AS Lessons 06 - 10 Flashcards

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1
Q

Target population

A

The group who researchers are studying and want to generalise their results to

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2
Q

Sample

A

A sample should be representative of the population from which it is drawn and should therefore have the same characteristics as the population

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3
Q

Random Sampling

A

When every member of the target population has the same chances of being selected. The best way is to place all names in a hat and select the sample

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4
Q

Evaluation of Random Sampling

A

+ If the target population is large and a large sample is drawn, then it is likely that the sample will be representative and therefore the results can be generalised
+ No researcher bias - the sample has been chosen by chance without any conscious choice
- Sometimes difficult to get full details of a target population (e.g. not possible to get the names of all women aged 20-30)
- Not all members of the target population who are selected are available or willing to take part, making the sample unreliable

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5
Q

Systematic Sampling

A

A sampling strategy where participants are selected by taking every Nth person from a list. For example, make a list of the total population and then select every 6th person to take part

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6
Q

Evaluation of Systematic Sampling

A

+ Far more simple than random sampling as it only requires a list, and then the researcher decides every Nth person. Random sampling requires more time and effort (put the names in a hat etc.)
- Process of selection can interact with a hidden periodic trait. If they do coincide, the sampling technique will no longer be random
- Not all selected participants will be available or willing to take part, making the sample unrepresentative

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7
Q

Stratified Sampling

A

Involves classifying the population into categories and then randomly choosing a sample which consists of participants from each category in the same proportions that they are in the population. The population are divided into ‘strata’ in terms of characteristics (e.g. age, gender etc.). A sample is then chosen that reflects these characteristics (e.g. 51% female, 49% male)
Stratified samples ensure the sample is representative

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8
Q

Evaluation of Stratified Sampling

A

+ All groups within a population are included, so the sample is representative of the population
- Can be very time consuming as the categories have to be identified and calculated. If you do not have details of all the people, you would struggle to conduct a stratified sample

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9
Q

Opportunity Sampling

A

AKA convenience sampling
Involves selecting participants who are readily available and willing to take part. Psychologists may have easy access to a group of people, so it would be convenient to ask them to take part

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10
Q

Evaluation of Opportunity Sampling

A

+ Easiest and most practical method of ensuring large samples especially when compared to stratified sampling, which is time consuming and expense
- High chance that the sample will not be representative of the target population. Sometimes people feel obliged to take part (especially when a friend asks them to), even if they do not want to, making it unethical

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11
Q

Volunteer Sampling

A

Involves people volunteering to participate. The researcher will usually ask people to take part, possibly through advertisement (leaflets, posters, radio or TV broadcasts). These forms of communication means that people take notice of the information and then decide if they want to take part

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12
Q

Evaluation of Volunteer Sampling

A

+ Saves the researcher time and effort. The researcher needs to construct an advertisement for the study, and then just needs to wait. This is better than other sampling methods where the researcher needs to ask people to take part and needs their full commitment
- A certain type of person tends to volunteer (enthusiastic, interested in the topic etc.), which means that there is a high chance of the sample being unrepresentative and it will not accurately reflect the target population (volunteer bias)

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13
Q

Pilot Studies

A

An initial run-through of the procedures. It involves selecting a few people and trying the study out on them. It saves time and possibly money, by identifying flaws early on. It can help identify any ambiguities or confusion. Sometimes the task is too hard and the researcher may get a floor effect, because none of the participants can complete the task. The opposite is a ceiling effect, where the task is too easy and full marks are achieved a lot.

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14
Q

Evaluation of Pilot Studies

A

+ A chance to make modifications and amendments
+ Good in the long run as it saves time and money
- Can be time consuming
- As it is small scale, the results may be unrepresentative
- The sample cannot be repeated - these people cannot take part again

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15
Q

Experimental Designs

A

How participants are organised within an experiment

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16
Q

Types of Experimental Designs

A

Independent groups
Repeated measures
Matched pairs

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17
Q

Experimental Condition

A

Involves a group of people who are exposed to the independent variable

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18
Q

Control condition

A

This group receives no treatment and are used as a base line to compare results

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19
Q

Randomisation

A

The use of chance in order to control for the effects of bias when deciding the order of conditions.
Example: putting words in a random order to make sure a list of words is not too easy or too hard

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20
Q

Standardisation

A

Using exactly the same formalised procedures and instructions for all participants - this improves the reliability of the study (the ability to repeat and get the same findings)

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21
Q

Random allocation

A

An attempt to control for participant variables in an independent groups design which ensures that each participant has the same chance of being in one condition or the other

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22
Q

Independent Groups Design

A

Different participants are used in each condition, therefore the groups are independent from one another. Participants are randomly allocated to each condition

