research methods Flashcards

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1
Q

independent variable?

A

the factor under investigation in an experiment which is manipulated to create two or more conditions (levels) and is expected to be responsible for changes in the dependent variable.

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2
Q

dependent variable

A

the factor in an experiment which is measured and is expected to change under the influence of the independent variable.

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3
Q

extraneous variable (pp q on this)

A

a variable which either acts randomly, affecting the DV in all levels of the IV or systematically,
i.e. on one level of the IV (called a confounding variable) so can obscure the effect of the IV, making the results difficult to interpret.
(like the weather or train delays in pilliavin)

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4
Q

experimental condition

A

one or more of the situations in an experiment which represent different levels of the IV and are compared (or compared to a control condition).

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5
Q

control condition

A

a level of the IV in an experiment from which the IV is absent. It is compared to one or more experimental conditions.

  • For example, in a comparison of the effect of eating chocolate on paying attention, we might compare either the effect of eating one bar or two bars (two experimental conditions)
  • or the effect of eating one bar to no chocolate at all (one experimental and one control condition).
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6
Q

independent measures design

A

an experimental design in which a different group of participants is used for each level of the IV (condition).

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7
Q

repeated measures design

A

an experimental design in which each participant performs in every level of the IV.

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8
Q

matched pairs design

A

an experimental design in which participants are arranged into pairs. Each pair is similar in ways that are important to the study and one member of each pair performs in a different level of the IV.

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9
Q

strengths and weaknesses of independent measures design

A
  • different pps are used for each level of IV order effects
  • pps only see one level of the IV so reducing demand characteristics
  • random allocation to levels of IV can reduce the effects of individual differences
  • uses more pps than RMD so the study may be less ethical if pps are harmed or less effective if there is a small sample bc pps are hard to find
  • pp variables can distort the results of the study if there are important individual differences btwn pps in diff levels of the IV
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10
Q

repeated measures strengths and weaknesses

A
  • pp variables are unlikely to distort the effect of the IV as each pp does all levels
  • counterbalancing reduces effects of order effects
  • uses less pps than in IMD so is good when pps are hard to find or is pps are at risk
  • order effects could distort the outcomes of the study
  • as pps see the experimental task more than once they have a greater exposure to demand characteristics
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11
Q

matched pairs design strengths and weaknesses

A
  • pps only see one level of the IV reducing the effects of demand characteristics
  • pp variables are less likely to distort the effect of the IV than in the IMD as individual differences are matched
  • no order effects
  • the similarity btwn pairs is limited by the matching process, so the right criteria must be chosen in advance for this to be effective
  • availability of matching pairs may be limited, making the sample size small
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12
Q

demand characteristics

A

features of the experimental situation which give away the aims. They can cause participants to try to change their behaviour, e.g. to match their beliefs about what is supposed to happen, which reduces the validity of the study.

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13
Q

random allocation

A

a way to reduce the effect of confounding variables such as individual differences. Participants are put in each level of the IV such that each person has an equal chance of being in any condition.

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14
Q

participant variables

A

individual differences between participants (such as age, personality and intelligence) that could affect their behaviour in a study. They could hide or exaggerate differences between levels of the IV

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15
Q

order effects

A

practice and fatigue effects are the consequences of participating in a study more than once,
e.g. in a repeated measures design. They cause changes in performance between conditions that are not due to the IV, so can obscure the effect on the DV.

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16
Q

practice effect

A

a situation where participants’ performance improves because they experience the experimental task more than once, e.g. due to familiarity or learning the task.

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17
Q

fatigue effect

A

a situation where participants’ performance declines because they have experienced an experimental task more than once, e.g. due to boredom or tiredness.

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18
Q

counterbalancing

A

counterbalancing is used to overcome order effects in a repeated measures design. Each possible order of levels of the IV is performed by a different sub-group of participants. This can be described as an ABBA design, as half the participants do condition A then B, and half do B then A.

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19
Q

standardisation

A

keeping the procedure for each participant in an experiment (or interview) exactly the same to ensure that any differences between participants or conditions are due to the variables under investigation rather than differences in the way they were treated.

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20
Q

reliability

A

the extent to which a procedure, task or measure is consistent, for example that it would produce the same results with the same people on each occasion.

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21
Q

validity

A

the extent to which the researcher is testing what they claim to be testing.

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22
Q

describe Laboratory experiments

A

The participants are not in their usual environment for the behaviour they are performing, and there are strict controls over the situation.

  • use many controls
  • standardisation, which means that the procedure for each participant can be kept exactly the same.
  • Both controls and standardisation help to make the findings of the experiment reliable, that is the researchers would be more certain that the procedures and measures they are using are consistent.
  • Controlling variables also improves validity – how certain the researcher can be that they are testing what they claim to be testing.
  • By keeping the situation the same, the researcher can be more certain that any differences in the DV really are due to the differences between levels of the IV rather than due to any extraneous variables.
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23
Q

define what a lab exp is

A

a research method in which there is an IV, a DV and strict controls. It looks for a causal relationship and is conducted in a setting that is not in the usual environment for the participants with regard to the behaviour they are performing.

