Basics Flashcards

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1
Q

What is quantitative data? Give a strength and weakness of collecting quantitative data.

A

Quantitative data is numerical data
Strengths- easier to analyse as statistics so averages can be calculated, allows comparisons to be made
Weaknesses- no reasons behind answers, no detailed understanding of behaviour which reduces validity.

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2
Q

What is qualitative data? Give a strength and weakness of collecting qualitative data.

A

Qualitative data is non-numerical data
Strengths- participants can provide rich, detailed answers, allows understanding for reasons behind behaviour.
Weaknesses- more difficult to analyse such as calculating statistics, comparisons can’t be made.

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3
Q

What is primary data? Give a strength and weakness.

A

Primary data is collected directly by the researcher(first hand).
Strengths- can ensure data is valid, if they did this themselves they should be able to easily replicate(increases reliability)
Weaknesses- time-consuming, expensive

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4
Q

What is secondary data? Give a strength and weakness.

A

Secondary data is collected by by someone else then used by the researcher(second hand).
Strengths- saves time, saves money
Weaknesses- may not exactly fit needs of researcher, not always reliable(could be out of date)

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5
Q

What are the ethical guidelines for respect? Briefly explain them.

A

Informed consent- telling your participants what they are taking part in, letting them know any risks and getting their consent, could be verbal or written down.
Confidentiality- your results are used not names, kept anonymous.
Withdrawal- tell you participants that they can withdraw(leave) at any time and even withdraw their results when the study is finished.

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6
Q

What are the ethical guidelines for responsibility? Briefly explain them.

A

Protection of participants/from harm- not harming your participants in anyway (mentally, physically etc)
Debriefing- after research is complete tell your participants what they just took part in(true nature of study, they can withdraw their data etc)

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7
Q

What are the ethical guidelines for integrity? Briefly explain them.

A

Deception- telling your participants you are researching something when you are actually researching something else.

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8
Q

What are the ethical guidelines for competence? Briefly explain them.

A

Awareness of professional ethics- must work within their own capabilities.

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9
Q

What is random sampling? Give a strength and weakness.

A

Every member of the target population has a equal chance of being selected eg: gathering everyone’s name and putting them into a hat and randomly selecting people.
Strength- really representative and you get different people taking part.
Weakness- difficult to get access to names.

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10
Q

What is opportunity sampling? Give a strength and weakness.

A

Opportunity sampling is anyone who is available and agrees to take part can become a participant.
Strength- easy to do, quick and convenient.
Weakness- some people could say no, may not exactly get who you need.

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11
Q

What is self selected/volunteer sampling? Give a strength and weakness.

A

It’s where people chose to take part, for example responding to an advertisement.
Strength- people’s chose to take part so less likely to withdraw, quick and convenient.
Weakness- might not get a lot of people, only getting outspoken people.

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12
Q

What is snowball sampling? Give a strength and weakness.

A

It’s where the researcher finds a couple of participants who fit the target population and asks them to find other participants.
Strength- other people find participants for you.
Weakness- could all have similar results, biased results(not representative).

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13
Q

What is an independent variable?

A

What the experimenter manipulates and is assumed to have a direct effect on the dependent variable.

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14
Q

What is a dependent variable?

A

What the experimenter measures after making changes to the IV.

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15
Q

What are extraneous variables? Name the three types and give examples of each.

A

EV’s are other variables apart from the IV that affect the DV. The three types are participant, situational and researcher.
Participant- tiredness, age, food and drink intake, personality, order effects, demand characteristics.
Situational- temperature of room, time of day, noise levels, order effects, demand characteristics.
Researcher- tone of voice, body language, personality, bias, demand characteristics.

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16
Q

What is an experimental/alternate hypothesis? Explain one-tailed and two-tailed hypotheses as well.

A

This is predicting a difference between the two or more conditions can either be one-tailed or two-tailed.
One-tailed- Predicting there will be a difference between the conditions and what the difference will be.
Two-tailed- Only predicting there will be a difference between the conditions.

17
Q

What is a null hypothesis?

A

This is predicting there will be no difference between the conditions or any difference found is due to chance.

18
Q

What is a lab experiment? Give a strength and weakness.

A

It’s is a highly controlled setting where the researcher can control the variables(manipulate the IV).
Strength- high control means it has high reliability, cause and effect relationship established.
Weakness- lacks ecological validity, ethical concerns, high chance of demand characteristics.

19
Q

What is a field experiment? Give a strength and weakness.

A

It’s conducted in a natural environment, still manipulating the IV but participants are less likely to know they are in an experiment.
Strength- greater ecological validity, less demand characteristics.
Weakness- low reliability, ethical issues, difficult to control EV’s.

20
Q

What is a quasi experiment? Give a strength and weakness.

A

It’s where the IV isn’t being manipulated, it’s naturally occurring.
Strength- greater ecological validity
Weakness- no control over IV, impossible to replicate(low reliability)

21
Q

What is independent measures design? Give a strength and weakness.

A

It’s where there are different participants in each condition, they only take part in that one condition. Therefore, the performance of different groups of people are being compared.
Strength- decreases demand characteristics, decreases order effects.
Weakness- large sample needed, time-consuming, large amount of participant variables which decrease validity of results.

22
Q

What is repeated measures design? Give a strength and weakness.

A

It’s where all the participants take part in each condition of the experiment. Therefore, you are comparing each participants performance in one condition with their performance in the other.
Strength- smaller sample size, get rid of participant variables(it’s the same people)
Weakness- increases demand characteristics, increases order effects.

23
Q

What is matched pairs design? Give a strength and weakness.

A

It’s where two separate groups but each participant in one group is matched on certain characteristics as a participant in the other group.
Strength- avoiding demand characteristics, reduces participant variables
Weakness- time-consuming, if one participant drops out you lose two, very difficult to match exactly.