Research Methods: Non - Experimental Methods Flashcards

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1
Q

Types of Observations: Define Controlled Observation

A

-Conditions are manipulated by researcher.
-Observation may be carried out in laboratory environment (artificial) e.g. Ainsworth’s study.

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2
Q

Types of Observations: Controlled Observation Strength

A

P: High in reliability.
E: Environment is controlled and standardised (e.g. time)
E: Observation can be easily repeated to check for consistent results.
L: Controlled observation will gain more respect from professionals and members of public.

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3
Q

Types of Observations: Controlled Observation Weakness: Eco Val

A

P: Low eco val
E: Controlled/ artificial setting.
E: Difficult to generalise results beyond setting of observation.
L: Lowers external val of research.

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4
Q

Types of Observations: Controlled Observation Weakness: Demand Characteristics

A

P: Prone to demand characteristics.
E: Ppts know they’re being watched.
E: Change natural behaviour to either help/ hinder the research based on clues given.
L: Lowers internal val.

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5
Q

Types of Observations: Define Naturalistic Observation

A

-Watching natural behaviour in natural environment for ppt where target behaviour would normally occur.
-No manipulation of variables e.g. bullying in a playground.

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6
Q

Types of Observations: Naturalistic Observation Strength: Demand Characteristics

A

P: Less prone to demand characteristics.
E: People less likely to know they’re being watched.
E: Unlikely to change natural behaviour to either help/ hinder the research.
L: Increases internal val of observation.

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7
Q

Types of Observations: Naturalistic Observation Strength: Eco Val

A

P: High eco val.
E: Observation takes place in a natural setting.
E: Easier to generalise the results beyond the setting of observation to other similar settings.
L: Increases internal val of research

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8
Q

Types of Observations: Naturalistic Observation Weakness: Reliability

A

P: Low reliability
E: Observed in natural environment.
E: Natural environment isn’t controlled
L: Difficult to replicate observation in exact same conditions to achieve consistent results.

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9
Q

Types of Observations: Naturalistic Observation Weakness: Ethical issues

A

P: Ethical issue of lack of informed consent.
E: People may not be aware they’re being observed due to being observed in natural setting.
E: Not given consent to take part.
L: Become aware may wish to withdraw data from study.

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10
Q

Types of Observations: Define Overt Observation

A

-Ppts aware behaviour’s being observed, so they’re aware of the purpose of the research.
-Observer’s clearly visible to ppts.

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11
Q

Types of Observations: Overt Observation Strength: Ethics

A

P: More ethically appropriate than covert observation.
E: Ppts know they’re being observed.
E: Refer to scenario, how do they know they’re being observed?
L: Ppts can give consent for data to be used.

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12
Q

Types of Observations: Overt Observation Weakness: Demand Characteristics

A

P: Prone to demand characteristics.
E: Ppts know they’re being watched.
E: Change natural behaviour to either help/ hinder the research based on clues given.
L: Lowers internal val.

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13
Q

Types of Observations: Define Covert Observation

A

-Observations conducted without knowledge ore awareness of ppts.
-Can be done through observer being hidden, use of secret cameras, or from behind a two-way mirror.
-Observer may become part of a group to observe behaviour, hide the fact they’re doing research.

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14
Q

Types of Observations: Covert Observation Strength: Demand Characteristics

A

P: Less prone to demand characteristics.
E: People less likely to know they’re being watched.
E: Unlikely to change natural behaviour to either help/ hinder the research.
L: Increases internal val of observation.

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15
Q

Types of Observations: Covert Observation Limitation: Ethical Issue

A

P: Ppts unaware they’re being studied.
E: How do you know? What makes the research covert?
E: Raises ethical issues e.g. lack of informed consent and invasion of privacy would need to be resolved.
L: Ppts are informed they may become upset and wish to withdraw from the data

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16
Q

Types of Observations: Define Participant Observation

A

-Researcher’s involved with the group.
-Data’s collected whilst being part of the group e.g. joining a club/ team

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17
Q

Types of Observations: Participant Observation Strength: Gain In-Depth Understanding

A

P: Observer can gain an in-depth understanding of groups behaviour as they’re part of the group.
E: What group are they in?
E: The observer won’t miss important aspects e.g. feelings and motivations.
L: Increases overall internal val of observation

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18
Q

Types of Observations: Participant Observation Weakness: Researcher Bias

A

P: Increased chance of researcher bias.
E: Observer’s part of the group.
E: How is researcher part of the group.
L: Decreases objectivity of observation as researcher’s own thoughts/ behaviours may impact the observation and therefore lower the internal val of the research.

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19
Q

Types of Observations: Define Non - Participant Observation

A

-Researcher’s not involved with the group
-Data collected from a distance e.g. through a video camera.