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24
Q

define field experiments

A

an investigation looking for a causal relationship in which an independent variable is manipulated and is expected to be responsible for changes in the dependent variable. It is conducted in the normal environment for the participants for the behaviour being investigated.

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25
Q

describe field experiments

A
  • It is a little harder to control variables and standardise procedures in a field experiment than a laboratory experiment.
  • Reliability and validity may therefore be lower.
  • However, validity might be improved because the participants are performing a task that seems normal in a familiar environment.
  • Another advantage, if the participants are unaware that they are in an experiment, is that there may be fewer demand characteristics than there would be in a laboratory experiment.
  • These are any features of the experiment that give away the aims and cause participants’ behaviour to change, for example to try to ‘make the experiment work’.
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26
Q

define generalisability

A

apply the findings of a study more widely, e.g. to other settings and populations.

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27
Q

define ecological validity

A

the extent to which the findings of research in one situation would generalise to other situations. This is influenced by whether the situation (e.g. a laboratory) represents the real world effectively and whether the task is relevant to real life (has mundane realism).

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28
Q

define Natural experiments

A

an investigation looking for a causal relationship in which the independent variable cannot be directly manipulated by the experimenter. Instead they study the effect of an existing difference or change. Since the researcher cannot manipulate the levels of the IV it is not a true experiment.

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29
Q

define an uncontrolled variable

A

a confounding variable that may not have been identified and eliminated in an experiment, which can confuse the results. It may be a feature of the participants or the situation.

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30
Q

strengths of a lab exp?

A
  • good control of extraneous variables , raising validity
  • casual rs can be determined
  • standardised proc can raise reliability and allow replication
31
Q

weaknesses of lab exp

A

the artificial situation could alter pps behaviour

pps could respond to demand characteristics and alter their behaviour

32
Q

strengths of a field experiment

A
  • results are representative as are pps in their normal sitation for the activity being studied they are likely to behave naturally
  • less demand characteristics if pps are unaware they are in a study compared to a lab exp
33
Q

weaknesses of field exp

A
  • lower reliability and making replication harder as control of extraneous variables is harder than in a lab
  • will be less sure that changes in the dv is caused by the changes in the iv than in a lab exp
  • ethical issues as pps may unaware
34
Q

strengths of natural exp

A

can be used to study real world issues

representative behaviour as pps are in their natural environment

less dc if they are unaware they are in a study

enable researchers to investigate variables that would not be practical or ethical to manipulate

35
Q

weaknesses of natural exps

A

only possible when differences arise naturally

control over extraneous variables is v difficult

less sure of cause and effect as researcher not manipulating the iv

hard to replicate as controls and standardisation are hard to implement so reliability will be low

36
Q

what are the ethics in experiments

A

privacy
confidentiality
right to withdraw
informed consent

37
Q

informed consent

A

knowing enough about a study to decide whether you want to agree to participate.
- However, it may be necessary to deceive them in order to avoid them working out the aim of the study and altering their behaviour, i.e. to reduce demand characteristics.

38
Q

right to withdraw

A

a participant should know that they can remove themselves, and their data, from the study at any time.

39
Q

confidentiality

A

participants’ results and personal information should be kept safely and not released to anyone outside the study.

40
Q

privacy:

A

participants’ emotions and physical space should not be invaded, for example they should not be observed in situations or places where they would not expect to be seen.

41
Q

define a self-report

A

a research method, such as a questionnaire or interview, which obtains data by asking participants to provide information about themselves.

42
Q

questionnaire

A

a research method that uses written questions

43
Q

open questions

A

questionnaire, interview or test items that produce qualitative data. Participants give full and detailed answers in their own words, i.e. no categories or choices are given.

44
Q

inter-rater reliability

A

the extent to which two researchers interpreting qualitative responses in a questionnaire (or interview) will produce the same records from the same raw data.

45
Q

social desirability bias

A

trying to present oneself in the best light by determining what a test is asking.

46
Q

filler questions

A

items put into a questionnaire, interview or test to disguise the aim of the study by hiding the important questions among irrelevant ones so that participants are less likely to alter their behaviour by working out the aims.

47
Q

strengths of questionnaires

A
  • Questionnaires using mainly closed questions are easier to analyse than interviews (using more open questions) as they can be used to produce totals of each category of answers so making it simple to summarise the findings
  • Also, possible to work out averages, which can help to describe the patterns in the results.
  • Where qualitative data is gathered from questionnaires, it produces more detailed, in-depth information.
48
Q

weaknesses of questionnaires

A
  • Answers to open questions must be interpreted, and this can lead to a lack of reliability as the researcher may not be consistent in their interpretation.
  • It is easy for participants to ignore them, which means the return rate may be very low.
  • people who do reply to a questionnaire may all be quite similar, for example have time to spend because they are unemployed or retired. This would mean all the people who filled out the questionnaire would be quite similar.
  • Another problem with questionnaires is that participants may lie. They may do this because they want to look more acceptable; this is called a social desirability bias
49
Q

define Interviews

A

a research method using verbal questions asked directly, e.g. face-to-face or on the telephone.

50
Q

whatre structured interview

A

an interview with questions in a fixed order which may be scripted. Consistency might also be required for the interviewer’s posture, voice, etc. so they are standardised.

