Unit 2: Types of Research Flashcards
To explore cause and effect
Experiments
Strengths: Manipulate one or more factors, use random assignment
Weaknesses: Sometimes not feasible, results may generalize, not ethical to manipulate certain variables
Experiments
To detect naturally occurring relationships, to assess how well one variable predicts another.
Correlational Studies
Strengths: Collect data on two or more variables, no manipulation
Weaknesses: Cannot specify cause and effect
Correlational Studies
Participants answer a set of questions posed to them by a researcher - investigates characteristics, behaviors, opinions
Survey
Strengths: Able to take a “quick pulse” of people’s beliefs, behaviors, or opinions. Able to include many cases.
Weaknesses: Response bias, working effects can skew outcomes. Acquiring random samples is hard, cannot determine cause/effect.
Surveys
Observing subjects in their natural environment
Naturalistic Observations
Strengths: Subjects behave normally outside of a lab setting. Data collection is unobtrusive.
Weaknesses: Independent variable cannot be isolated. Cannot determine cause and effect, observations are subjective.
Naturalistic Observations
In-depth study of an individual or small group.
Case Studies
Strengths: Allows for examination of rare or unusual behavior. Provide a large amount of qualitative data.
Weaknesses: Results from 1 cannot generalize on a larger group. Cannot determine cause and effect, atypical cases are misleading.
Cause Studies
Study that follows the same group of people fro a set amount of time.
Longitudinal Studies
Strengths: Establishes correct sequence of events, identify change over time, provide inside into cause and effect relationships.
Weaknesses: Expensive, time consuming
Longitudinal Studies
Examines people of different groups at the same time, differ in a variable but share other characteristics.
Cross-sectional Studies
Strengths: Allows researchers to compare many different variables at the same time.
Weaknesses: Inability to determine cause and effect, potential for survey bias
Cross-sectional Studies