Unit 1: History & Approaches Flashcards

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1
Q

Three elements of a scientific attitude

A

curiosity, skepticism, humility

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2
Q

Rene Descartes

A
  • agreed with Socrates and Plato about the existence of innate ideas and the mind’s being entirely separate from the body
  • experimentation ruled that memories formed as experiences that opened nerve pathways important to enable/affect reflexes
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3
Q

John Locke

A
  • British political philosopher
  • the mind at birth is a blank slate
  • empiricism (along with bacon): the idea that knowledge comes from experience, and observation and experimentation enable scientific knowledge
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4
Q

Wilhelm Wundt

A
  • “father of psychology”
  • established the first psychology lab at a German university
  • developed experimental apparatus to test consciousness and measure “atoms of the mind”
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5
Q

Mary Whiton Calkins

A

a pioneering memory researcher and the first woman to become president of the American Psychological Association

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6
Q

Margaret Floy Washburn

A

the first woman to receive a psychology PhD, second female president of the American Psychological Association

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7
Q

Cognitive psychology

A

the study of mental processes, such as those that occur when we perceive, learn, remember, think, communicate, and solve problems

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8
Q

Cognitive neuroscience

A

the inter-disciplinary study of the brain activity linked with cognition (including perception, thinking, memory, and language)

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9
Q

Nature-nurture issue

A

longstanding controversy of the relative contributions genes (nature) and our experiences (nurture) make to the development of certain psychological traits and behaviors

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10
Q

Natural selection

A

the principle that inherited traits that better enable an organism to survive and reproduce in its environment will most likely be passed down to succeeding generations

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11
Q

Behavior genetics

A

the study of the relative power and limits of genetic and environmental influences on behavior

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12
Q

Positive psychology

A

the scientific study of human flourishing, with the goal of discovering and promoting strengths and virtues that help individuals and communities to thrive

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13
Q

Biopsychosocial approach

A

an integrated approach that combines biological, psychological, and socio-cultural viewpoints

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14
Q

Behavioral approach

A
  • how we learn observable responses
  • based on observable behaviors and actions; does not pay attention to cognitive processes because they are not observable
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15
Q

Biological approach

A
  • how the body and brain enable emotions, memories, and sensory experiences
  • how genes combine with the environment to influence individual differences
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16
Q

Cognitive approach

A
  • how we encode, process, store, and retrieve information
  • how an individual processes the world around them and why they are processing it that way
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17
Q

Evolutionary approach

A
  • how the natural selection of traits has promoted the survival of genes
18
Q

Humanistic approach

A
  • how we meet our needs for love and acceptance and achieve self-fulfillment
  • free will and individual choice; potential for growth
19
Q

Psychodynamic approach

A
  • how behavior springs from unconscious drives and conflicts
  • influences of childhood trauma/unfulfilled wishes
20
Q

Socio-cultural approach

A
  • how behavior and thinking vary across situations and cultures
21
Q

Scientific method

A
  • Theory
  • Hypothesis
  • Operational definitions
  • Replication
22
Q

Descriptive methods

A

methods to describe behaviors,

**case studies: a descriptive technique in which one group or individual is studied in depth in the hope of revealing universal principles
- strengths: require only one participant, weakness: single cases may be misleading, no control of variables

**surveys: a descriptive technique for obtaining the self-reported attitudes or behaviors of a particular group, usually by questioning a representative sample
- strengths: quick and inexpensive, weakness: no control of variables

**naturalistic observation: observing and recording behavior in a naturally occurring situation without trying to manipulate/control it
- strengths: require only one participant, can be done when inethical to manipulate variables, weakness: single cases may be misleading, no control of variables

23
Q

Correlational methods

A

methods associating different factors or variables

strengths: works with large groups of data, may be used in situations where experimentation is inethical/impossible

Weaknesses: does not specify cause and effect

24
Q

Experimental methods

A

methods used to manipulate variables to discover their effects

strengths: specifies cause and effect, variables are controlled

weaknesses: sometimes not feasible, results may not generalize to other contexts, not ethical to manipulate certain varibales

25
Q

Population

A

all those in a group being studied, from which samples may be drawn (survey)

26
Q

Random sample

A

a sample that fairly represents a population because each member has an equal chance of inclusion

27
Q

Correlation

A

a measure of the extent to which two factors vary together, and thus how well either factor predicts the other

  • measured by a correlational coefficient (a statistical index of the relationship between two things from -1.00 to +1,00); a score very close to -1 or +1 means a very obvious positive or negative correlation
28
Q

Illusory correlation

A

perceiving a relationship where none exists, or perceiving a stronger-than-actual relationship

29
Q

Regression toward the mean

A

The tendency for extreme/unusual scores to fall back toward the average - extraordinary happenings tend to be followed by ordinary ones

30
Q

Random assignment

A

assigning participants to experimental and control groups by chance, thus minimizing preexisting differences between different groups

31
Q

Double-blind procedure

A

when both the researchers and participants are blind to who is being tested and who receives a placebo

32
Q

Confounding variable

A

a factor that is aside from the one being studied that might influence a study’s results

33
Q

Descriptive statistics

A

numerical data used to measure and describe characteristics of groups - includes measures of central tendency and measures of variation

34
Q

Histogram

A

a bare graph depicting a frequency distribution

35
Q

Skewed distribution

A

a representation of scores that lack symmetry around their average value

36
Q

Standard deviation

A

a computed measure of how much scores very around the mean score

37
Q

Normal curve

A

A symmetrical bell-shaped curve; most scores fall near the mean

About 95 percent of cases fall within two standard deviations. Thus, about 68 percent of any group of people taking an intelligence test will score within one standard deviation.

38
Q

Inferential statistics

A

numerical data that allow one to generalize - to infer from sample data the probability of something being true of a population

39
Q

3 Principles of reliable generalization

A
  1. representative samples are better than biased samples
  2. less-variable observations are more reliable than those that are more-variable
  3. more cases are better than fewer
40
Q

Statistical significance

A

a statistical statement of how likely it is that an obtained result occurred by chance