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Princeton Review 21.1-21.2
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Research Methods
The process of conducting and evaluating scientific studies.
Population
The larger group researchers want to study.
Sample
A smaller group selected from the population.
Select the Population
First step in a research study where researchers choose participants.
Independent Variable (IV)
Variable manipulated by the researcher.
Dependent Variable (DV)
Variable measured by the researcher.
Operationalize the Independent and Dependent Variables
Clearly define how variables will be measured and studied.
Operational Definitions
Exact specification of what variables mean.
Why Are Operational Definitions Important?
They make variables measurable and reproducible.
Causal Relationship
When one variable causes changes in another variable.
A → B Relationship
Represents a causal relationship between variables.
Carefully Select Control and Experimental Groups
Researchers organize groups to compare treatment effects.
Control Group
Group that does not receive the treatment.
Experimental Group
Group that receives the treatment or manipulation.
Extraneous Variables
Variables other than the IV that may affect results.
Confounding Variables
Extraneous variables that unintentionally influence the dependent variable.
Why Are Confounding Variables Bad?
They make it difficult to determine true causation.
Homogeneous Groups
Groups made as similar as possible.
Why Use Homogeneous Groups?
To reduce confounding variables.
Double-Blind Study
Neither participants nor researchers know who receives the treatment.
Why Use Double-Blind Studies?
To reduce placebo effects and researcher bias.
Placebo Effect
Improvement caused by belief that treatment works.
Random Sampling
Selecting participants randomly from the population.
Purpose of Random Sampling
To obtain a representative sample.
Representative Sample
A sample that accurately reflects the population.
Random Assignment
Randomly placing participants into groups.
Purpose of Random Assignment
To reduce bias and evenly distribute confounding variables.
Measure the Results
Researchers collect and analyze data from the study.
Test the Hypotheses
Determine whether the prediction is supported.
Hypothesis
A testable prediction about relationships between variables.
Null Hypothesis
Assumes no causal relationship exists and results occurred by chance.
Significant Difference
Difference unlikely to have occurred by chance.
Statistical Significance
Results are unlikely due to random chance.
p-value
Probability that observed results occurred by chance.
p ≤ 0.05
Less than or equal to a 5% probability that results happened randomly.
Lower p-value
Indicates stronger evidence against the null hypothesis.
Reliability
Consistency and repeatability of results.
What Does Reliability Mean?
A study produces similar results repeatedly.
Threats to Reliability
Sampling Bias
When the sample does not accurately represent the population.
Attrition
Participants dropping out of a study.
Internal Validity
Confidence that the Independent Varibable caused changes in the Dependent Variable.
Why Is Internal Validity Important?
It determines whether true causation exists.
Threats to Internal Validity
Impression Management
Participants behave according to social expectations.
Demand Characteristics
Cues that influence participants to behave a certain way.
External Validity
Ability to generalize findings to the real world.
Why Is External Validity Important?
It determines whether results apply outside laboratory settings.
Threats to External Validity
Situational Effects
Artificial conditions that may influence participant behavior.
Statistical Power
Ability of a study to detect real effects.
Larger Sample Sizes
Increase statistical power and reliability.
Disclosure
Informing participants about the study and expectations.
Purpose of Disclosure
To ensure ethical participation and informed consent.
Debriefing
Explaining the true purpose of the study afterward.
Purpose of Debriefing
To clarify deception and explain the study fully.
Researcher Bias
When researchers unintentionally influence results.
Validity
Accuracy of a study and whether it measures what it intends to measure.
Reliability vs Validity
Reliability = consistency. Validity = accuracy.
Main Validity Types
Steps in a Research Study
Ways to Reduce Confounding Variables
Main Statistical Terms to Memorize
Null hypothesis = no relationship p-value = probability results occurred by chance Statistical significance = unlikely due to chance Statistical power = ability to detect real effects : Most Common Type of Research Design
Correlational Studies
Examine the relationship between two quantitative variables.
Positive Correlation
Two variables increase together.
Negative Correlation
One variable increases while the other decreases.
No Correlation
No direct relationship exists between variables.
Ethnographic Studies
Qualitative studies where researchers immerse themselves in cultures or groups they are studying.
Twin Studies
Studies comparing nature vs. nurture to measure heritability.
Longitudinal Studies
Studies that test how individuals develop over time.
Challenge of Longitudinal Studies
Attrition; they are difficult and expensive.
Case Studies
In-depth examination of one individual, group, or case.
Weakness of Case Studies
Difficult to analyze confounding variables and generalize findings.
Sociology
Study of society and social behavior.
Society
Collective social facts that shape individuals.
Social Facts
Laws, morals, values, customs, and rules that shape society.
Manifest Functions
Intended and recognized consequences of a social structure.
Latent Functions
Unintended or hidden consequences of a social structure.
Example of a Manifest Function
Hospitals treat sick people.
Example of a Latent Function
Hospitals create jobs, bring money into communities, and reduce unemployment.
Structural Functionalism
Theory that society consists of distinct but interrelated parts that maintain stability.
Durkheim
One of the founders of sociology associated with structural functionalism.
Main Idea of Structural Functionalism
Society works together to maintain health and stability.
Social Institutions
Organized structures within society that fulfill social needs.
Examples of Social Institutions
Family, education, religion, economy, and government.
Conflict Theory
Society is a competition for limited resources.
Main Idea of Conflict Theory
Inequality is inevitable because groups compete for power and resources.
Karl Marx
Founder of conflict theory and creator of socialist ideas.
Capitalism
Economic system that creates tension through class struggles over production and control.
Bourgeoisie
Upper class that owns and controls production.
Proletariat
Working class that sells labor.
Ludwig Gumplowicz
Believed conflict was caused by war, conquest, and ethnic group domination.
Max Weber
Agreed capitalism created inequality but believed conflict also involved political power, social status, and mobility.
Symbolic Interactionism
Theory focusing on everyday interactions and communication.
Main Focus of Symbolic Interactionism
Subjective meanings people attach to symbols and interactions.
Symbols
Objects, gestures, or words that carry shared meaning.
Meaning
Shared understanding people attach to symbols.
Dramaturgical Approach
Interactionist theory where people act like performers in everyday life.
Main Idea of the Dramaturgical Approach
People present different personalities depending on the environment.