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Theory
Well-developed set of ideas that propose an explanation for observed phenomena
Hypothesis
Tentative and testable statement (prediction) about the relationship between two or more variables
Predicts how the world will behave if the theory is correct
Usually and “if-then” statement
Is falsifiable (capable of being shown to be incorrect)
Deductive Reasoning
Conclusions are drawn based on a general premise
Based on logical analysis
All things require energy to survive (premise)
Ducks are living things (premise)
Therefore, ducks require energy to survive (Conclusion)
Inductive Reasoning
Conclusions are drawn from observations
Based on empirical observations
You notice you sneeze whenever you are around cats (Observation)
Therefore, you assume you are allergic to cats (Conclusion)
Case Studies
Focus on one individual
Extreme or unique psychological circumstances
Pro: Allows for in-depth exploration of the case
Con: Difficult to generalize to the larger population
Naturalistic Observation
Observation of behavior in its actual setting
Eliminates feelings of performance anxiety
Allows researchers to study genuine behaviors
Observer Bias
Observations may be skewed to align with observer expectations
Establishment of clear criteria to observe helps eliminate observer bias
Survey
A list of questions
Can be delivered in a variety of ways
Paper and pencil
Electronically
Verbally
Surveys gather huge amounts of data from a large population
Archival Research
Uses past records or databases
Pro: Data are already obtained (less money/time required)
Con: Can’t change what information is available
Cross-Sectional Research
Comparing multiple groups at a single point in time
Longitudinal Research
Multiple measurement from the same group of individuals over time
Risks attrition
Attrition
Subjects dropping out of a study over time
Correlation
Relationship between two or more variables
When one variable changes alongside another
Correlation Coefficient
Represented by r
Indicates the strength and direction of the correlation
Number from -1 to 1
Positive Correlation
Two variable change in the same direction
If one gets larger, so does the other
Negative Correlation
Two variables change in different directions
If one gets larger, the other gets smaller
NOT the same as no correlation
Scatterplots
A graphical view of the strength and direction of correlations
Cause-and-effect Relationship
Changes in one variable cause changes in the other
Can be determined only via an experimental research design
Confounding Variable
Outside factor that affects both variables of interest
Gives the impression that changes in one variable cause changes in the other
Experimental Group
The participants that experience the manipulated variable
Control Group
Participants that do not experience the manipulated variable
Serve as a basis for comparison and controls for chance factors that might influence the results of the study
Experimenter Bias
Researchers’ expectations skew the results
Participant Bias
Participants’ expectations skew the results
Ex. Placebo effect
Single-blind
Participants do not know what group they’re in
Double-blind
Participants AND researchers who directly interact with the participants do not know who is in which group
Independent Variable
Something researchers may directly control in an experiment
Dependent Variable
Something you measure in a subject that may be influenced by the independent variable
Random Sampling
The “gold standard” in experiments
Ensures representation and prevents bias
Reliable
A ____ study is consistent over time and across situations/raters
Valid
A ______ study is measuring what it truly intends to measure
Institutional Review Boards (IRBs)
For human subject research
Check for informed consent
Voluntary (not coerced) agreement to participate after knowing what they will do, the risks, the benefits, implications, and assurance of confidentiality
Check for risks vs benefits to participant
Institutional Animal Care and Use Committee (IACUC)
For animal subject research
Check for humane treatment of animals