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23
Q

Evaluation of Independent Groups Design

A

+ Order effects (when the sequence in which the participants take part in conditions influence their performance) will not occur as there are different participants. For example, in a memory test, participants may get better with practice.
+ The chance of demand characteristics is reduced as there are different participants for each condition. There is a lower chance of them guessing the aim
+ Participants are not lost between conditions as they only take part in one condition. In a repeated measures design, participants are used for two conditions, so there is a higher chance of participants leaving (being lost)
- More participants are needed compared to a repeated measures design.
- There is a chance that the different results gained are due to individual differences rather than manipulation of the IV, because two separate groups are used

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24
Q

Repeated Measures Design

A

Each participant is tested in all conditions

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25
Q

Evaluation of Repeated Measures Design

A

+ There are no individual differences, so the study is more valid as we are really only measuring the effect of the IV on the DV
+ Half as many participants are needed compared to an independent groups design
- Order effects may affect the results. One way to avoid this is counterbalancing (when half of the participants do condition A then condition B, and the other half do condition B then condition A)
- Demand characteristics are more likely - the same participants are used, so it is more likely for them to guess the aim of the study, which would affect their behaviour and the data collected

26
Q

Matched Pairs Design

A

Different participants are used in all of the conditions
Participants in the two groups are matched on characteristics important to the study (e.g. age, gender, level of education etc.). Identical twins are often used

27
Q

Evaluation of Matched Pairs Design

A

+ Less risk of order effects as participants only take part in one condition (compared to repeated measures design)
+ Individual characteristics are less likely to occur as groups have been closely matched on specific characteristics (less likely to occur compared to independent groups design)
- Twice as many participants are required compared to a repeated measures design. It can be problematic in order to locate and use enough people to take part in the study
- Matching process is incredibly difficult and time consuming. Individual differences cannot be completely controlled and removed (people may have different levels of motivation and fatigue at any given time)

28
Q

Reliability

A

Refers to the consistency of a research study especially when it is repeated again and the same results are gained on both occasions

29
Q

Two types of reliability

A

External reliability
Internal reliability

30
Q

External Reliability

A

Whether a test and the results are consistent over time
The test-retest method can be used, where a study is conducted once and then again in the future. If the results are similar, the study is said to be reliable

31
Q

Internal Reliability

A

Whether a test and the results are consistent within itself
The split-half technique can be used to assess the internal reliability of questionnaires. The questionnaire is split in half and if participants score similarly on both halves, then the questions are measuring the same factors and has internal reliability

32
Q

Validity

A

If a study is measuring what it intends to measure, when referring to the aim of the study

33
Q

Types of validity

A

External validity (ecological validity)
Participant validity
Temporal validity
Internal validity

34
Q

External Validity (Ecological Validity)

A

The extent to which the findings of a study can be generalised to other settings

35
Q

Participant Validity

A

The results from the participants can be generalised to the target population

36
Q

Temporal Validity

A

The results from the study can be generalised to people in today’s contemporary society

37
Q

Internal Validity

A

When the outcome of the study is a direct results of the manipulation of the IV on the DV, and has not been affected by EV

38
Q

Categories of extraneous variables

A

Participant variables
Situational variables
Experimenter variables

39
Q

Participant Variables

A

Characteristics of the participants that may affect the DV (e.g. intelligence, age, gender, personality etc.). Matched pairs and repeated measures design can help to avoid this. However, repeated measures can lead to order effects, so counterbalancing is needed. Random allocation of participants should also ensure the groups are not biased

40
Q

Situational Variables

A

Factors in the environment where the experiment is conducted that could affect the DV (e.g. temperature, time of day, lighting). A way to resolve this is to use standardisation (making sure that all the conditions, materials and instructions are the same for all participants)

41
Q

Experimenter Variables

A

Factors to do with the experimenter that can affect the DV (e.g. personality, appearance, conduct). Standardised instructions should ensure that the experimenter acts in a similar way with all participants (follows a script, same manner and tone)

42
Q

Investigator Effects

A

Examples: observer bias, interviewer effects
Investigator characteristics (e.g. age, gender, ethnicity) may influence the results and behaviour of the participants
If investigators know the hypothesis, they may also inadvertently be biased in their interpretation of the results.
Investigator effects can be overcome by the double blind effect, when neither the participants or the investigator know the aim of the study and hopefully, the results will be more valid

43
Q

Demand Characteristics

A

Participants may guess the main aim of the research and what is expected from them. They might try to please the experimenter by giving the results they think are wanted. Or participants might try to annoy the researcher by giving incorrect results, or acting unnaturally.
It can be overcome by the single blind technique, which involves making sure participants do not know the aim, so hopefully this will not influence their behaviour - this is more difficult to accomplish in a repeated measures design

44
Q

Ethical guidelines

A
  • Introduction
  • General
  • Fully informed consent
  • Deception
  • Debriefing
  • Right to withdraw
  • Confidentiality
  • Protection of participants from psychological harm
  • Observational Research
  • Giving advice
45
Q

Ethics Committee

A

Made up of psychologists, staff, members of the public, and people from other disciplines and subject areas. Their job is to approve research proposals, after examining whether there are any ethical problems and whether they have been properly resolved

46
Q

Informed Consent

A

Whenever possible, investigators should inform participants of the objectives of investigations and gain their consent to take part.
The participants need to be informed about what will be required of them, the purpose of the research, their rights (to withdraw etc.).

