A-LEVEL PSYCHOLOGY RESEARCH TERMS Flashcards

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1
Q

Aim of a research project

A

What is the reason for carrying out a project, experiment or survey (research in general)? An indication and what the research intends to investigate or find.

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2
Q

How is data arranged on a BAR CHART?

A

Vertical (y) axis shows the variable SCORE.

Horizontal (x) axis shows the variables that were MEASURED.

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3
Q

What is a behavioural category?

A

When observing participants, psychologists categorise people’s behaviour into categories such as ‘passive to authority’ or ‘aggressive to peer group’ or ‘distracted’, etc.

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4
Q

What is a case study?

A

Investigation of a single participant/patient rather than a study of many people - useful for reviewing extraordinary issues or problems.

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5
Q

What is a ‘condition’ in research methods?

A

Condition describes different manipulations of the INDEPENDENT VARIABLE
(IV: the variable that the research alters, e.g., temperature in a room in which ppts are answering questions…)

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6
Q

What is a ‘confounding variable’?

A
A variable that interferes with research which may then skew results. 
Imagine studying two variables - maths scores and listening to Baroque versus Hip-Hop but some ppts drink coke while answering (coke is a stimulant): that would be confounding. And annoying :) 
ENVIRONMENTAL FACTORS (it's thundering outside - always a distraction!)
INDIVIDUAL DIFFERENCES (we have  maths whiz in the group)
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7
Q

What does ‘content analysis’ mean?

A

A method of removing data from newspapers, magazines, internet sites, interviews, broadcasts.
Researchers may look for common patterns in word use, say.

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8
Q

Describe ‘correlation’

A

This is a statistical technique used to explore whether two variables RELATE in some way or other. Researcher uses DEPENDENT and INDEPENDENT VARIABLES (and tries to keep it to two only)
Positive correlations increase together (e.g., fitness and time in the gym)
Negative correlations - one increases while the other variable decreases (maths scores vs alcohol units)

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9
Q

What is a ‘correlation coefficient’?

A

A statistic describing the correlation that may exist between two variables.
+1 = perfectly positive (x goes up same rate as y goes up)
-1 = perfectly negative (x goes up at the same rate as y goes down)
0 = no correlation
Researchers speak of ‘strong’ or ‘weak’ correlations depending on the number.
0.0 to 0.3 is weak,
0.3 to 0.7 is moderate,
above 0.7 is strong.

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10
Q

What is a ‘co-variable’?

aka ‘covariate’

A

Used in correlation research: reviewing how data may correlate that are NOT SET UP by the researcher (i.e., no dependent or independent variables) but to see if one set of data has a relationship with another.

E.g., urbanisation vs depression.
The covariate/covariable may explain a psychological issue. So, “A high level of urbanisation is associated with increased risk of psychosis and depression for both women and men.”
https://www.cambridge.org/core/journals/the-british-journal-of-psychiatry/article/urbanisation-and-incidence-of-psychosis-and-depression/AF3FDF51E9DA192097BEF153D9A02148

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11
Q

What is ‘debriefing’?

A

It relates to ethics and how experiments are done: to avoid unnecessary harm following a psychological experiment, the ppts have the experiment explained to them afterwards.

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12
Q

What is ‘deception’?

A

Relates to ethics: intentional misleading of ppts to secure a better experiment

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13
Q

What are demand characteristics?

A

When ppts latch onto how they think the researchers want them to answer/behave (usually from clues in the experiment outline)
*see ‘deception’ and why that may have a use!

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14
Q

What is a ‘dependent variable’?

A

This is what the researcher is keen to measure. The data produced depend on changes to the INDEPENDENT VARIABLE.
E.g, how do test scores (DV) change if the lighting in the room is changed (IV).

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15
Q

Describe a ‘directional hypothesis’ (or ‘one tailed hypothesis’)

A

Given a hypothesis (what a researcher expects to find), a directional hypothesis predicts a particular relationship that may be discovered.

E.g., Eating protein and fats before a test may improve test results (positive correlation)
Smoking cigarettes may be negatively correlated with male fertility (more smoking, less sperm)

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16
Q

What are ethical guidelines to a psychologist?

A

The boundaries within which researchers tend to work (or should work) to avoid breaching ppts rights or dignity.
Key concepts used to define the boundaries include:
consent (get if possible)
deception (avoid if possible)
debriefing (if possible)
right to withdraw (to be respected)
confidentiality (if appropriate must be respected)
protection from harm (if appropriate)
considerations regarding minors and mentally incapacitated

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17
Q

Note some key ethical issues to consider

A

consent (get if possible)
deception (avoid if possible)
debriefing (if possible)
right to withdraw (to be respected)
confidentiality (if appropriate must be respected)
protection from harm (if appropriate)
considerations regarding minors and mentally incapacitated
consideration of long term consequences of a trial/experiment (ppt harm, psychological harm, stress)
use of data previously gained through unethical experiments (should it be used?)

