Chapter Two: Research in Abnormal Psychology
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- Research in abnormal psychology is especially important: a wrong belief in the field leads to suffering
- Schizophrenia: severe disorder that causes people to lose contact with reality
- Lobotomies were believed to cure schizophrenia, but this was false
- Wasn’t disproven until tens of thousands of people had been lobotomized
- Caused irreversible brain damage that left patients withdrawn
What Do Clinical Researchers Do?
- Clinical Researchers / Clinical Scientists try to discover universal laws / principles of abnormal psychological functioning using the scientific method
- Clinical Practitioners assess, diagnose, and treat individual clients
- seek an individualistic understanding of abnormal behavior
- Clinical Researchers use three methods of investigation to form hypotheses
- Case Study: focused on one individual
- Correlational and experimental methods
- Observe many individuals
- Apply procedures uniformly (allows for replication)
- Use statistical tests to analyze results
The Case Study
- A detailed description of a person’s life and psychological problems
How Are Case Studies Helpful?
- Can be a source of new ideas about behavior
- Can challenge a theory’s assumptions
- Can show the value of new therapeutic techniques
- Can offer opportunities to study unusual problems
What Are the Limitations of Case Studies?
- Reported by biased observers
- Rely on subjective evidence
- Low internal and external validity scores
- Little basis for generalization
The Correlational Method
- Correlation: the degree to which events / characteristics vary with each other
- Correlational Method: research procedure used to determine correlation between variables
- Subjects / Participants: people chosen for a study
- Sample: collective name for participants in a sample
- Must be representative of the larger population
Describing a Correlation
- Line of best fit
- Positive Direction: when variables change the same way. shows positive correlation
- Negative Direction: when variables change in different ways. shows negative correlation
- Unrelated variables: there is no consistent relationship between variables and no slope
- Magnitude: How closely do the two variables correspond?
- The closer the data points are to the line of best fit, the greater the magnitude between the variables
- Correlation Coefficient
- Positive / negative sign of the coefficient signifies direction
- The number represents its magnitude - the closer it is to zero, the lower the relationship the variables have
When Can Correlations Be Trusted?
- p < .05: Findings are statistically significant and are thought to reflect the larger population
- The larger the magnitude of the correlation and the bigger the sample ➝ the more likely it is that a correlation will be statistically significant
What Are the Merits of the Correlational Method?
- High external validity
- Lack internal validity - describes the relationship between two variables, but doesn’t explain it
- Variables can be correlated for any reason
- Correlation doesn’t equal causation
The Experimental Method
- Experiment: research procedure in which a variable is manipulated and the manipulation’s effect on another variable is observed
- Independent variable
- Dependent variable
- Confounding variable
- To guard against confounding variables, researchers should include a control group, random assignment, and a masked design
- ex: bias
- Control Group: A group of research participants who are not exposed to the independent variable under investigation
- Experimental Group: The participants who are exposed to the independent variable
- Statistical Significance: Indicates whether a participant’s improvement in functioning occurred because of treatment
- Clinical Significance: Indicates whether the amount of improvement is meaningful in the person’s life
Random Assignment
Masked / Blind Design
- Avoids bias in experiments
- Individuals are kept unaware of their assigned group
- Double-Masked Design: Prevents against both patient bias and experimenter bias
- Triple-Masked Design: Experimenters arrange for judges to assess and analyze the outcomes, and the judges are also kept unaware of group assignments
Alternative Research Designs
- aka Mixed Designs / Quasi-experimental Designs
- Designs that intermix elements of both correlational and experimental studies
Matched Designs
Researchers match the experimental participants with control participants who are similar in age, sex, socioeconomic status, etc.
Make use of groups that already exist in the world (ex: effects of abuse on children. splits children into groups of abused and not abused)
Violates the rule of random assignment
Matched design minimizes confounding variables caused by not using random assignment
Natural Experiments
Nature itself manipulates the independent variable while the experimenter observes the effects
Used for studying the psychological effects of natural disasters and other unpredictable events (floods, plane crashes, fires, etc)
Analogue Experiments
Experimenters induce lab participants to behave in ways that seem to resemble real-life abnormal behavior
Investigators can manipulate independent variables freely while avoiding ethical and practical limitations of clinical research
Often use animals as participants
Single-Subject Experiments
A single participant is observed both before and after the manipulation of an independent variable
Rely on baseline data (information gathered before any manipulations) that can be compared to data gathered after the manipulation of an independent variable
Longitudinal Studies
- Researchers observe the same individuals on many occasions over a long period of time
Epidemiological Studies
Determine the incidence and prevalence of a problem in a particular population
Incidence: Number of new cases that emerge in a population during a given period of time
Prevalence: Total number of cases in the population during a given period
- Includes both existing and new cases
Help researchers identify groups at risk for particular disorders
Cannot confirm causation alone
Protecting Human Participants
- Institutional Review Boards: Committees of five or more members who review and monitor every study conducted at a research facility, starting at proposal
- Rules:
- Participants enlist voluntarily
- Before enlisting, the participants are given informed consent
- The participants can end their participation at any time
- The benefits of the study outweigh its risks
- Participants are protected from physical and psychological harm
- Participants have access to info about the study
- Participants have protected privacy
- IRBs are flawed: Ethical principles can’t always be broken down into simple guidelines
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