47
Q

Three types of informed consent

A

Presumptive consent
Prior general consent
Retrospective consent

48
Q

Presumptive Consent

A

Consent gathered from people from a similar background to the participant. If they agree, it is assumed that the actual participants will also be willing to take part in the study

49
Q

Prior General Consent

A

Involves participants agreeing to be deceived without knowing how or when it will happen. If they agree, you can conduct the study knowing that you have gained their informed consent prior to the study. However, if they know they will be deceived at some in the future, they might show demand characteristics or change their behaviour

50
Q

Retrospective Consent

A

Involves asking participants after they have done the study. It could lead to their data being destroyed

51
Q

Protection from Harm

A

Investigators have a responsibility to protect participants from physical and psychological harm. The risk of harm should be no greater than in ordinary life. The study must be stopped if the investigator suspects a participant may be harmed. Participants need to leave the study the same way they entered it

52
Q

Right to Withdraw

A

At the start, all participants must be made aware that they can leave the study at any time, without having to offer explanations. It might be difficult to implement in covert observations. Participants should be made aware that they can withdraw their data at any point.

53
Q

Confidentiality

A

Data is confidential and should not be disclosed to anyone unless it has been agreed. Numbers and letters should be used instead of names if the study is published.
Confidentiality means that the data can be traced back to a name (but it should not be shared with others), but anonymity means that data cannot be traced back to a name as a name has not been provided

54
Q

Deception

A

The withholding of information or misleading participants is unacceptable.
Intentional deception over the purpose and general nature of investigators should be avoided whenever possible. Participants should not be misled without scientific or medical justification. Sometimes deception is necessary, and this is when an ethics committee approves it (with a cost benefit analysis)

55
Q

Overcoming deception through debriefing

A

What occurred in a study needs to be explained after the study. Participants also need to be told why deception was necessary. During a debriefing session, participants need to be made aware that they have the right to withdraw and to confidentiality. It also needs to allow the participant to ask questions

56
Q

Peer Review

A

The university sends out a psychologist’s completed work to other psychologists in the same field (usually experts), so that the work can be independently scrutinised. If the work is of high standard and quality, high in validity, significant and original, the work is considered for publishing, in a psychological journal etc.
The peer reviewers report on the quality of the research. Their views are considered by a research panel. The double blind peer review process occurs - the psychologists doing the review are anonymous (so the researcher does not know) and the peer reviewer does not know whose work it is
If the research does not meet high standards, the research will not be published. It could be sent back to the researcher who can correct and modify their work.

57
Q

Advantages of double blind peer review

A

No chance of bias
The reviewer would be extremely honest as they do not know the researcher

58
Q

Academic journals

A

Some are more prestigious than others.
They are expensive to buy, and many universities only buy a few a year, or subscribe to the journals online. This means the general public will not have access to the journals or the published research.

59
Q

Open Access - Online Peer Reviews

A

Some research might not be published in print but might go on through a different process called ‘open access’.
This is a process where new knowledge can be viewed online by the scientific community and the general public. The work deemed to be of good quality can be trusted and will be accepted and published. Work rated as poor quality will not be accepted and published. Readers decide whether the work is valid or not and they leave comments, however there is a possibility of people stealing your work, it could be biased, and non-psychologists may judge even if they do not understand

60
Q

Why is it important to publish research?

A
  • The work can appear in international journals, meaning the research can be shared across the world
  • The work can be debated and new ideas can develop from it, which could help establish new theories/research
  • The scientific community will have confidence that the work is of a good quality due to peer review
  • It can increase the reputation of the researcher and offer them the chance to gain funding
  • The institutions (university) also look good. Many universities receive government grants for their research so the university will get more money
61
Q

Three main functions of peer review

A
  • Allocation  of research funding (peer review is required to ensure the research is likely to be worthwhile)
  • Publication of research in academic journals (peer review prevents the publication of irrelevant findings, unwarranted claims etc. It also improves the quality of research published, and increases the probability of weakness is being identified before publication)
  • Assessing the research rating of university departments (peer review assessed the quality, so departments can be given a rating to reflect the standard of the research)