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18
Q

What is event sampling?

A
Recording clearly defined behaviours as they are occur.
A hit B.
A hit C.
A hit D.
E hit A.
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19
Q

What does ‘experimental design’ mean?

A

The process of designing an experiment and how participants are allocated to the different conditions (or IV levels) in an experiment.

  • experiment group with control group?
  • how many ppts
  • use of same or different ppts when changing conditions (independent variables)

KEY IDEAS to consider:

  • REPEATED MEASURES aka “within groups” (same ppts partake in each IV condition change)
  • INDEPENDENT MEASURES aka “between groups” (different ppts in each IV condition)
  • COUNTERBALANCE (each group does both conditions in a different order)
  • MATCHED PAIRS (each IV condition uses different but similar ppts - same gender, age, profession…)
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20
Q

Describe external RELIABILITY

A

The extent to which something is consistent over repeated occasions.

compare with external validity

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21
Q

Describe external VALIDITY

aka ‘ecological validity’

A

How well does an experiment relate to real world?

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22
Q

What are EXTRANEOUS VARIABLES?

A

Factors or conditions that may be affecting an experiment - preferably these are to be avoided or minimised in lab experiments.
(E.g., external noises affecting ppts concentration)

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23
Q

What is a ‘field experiment’?

A
Research that manipulates variables in a natural (real world) situation.
Kinds of variables: 
  building used
  contrived external noise
  visual environment (colours in room)
  no. of confederates in a location
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24
Q

What is an hypothesis?

A

Hypothesis is a formalised statement of the aims of a research project. It is set out as a statement predicting what may be discovered. It can be directional (that is a positive or negative correlation as expected) or non-directional (the researcher does not know what kind of correlation is to be expected).

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25
Q

Explain independent groups design

A

This is also known as experimental design in which participants are allocated to different groups, each group does something slightly different in the experiment on the performance of the groups is then analysed.

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26
Q

What is an independent variable

A

The independent variable is the variable that is manipulated in an experiment. For example the temperature in the room, or the number of participants in a group study.

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27
Q

What is internal reliability?

A

This refers to an experiment being consistent with the question being asked.

Also - the extent to which a study rules out or makes unlikely alternative explanations.
So if we were examining students’ ability to work under time constraints, we would want to rule out confounding variables such as the use of caffeine stimulants, say.
Other explanations to a study are called ‘threats’ to the experiment.

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28
Q

What is internal validity?

A

This refers to whether the researcher has measured what they intended to do.
How confident is the researcher in finding a cause and effect?
Has the researcher removed extraneous or confounding variables?
Did the research have an effect on the results?

Example: As part of a stress experiment, people are shown photos of war atrocities. After the study, they are asked how the pictures made them feel, and they respond that the pictures were very upsetting. In this study, the photos have good internal validity as stress producers.

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29
Q

What is inter-rater reliability?

A

Checking whether two or more observations of the same event are consistent or not.

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30
Q

Name two types of interview

A

Structured or unstructured. Structured interviews follow a similar pattern each time, well unstructured allow the conversation to flow in an open ended manner. Both have their strengths and weaknesses.

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31
Q

What is the investigator effect?

A

It is when a researcher unintentionally encourages a participant to behave in a certain way. This thereby nullifies the reliability of the research.

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32
Q

Why do psychologists use laboratory experiments?

A

Because there they can control the independent variable is better. Typically for psychologist this is a quiet room where external noise and light distractions can be minimised.

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33
Q

What are matched pairs in research?

A

This is the use of different but similar participants in research - for instance keeping the same number of specific ages, professions, religion, race, profiles et cetera

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34
Q

Define the mean in statistics.

A

The main is a measure of central tendency - often referred to as the average. But recall that there are two other averages, for median and the mode.

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35
Q

What is a measure of dispersion generally?

A

The measure of dispersion reflects how to spread out the data are around a central tendency, such as the mean.

36
Q

What is the median?

A

A measure of central tendency - The middle value in a range of data.

37
Q

Explain ‘misleading information’

A

The use of information to encourage WITNESSES to recall events that did not happen or that did not happen in real sequence. Also known as ‘priming’ the mind or ‘leading questions’.
“Now you recall the red car that was speeding down the road…’
RED and SPEEDING are telling the ppt two things which may not be correct.
Better: Did you witness a car coming down the road? What colour was it? How fast was it travelling?

38
Q

What is a ‘mode’ in statistics?