51
Q

unstructured interview

A

an interview in which most questions (after the first one) depend on the respondent’s answers. A list of topics may be given to the interviewer.

52
Q

semi-structured interview

A

an interview with a fixed list of open and closed questions. The interviewer can add more questions if necessary.

53
Q

weaknesses of interviews

A
  • may lie either because they want to seem more acceptable (a social desirability bias) or because they think they know the aim of the study,
  • often time consuming and this can be a problem if it restricts the types of participants who volunteer for the research because it would give a narrow representation of feelings, beliefs or experiences.
  • When interpreting participants’ responses to questions in an interview, researchers must be careful not to be subjective, that is, to produce findings which are based on a personal perspective. Instead, they should aim for objectivity, i.e. taking a view that is not led by one’s own feelings or beliefs. To achieve this, the interviewer may ask other researchers, who are experienced but unaware of the aims of their research, to interpret the findings.
54
Q

subjectivity

A

a personal viewpoint, which may be biased by one’s feelings, beliefs or experiences, so may differ between individual researchers. It is not independent of the situation.

55
Q

objectivity

A

an unbiased external viewpoint that is not affected by an individual’s feelings, beliefs or experiences, so should be consistent between different researchers

56
Q

define Case studies

A

A case study is a detailed investigation of a single instance, usually just one person, although it could, for example, be a single family or institution.

57
Q

strengths of case studies

A

-case studies are highly valid, as the individual is explored in great depth and within a genuine context such as their work or family. Validity may be improved further using triangulation.

-One way that the validity can be improved is though triangulation, where different methods are used within the case study to obtain the same information: for example, finding out about the participant’s behaviour by observing them, interviewing them and asking their relatives to fill out a questionnaire.
If the same results are obtained by all the methods, this suggests that the results are valid.

58
Q

weaknesses of case studies

A

-researcher bias- one potential problem is the development of a close relationship with the researcher. This may make the researcher subjective in their outlook, which would reduce the validity of the study (researcher bias)
- The level of detail can also be an ethical threat, as the questions asked may intrude into the participant’s private life and they may feel unable to refuse to answer them.
- Reliability is also an issue, as there is a single participant and perhaps one or only a few researchers. This, and their involvement with the case, means that they may find it hard to be objective, that is to take an external, unbiased view of the findings,
for example when they interpret what the participant has said. This means that the findings may be limited to only this case, or to very few others.

59
Q

Observations

A

involve watching human or animal participants.

60
Q

naturalistic observation

A

a study conducted by watching the participants’ behaviour in their normal environment without interference from the researchers in either the social or physical environment.

61
Q

controlled observation

A

a study conducted by watching the participants’ behaviour in a situation in which the social or physical environment has been manipulated by the researchers. It can be conducted in either the participants’ normal environment or in an artificial situation.

62
Q

unstructured observation

A

a study in which the observer records the whole range of possible behaviours, which is usually confined to a pilot stage at the beginning of a study to refine the behavioural categories to be observed.

63
Q

structured observation

A

a study in which the observer records only a limited range of behaviours

64
Q

behavioural categories:

A

the activities recorded in an observation. They should be operationalised (clearly defined) and should break a continuous stream of activity into discrete recordable events. They must be observable actions rather than inferred states.

65
Q

inter-observer reliability

A

the consistency between two researchers watching the same event, i.e. whether they will produce the same records.

66
Q

participant observer

A

a researcher who watches from the perspective of being part of the social setting.

67
Q

non-participant observer

A

a researcher who does not become involved in the situation being studied, e.g. by watching through one-way glass or by keeping apart from the social group of the participants.

68
Q

overt observer

A

the role of the observer is obvious to the participants.

69
Q

covert observer

A

the role of the observer is not obvious, e.g. because they are hidden or disguised

70
Q

strengths of observations

A
  • Naturalistic observations have the advantage that the behaviours seen are true to life. They are more likely to reflect the way the individuals really behave than if there is interference in the situation from researchers, as is the case in controlled observations.
  • The role played by the observer, and the participants’ awareness of this, affect validity. If participants are unaware of the observer, or can ignore them, their activities are more likely to reflect their normal behaviour. This means that covert observers would produce more valid results than overt ones.
71
Q

weaknesses of observations

A
  • in the case of covert participant observers there is an ethical issue of deception. The participants may interact with the observer in ways that they might have chosen not to if they had been aware that the individual was a researcher. This could invade their privacy and cause distress.
  • However, an overt observer is likely to alter the behaviour of the participants as they are aware that they are being watched. This would reduce the validity of the findings as the activities being recorded are less likely to reflect real-world behaviour.
72
Q

Correlations

A

a research method which looks for a causal relationship between two measured variables. A change in one variable is related to a change in the other (although these changes cannot be assumed to be causal)

73
Q

positive correlation

A

a relationship between two variables in which an increase in one accompanies an increase in the other, i.e. the two variables increase together.

74
Q

negative correlation

A

a relationship between two variables in which an increase in one accompanies a decrease in the other, i.e. higher scores on one variable correspond with lower scores on the other.