Research Methods- planning & conducting research Flashcards

Aims+hypothesis, sampling techniques, variables, design observations, design self-reports

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1
Q

What is an aim?

A

Gives an idea of what researcher hopes to achieve
Every aim has to begin with “To investigate…”

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2
Q

What is a hypothesis?

A

Simply stating what will happen, like a prediction
Has to be a “testable statement”
Every statement has to include the word ‘significant(ly)’
Can either be ‘null’ or ‘alternative’

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3
Q

What is a null hypothesis?

A

Hypothesis with no difference (null= no)
Statement has to include “There is no significant difference”

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4
Q

What is a directional/ one-tailed hypothesis?

A

Alternative hypothesis that predicts the direction of results (bigger, more, less, faster, slower etc)

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5
Q

What is a non-directional/ two-tailed hypothesis?

A

Alternative hypothesis that predicts there will be a difference, but does not predict the direction

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6
Q

How is a 3 mark hypothesis exam question formulated?

A

1 mark- type of hypothesis
2 marks- state IV (what is being manipulated/ changed)
3 marks- state DV (what is being measured)

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7
Q

What is a target population and sample?

A

Target population- the group in which you’re researching
Sample- list of people in that target population who are acting as participants

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8
Q

What is random sampling?

A

Everyone within the target population has an equal chance of being selected (e.g. pull names out of a hat)

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9
Q

strengths/ weaknesses of random sampling?

A

strength: sample should represent target pop and eliminate bias
weakness: difficult to achieve (time, effort, money)

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10
Q

What is opportunity sampling?

A

Researcher used people from the target population who are available at the time (based off convenience)

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11
Q

strength/ weakness of opportunity sampling?

A

strength: quick and easy way of selection
weakness: may provide an unrepresentative sample

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12
Q

What is self- selected sampling?

A

Participants of target population are asked if they would like to be involved with research

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13
Q

strength/ weakness of self-selected sampling?

A

strength: ethically good- people volunteer
weakness: risk of unrepresentative sample- similar people with similar characteristics (e.g. confidence) are selected

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14
Q

What is snowball sampling?

A

Researcher asks (x) number of people to take part. Those people then recruit (x) more people to take part each, and so on

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15
Q

strength/ weakness of snowball sampling?

A

strength: easy to collect large samples quickly/ cost effectively
weakness: risk of unrepresentative sample- similar people may be selected

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16
Q

What is the independent measures experimental design?

A

Different participants take part in each condition of experiment (every participant is different every time)

17
Q

strengths/ weaknesses of independent measures experimental design?

A

strength: no problem with order effects (participants can’t ‘get better’ at task as they only take part in 1 condition
weakness: could be individual differences between participants which could effect results
solution- use matched pairs instead (very similar people)

18
Q

What is the repeated measures experimental design?

A

Same participant takes part in both conditions of experiment

19
Q

strengths/ weaknesses of repeated measures experimental design?

A

strength: no individual differences between participants
weakness: potential for order effects (they may ‘become better’ at the task)
solution- counterbalance (p1 does condition 1 first and condition 2 second, p2 does vice versa)

20
Q

What is the matched pairs experimental design?

A

Using different but similar participants in each condition (match by 1 characteristic e.g. age)

21
Q

strengths/ weaknesses of matched pairs experimental design?

A

strength: no order effects, individual characteristics are minimised
weakness: participant variables can’t always be matched perfectly
solution- use previously used matched pairs/ use identical twins

22
Q

What is the independent variable?

A

The variable that the researcher manipulates/ changed, creating conditions/ groups
It affects the dependent variable (e.g. listening to music vs not listening to music while trying to focus)

23
Q

What is the dependent variable?

A

The variable that is measured
It is effected by changes in the independent variable (e.g. a list of 50)- this would also make a statement testable/ operational

24
Q

Why should a researcher have control over extraneous variables?

A

Variables that must be controlled, otherwise they’ll confound the results and affect the DV
3 types: participant, situational, experimenter bias= people involved, environment, views of experimenter

25
Q

What is time sampling?

A

Time observing is split up into intervals- e.g. every 30 seconds at each time interval (30 secs, 60 secs, 90 sec)

26
Q

strengths/ weaknesses of time sampling?

A

strength: allows observation over greater time period (no need to stay focused for so long), quantitative data
weakness: some behaviours will be missed outside of the intervals- may not be representative

27
Q

What is event sampling?

A

Behaviours are recorded as and when they happen- every time it is seen
There is no specific time to record

28
Q

strengths/ weaknesses of event sampling?

A

strength: behaviours less likely to be missed- full insight to duration, quantitative data
weakness: if more than one behaviour occurs at one time, some may be missed

29
Q

What are open questions?

A

Respondents give own, explained answers

30
Q

strengths/ weaknesses of open questions?

A

strength: qualitative data, high validity (if answers are honest), qualitative depth+ quantitative trends= can explain WHY
weakness: difficult to analyse and compare

31
Q

What are closed questions?

A

Provide limited choices of answer (yes/no, different choices, rankings, ratings etc)

32
Q

strengths/ weaknesses of closed questions?

A

strength: quantitative data (objective), high reliability
weakness: ‘best fit’ options may be chosen as appropriate response is not listed, lacks qualitative insights

33
Q

What is a rating scale?

A

A numerical scale that indicates the strength of a measure (used to assign scores)
2 types: Likert scale, semantic differentials rating scale

34
Q

strengths/weaknesses of a rating scale?

A

strength: used for testing validity of many objective instruments
weakness: people differ in ability/ confidence to make ratings

35
Q

What is a Likert scale?

A

5-7 point scale that allows people to express how much they agree with a statement
(e.g. rate your school in general
very good. good, okay, bad, very bad)

36
Q

strengths/weaknesses of Likert scales?

A

strengths: it’s a universal method (easily understood), quantitative data
weakness: validity can be made vulnerable by the risk of social desirability

37
Q

What is a semantic differentials rating scale?

A

A rating scale to distinguish between two extremes
(e.g. Rate how you view yourself
unorganised — organised)

38
Q

strengths/ weaknesses of semantic differential rating scales?

A

strength: easy to administer (understandable to respondent), high validity
weakness: risk of social desirability (most common issue)