Research Methods Flashcards

1
Q

Research aim

A

What the researcher intends to find out

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2
Q

Research Hypothesis

A

A prediction of our research
(States what we expect to find out)

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3
Q

Directional hypothesis

A

Specifically states what what the variable with affect another

Eg. it is expected that males will perform better than females

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4
Q

Non- directional hypothesis

A

THERE WILL HE A DIFFERENCE between the variable
(We don’t know how)

Eg. eating chocolate will effect your mood

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5
Q

Null hypothesis

A

NO DIFFERENCE/ no relationship between variables

Eg. There will be no difference in performance between those who eat breakfast and those who don’t

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6
Q

Independent variable

A

Variable that the researcher CHANGES/ MANIPULATES

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7
Q

Dependent variable

A

The variable the the researcher MEASURES

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8
Q

What’s the IV and that’s the DV

Qn: a researcher is interested in finding out if males will perform better on a spatial awareness test than females

A

IV: gender
DV: Performance

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9
Q

Situational variables

A

Things in the environment that may cause the effect

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10
Q

Participant variables

A

Differences between people

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11
Q

Investigator or experimenter effect

A

How the researcher or experimenter may influence the results

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12
Q

Operationalisation of variables

A

A way of measuring mental processes

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13
Q

Non-operationalised and operationalised

A

Non- operationalised:
Aggression
Operationalised: testosterone levels

N.O.
happiness
OP.
self reports

N.O.
Young/old people
OP.
Reaction times, memory recall, hearing test

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14
Q

Confounding variables

A

Factors other than the independent variable that may cause a result

Eg. Stress making you lose weight instead of exercise
(based on ‘exercise helps weight loss’ study)

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15
Q

Extraneous variable

A

Any variables we arnt investigating that can have a potential affect on the outcome of our research

Eg. Time of day you weigh yourself
(Based on Weight loss study)

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16
Q

Why do we need to control extraneous variables?

A

So they don’t have an effect on our research

If they influence the DV they become confounding variables a

17
Q

Strengths and weaknesses of an experiment

A

Strengths:
-Can control all extraneous variables
-can get alot of data – cause+effect
-takes place in real life setting- no demand characteristics
-increasing ecological validity (only in field experiment)

Weaknesses:
-can be unethical
-real life setting makes it difficult to control confounding variables

18
Q

Independent groups

A

Participants are set into groups and each group does a level of IV

STRENGTHS:
Measures natural, real life behaviour = Reduced demand characteristics

WEAKNESSES:
- need more participants
= time consuming
-individual differences may lead to differences in the group results =false conclusions

Eg. One group completes a h/w task with TV on, group 2 completes without TV off

19
Q

Matched pairs

A

Pairs of participants are matched in terms of key variables or share characteristics relevent to topic of study

STRENGTHS:
-can control subject variables
-more accurate results

WEAKNESSES:
-time consuming
-matches are never perfect
-difficult to match them
-cant control variables

Eg. Same IQ level for participants A in group 1 and participants A in group B

20
Q

Quasi experiments

A

These are not true experiments because the IV has not been deliberately manipulated

Used when it would be impossible, impractical or unethical to manipulate IV

2 types of quasi experiment:
-Natural experiments
-difference studies

21
Q

(Quasi experiment)

Natural experiments

A

When it’s not possible to or not practical to manipulate IV

22
Q

(Quasi experiments)

Difference studies

A

When IV is a condition that already exists

23
Q

What are the advantages and disadvantages of a quasi experiment

A

ADVANTAGES:
- allows research where it would be unethical or not practical to manipulate the IV eg violence on TV
- more realistic - ecologically valid
-enables researchers to study
‘real’ problems eg. Effects of stress on health

DISADVANTAGES:
-may be other variables present that’s may also cause DV to change
-cant assume cause and effect – because you havnt directly changed the IV you can’t assume IV was responsible for causing change to dv

24
Q

Observational study

A

Where researcher watched or listens to participants engaging in whatever behaviour is being studied

Observations are recorded

25
Q

Overt observation

A

When a participant knows that they are being observed

-Social desirability

-Demand characteristics

26
Q

Covert observations

A

Participants unaware of being observed

P- more realistic behaviour

N- unethical, no contact, no consent

27
Q

Natural observations

A

Conducted in natural environment

P- behaviour will be realistic
= generalise results
=Research has ecological validity

N- if it’s covert natural observation you don’t have participants consent

28
Q

Controlled observation

A

Eg. Little Albert

All variables are controlled - pressume cause and effect

P- increases internal validity

N- artificial Almost fake - can’t generalise - lack ecological validity