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20
Q

Types of Observations: Non - Participant Observation Strength: Reduced Researcher Bias

A

P: Reduced chance of researcher bias.
E: Observer’s part of the group.
E: How is researcher part of the group.
L: Increases objectivity of observation as researcher’s own thoughts/ behaviours are less likely to impact the observation and therefore increases the internal val of the research.

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21
Q

Types of Observations: Non - Participant Observation Weakness: Less Likely Understanding

A

P: Observer less likely to gain an in-depth understanding of groups behaviour as they’re not part of the group.
E: How do you know?
E: The observer may miss important aspects e.g. feelings and motivations.
L: Decreases overall internal val of observation

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22
Q

What Are Behaviour Categories?

A

-Decided on what type of observation to use, need to create operationalised behaviour categories.
-This means to be specific about what you’re observing.
-Makes behaviour more measurable.

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23
Q

Why Are Behaviour Categories Used?

A

-Provides clear focus for observation- observers aware of what exact behaviours they’re looking for.
-More valid research recorded and behaviour observed is less prone to bias.
-Allows observers to tally behaviour in groups, results can be compared to check for consistency to see if observation’s reliable.
-Behaviour categories provides data that’s easier to analyse, provides quantitative/ numerical data through tallies.

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24
Q

Why Is Behaviour Sampling in Observations Used?

A

-Once behaviour categories are created the researcher then decides how they’ll sample the behaviour.
-Psychologist needs to decide when and how often to record behaviour.
-Two ways to do this: event and time sampling.

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25
Q

Behaviour Sampling: Define Event Sampling

A

-Observer decides on specific events (behaviour categories) relevant to the investigation.
-Relevant events (behaviour categories are recorded each time they happen within set time period.
e.g. observing aggression levels at a football match, tallying every time there’s aggression within full time period.

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26
Q

Behaviour Sampling: Event Sampling Strength

A

P: Useful when behaviour happens infrequently.
E: Ppts watched over period of time and behaviour category’s recorded every time it occurs.
E: Researchers less likely to miss behaviours.
L: Unlike time sampling, if behaviour happens infrequently it may be missed.

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27
Q

Behaviour Sampling: Event Sampling Weakness

A

-If behaviour being observed happens very often observer may miss some behaviours as they can’t tally in time.
-Unlike time sampling, where researcher only tallies at set time intervals and may be less likely to miss this behaviour.

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28
Q

Behaviour Sampling: Define Time Sampling

A

Tallying behaviours in a set time interval e.g. every two minutes.

29
Q

Behaviour Sampling: Time Sampling Strength

A

-Reduces amount of time the observers have to observe behaviours for, only observe in set time intervals.
-HOWEVER, only observing at set time intervals the behaviour’s tallied may not be representative of observation as a whole.

30
Q

What is Reliability?

A

Reliability refers to the ability to repeat a study in similar conditions to gain consistent results.

31
Q

Assessing Reliability of Observations: Inter-Observer Reliability

A

1) Reliability of observation can be checked by using two observers.
2) Two observers would create and be trained on how to use behaviour categories.
3) Two observers would conduct observation separately, what exact same behaviour for same amount of time, independently record observations.
4) Tallies from two observers should be compared and correlated using appropriate stats test.
5) Strong positive correlation of +0.8 shows high reliability.

32
Q

What’s involved in a Self Report?

A
  • Ppts give info to the researcher to provide details on thoughts/ feelings/ behaviour.
  • Involves ppts responding to questions in a questionnaire or interview.
  • Questions in the questionnaire can be open or closed questions.
  • Questions in interview can be structured or unstructured.
33
Q

What is a Questionnaire?

A
  • They form part of surveys, involves asking a large sample of people for info on a specific topic.
  • Involves a pre-set list of written questions which the ppt responds to.
  • Purpose of surveys is to get a good representation of the target population using large sample - making it able to generalise to rest of target population.
34
Q

AO3 Questionnaires: Strength: Investigator Effects

A

P: Reduce investigator effects.
E: Researcher doesn’t have to be present whilst ppts complete the questionnaire.
E: Researcher’s response to ppts answer’s not visible and characteristics won’t influence the ppts answers.
L: Unlike an interview, researcher has to be present, increases internal validity of a questionnaire.

35
Q

AO3 Questionnaires: Strength: Large Quantity of People

A

P: Can be given to a large quantity of people.
E: Researcher doesn’t have to be present when ppts complete the questionnaire.
E: Increases generalisability of findings.
L: Unlike an interview, researcher must be present, limiting amount of people research can be conducted on, increasing external val of research.

36
Q

AO3 Questionnaires: Weakness: Social Desirability Bias

A

P: Could lead to social desirability bias.
E: People may lie to present themselves in best possible light e.g. mother lying about child’s aggression levels.
E: Lowering internal val of the research.
L: Unlike an interview, researcher is present, takes place face to face which may reduce ppts social desirability bias responses, may find it more difficult to lie face to face.

