In-depth Notes on Core Psychological Studies

Biological Approach

1. Dement & Kleitman (1957) – Sleep and Dreams
  • Study Focus: Investigated the relationship between REM sleep and dreaming.
  • Methodology: EEG recordings used to measure brain activity.
  • Findings: REM sleep closely associated with vivid dreaming. Participants reported dream content when woken at different sleep stages (REM vs. NREM).
  • Lead Investigators: William Dement and Nathaniel Kleitman.
  • Sample Population: 9 adults (7 men, 2 women) via opportunity sampling.
  • Aim: Explore how REM sleep correlates with dream recall.
  • Hypothesis: Dreams are more likely to be recalled in REM than NREM.
  • Variables:
    • IV: Sleep stage (REM vs. NREM)
    • DV: Dream recall upon awakening
    • Controlled: Sleep environment, EEG monitoring
    • Extraneous: Individual differences in sleep patterns
  • Strengths and Weaknesses:
    • Strengths: High control of extraneous variables; objective EEG measurements.
    • Weaknesses: Small sample size limits generalizability.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited due to small sample.
    • Reliability: High due to EEG consistency.
    • Applicability: Important for sleep research.
    • Validity: High internal validity from controlled conditions.
    • Ethical: Minimal issues; non-invasive interventions.
2. Hassett et al. (2008) – Monkey Toy Preferences
  • Study Focus: Examined sex differences in toy preferences among monkeys.
  • Findings: Male monkeys preferred wheeled toys, females favored dolls.
  • Lead Investigator: Janice M. Hassett.
  • Sample Population: 34 juvenile rhesus monkeys (11 males, 23 females) via random selection.
  • Aim: Investigate intrinsic sex differences in toy preferences.
  • Hypothesis: Male monkeys prefer wheeled toys; females prefer plush dolls.
  • Variables:
    • IV: Type of toy (wheeled vs. plush)
    • DV: Time spent interacting with each toy.
    • Controlled: Toy placement and environment
    • Extraneous: Individual differences in preferences
  • Strengths and Weaknesses:
    • Strengths: High ecological validity through natural observation.
    • Weaknesses: Limited generalizability beyond rhesus monkeys.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to non-human primates.
    • Reliability: High if repeated with same settings.
    • Applicability: Insightful for nature vs. nurture discussions regarding gender.
    • Validity: High due to natural settings.
    • Ethical: Minimal as natural behaviors were observed.
3. Hölzel et al. (2011) – Mindfulness and Brain Scans
  • Study Focus: Investigated the impact of mindfulness meditation on brain structure.
  • Findings: Increased gray matter density in areas linked with memory and emotional regulation among participants.
  • Lead Investigator: Britta K. Hölzel.
  • Sample Population: 16 adults (8 men, 8 women) with no prior meditation experience via volunteer sampling.
  • Aim: Examine how mindfulness changes brain structure.
  • Hypothesis: Mindfulness increases gray matter density in specific brain regions.
  • Variables:
    • IV: Participation in an 8-week mindfulness program.
    • DV: Changes in gray matter density.
    • Controlled: Consistency in meditation duration.
    • Extraneous: Previous meditation experience.
  • Strengths and Weaknesses:
    • Strengths: Objective MRI data provide reliable results.
    • Weaknesses: Small sample size limits wider applicability.
  • G.R.A.V.E. Analysis:
    • Generalizability: Moderate, mindfulness widely practiced.
    • Reliability: High; MRI results can be replicated.
    • Applicability: Potential therapeutic uses in mental health.
    • Validity: High internal validity from precise measurements.
    • Ethical: Minimal risks from non-invasive MRI procedures.

