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Effect of Confederates on Compliance (Example 7) A study was done to see whether participants would ignore a sign that read, "Elevator may stick between floors. Use the stairs." The people who used the stairs were classified as compliant, those who used the elevator as noncompliant. The study was done in a university dorm on the ground floor of a building that had three floors. There were three different situations, two of which involved a person who was secretly working with the experimenter. (This person is called a confederate.) In the first situation, there was no other person using the stairs or elevator - that is, no confederate. In the second, there was a compliant confederate (one who used the stairs). In the third, there was a noncompliant confederate (one who used the elevator). Suppose that the participants (people who arrived to use the elevator at the time the experiment was going on) were randomly assigned to the three groups. There were significant differences between groups. a. Can we generalize widely to a large group? Why or why not? b. Can we infer causality? Why or why not?

Step by step solution

01

Understanding the Scenario

Firstly, understand the setup of the experiment and the three situations that are created: one with no other person present, one with a compliant confederate, and one with a non-compliant confederate. In all cases, the responses of the participants to the sign are noted and classified as either compliant or non-compliant.

02

Generalization to a larger group

Generalizing findings from a small group to a larger population requires that the smaller group be a representative sample of the larger population. In this experiment, since participants are from a university dorm and are randomly assigned to each situation, the experiment may fairly represent the behaviors of university students, but not necessarily wider populations. For instance, age, education level, and other demographic factors may limit the extent to which these findings are applicable to broader groups.

03

Inferring Causality

To infer causality, it is necessary to show both that changes in the exposure (presence of a confederate) led to changes in the outcome (compliance with the sign) and also to rule out other potential explanations for this association. In this scenario, the behavior of the confederate could be seen as a cause of the participants’ response. However, other factors could also influence the participants' behavior, such as personal beliefs, peer pressure, etc. So based on the details provided in this experiment, it is hard to clearly infer causality.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Confederate in Experiments

A confederate in an experiment is someone who is part of the research team but acts as if they are just another participant. This strategy is used to subtly influence the real participants without them knowing that these influences are orchestrated by the researchers. In the context of the elevator experiment, confederates were used to see if behaviors could be swayed by others' actions. For example, a confederate who uses the stairs is labeled compliant, potentially encouraging real participants to do the same. Meanwhile, a noncompliant confederate who uses the elevator might sway participants to ignore the warning and follow suit. The presence of confederates is crucial in social experiments because it helps understand how social influence works. By simulating normal behavior in controlled conditions, researchers gather insights into how peer actions can change someone's decision-making process.

• Confederates create a social scenario for participants that may impact their choice.
• Their actions can highlight the impact of direct social influences in a structured setting.

This approach helps to uncover the subtle nuances of human decision-making influenced by observed behaviors.

Causality in Social Research

Inferring causality in social research is one of the main objectives but also one of the trickiest tasks. Researchers aim to understand if a particular variable directly affects an outcome. In the elevator experiment, researchers wanted to see if the presence of a confederate affected whether participants would take the stairs or the elevator. To prove causality, it typically requires: - A clear cause and effect relationship - Elimination of alternative explanations The experiment suggests confederates might impact compliance, but causality is difficult to establish definitively. This is because:

• Other variables (e.g., participant's personality, cultural background) might influence behavior.
• The setting, a university dorm, is specific, and results might be different in another environment.

Causality must be supported by additional trials and controlled settings to rule out external factors and ensure a robust cause-effect relationship.

Generalization in Studies

Generalization refers to applying the results from a research study broadly to larger populations. This is often challenging, particularly in experiments like the elevator study where the setting is very specific. In this case: - Participants were drawn from a specific group (university students living in a dorm). - Their behaviors might not represent individuals outside of this context. As a result, while these findings possibly represent how university students react to social influences, they do not necessarily apply to other groups, such as older adults or people from different cultures.

• Ensuring a diverse sample can help increase generalizability.
• Random assignment is beneficial but doesn't guarantee broader applicability.

Hence, researchers must be cautious before generalizing results to broader populations and possibly conduct additional studies across wider demographics for valid conclusions.