Planning + Conducting Research Flashcards

1
Q

what is a null hypothesis?

A

predict there will be no difference or relationship found between to variable and if there is it is due to chance.

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2
Q

What is an alternate hypothesis?

A

predicts there will be a difference or relationship between two variables.
“There will be a significant relationship between alcohol (10 units, water) and reaction times in seconds”

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3
Q

What is a one-tailed hypothesis?

A

Predicts the direction of what researchers think they might find.

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4
Q

what is a two-tailed hypothesis?

A

Predicts that there is going to be a difference though no sure to which direction.

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5
Q

What is random sampling?

A

every member of the target population has an equal chance of being selected.

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6
Q

strength of random sampling?

A

Most unbiased and representative as everyone has an equal chance of being selected and there is no influence of researcher bias. Means results from the sample are more likely to be representative of the target population and can be generalised to explain behaviour.

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7
Q

weakness of random sampling?

A

Difficult to access to everyone’s names and is very time consuming

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8
Q

what is opportunity sampling?

A

When people who are avaliable at the time of the study are approached and asked if they would like to take part

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9
Q

what is opportunity sampling?

A

When people who are avaliable at the time of the study are approached and asked if they would like to take part

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10
Q

strength of opportunity sampling?

A

Quick and convenient as participants are already readily avaliable.

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11
Q

weakness of opportunity sampling?

A

All participants are likely to be from the same place and is likely to be biased in terms of ethnicity and culture and so is unrepresentative of the target population as it would lack population validity.

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12
Q

what is self-selected sampling?

A

researcher will place an advertisement about the study and wait for participants to respond.

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13
Q

strength of self-selected sampling?

A

Quick and convenient way of obtaining participants as they volunteer themselves. Participants are more likely to be interested in the study and wish to take part and so are less likely to drop out.

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14
Q

weakness of self-selected sampling?

A

Could be a low response rate and could end with a small sample and so would be unrepresentative of the target population and so results are less generalisable to explain behaviours.

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15
Q

what is snowball sampling?

A

when a researcher recruited a participant who fits their target population to take part in their research. This participant is then asked to ask their friends if they want to take part.

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16
Q

strength of snowball sampling?

A

Convenient and cost affective.

17
Q

weakness of snowball sampling?

A

the researcher may struggle to find one participant needed for the snowball sample to start, likely to be biased as it will be unrepresentative of the target population.

18
Q

what is a repeated measures design?

A

All participants take part in all conditions of the IV and then their results from each condition are compared against themselves.

19
Q

strength of repeated measures?

A

Practical as less participants are needed as you don’t need to recruit separate groups.

20
Q

weakness of repeated measures?

A

Order effects and demand characteristics are more likely as participants complete all conditions and so could preform better on the final one due to practic or worse due to fatigue and boredom.

21
Q

what is independent measures design?

A

participants only take part in one condition of the IV and their results are compared to another participant who took part in the other condition.

22
Q

strength of independent measure design?

A

effective and avoids order affect and minimised demand characteristics as participants only take part in one of the conditions.

23
Q

weakness of independent measures?

A

Less practical as a separate group of participants is required for each condition of the IV and so is more time consuming. Also a chance of participant variable affecting the DV

24
Q

what is a matched pairs design?

A

Participant only takes part in one condition of the IV and their results are compared to another person who took the part in another condition who is matched with them.

25
Q

strength of matched pairs?

A

Affective as it avoids order effect and minimises demand characteristics as participants take part in only one condition of the IV. Also minimises the effect of participant variables.

26
Q

weakness of matched pairs?

A

Very time consuming to match up participants and it could be argued that it is not possible to fully match participants and so there will still be some effect of participant variables on the measurement of the DV

27
Q

what is an open-question?

A

allow participants to provide as much or little detail as they wish in response to a question.

28
Q

strength of open questions.

A

More likely to find out the reasons for behaviour and so in this way are more valid. participants are also less likely to become frustrated when answering questions. They are a more realistic type of question.

29
Q

weakness of open questions?

A

Difficult to analyse as qualitative data takes alot of subjective interpretation and so researcher bias may affect the validity of results

30
Q

what is a closed question?

A

allows participants to select from options that are pre-determined and so they produce quantitative data.

31
Q

strength of closed questions?

A

answers are easier to analyse and compare between participants as data collected is objective so researcher bias is less likely to affect the validity of results .

32
Q

weakness of closed questions?

A

data has a narrow range as it lacks the quality of open ended data as participants are restricted to a number of pre-determined options, participants may be forced into an option.

33
Q

what is a questionnaire?

A

set of questions about a topic under investigation.

34
Q

strength of questionnaire?

A

effective and convenient at collecting large amounts of data relatively quickly, usually produce quantitative data so results are easier to analyse and compare between participants as it is objective and so less likely to be affected by researcher bias.

35
Q

weakness of questionnaire?

A

participants may give socialy desirable answers and so data is not representative of what they actually think and so is invalid