Cognitive Approach

4. Andrade (2010) – Doodling and Concentration
  • Study Focus: Examined if doodling helps improve concentration during monotonous tasks.
  • Findings: Doodlers recalled more details from a message compared to non-doodlers.
  • Lead Investigator: Jackie Andrade.
  • Sample Population: 40 participants (18 men, 22 women) via opportunity sampling.
  • Aim: Investigate if doodling aids concentration.
  • Hypothesis: Doodling enhances recall.
  • Variables:
    • IV: Doodling status during listening.
    • DV: Amount of information recalled.
    • Controlled: Message content and duration.
    • Extraneous: Differences in attention spans.
  • Strengths and Weaknesses:
    • Strengths: High control over extraneous variables.
    • Weaknesses: Limited demographic diverseness.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited by sample size and demographics.
    • Reliability: High due to standardized methods.
    • Applicability: Important for educational concentration strategies.
    • Validity: High internal validity.
    • Ethical: Minimal; participants were debriefed.
5. Baron-Cohen et al. (2001) – Theory of Mind (Eyes Test)
  • Study Focus: Investigated deficits in theory of mind using the "Reading the Mind in the Eyes" Test.
  • Findings: Individuals with autism scored lower than controls on emotion interpretation from eye regions.
  • Lead Investigator: Simon Baron-Cohen.
  • Sample Population: 76 adults (16 with autism, 50 neurotypical, 10 with Tourette syndrome) via opportunity sampling.
  • Aim: Analyze theory of mind abilities in autism spectrum disorders.
  • Hypothesis: Autistic individuals will score lower on the Eyes Test.
  • Variables:
    • IV: Autism diagnosis (autism, Asperger syndrome, neurotypical).
    • DV: Scores on the Eyes Test.
    • Controlled: Test format and visual stimuli.
    • Extraneous: Differences in emotional intelligence.
  • Strengths and Weaknesses:
    • Strengths: High control of extraneous variables.
    • Weaknesses: Limited to high-functioning autistic individuals.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to high-functioning autism.
    • Reliability: High; standardized testing protocols.
    • Applicability: Key for social understanding of autism.
    • Validity: High internal validity.
    • Ethical: Sensitive handling of vulnerable participants.
6. Pozzulo et al. (2011) – Line-Ups Study
  • Study Focus: Examined the reliability of eyewitness testimony among children in police line-ups.
  • Findings: Children were more prone to false positives compared to adults.
  • Lead Investigator: Dr. Joan Pozzulo.
  • Sample Population: 112 individuals (59 children aged 4-7, 53 adults aged 17-30) via opportunity sampling.
  • Aim: Investigate eyewitness memory reliability, especially in children.
  • Hypothesis: Children make more false positive identifications.
  • Variables:
    • IV: Line-up type (target-present vs. target-absent).
    • DV: Accuracy of identification.
    • Controlled: Line-up procedures.
    • Extraneous: Participant stress or legal system familiarity.
  • Strengths and Weaknesses:
    • Strengths: High control over experimental conditions.
    • Weaknesses: Limited ecological validity due to lab setting.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to children and young adults.
    • Reliability: High; procedures easily replicated.
    • Applicability: Crucial for forensic psychology.
    • Validity: High internal validity.
    • Ethical: Informed consent was obtained; care taken to minimize stress.

Learning Approach

7. Bandura et al. (1961) – Aggression - (The Bobo Doll Experiment)
  • Study Focus: Investigated how children imitate aggressive behaviors observed in adult role models.
  • Findings: Children exposed to aggressive behavior towards a Bobo doll later exhibited aggression towards the doll.
  • Lead Investigator: Albert Bandura.
  • Sample Population: 72 children (36 boys, 36 girls) aged 3-6 via opportunity sampling.
  • Aim: Identify if aggressive behavior can be learned through observation.
  • Hypothesis: Children exposed to aggressive models will show higher aggression levels.
  • Variables:
    • IV: Behavior of adult model (aggressive vs. non-aggressive).
    • DV: Aggressive behavior exhibited by children.
    • Controlled: Environment and exposure duration.
    • Extraneous: Children’s previous experiences with aggression.
  • Strengths and Weaknesses:
    • Strengths: High control of extraneous variables.
    • Weaknesses: Low ecological validity; not representative of real-life interactions.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to young children.
    • Reliability: High; findings replicated multiple times.
    • Applicability: Significant implications for understanding media influence.
    • Validity: High internal validity.
    • Ethical: Concerns around exposing children to aggression; documented no long-term harm.
8. Fagen et al. (2014) – Elephant Learning
  • Study Focus: Examined the use of positive reinforcement in training elephants.
  • Findings: Elephants performed tasks more effectively with rewards.
  • Lead Investigator: Julie Fagen.
  • Sample Population: 14 Asian elephants via opportunity sampling.
  • Aim: Investigate how positive reinforcement influences elephants’ task performance.
  • Hypothesis: Elephants with reinforcement will perform tasks better.
  • Variables:
    • IV: Type of reinforcement (positive vs. no reinforcement).
    • DV: Task performance metrics.
    • Controlled: Task difficulty and consistency of rewards.
    • Extraneous: Individual elephant differences.
  • Strengths and Weaknesses:
    • Strengths: High ecological validity.
    • Weaknesses: Limited to elephants; findings may not apply to other species.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to working elephants.
    • Reliability: High; repeatable methodology.
    • Applicability: Relevant for humane animal training practices.
    • Validity: High due to naturalistic settings.
    • Ethical: Minimal concerns; humane methods employed.
9. Saavedra & Silverman (2002) – Button Phobia
  • Study Focus: Case study of a boy with severe button phobia treated with exposure therapy.
  • Findings: Therapy significantly reduced the boy’s phobic symptoms.
  • Lead Investigators: Luz Maria Saavedra and Wendy Silverman.
  • Sample Population: One 9-year-old boy via purposive sampling.
  • Aim: Explore exposure therapy’s effectiveness in treating phobias.
  • Hypothesis: Cognitive restructuring combined with exposure therapy will yield better results.
  • Variables:
    • IV: Type of therapy (exposure with and without cognitive restructuring).
    • DV: Reduction in phobic symptoms.
    • Controlled: Therapy procedures.
    • Extraneous: Previous phobic experiences.
  • Strengths and Weaknesses:
    • Strengths: Detailed case monitoring offers rich data.
    • Weaknesses: Limited generalizability due to single-case study approach.
  • G.R.A.V.E. Analysis:
    • Generalizability: Low due to case study limitations.
    • Reliability: Low; challenging to replicate identically.
    • Applicability: High relevance to treating specific phobias.
    • Validity: High internal validity from clinical monitoring.
    • Ethical: Parental consent and monitoring ensured ethical conduct.

