Week 10 Flashcards

1
Q

correlation studies

A

no manipulation
no independent or dependent variables
measuring to see if 2 or more variables are related

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2
Q

scatterplots

A

help us determine if relationships are linear
if related we can draw a line through the points

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3
Q

curve lines

A

a nonlinear relationship
such a a inverted U relationship
e..g the relationship between arousal and memory

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4
Q

positive relationship

A

both variables increase

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5
Q

negative relationships

A

one variable increases, other variable decreases

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6
Q

correlation coefficient

A

shows strength and direction of relationships
range from +1 to -1
+/- is the direction
1 is the strength

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7
Q

closer to 0

A

weaker correlation
what counts as a strong correlation is context dependent

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8
Q

Pearsons r and Spearman’s rho

A

both make the assumption that the relationship is linear

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9
Q

Pearsons r

A

data is interval/ratio

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10
Q

Spearman’s rho

A

data is ordinal

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11
Q

Pearsons r is

A

how far from the mean each participant falls
quantifies how far participants deviate from the mean on one variable predicts deviation from mean on other variables

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12
Q

Spearman’s rho is

A

ranks participants independently on each variable
quantifies the extent to which rank one predicts the rank on other variables

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13
Q

postive coefficient

A

postive relationship

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14
Q

negative coefficient

A

negative relationship

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15
Q

correlation coefficient is

A

a descriptive statistic

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16
Q

null hypothesis

A

no correlation
p value quantifies how much our observed sample correction differs from what we’d expect if the null was true

17
Q

alternate hypothesis

A

can be one tailed or two tailed

18
Q

what shouldn’t we do?

A

draw casual conclusions

19
Q

what should we do?

A

consider how many correlations have been conducted
large datasets which lots of positive correlations produce spurious correlations

20
Q

spurious correlations

A

not meaningful and don’t reflect a true relationship

21
Q

random error

A

caused by unknown and unpredictable changes in the experiment
doesn’t effect the mean but changes the range of scores around the mean

22
Q

systematic error

A

reproducible and consistent in the same direction
effects the mean

23
Q

to reduce the error

A

repeat measurements
apply correction factors
pilot study
training the experimenter
training the participants
triangulation

24
Q

triangulation

A

suing more than one measure of a particular behaviour
a group of measurement tools won’t have the same error

25
Q

validity

A

how accurate is our research measuring the desired behaviour

26
Q

internal validity

A

effects observed are due to independent variable not other factors

27
Q

ecological validity

A

external
results can be generalised to other settings

28
Q

population validity

A

external
results can be generalised to other people

29
Q

predictive validity

A

external
whether our measure predicts other related behaviours

30
Q

construct validity

A

external
are we measuring what we think we are measuring

31
Q

face validity

A

on ‘face value’ it seems the measure is appropriate

32
Q

reliability

A

consistency of our measure or results

33
Q

internal reliability

A

applies only to questionnaires
do items thats purpose is to measure the same thing have consistent responses

34
Q

external reliability

A

extent a measure varies from one use to another

35
Q

test retest

A

same person fills out the same results it should be the same

36
Q

random error in a questionnaire

A

natural small variations over time

37
Q

systematic error in a questionnaire

A

social desirable responding