.004.00 for one hour of their time, plus 0.500.50 for carfare, which was a considerable sum at the time, given upon arrival to reduce the likelihood of participants feeling coerced to continue for payment.

    • Eligibility: Men ages 20−5020-50 from various occupations and education levels were sought, requiring no special training.

  • Milgram Experiment Settings:

    • "Teacher" = Subject: The actual participant, instructed to administer shocks.

    • "Learner" = Actor: A confederate (actor) who pretended to receive electric shocks.

    • Shock Apparatus: A shock generator with 3030 switches, labeled with voltage levels ranging from 1515 to 450450 volts.

    • Shocks were increased by increments of 1515 volts per wrong answer given by the 'learner'. While the shocks were simulated, the teachers believed they were real.

    • Shock labels included descriptive terms to emphasize perceived severity:

    • "slight shock"

    • "moderate shock"

    • "strong shock"

    • "very strong shock"

    • "intense shock"

    • "extreme intense shock"

    • "danger: severe shock"

    • "XXX" (450450 volts)

  • Example Lesson in Milgram Experiment:

    • The 'teacher' would read a list of word pairs (e.g., "Bird-Dog").

    • Later, the 'teacher' would read the first word of a pair (e.g., "Bird") and four options (e.g., "Cat-Mouse-Dog-Giraffe"). The 'learner' had to recall the last word of the original pair.

    • Incorrect answers resulted in the 'teacher' administering electric shocks, increasing by 1515 volts each time.

    • Responses at different voltage levels from the 'learner' (audio pre-recorded or via actor's shouts) included: e.g., 7575 volts = grunts, 150150 = complaints, 330330+ = silence, creating distress for the 'teacher'.

  • Role of Authority in Obedience:

    • Participants often continued to administer shocks because they did not feel personal responsibility for their actions, viewing themselves as merely following orders from the authority figure. This is known as acting in an "agentic state"—not as independent moral agents.

    • Authority Figures used a series of verbal prods to encourage participants to continue:

    • “Please continue”

    • “The experiment requires that you continue”

    • “It is absolutely essential that you continue”

    • “You have no other choice, you must go on.”

  • Variables in Milgram Experiment:

    • Independent Variable (Presumed Cause): The presence and commands of the authority figure.

    • Dependent Variable (Presumed Effect): The level of obedience exhibited by the participant, measured by the maximum shock voltage administered.

  • Hypothesis: Milgram initially hypothesized that only a small percentage (less than 1%) of subjects would administer the most serious shocks.

  • Data Collection: The observed results from 4040 subjects, carefully documented for their behavior and reactions.

  • Findings:

    • A surprising 2626 of 4040 subjects (6565%) administered the highest shock of 450450 volts, far exceeding Milgram's initial hypothesis.

    • Many participants exhibited significant signs of discomfort, stress, and moral anguish (e.g., sweating, trembling, nervous laughter) during the experiment, indicating a conflict between their conscience and the demands of authority.

  • Submissiveness Correlation: Higher submission rates were observed when:

    • The authority figure was physically present in the same room.

    • Participants believed they could deflect or pass on responsibility for their actions to the authority figure or the experiment itself.

    • The experiment appeared legitimate, often due to being conducted in an official academic setting (e.g., Yale University).

  • Analyzing Data (Conclusion):

    • Milgram concluded that the social environment and the perceived legitimacy of authority can powerfully legitimize and encourage extreme, even immoral, behaviors in otherwise normal individuals.

  • Ethical Issues: Milgram's experiment raised serious ethical concerns that led to significant changes in research guidelines.

    • Researchers must respect subjects' rights throughout the research cycle, including:

    • Right to Safety: Protecting participants from physical or psychological harm. Participants in Milgram's study experienced significant emotional distress.

    • Right to Privacy: Ensuring personal information collected during research is not publicly disclosed without consent.

    • Right to Confidentiality: Keeping participants' identities and data private.

    • Right to Informed Consent: Participants must be fully informed about the nature, risks, and benefits of the research before agreeing to participate. Milgram's study involved deception, as participants were not aware of the experiment's true purpose.

  • Replication of Experiment:

    • Video: "How Violent Are You?" (BBC2 Horizons, May 12, 2009) documented a modern replication of aspects of the Milgram experiment.

    • Result: Even with increased ethical scrutiny and awareness, a significant majority—only 33 of 1212 participants refused to continue until the end—indicated a persistent tendency towards obedience.

  • Reliability: Refers to the consistency of a measurement or research finding over time or across different researchers. A reliable study would yield similar results if repeated under the same conditions.

  • Conclusion from Findings:

    • Zygmunt Bauman, a sociologist, emphasized the significance of physical and auditory proximity in the act of cruelty. He argued that it is psychologically easier to harm someone at a distance, more challenging if they are physically present, and hardest if direct physical contact or touch is involved, as proximity heightens empathy and personal responsibility.

Lecture 5 – Research, Methods & Ethics II

Industrial Strife (Early 1900s)
  • Context: The early 1900s were marked by significant industrial unrest, with frequent strikes and labor disputes as workers sought better conditions and pay.