A

A measure of central tendency - the most common frequency.
There can be more than one mode:
E.g. ‘bimodal’ (two modes)
multimodal (many modes)

39
Q

Describe ‘natural experiment’

A

More of a survey than an experiment because the researchers do not control or cannot control any IVs (independent variables); instead they observe and take data. If a comparison is desired than a review of behaviour before and after an event may be useful (e.g., how does a by-pass affect town life), or pursue LONGITUDINAL studies - following ppts over a long period of time.

40
Q

What is naturalistic observation?

A

Observing the behaviour of people in their natural environment. That is outside of laboratories or psychology departments!

41
Q

What is a negative correlation?

A

A correlation that shows one variable rising while the other falls.
e.g, rising temperature and ability to focus.

42
Q

Explain nominal data

A

NOMinal data is NAMED data which can be separated into discrete categories which do not overlap.
A common example of nominal data is gender; male and female.

43
Q

What is a non-directional hypothesis?

A

This is a hypothesis for which the researcher does not have a precise prediction. The researcher may be looking for a difference or correlation but does not know which way it will go. Also known as a two tailed hypothesis

44
Q

What is a non-participant observation

A

This is when a researcher remains outside and unobserved during an experiment for observation.

45
Q

What is the null hypothesis?

A

The null hypothesis is a generally accepted statement or notion, which researchers try to nullify by offering an alternate hypothesis.
E.g., ‘young people are bad drivers’ is a generalisation that can be tested for its robustness.
The null hypothesis Ho may be accepted of course, but a researchers job is to TEST the obvious at times!

46
Q

What is an observational method?

A

This is a research method in which the researcher observes people usually in their NATURAL ENVIRONMENT recording what they do and say.
E.g., Mary Ainsworth studied how infants responded to brief periods of separation from their mothers

47
Q

Name some observational techniques.

A
  1. Natural observation
  2. Controlled observation
  3. Covert observation
  4. Overt observation
  5. Participant observation
  6. Nonparticipant observation.
48
Q

Describe the term, ‘operationalise’.

A

This is to make something measurable. E.g. to give a score on an experiment or survey, such as this beautiful person scores an 8.

49
Q

What is opportunity sampling

A

This is when the researcher chooses people close to where he or she works or socialises to ask them questions for a survey. It is done because it is convenient.

50
Q

What is ordinal data compare to cardinal data?

A

Ordinal data on numbers that are given an order or rank = ORDER
Cardinal data are given an actual numbers =HOW MANY

51
Q

Describe participant observation

A

This is when the researcher is directly involved in the situation been survey aid or observed. Compare this with nonparticipant observation, in which he or she is removed and unobserved.

52
Q

What is a pilot study?

A

This is an initial survey usually quite brief that is given out to a few people to get feedback from participants and also for the researcher to review before going on to a more formal study. This gives the researcher a chance to remove any problematic questions or issues.

53
Q

Describe a positive correlation

A

As one variable increases so does the other.

54
Q

Describe the difference between primary and secondary sources

A

Primary sources are gathered by the researcher, while secondary sources are gathered from other peoples research.

55
Q

What is the difference between quantitative and qualitative?

A

Quantitated data is numerical and qualitative data is in the form of opinions or words.

56
Q

Describe quota sampling

A

This is similar to stratified sample link. Proportions of different groups within the target population are calculated and hence given a quota e.g. 50, and when the quota is satisfied, any other ppts from that Segment will be ignored.
E.g. a researcher may want to question 50 people from East London and 60 from West London, and so on. When 50 are taken from East London, all others from that region are ignored (politely, of course).

57
Q

Describe random sampling

A

This is a method of sampling in which all participants have an equal probability of being chosen, e.g. from electoral registration number or being pulled out of a hat.

58
Q

Describe range in statistics

A

The range you will remember from maths is the highest take away the lowest, but it is called a measure of dispersion in statistics. That is, how much the data is dispersed.

59
Q

Name for measurement scales

A

Cardinal, ordinal, ratio, interval. Data can be measured in any of these four styles.

60
Q

What is ratio data.

A

Ratio scales are the best when it comes to measurement scales because they tell us about the order, they tell us the exact value between units, AND they also have an absolute zero–which allows for a wide range of both descriptive and inferential statistics to be applied.
Here we can use phrases such as twice as big, or 3:1 ratio.

61
Q

What is interval scales/data

A

Interval scales are numeric scales in which we know not only the order, but also the exact differences between the values.

E.g. temperature, because the difference between each value is the same. For example, the difference between 60 and 50 degrees is a measurable 10 degrees, as is the difference between 80 and 70 degrees. Time is another good example of an interval scale in which the increments are known, consistent, and measurable.

62
Q

What is reliability generally speaking?

A

Also ‘noticed consistency.’
A study is reliable such that when repeated Its findings are similar.
In observational surveys, we check whether different researchers are observing the same categories of behaviour. This is known as inter-rater reliability.

