Chapter 2 Flashcards

1
Q

prefrontal lobotomy

A

surgical procedure that severs fibres connecting the frontal lobes of the brain from the underlying thalamus

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2
Q

heuristics

A

mental shortcuts
help us streamline thinking
& make sense of our world

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3
Q

representativeness heuristic

A

judging the probability of an event by its superficial similarity to a prototype
aka - like goes with like

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4
Q

base rate

A

how common a characteristic/behaviour is in the general population

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5
Q

availability heuristic

A

estimating the likelihood of an occurrence based on the ease it comes to mind
aka - off the top of my head

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6
Q

cognitive biases

A

systematic errors in thinking

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7
Q

hindsight bias

A

tendency to overestimate how well we could have successfully forecasted known outcomes

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8
Q

overconfidence

A

tendency to overestimate our ability to make correct predictions

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9
Q

naturalistic observation

A

watching behaviour in real-world settings

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10
Q

external validity

A

extent to which we can generalise findings to real-world settings

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11
Q

interval validity

A

extent to which we can draw cause-and-effect inferences from a study

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12
Q

case study

A

research design that examines one person or a small number of people in depth, often over an extended time period

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13
Q

existence proofs

A

demonstration that a given psychological phenomenon can occur

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14
Q

correlational design

A

research design that examines the extent to which two variables are associated

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15
Q

scatterplot

A

grouping of points on a two-dimensional graph in which each dot represents a single person’s data

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16
Q

illusory correlation

A

perception of a statistical association between two variables where none exists

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17
Q

experiment

A

research design characterised by random assignment of participants to conditions and manipulation of an independent variable

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18
Q

random assignment

A

randomly assorting participants into two groups

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19
Q

experimental group

A

in an experiment, the group of participants that receives the manipulation

20
Q

control group

A

in an experiment, the group of participants that does not receive the manipulation

21
Q

independent variable

A

variable that an experimenter manipulates

22
Q

dependent variable

A

variable that an experimenter measures to see whether the manipulation has an effect

23
Q

confound

A

any difference between the experimental and control groups other than the independent variable

24
Q

placebo efect

A

improvement resulting from the mere expectation of improvement

25
Q

meta-analysis

A

investigation of the consistency of patterns of results across large numbers of studies conducted in different laboratories

26
Q

file drawer problem

A

tendency for negative findings to remain unpublished

27
Q

blind

A

unaware if one is in the experimental group or the control group

28
Q

nocebo effect

A

harm resulting from the mere expectation of harm

29
Q

experimenter expectancy effect

A

phenomenon in which researchers’ hypothesis lead them to unintentionally bias the outcome of a study

30
Q

double-blind

A

when neither researchers nor participants are aware of who is in the control group

31
Q

Hawthorne effect

A

phenomenon in which participants’ knowledge that they are being studied can affect their behaviour
aka reactivity

32
Q

demand characteristics

A

cues that participants pick up from a study that allow them to generate guesses regarding the researcher’s hypotheses

33
Q

random selection

A

procedure that ensures every person in a population has an equal chance of being chosen to participate

34
Q

reliability

A

consistency of measurement

35
Q

validity

A

extent to which a measure assesses what it purports to measure

36
Q

response sets

A

tendencies of research participants to distort their responses to questionnaire items

37
Q

informed consent

A

informing research participants of what is involved in a study before asking them to participate

38
Q

statistics

A

application of mathematics to describing and analysing data

39
Q

descriptive statistics

A

numerical characterisations that describe data

40
Q

central tendency

A

measure of the ‘central’ scores in a data set, or where the group tends to cluster

41
Q

mean

A

average; a measure of central tendency

42
Q

median

A

middle score in a data set; a measure of central tendency

43
Q

mode

A

most frequent score in a data set; a measure of central tendency

44
Q

dispersion

A

measure of how loosely or tightly bunched scores are

45
Q

range

A

difference between the highest and lowest scores; a measure of dispersion

46
Q

standard deviation

A

measure of dispersion that takes into account how far each data point is from the mean

47
Q

inferential statistics

A

mathematical methods that allow us to determine whether we can generalise findings from our sample to the full population