37
Q

AO3 Questionnaires: Weakness: Misinterpretation of Questions

A

P: Further weakness is misinterpretation of questions.
E: e.g. ppt may not understand question and researcher’s not present, can’t ask for clarification meaning they could leave the question or give invalid information.
E: Researcher could misinterpret/ not understand ppts answer and again can’t ask for clarification, lowering internal val.
L: Unlike interview, researcher is present so the ppt/ researcher can ask for clarification, increasing internal val.

38
Q

Types of Questions in Questionnaires: Open Questions

A

-Questions ppts can answer using their own words.
-Can express views of their own behaviour and responses tend to include greater detail.
-Often gains qualitative data (non-numerical).

39
Q

Types of Questions in Questionnaires: Closed Questions

A

-Questions that mean ppts responses are fixed e.g. ‘yes’ or ‘no.’
–Often gains quantitative dat (numerical).

40
Q

Open Questions/ Qualitative Data: Strength

A

-Provides in-depth, detailed data which provides greater understanding of behaviour in question.

41
Q

Open Questions/ Qualitative Data: Weakness

A

-Open to researcher bias as ppts responses will be open to subjective interpretation of researcher.

42
Q

Closed Questions/ Quantitative Data: Strength

A

-Easier to analyse and collate data allowing comparisons to be made between groups of people, enabling conclusions to be made about behaviour.

43
Q

Closed Questions/ Quantitative Data: Weakness

A

-Lacks in depth and insight into behaviour in question, therefore answers could lack validity.

44
Q

Designing Questionnaires

A

-Decide on type of data you want (e.g. qualitative/ quantitative).
-Decide on type of questions (e.g. open or closed- closed questions will be easy to understand and will be a fixed option scale).
- Questions:
Open questions start with ‘Describe/ Explain…’
Closed questions start with ‘How often…’
-Include distractor questions so ppts don’t pick up on clues and change behaviour (demand characteristics).
-Decide on order of questions, put easier questions first, put ppts at ease.
-Carry out pilot study to identify/ resolve problems with questionnaire.

45
Q

What is an Interview?

A

A method for asking questions, in a face to face nature, sometimes it can be over the phone or computer e.g. Skype.
Good for gathering detailed information.
Two types of interviews are structured and unstructured.

46
Q

What is a Structured Interview?

A

-All questions are pre-set before interviews are carried out.
-Less likely to deviate from topic.
-Every interviewee will be asked the same questions in exactly the same order.
-Interviewer can’t ask any extra questions based on info provided by ppt.

47
Q

AO3: Structured Interview: Strength

A

P: All ppts get same questions.
E: Easier to compare responses and identify trends and patterns more easily.
E: Refer to behaviour being studied from scenario.
L: Unlike unstructured interview where ppts get different questions, therefore it’s hard to make comparisons.

48
Q

AO3: Structured Interview: Weakness

A

P: Researcher cannot deviate from pre-set questions.
E: Cannot follow up on new lines of enquiry.
E: Don’t get full understanding of behaviour.
L: Unlike unstructured interview, questions can be developed based on responses from previous questions.

49
Q

What is an Unstructured Interview?

A

-May contain topic area for discussion, but no set questions so each interviewee gets different questions.
-Questions based on responses of interviewee, interviewer can discuss interesting points made my interviewee.
-Questions asked more likely to be open questions.

50
Q

AO3: Unstructured Interview: Strength

A

P: Researcher allows person to go into more depth with their responses.
E: Questions are based on responses of interviewer.
E: Can gain better understanding of ppts behaviour.
L: Unlike structured interview where ppts only answer set list of questions where there’s no deviation, increasing internal val of unstructured interview.

51
Q

AO3: Unstructured Interview: Weakness

A

P: More difficult to replicate unstructured interview.
E: Each ppt asked different questions based on responses.
E: Unlike structured interview, has a standardised set of questions that can be repeated at any time.
L: Lowers reliability of unstructured interview.

52
Q

AO3: Interviews: Time Consuming and Expensive

A

P: More time consuming and expensive.
E: Questions are asked face to face, requires a 1:1 with the researcher.
E: Unlike a questionnaire, less time consuming and expensive.
L: Can be given to lots of ppts to complete and doesn’t take as much time, researcher doesn’t need to be present.

53
Q

AO3: Interviews: Investigator Effects

A

P: Prone to investigator effects.
E: Researcher needs to be present.
E: Researchers behaviours/ appearance may influence the ppts to respond in a certain way, effecting outcome of study and lowering the internal val.
L: Unlike a questionnaire, researcher doesn’t need to be present, less prone to investigator effects.