    • For example, the Seattle Union Record announced a strike involving 60,00060,000 workers, highlighting the scale of these industrial conflicts.

The Hawthorne Experiments (1924-1932)
  • A groundbreaking series of studies conducted by the Western Electric Company (AT&T) at its Hawthorne Works factory in Cicero, Illinois.

  • The experiments aimed to investigate how various factors, particularly working conditions, affected worker productivity.

1st Illumination Experiments (1924-1927)
  • Overview: This was a controlled experiment designed to test the hypothesis that changes in workplace lighting directly impact employee productivity.

  • Hypothesis: The initial belief was that an increase in illumination (lighting) would lead to an increase in productivity.

  • Result: Contrary to expectations, productivity increased not only when light intensity was increased but also when it was decreased. This suggested that the workers' positive reactions were due to psychological factors (e.g., feeling observed and cared for) rather than purely physiological responses to lighting levels.

Elton Mayo (1880-1949)
  • An Australian psychologist, sociologist, and organizational theorist who became a key figure in the human relations movement.

  • Critique of Management Theories: Mayo critiqued traditional scientific management theories (like Taylorism) for neglecting the crucial human element in workplaces, arguing that social and psychological factors were as important as physical conditions.

2nd Experiment - Relay Assembly Test Room (1927-1933)
  • Setup: A small, controlled workroom was set up with six women who assembled telephone relays.

  • Methodology: Researchers systematically introduced various changes in working conditions, such as altered rest periods, shorter workdays, and free lunches, over an extended period.

  • Findings from Relay Assembly Test Room: Regardless of the specific change, productivity consistently increased. This led to the conclusion that the increased output was correlated primarily with positive social dynamics, enhanced social significance (feeling important and singled out for study), and camaraderie among the workers, rather than the isolated physical changes themselves.

3rd Experiment - Bank Wiring Observation Room (1931-32)
  • Setup: 1212 male workers involved in wiring telephone switchboards were observed in a controlled setting. There was also one interviewer to gather qualitative data.

  • Hypothesis: The researchers expected that a group piecework incentive system would encourage team members to work together to increase their overall output and earnings.

  • Bank Wiring Observation Room Results:

    • Researchers found weak communication and a lack of trust between managers and employees.

    • Instead of maximizing output, internal coercion systems within the groups restricted production. Workers informally agreed on a "fair day's work" and used social pressure, peer policing, and even physical intimidation ("binging") to ensure no individual exceeded this unspoken quota, fearing that higher output would lead to management raising production targets or cutting piecework rates.

Conclusion
  • Hawthorne Effect: The most significant conclusion from these experiments was the identification of the Hawthorne Effect. This phenomenon describes how workers' productivity can be influenced simply by the awareness that they are being observed or studied, rather than by changes in their physical work conditions. The attention itself acts as a powerful motivator.

  • Critiques: Despite its impact, the human relations movement and the Hawthorne experiments were later critiqued for being overly simplistic, sometimes manipulating workers' emotions, and for underestimating the persistent role of economic incentives and structural factors in productivity.

Suggested Film on Hawthorne Experiments

  • Film: AT&T Archives: The Year They Discovered People (1515 minutes, 19731973) offers a historical perspective on the Hawthorne studies.

Learning Objectives

  • LO1: Understand the fundamental connection between sociological theory and the formulation of research questions.

  • LO2: Distinguish clearly between quantitative (numerical) and qualitative (descriptive) research approaches, and between inductive (data to theory) and deductive (theory to data) reasoning.

  • LO3: Understand the overall systematic process involved in conducting sociological research from start to finish.

  • LO4: Grasp essential concepts and terminology crucial for designing and conducting rigorous research, such as variables and hypotheses.

  • LO5: Distinguish among the main methods commonly used in sociological research, recognizing their strengths and limitations.

  • LO6: Link abstract sociological theories and specific research questions to the most appropriate individual research methods.

  • LO7: Recognize and address potential biases, such as sexism, in research design, data collection, and analysis to ensure inclusive and accurate findings.

  • LO8: Understand and apply the core principles of ethical research conduct to protect participants and ensure the integrity of the study.

Connecting Theory to Research Questions

  • Research in sociology is fundamentally driven by sociological theories that provide frameworks for understanding social phenomena and shape the critical questions researchers ask. Common examples include:

    • Functionalist Perspective: Interested in the roles, values, and norms that contribute to societal stability and promote social equilibrium. Research questions might focus on how institutions contribute to societal order.

    • Conflict Theory: Focused on power dynamics, social inequality, and struggles for resources among different groups within society. Research questions might examine how social class or race affects access to opportunities.

    • Symbolic Interactionism: Concerned with the meanings people attach to their social interactions, symbols, and face-to-face encounters. Research might explore how individuals construct meaning through their daily interactions.

    • Feminist Theory: Examines issues related to gender, power, and inequality, often focusing on the experiences of women and challenging patriarchal structures. Research questions could investigate gender disparities in the workplace.

    • Indigenous Theory: Focuses on Indigenous experiences, knowledge systems, and relationships within a holistic ethical framework, often emphasizing decolonization and self-determination. Research might explore community-based participatory approaches.

