Research methods C Flashcards

1
Q

what is the p in statistics

A

the likelihood that we are wrong about nothing going on

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2
Q

example of when unethical research has been published

A

august 2022, researcher immersed himself in porn featuring children

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3
Q

what is a rationale

A

an explanation of the reasons of doing something

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4
Q

conceptual (in terms of a hypothesis)

A

describing an idea clearly and concisely using accessible language

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5
Q

technical (in terms of a hypothesis)

A

describing an idea precisely and with reference to appropriate technology

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6
Q

what is the structure of a simple comparison experiment

A

1 IV, 1 DV, 2 conditions

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7
Q

what is the structure of a one-way design

A

1 IV, 1 DV and 3 or more conditions

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8
Q

how many differences would you see in a one-way design?

A

there are 3 differences in a one-way design

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9
Q

how is a factorial design different?

A

looking at more than one IV at the same time

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10
Q

does the number of levels have an effect on interactions?

A

no the number of levels do not have an effect on interactions

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11
Q

what do the number of factors determine? (in a factorial design)

A

the number of interactions

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12
Q

what does ANOVA stand for

A

analysis of variance

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13
Q

what is variance

A

measure of spread/dispersion

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14
Q

what does ANOVA test

A

are two or more groups from the same population of scores - are the differences in individual scores the same size?

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15
Q

why is there variation in scores?

A

naturally occurring differences (error) ,differences due to a factor that varies for different groups (known as main effects) and the interactions

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16
Q

what is the definition of error?

A

the naturally occurring differences between people

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17
Q

where is the mean on a bell curve

A

at the peak

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18
Q

what does this show

A

same mean, different levels of dispersion

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19
Q

what does the width of a singular bell curve show

A

within-group variance

20
Q

what does the length between the peak of two bell curves mean

A

the between group variance

21
Q

what does it mean if the f ratio is bigger than 1

A

significant difference

22
Q

what is the f ratio

A

the ratio of between group variance and within group variance

23
Q

between group variance

A

the overall variation between the groups

24
Q

within group variance

A

the overall variation in one experimental group

25
when is a post hoc test used
when an ANOVA f test is significant
26
type 1 error
concludes there is a difference when there isn't
27
what type of data is used for ANOVA
normally distributed interval and ratio data
28
if there are two groups what are the chances of making a type 1 error
1/20
29
how do you get around the family wise error
set an acceptable error rate
30
what do you report for a non-parametric test used by ANOVA
medians and minimum&maximum scores
31
what is a kruskal-wallis test
a non-parametric independent groups one-way ANOVA
32
how many groups does a kruskal-wallis test compare
3 or more independent groups
33
what are the two non-parametric tests used to test the difference between three or more conditions?
kruskal-wallis and friedman
34
what is a Friedman test
a one-way non-parametric repeated measures ANOVA
35
if parametric assumptions were violated by ANOVA what do you do?
use a non-parametric test - kruskal-wallis or Friedman
36
what does the 'number of ways' influence (in relation to ANOVA)
the number of IV's
37
how many IV's does a three way ANOVA have
3
38
do the number of 'ways' in an ANOVA influence the number of DV's
no
39
how do you work out the number of conditions in an ANOVA
number of factors x number of levels
40
how many conditions if there are 2 factors and 3 levels
6
41
how many interactions for a 2 x 5 ANOVA
1 interaction as there are only two conditions
42
why do we need to carry out post-hoc tests
because a signficant ANOVA does not show what conditions are different to one another
43
what is the bonferroni correction
takes the number of comparisons and takes the acceptable p value, divides it by the number of tests that's going to be used
44
formula for working out number of interactions in an ANOVA
45
how do you know in a graph whether two factors have an interaction?
lines should be parallel