54
Q

AO3: Interviews: Clarification

A

P: Researcher present during interview..
E: Ppts can ask for clarification if they don’t understand a question, vice versa.
E: Improving internal val of research.
L: Unlike a questionnaire where researcher’s not present, clarification can’t be established, lowering internal val.

55
Q

How to Design an Interview

A

-Will interview be structured or unstructured.
-Choice of open/ closed questions.
-Decide on interviewers appearance, same for all ppts to reduce the chance of investigator effects (researcher’s behaviour or appearance intentionally/ unintentionally affects behaviour of ppts and outcome of study).
-Will interview be recorded or will interviewer make notes? (Recorded, avoid missing important information/ ppt feeling anxious).
-Include additional interviewer to increase inter-rater reliability? Interviewers record separately and compare results at end of the interview.
-Conduct a pilot study to ensure problems with wording of questions are identified and resolved before the final study.

56
Q

Define Investigator Effects

A

When researcher’s behaviour/ characteristics either consciously/ unconsciously influence the outcome of the research.
e.g. the researcher’s gender/ tone of voice may influence how ppt responds in self report.

57
Q

Control for Investigator Effects

A

-Train experimenters to use a neutral tone of voice in the way they greet ppts/ ask questions.
-Ensure researcher’s same gender as ppts.
-Provide standardised script for researchers to use so they’re giving instructions/ asking questions in the same way.
-If researcher’s aware of aims of the study , get another interviewer to conduct self report who’s unaware of the aims (Double Blind)
-Above will avoid change in ppt’s behaviour and a bias response from ppts.

58
Q

How might Researchers Presence Effect the Ppts Response in a Questionnaire?

A

-Researcher may be smiling more/ have happier tone of voice when giving instructions to one group compared to another, may mean ppts rate mood more positively.

59
Q

Reliability of Self-Reports: Questionnaires

A

High reliability- can be repeated to check for consistent results.

60
Q

Reliability of Self-Reports: Unstructured Interview

A

Low reliability- ppts get different questions, difficult to repeat.

61
Q

AO3: Correlational Analysis: Strength: No Manipulation of Variables

A

P: No manipulation of variables
E: Appropriate to use when studying sensitive issues that may raise ethical issues/ when it would be inappropriate to manipulate a situation.
E: Contextualise- what’s unethical to manipulate in your scenario?
L: Whereas in an experiment it would be impractical and unethical to investigate cause and effect.

62
Q

AO3: Correlational Analysis: Strength: Starting Point

A

P: Correlations often used as starting point to assess possible patterns.
E: If relationship’s found between two variables could be suggested we can predict one variable may impact on the other.
E: May aid further experimental research into topic
L: Or could save time/ money if no relationship’s found before researchers commit to experimental study.

63
Q

AO3: Correlational Analysis: Limitation: Difficult to Establish Cause and Effect

A

P:Difficult to establish cause and effect between two variables.
E: Only a relationship’s found between two variables (contextualise- which variables are being investigated).
E: Therefore other intervening variables could be responsible for relationship found (contextualise)
L: Lowers internal val

64
Q

AO3: Correlational Analysis: Limitation: Correlations can be Misinterpreted

A
  • Correlations can be misinterpreted by the media and society when links found between variables.
  • Some may assume conclusion can be made about causes for relationship.
  • Can be misused by public to support/ contradict an argument.
65
Q

AO1: Define Case Study?

A
  • In-depth study conducted into one group/ person. Can be over long period of time, often used alongside other techniques e.g. interviews/ questionnaires which produce in-depth qualitative data.

-Case studies may involve gathering data from individual being studied but also from family and friends of individual as well.

-can also use experiments and psychological testing producing quantitative data alongside qualitative data gathered.

66
Q

AO3: Case Study Strength: Detailed

A

Gather rich, detailed insights into unusual forms of behaviour (context) that would otherwise be difficult to manipulate in experimental setting e.g. when investigating effects of memory loss. Increases our understanding of complex behaviour.

67
Q

AO3: Case Study Strength: Generate further hypotheses

A

Generate further hypotheses for future study as info found from single case study can lead to revision of entire theory- strength as it increases scientific process of inquiry.

68
Q

AO3: Case Study Weakness: Low Pop Val

A

Low pop val- only conducted on one person/ small group (contextualise to scenario- who’s individual/ small group being studied).
Difficult to generalise findings to target population (contextualise- who’s it difficult to generalise to and why?)
Lowers external validity.

69
Q

AO3: Case Study Weakness: Relies on Retrospective Data

A

Case studies often rely on retrospective data e.g. personal accounts from individuals past/ from family and friends.
Accounts may be prone to inaccuracy and promote memory decay.
Lowering internal validity of case study.