63
Q

Describe repeated measures design

A

This is when each participant takes part in an experiment on more than one occasion.
The person’s performance is then compared under each condition that is changed. E.g. test scores and the different temperatures, or size of room, or number of other confederates.

64
Q

What is researcher bias?

A

When researchers behave in ways that may influence investigation. For examples in the language or behaviour that they use that may subtly mean something to ppts and hence change research outcomes.

65
Q

What is sampling?

A

The act of choosing participants for a study

66
Q

What is a sampling frame?

A

A method used to select participants from a target population based on characteristics. A population is everybody that could be targeted, while a sampling frame lists particular characteristics or names. E.g. a population study of towns and villages over 1000 people in Somerset, a sampling frame would list all of those towns and villages.

67
Q

What is a scattergram

A

Also known as a scatterplot or scatter graph, it is used to depict potentially correlating data: y versus x axes and data plotted according to the surveys.

68
Q

What is a self report?

A

A method of getting data from people in which the ppts provide the information themselves through a questionnaire or interview.

69
Q

What is a semistructured interview?

A

Semistructured lies between a fully structured interview in which the same questions are asked each participant, and open interview in which no predetermined questions are formed. In the semistructured interview there are topics that the researcher will cover but in which order is very much up to the particular interviewer..

70
Q

What is snowball sampling?

A

Used by researchers to find similar ppts, by asking current participants for referrals as they may know people of a similar characteristic being sought. E.g., Welsh speakers in London, Xanax addicts in 6th Form.

71
Q

What is a standard deviation

A

This is another measure of dispersion (see the range) which is calculated by formula to describe the average distance that values lie from the mean. A low standard deviation means that the data are grouped around the mean, while a high standard deviation suggests the data are more dispersed.

72
Q

Describe stratified sampling

A

This is when a researcher divides a population into strata, such as H or gender or profession and then participants are selected randomly from each strata based on a weighted proportion of the population.
E.g., if 65% of a school of 1000 are girls and 45% are boys, then 65% of a survey of 100 ppts should be girls (65 girls, 45 boys).

73
Q

What is a structured interview

A

The same questions are given to each participant in the same order.

74
Q

What are summary statistics

A

Researchers are keen to find the measures of central tendency and measures of dispersion to provide a summary of what they have found.

75
Q

Describe systematic sampling

A

Choosing every nth person in a list.

E.g., every fifth person on a list of 200 for a survey of 40.

76
Q

What is a target population?

A

All the members of a particular group from which ppts for a survey are chosen.
E.g. students aged 16 to 17.

77
Q

Describe time sampling.

A

Making observations at certain time intervals within a given period. E.g. every five minutes for 60 minutes

78
Q

What is valid consent?

A

Participants must be fully informed about a study before they agree to take part. Compare deception..

79
Q

What is validity in general?

A

The research investigate what it says it will investigate. In other words the researchers use appropriate measurements for the study.

80
Q

What is a variable?

A

Anything that is changed or controlled in research. These can be extraneous, independent, or dependent variables.

81
Q

What is volunteer sampling

A

Sampling method in which participants volunteer to take part perhaps as a result of an advert.

82
Q

What is zero correlation?

A

Correlation data in which there is no relationship between variables.
e.g., number of trees planted in 2018 in UK versus number of students taking psychology.

83
Q

Try to name the 14 steps a researcher proceeds through in conducting research.

A

Background study/reflection
Aim - what is it that you want to find out?
Hypothesis - putting your idea more formally
Identify variables - what are you going to measure?
Operationalise the variables - quantify them/score them if possible
Design - consider use of matched pairs/independent groups etc
Sample - target population and sample within
Equipment - what do you need for resources?
Ethical issues - harm?
Validity and reliability - check you’re going to study what you’re trying to find out etc
Data - collect it
Data - analyse it
Results - significance (find anything?)
Evaluation - strengths, weaknesses, overall conclusion (good or bad research).

84
Q

What are longitudinal studies?

A

Following the same ppts over a long period of time - years or even decades.

85
Q

What are cross-sectional studies?

A

Instead of following ppts over a long period of time (as in longitudinal studies), a cross section of the population is surveyed reviewing different ages.

86
Q

What is a split-half test?

A

A way of checking internal reliability - questions are divided into two and if the results correlate well, then it is deemed internally reliable.

87
Q

What is ‘alpha’ used for in statistics?

A

The significance level, also denoted as alpha or α, is the probability of rejecting the null hypothesis when it is true.

For example, a significance level of 0.05 indicates a 5% risk of concluding that a difference exists when there is no actual difference.

A significance level of 0.05 can be graphed by shading the 5% of the distribution that is furthest away from the null hypothesis.