Week 1 Flashcards

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1
Q

Wilhelm Wundt

A
  • Established psych as independent field in Germany
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2
Q

William James

A
  • Brought psychology from Germany to America - “father of modern psychology”
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3
Q

Edward Titchner

A
  • Wundt’s student
  • Pioneered structuralism and introspection
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4
Q

Structuralism

A
  • 1st
  • Pioneered by Edward Titchner
  • Break the psyche down into individual parts
    (think chem and molecules).
  • Individual parts found via introspection – trained individuals reflect on their own experiences
  • Weaknesses: experience is subjective
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5
Q

Psychoanalytic Theory

A
  • 2nd
  • Freud
  • General theory that emphasizes influence of unconscious feelings, thoughts, etc
  • Conscious thoughts and feelings motivated by secret desires or anxieties
  • The unconscious: part of mind containing info that ppl are unaware of
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6
Q

Functionalism

A
  • 3rd
  • Mental states and actions should be understood with evolution in mind (adaptive significance)
  • Weakness: doesn’t account for individuality
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7
Q

Behaviorism

A
  • 4th
  • John Broadus Watson
  • Study ONLY observable behavior and not cognitive processes (i.e., stim and response)
  • Weakness: didn’t account for neurological processes
  • Popularized by Skinner box experiment
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8
Q

Cognitive psychology

A
  • 5th
  • Pushed back against behaviorism – “cognitive processes are important too”
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9
Q

Phineas Gage

A
  • Rail tamp went through head –> damaged frontal lobe –> afterwards, his behavior changed to mean, poor executive functioning, etc
  • First patient revealing association between behavior and part of brain
  • Caveat: not observed by scientists in the years after the accident and initial behavior changes; some accounts described him as nice and pleasant
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10
Q

Cross-Cultural psychology

A
  • Draw comparisons btw individual/group behaviors across populations
  • 96% of psych study populations are WEIRD despite only being 12% of global pop
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11
Q

Why psychology is WEIRD

A

W - white
E - Educated
I - Industrialized
R - Rich
D - Democratic

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12
Q

Basic vs applied research

A

Basic: things we do for the sake of science (not necessarily a clear application)

Applied: we can use the results to solve real-world problems (clinical, educational, forensic, etc)

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13
Q

Hindsight bias

A

Belief that an outcome was foreseeable after it had already occurred (e.g. “I KNEW he shouldn’t have built that rocket)

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14
Q

Scientific method

A
  • Standardized procedure to reduce bias
  • Theory –> hypothesis –> research –> results either support or refute theory
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15
Q

Operational variable

A

Description of a property in concrete terms (e.g. measuring wealth in terms of yearly income, net worth, etc)

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16
Q

Power vs reliability

A

Power: presence of change

Reliability: absence of change

Good detector detects power, not reliability

17
Q

Construct validity

A

Operations of definitions generally seen as good indicators for that def (e.g. smiles is generally seen as good indicator of happiness)

18
Q

Correlational vs experimental design

A

Correlational: OBSERVATION; researchers don’t manipulate variables and just observe relationship btw two variables
- Can only infer correlation and NOT causation, but can inspire experimental study

Experimental: researchers actively MANIPULATE DV to est CAUSAL relationship
- Controlled lab settings can make real-world application difficult

19
Q

Correlational design

A
  • Observation of the relationship btw two variables
  • Establishes correlational relationship
  • Variables called the PREDICTOR and OUTCOME/CRITERION (not IV and DV)
  • Results can inspire future experimental studies to est a causal relationship
20
Q

Different kinds of correlations

A

Direct/positive correlation: x and y in same direction

Indirect/negative correlation: x and y in different directions

Zero correlation: one var not predictably related to the other

21
Q

Correlation strength

A
  • Pearson’s R (r) – coefficient to represent correlation strength
  • Ranges from -1 to 1
  • Certinanity based on absolute value; closer to 0 means less of a correlation
  • Pearson’s R represents the data’s fit to the line, NOT slope
22
Q

Experimental design

A
  • Researchers actively manipulate IV to find causal relationship to DV
23
Q

Random assignment

A
  • Randomly assign participants to different lvls of IV
  • Increases chance that characteristics will be spread out
24
Q

Population vs sample

A

Population: EVERYONE in the group a study is interest in (e.g. all white ppl, all ppl with low income, etc)

Sample: subset of the population of interest

25
Q

Convenience sampling

A

Sampling ppl conveniently available (usually uni students)

26
Q

Random sampling

A

EVERY person in the population has an equal chance of being chosen

27
Q

What makes a good hypothesis

A
  • Must be FALSIFIABLE – able to be disproven
  • Includes variables and predicted relationship