Systems of Reasoning

  • Quantitative Approaches: Involve the systematic collection and numerical analysis of data. This approach typically uses larger samples, aims for generalizability, and focuses on identifying statistical relationships and patterns (e.g., surveys, experiments).

  • Qualitative Approaches: Focus on rich, in-depth detail and understanding, often using smaller, non-random samples. Methods involve exploring experiences, meanings, and perspectives through non-numerical data like interviews, observations, and textual analysis.

  • Inductive Logic: Moves from specific observations or data to broader generalizations and the development of new theories. Often used in qualitative research where themes and patterns emerge from the data (e.g., observing specific behaviors to formulate a general theory about human interaction).

  • Deductive Logic: Starts with a general theory or hypothesis and then tests it with specific data. This is common in quantitative research where hypotheses are formulated from existing theories and then empirically tested (e.g., hypothesizing a link between education and income, then testing it with survey data).

Overall Research Process

  • The research process is a structured sequence of steps:

    • Identifying area of interest: Pinpointing broad topics that warrant investigation.

    • Conducting a literature review: Examining existing studies to understand the current state of knowledge and identify research gaps.

    • Refining research question: Narrowing down the area of interest into a specific, answerable question.

    • Designing study: Planning the methodology, including choice of research methods and data collection instruments.

    • Choosing sample methods for data compilation: Deciding how to select participants or data sources.

    • Data collection: Systematically gathering information.

    • Analysis: Interpreting the collected data.

    • Dissemination: Sharing the research findings with the academic community and broader public.

Essential Research Concepts

  • Hypotheses: Empirical, testable statements about the relationship between two or more variables, often formulated as potential causal links that can be proven or disproven (e.g., "Increased social media use leads to decreased academic performance").

  • Independent and Dependent Variables:

    • Independent Variable (IV): The variable that is manipulated or changed by the researcher, or that naturally varies and is presumed to be the cause. (e.g., in a study on plant growth, the amount of water).

    • Dependent Variable (DV): The variable that is measured and observed for change, presumed to be the effect. Its outcome depends on changes to the independent variable. (e.g., the height of the plant).

  • Validity and Reliability:

    • Validity: Refers to the accuracy of a measurement or research conclusion—does it truly measure what it's intended to measure? (e.g., a test is valid if it accurately assesses knowledge in its subject).

    • Reliability: Refers to the consistency of a measurement over time or across different observers; a reliable measure will produce the same results under consistent conditions (e.g., a scale is reliable if it gives the same weight each time).

  • Correlation and Causality:

    • Correlation: Indicates a relationship or association between two variables, where they tend to move together (e.g., ice cream sales and drowning incidents might both increase in summer).

    • Causality: Implies that one variable directly causes a change in another ("Correlation does not imply causation"). Establishing causality requires rigorous experimental control to rule out alternative explanations.

Research Methods

  • Surveys: Involve collecting data from a large number of individuals through questionnaires (online, mail, or in-person) to capture behaviors, opinions, and attitudes. Suited for quantitative analysis and studying large populations.

  • Interviews: Face-to-face (or virtual) data gathering method allowing for in-depth exploration of participants' perspectives and experiences. Provide rich qualitative depth.

    • Subtypes:

    • Unstructured: Flexible, conversational approach with no fixed questions, allowing for emergent topics.

    • Semi-structured: Uses a guide of open-ended questions but allows for flexibility to explore new ideas that arise.

    • Structured: Relies on a fixed set of questions, similar to a verbal questionnaire, to ensure consistency across participants.

  • Participant Observation: The researcher immerses themselves in the group or community being studied, participating in their daily life to gain an insider's perspective and deep understanding of their culture, behaviors, and social dynamics.

  • Content Analysis: A systematic method for analyzing texts, media (e.g., books, articles, films, social media posts), or other forms of communication to identify patterns, themes, or biases present within the content.

  • Secondary Analysis: Involves using previously collected data (e.g., government census data, existing surveys, historical documents) for new research questions, without collecting primary data oneself. It is cost-effective and can offer access to longitudinal data.

  • Participatory Action Research (PAR): An approach where community members are actively engaged as co-researchers in defining, researching, and solving issues that affect their own communities. Emphasizes collaboration, social change, and empowerment.

Ethical Considerations

  • A cornerstone of responsible research, ethical principles, include:

    • Informed consent: Ensuring participants understand the study and voluntarily agree to participate.

    • Confidentiality and Anonymity: Protecting participants' identities and personal information from disclosure.

    • Avoiding harm: Taking measures to prevent physical, psychological, social, or emotional distress to participants.

  • Researchers must also actively address and mitigate sexism and other biases in research design, including sampling, question formulation, and interpretation of results, to ensure inclusive understanding and equitable representation.

Summary

  • This section reiterates the crucial links between sociological theory, the selection and application of appropriate research methods, and the overarching importance of ethical responsibility in all stages of the research process, highlighting how these elements combine to produce valid and reliable knowledge about the social world.

Review Questions

  • Compare and contrast surveys