chapter 2 Flashcards

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1
Q

Research design matters. Why?

2 reasons

A

1) science has helped practitioners who work with individuals with autism to avoid wasting valuable time on facilitated communication that is ineffective
2) science has allowed practitioners to develop and test treatments for autism that work

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2
Q

what is Prefrontal Lobotomy?

A

surgery that severs the fibres connecting the brain’s frontal lobes from the underlying thalamus

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3
Q

which condition was prefrontal lobotomy used for? AND why was it later scrapped?

A

Used for schizophrenia. The problem is systematic research was not conducted, all proof was based on subjective clinical reports

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4
Q

who created prefrontal lobotomy for schizophrenia?

A

Egas Moniz (nobel prize winner)

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5
Q

What are the 2 methods of thinking?

A

system 1 (aka intuitive thinking): involves heuristics which is a mental shortcut that allows quick problem solving but occasionally leads to mistakes (predictable wrong)

System 2 (aka analytical thinking): requires reflectivity.

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6
Q

define Heuristic

A

Mental shortcut that helps us to streamline our thinking and make sense of our world

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7
Q

define Representative Heuristic

A

It involves making judgments by comparing things to concepts we already have in mind. While this shortcut can speed up the decision-making process, it can also lead to poor choices and stereotypes.

Ex: police who are looking for a suspect in a crime might focus disproportionately on Black people in their search, because the representativeness heuristic (and the stereotypes that they are drawing on) causes them to assume that a Black person is more likely to be a criminal than somebody from another group.

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8
Q

define Availability Heuristic

A

Estimating the likelihood of an occurrence based on the ease with which it comes to our minds.

Ex: Are there more trees in downtown or college? College. You didn’t count the number of trees but you used previous knowledge and came to the conclusion that downtown has many buildings.

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9
Q

Define base rate

A

How common a characteristic or behaviour is the general population

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10
Q

What are the 4 types of research designs?

A

1) Naturalistic observation: Watching behaviour in real-world settings without trying to manipulate the situation
2) case studies:Research design that examines one person or a small number of people in depth, often over an extended time period.
3) correlational designs: Research design that examines the extent to which two variables are associated.
4) experimental designs: random assignment of participants to conditions and manipulation of an independent variable.

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11
Q

Define Random selection and what is it the key of?

A

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

Also KEY to generalizability

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12
Q

Define reliability AND the 2 types of reliability

A

definition: Consistency of Measurement

2 types:

1) test-retest reliability: a reliable questionnaire wields similar scores over time
2) interrater-reliability: different people who conduct an interview or who make behavioural observations disagree on what they’re measuring. Ex: 2 people sent to do testing in clinic of the same thing but the data shows its different

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13
Q

define validity

A

Extent to which a measure assesses what it purports to measure

does it actually measure what it says it does?

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14
Q

Define response set

A

distorting the answers to questions to paint ourselves in a positive light

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15
Q

define malingering

A

fabrication or exaggeration of physical or psychological symptoms designed to achieve achieve a clear-cut personal goal. Ex: someone faking an injury to obtain financial compensation

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16
Q

define Self-Report Measures

A

questionnaires assessing a variety of characteristics (e.g., interests, traits)

17
Q

define Correlational Design AND what words are mostly used?

A

Research design that examines the extent to which two variables are associated.

words: “associated”, “linked”,”rarely”

18
Q

what are the 2 types of correlation?

A

1) POSITIVE correlation: if x increases then y increases

2) NEGATIVE correlation: if x decreases then y increases or if x increases then y decreases

19
Q

What are the KEY ingredients to an experiment?

A

1) random assignment

2) manipulation of independent variable

20
Q

define random assignment and describe the breakdown

A

Randomly sorting participants into groups

  • these groups are then broken down to the control and experiment group
21
Q

define between-subjects designs

A

comparing experimental group to control group

22
Q

define within-subject designs

A

In an experiment, each participants act as his or hers own control.

ex: only 1 group. data collected before experiments (control) and after(experimental) thus the group acts as its own control and experimental

23
Q

define independent and dependent variables

A

independent variable: Variable that an experimenter manipulates

dependent variable: Variable that an experimenter measures to see whether the manipulation has an effect.

24
Q

define the placebo effect and the solution for it.

A

Improvement resulting from the mere expectation or improvement

solution: patients must remain BLIND. not knowing what they received

25
Q

define blind

A

Unaware of whether one is in the experimental or control group.

26
Q

define the Nocebo Effect

A
harm resulting from the mere expectation
of harm (e.g., voodoo doll phenomenon)
27
Q

define Experimenter Expectancy Effect

A

researcher’s hypotheses lead them to unintentionally bias that outcome of a study..

Ex: participants don’t know the conditions but the researcher does

28
Q

define double blind

A

When neither researchers nor participations are aware of who’s in the experimental or control group.

29
Q

what is demand characteristics?

A

Cues that participants pick up from a study that allow them to generate guesses regarding the researchers hypothesis.

30
Q

define descriptive statistics

A

describe or summarize data in a meaningful way

31
Q

define central tendency

A

measure of the “central” scores in a data set, or where the group tends to cluster.

32
Q

define mean

A

average; a measure or central tendency

33
Q

define median

A

middle score in data set; a measure of central tendency

34
Q

define mode

A

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

35
Q

define range

A

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

36
Q

define standard deviation

A

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

37
Q

define Inferential Statistics

A

Allows us to determine how much we can generalize findings from our sample to the full population.

38
Q

define Statistical Significance

A

Seeing if our findings would have occurred by chance. If less than 5 in 100 times (1 in 20* reduced form*) then indeed it is by chance

39
Q

define Practical Significance

A

real-world importance