Overview
This lecture covers research methods in psychology, including descriptive, correlational, and experimental methods, as well as key design considerations and ethical guidelines.
Descriptive Methods
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Descriptive methods include naturalistic observation, case studies, and surveys.
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Demand characteristics (observer effect) mean people may change behavior when watched.
Observer bias occurs when researchers' expectations influence observations.
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Single-blind studies hide observation from subjects; double-blind studies hide it from both subjects and researchers.
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Case studies involve in-depth analysis of unique individuals (e.g., patient HM with hippocampus removal).
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Case studies can highlight important insights but may not generalize to the population.
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Surveys collect large amounts of data quickly and cheaply, requiring representative, randomly-selected samples.
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Poorly designed survey questions (e.g., double-barreled, leading, non-specific, overlapping categories) can reduce data quality.
Correlational Methods
- Correlation measures how two naturally occurring variables relate, allowing for predictions.
- Positive correlation: both variables increase or decrease together; negative correlation: one increases as the other decreases.
- Correlations are depicted with scatter plots and measured using the correlation coefficient (ranges from -1 to +1).
- Correlation does not imply causation due to the possible influence of a third variable.
- Example: Toasters and contraception use correlated due to socioeconomic status as a third variable.
- The third variable problem means causal relationships cannot be inferred from correlation.
Experimental Methods
- Experiments allow researchers to manipulate variables to determine cause and effect.
- Key features include random assignment, control groups, and experimental groups.
- Random assignment with matching ensures groups are balanced for key characteristics.
- Independent variable: manipulated by researchers (e.g., breastfeeding vs. formula).
- Dependent variable: measured outcome (e.g., intelligence test score).
- Control group receives no treatment; experimental group receives the treatment.
- Random assignment and matching minimize extraneous variables.
Operational Definitions
- Researchers must define variables in measurable, objective terms (operational definitions).
- Examples: Learning = score ≥80% on final, Aggression = number of physical attacks, Sleep = EEG measurement.
Experimental Designs
- Within-subjects design: each participant experiences all conditions (compares them to themselves).
- Between-subjects design: each participant experiences one condition (compares different groups).
- Mixed-model design: combines within- and between-subjects comparisons.
- Example: A drug study measuring blood pressure before and after treatment in both males and females.
Ethics in Psychological Research
- Ethical research requires IRB approval and following guidelines: informed consent, voluntary participation, no coercion, and confidentiality.
- Deception is allowed only when justified, and participants must be debriefed afterward.
Key Terms & Definitions
- Demand characteristics (Observer effect) — when participants alter behavior because they know they are observed.
- Observer bias — when researchers' expectations influence their observations.
- Single-blind study — only subjects are unaware of the observation or study purpose.
- Double-blind study — both subjects and researchers don't know who receives treatment or the study purpose.
- Correlation coefficient — a statistical measure of the strength/direction of a relationship between variables (ranges -1 to +1).
- Third variable problem — an unaccounted factor that may cause both variables to correlate.
- Operational definition — a precise, measurable definition of how a variable is defined and assessed.
- Random assignment — assigning participants to groups by chance to avoid pre-existing differences.
- Control group — does not receive the treatment.
- Experimental group — receives the manipulated variable.
- Within-subjects design — same subjects experience all conditions.
- Between-subjects design — different subjects assigned to different conditions.
Action Items / Next Steps
- Read the textbook chapter on research methods for further understanding.
- Review examples of survey question design.
- Complete the posted practice exercises on correlation and experimental methods.