Social Approach

10. Milgram (1963) – Obedience to Authority
  • Study Focus: Explored the extent to which individuals obey authority.
  • Findings: Participants delivered shocks to a learner at the instruction of an experimenter, even under distress, revealing a tendency to obey authority.
  • Lead Investigator: Stanley Milgram.
  • Sample Population: 40 male participants aged 20-50 via volunteer sampling.
  • Aim: Investigate obedience to authority figures.
  • Hypothesis: Participants will continue administering shocks due to authority influence.
  • Variables:
    • IV: Presence of an authority figure (experimenter).
    • DV: Level of obedience (maximum voltage delivered).
    • Controlled: Standardized conditions and environment.
    • Extraneous: Individual personality traits.
  • Strengths and Weaknesses:
    • Strengths: High controlled environment increases validity.
    • Weaknesses: Ethical concerns regarding distress and deception.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to male subjects but has been replicated.
    • Reliability: High; findings consistent across studies.
    • Applicability: Insightful for understanding authority dynamics.
    • Validity: High internal validity due to control.
    • Ethical: Concerns of deception; participants were debriefed.
11. Perry et al. (2015) – Personal Space
  • Study Focus: Investigated how oxytocin affects perceptions of personal space.
  • Findings: Administration of oxytocin reduced personal space for participants.
  • Lead Investigator: Anat Perry.
  • Sample Population: 54 male undergraduates expressing healthy psychological backgrounds via volunteer sampling.
  • Aim: Understand oxytocin’s effect on social behavior.
  • Hypothesis: Oxytocin will decrease personal space allowances.
  • Variables:
    • IV: Oxytocin vs. placebo administration.
    • DV: Personal space preferences (distance maintained).
    • Controlled: Environment size and interaction conditions.
    • Extraneous: Participant differences in personality or culture.
  • Strengths and Weaknesses:
    • Strengths: Double-blind design reduces participant bias.
    • Weaknesses: Limited to young healthy males restricts applicability.
  • G.R.A.V.E. Analysis:
    • Generalizability: Limited to young undergraduates.
    • Reliability: High through replicable processes.
    • Applicability: Valuable insights on social bonding behaviors.
    • Validity: High internal validity.
    • Ethical: Minimal risk ensured by double-blind methods.
12. Piliavin et al. (1969) – Subway Samaritans
  • Study Focus: Examined bystander behavior responses in emergencies within a natural setting.
  • Findings: Factors such as victim condition affected bystander help, highlighting social context influence on prosocial behavior.
  • Lead Investigators: Irving Piliavin, Judith Rodin, and Jane Piliavin.
  • Sample Population: 4,450 subway passengers with opportunity sampling.
  • Aim: Investigate factors influencing bystander intervention during emergencies.
  • Hypothesis: People are more likely to help a disabled individual than a drunk individual.
  • Variables:
    • IV: Victim condition (drunk vs. disabled) and other factors like race.
    • DV: Rate of helping behavior and response speed from bystanders.
    • Controlled: Environmental conditions and confederate behavior.
    • Extraneous: Variations in bystanders’ individual differences.
  • Strengths and Weaknesses:
    • Strengths: Large sample size enhances generalizability.
    • Weaknesses: Ethical issues regarding lack of informed consent.
  • G.R.A.V.E. Analysis:
    • Generalizability: High due to diverse sample.
    • Reliability: High; repeated trials revealed consistent findings.
    • Applicability: Essential for understanding public prosocial behaviors.
    • Validity: High internal validity.
    • Ethical: Consent issues due to covert observation in public settings.

Issues and Debates

  • Dement & Kleitman: Nature vs. Nurture - Biological focus on dreaming. Ethical concerns minimal.
  • Hassett et al.: Nature vs. Nurture - Highlights biological influences on gender behavior.
  • Hölzel et al.: Nature vs. Nurture - Mindfulness (nurture) alters brain (nature).
  • Andrade: Nature vs. Nurture - Task environment shows nurture influence.
  • Baron-Cohen et al.: Nature vs. Nurture - Autism reflects interaction of biological and experiential factors.
  • Pozzulo et al.: Nature vs. Nurture - Memory performance shaped by environmental influences.
  • Bandura: Nature vs. Nurture - Social learning emphasizes nurture.
  • Fagen et al.: Nature vs. Nurture - Reinforcement influences behavior (nurture).
  • Saavedra & Silverman: Nature vs. Nurture - Treatment demonstrate learned behaviors altered through nurture.
  • Milgram: Nature vs. Nurture - Obedience results from nurtured authority influence.
  • Perry et al.: Nature vs. Nurture - Oxytocin, a biological factor, influences social behavior (nature).
  • Piliavin et al.: Nature vs. Nurture - Helping behavior affected by contextual influences (nurture).