Week 11 Flashcards

1
Q

research is designed to establish cause and effect

A

if we don’t use an experimental design to research a hypothesis, it may not be possible to establish cause and effect

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

causation

A

does one variable cause the change of another

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

correlation

A

two variables, one alters the other

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

why cant a correlation be a causation?

A

may be due to other factors
results may be a fluke -random correlates
a causes b or b causes a

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

reverse causality

A

when either direction is possible
don’t know if a causes b or b causes a

therefore more research is needed for causation to be established

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

sample bias

A

we generally rely on people willing to take part
if people don’t have time or aren’t willing our sample may bot be generalisable and may lead to bias

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

low population validity can be improved

A

change recruitment strategies
compensation
key measures survey for those that declined to take part

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

non-engaging client forms

A

anonymous
collects no personal data

offers an alternative for those that may not be as willing to participate

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

no consent

A

no data collection
data protection act and ethics

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

convince samples

A

usually psychology students

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

cross cultural studies

A

some behaviours are universal, others are culturally different
these studies show similarities and differences

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

representative samples

A

should consider
- age
- socio-economic groups
- gender
- income
- education levels

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

nominal data

A

categorical data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

categorical data

A

putting observations into discrete categories
cannot be ranked, they are just different

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

chi squared goodness of fit

A

used when single nominal variables with 2 or more categories
we have sorted them

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

chi squared

A

compares observed with expected frequencies

15
Q

expected

A

what we expect to see under the null hypothesis
e.g. observations will be evenly distributed

16
Q

larger difference between observed and expected

A

larger chi squared value
smaller p value

17
Q

chi squared test of associations

A

2 nominal variables
each with 2 + categories and we want to know if they are related
testing for a relationship

18
Q

relationship represented

A

using a contingency table
categories of one variable = columns
categories of another = rows

19
Q

expected frequencies

A

null hypothesis
there is no relationship

20
Q

minimum expected frequency in any cell

A

5

21
Q

larger difference between observed and expected

A

larger chi squared value
smaller p value

22
Q

reject null hypothesis

A

p value smaller than the alpha level

23
Q

probability of observation appearing in each column

A

doesn’t differ depending on its rows