paychology weaknesses and strengths

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Last updated 12:22 PM on 4/25/25
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36 Terms

1
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Dement & Kleitman (1957)

Study focusing on REM sleep and its association with dreaming.

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Strengths of Dement & Kleitman (1957)

Controlled lab setting ensured high internal validity; objective measures like EEG recordings were used.

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Weaknesses of Dement & Kleitman (1957)

Small, mostly male sample limits generalizability; unnatural sleep environment may affect behavior.

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Hölzel et al. (2011)

Study examining mindfulness and its effects on brain structure using MRI scans.

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Strengths of Hölzel et al. (2011)

Used MRI scans for objective brain measurement; practical application for mental health through mindfulness.

6
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Weaknesses of Hölzel et al. (2011)

Small, self-selected sample introduces bias; short duration limits long-term conclusions.

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Andrade (2010)

Study that investigates whether doodling helps attention.

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Strengths of Andrade (2010)

Simple and easily replicable procedure; clear cause-effect relationship due to experimental control.

9
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Weaknesses of Andrade (2010)

Mostly female sample reduces generalizability; artificial task may lack ecological validity.

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Baron-Cohen et al. (2001)

Study focusing on Theory of Mind in individuals with autism.

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Strengths of Baron-Cohen et al. (2001)

Matched groups reduced confounding variables; standardized and validated measures were utilized.

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Weaknesses of Baron-Cohen et al. (2001)

Gender imbalance in autism group; may not reflect real-world social understanding.

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Pozzulo et al. (2012)

Study on eyewitness accuracy comparing children and adults.

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Strengths of Pozzulo et al. (2012)

Age comparisons offer developmental insight; relevant to real-life legal contexts regarding eyewitness testimony.

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Weaknesses of Pozzulo et al. (2012)

Children may interpret tasks differently; opportunity sample may not be representative.

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Bandura et al. (1961)

Study on observational learning of aggression in children.

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Strengths of Bandura et al. (1961)

Large sample and matched participant design; controlled environment enhances internal validity.

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Weaknesses of Bandura et al. (1961)

Exposes children to aggressive behavior (ethical issue); sample limited to American children.

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Fagen et al. (2014)

Study utilizing naturalistic observation to explore social learning in elephants.

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Strengths of Fagen et al. (2014)

Naturalistic observation adds ecological validity; captured real social learning in elephants.

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Weaknesses of Fagen et al. (2014)

Difficult to control variables in the wild; small sample limits generalization.

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Hassett et al. (2008)

Study on toy preferences in monkeys aimed at understanding biological impacts.

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Strengths of Hassett et al. (2008)

Controlled conditions ensured consistency; ethical advantages over human trials.

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Weaknesses of Hassett et al. (2008)

Questionable generalizability to humans; anthropomorphism may bias interpretation.

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Saavedra & Silverman (2002)

Case study treating a boy with a button phobia.

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Strengths of Saavedra & Silverman (2002)

Rich, detailed case study data; therapy success demonstrates real-world effectiveness.

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Weaknesses of Saavedra & Silverman (2002)

Based on a single case, cannot generalize; researcher bias possible in interpretation.

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Milgram (1963)

Study investigating obedience to authority figures.

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Strengths of Milgram (1963)

Highly controlled procedure; revealed key insights about the nature of obedience.

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Weaknesses of Milgram (1963)

Ethical concerns regarding deception and stress; all-male, American sample.

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Piliavin et al. (1969)

Study on bystander behavior in a subway setting.

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Strengths of Piliavin et al. (1969)

High ecological validity due to real subway setting; large, diverse sample.

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Weaknesses of Piliavin et al. (1969)

Lack of informed consent; many variables were not controlled.

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Perry et al. (2015)

Study examining norms of personal space across various contexts.

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Strengths of Perry et al. (2015)

Real-world application of findings regarding personal space norms; varied methods and populations used.

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Weaknesses of Perry et al. (2015)

Cultural bias may skew findings; sampling may not be evenly distributed.