Research Methods Flashcards

(203 cards)

1
Q

Sampling techniques

A
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2
Q

what is a Target population?

A

the target population is the particular subgroup that the psychologist is interested in studying, and to which the research findings will be generalised

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3
Q

what is a sample?

A

small group from the population. needs to be representative of the target population

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4
Q

Why do we need to use sampling methiods?

A

the target population is too large to study, so sampling techniques allow the psychologist to pick a sample that can represent the target population. If the sample is representative then psychologists can generalise the results to the target population with more credibility

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5
Q

what is random sampling?
how would we go about this?

A
  • everyone has an equal chance of being chosen
  • list of all members of the target population
  • all names given a number
  • samle is selected through lottery method?
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6
Q

what is an advantage and disadvantage of random sampling?

A

adv: Free from bias, so more likely to be representative of the population, can be generalised to target population
Disadv: time consuming, those who are picked may be unwilling to take part

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7
Q

how is a random sample different to random allocation?

A

random allocation involves eliminating researcher bias

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8
Q

what is systematic sampling?
how?

A
  • choosing people according to a (pre-determined) system
  • we can pick every 5th person or 3rd house on the street
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9
Q

what is an advantage and disadvantage of systematic sampling?

A

adv: Free from bias
Disadv: may not be representative of the target population

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10
Q

what is stratified sampling?
how?

A

this sample reflects the proportions of people that make up the total populations
- identifies the group that makes up the target population
- work out proportions needed for the sample to be representative
- participants that make up each group are selected using random sampling

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11
Q

what is an advantage and disadvantage of stratified sampling?

A

Adv: ubias, likely to be representative
Disav: time consuming

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12
Q

what is opportunity sampling?

A

researcher selects anyone willing to participate in study at time
e.g If stood outside of university in street - uni students

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13
Q

what is an advantage and disadvantage of opportunity sampling?

A

Adv: convenient, quic, easy, cheap
Diadv: Could be bias as researcher picks their participants.

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14
Q

What is volunteer sampling?

A
  • participants select themselves to be part of the sample.
  • via advert in newspaper or on social media
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15
Q

what is an advanatage and disadvantage of volunteer sampling?

A

Adv: quick and easy
Diadv: issues of bias, not representative of target population

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16
Q

Ethical Issues

A
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17
Q

what are ethical issues?

A

this arises when conflicts exist between participants rights in research studies

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18
Q

what is the BPS code of ethics?

A

a legal document that instructs psychologits in the UK about what behaviour is and not acceptable when dealing with participants

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19
Q

what are the 4 ethical issues?

A

informed consent, deception, right to withdraw and privacy and confidentiality

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20
Q

what is informed consent?

A
  • ensures participants are aware of all the aims, procedures, their rights and what their data will be used for
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21
Q

why might some researchers may not want to ask for consent?

A

because it could make the study meaningless because participants behaviour will not be natural as they know the aims of the study

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22
Q

How can we obtain informed consent?

A
  • presumptive consent - a similar group of people are asked if the study is acceptable, if this group consents then the original participants is presumed
  • prior general consent - participants give consent to take part in a numerous of studies including deception
  • retrospective consent - are asked for conset after taking part in the study. may not have been aware of deception
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23
Q

How do we deal with informed consent?

A
  • consent letter with relevant information
  • if under 16, parents signiture needed
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24
Q

what is deception? And why is it unethical?

A
  • deliberately misleading and holding information from participants ant any stage of the investigation.
  • This is unethical as participants have not given fully informed consent which means they might be taking part in research that goes against their beliefs
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25
How do we deal with deception?
- debrief participants - tell them the true aims of the study and any other details they were not given, - what their data will be used for and - the right to withdraw - for severe cases give the option of counselling
26
what is protection from harm?
participants should not be placed at many more risks that everyday life, should be protected from physical and psychological harm
27
how do we deal with protection from harm?
- debrief participants and reassure them of the real aims - remind participants of their right to withdraw - terminate the experiment if level of harm is higher than expected - offer counselling for severe cases
28
what is privacy and confidentiality?
right of privacy: participants have the right to control information about themselves and what the researcher can find out about them Right of confidentiality: participants have the right to ensure that any information about themselves is protected
29
how do we deal with confidentiality?
- if personal details used need to be protected e.g fake name/ initials and should not be identifiable by any person, institution or organisation - better not to ask personal details - refer to participants as number - debrief to sat how their data will be protected and not shared
30
Controlling Variables
31
what are the 4 main controlling variables?
- extraneous variables - confounding variables - demand characteristics - investigator effect
32
what is an extraneous variabale?
any variable other than the independent variable that may have an effect on the dependent variable (therefore the results) if it is not controlled - e.g temp of room
33
why are these called nuisance variables?
do not change at the same time as the IV and they could offer an alternative explanation for results so we have to try identify them
34
what are two types of extraneous variables?
Situational – any features of the experimental environment that may effect participants behaviour ( and therefore the DV) Participant – any individual differences between participants that may effect the dv i.e the way in which each participant differs from each other
35
What is random allocation? Why is it important?
Participants are randomly allocated to a group. - decreases the possibility of participant variables in the form of individual differences
36
What is counterbalancing?
to combat the problem of order effects with a repeated measures deign , researchers counterbalance the order of the conditions. The sample is split into two conditions in one order and the other half completing the conditions in the reverse order. Any order effects should be balanced out by the opposing half of the participants.
37
what are confounding variables?
any variable other than the iv that may have affected the dv which does change at the same time as the iv.
38
therefore we do not know..?
the true source which changes the DV
39
E.G energy drink experiment, what would be the confounding variable
personality- some people could have been more outgoing whereas some people could have been more shy
40
what are demand characteristics?
any cue from the research situation which may reveal the purpose of the investigation. This may lead to a participant changing their behaviour in the study which may change the results of the investigation. (they act as confounding variables)
41
what is the Please -U- effect and the Screw-U effect
please-U: participants may act in a way they think is expected and over perform Screw u effect – participants may underperform to sabotage the results of the study – this means that participants are not behaving naturally so effecting the DV
42
How can we deal with demand characteristics?
By not allowing participants to guess the true aim of the study, e.g single blind techniques - only the researcher knows the true aims of the research
43
what is the investigator effect?
any effect of the investigators behaviour (consciously or unconsciously) on the research outcome (dv). They reveal to the participants how they should behave or what the experiment is about.
44
How to deal with investigator effect?
Double blind technique - where both the participant and the researcher does not know the true aim of the experiment. Only the person who designed the experiment.
45
Energy drink study, how could the investigator effect come into play?
leading questions - researchers may encourage participants to be more chattier from energy-drink participants
46
how do researchers control these variables?
1. randomisation 2. standardisation
47
what is randomisation?
the use of chance in order to control the effects of bias when designing materials and deciding the order of conditions. the use of ‘chance’ in setting up the investigation - MSA
48
what is standardisation? - MSA
using exactly the same procedures and instructions for all participants in the research study each time the experiment is conducted MSA - ways in which procedures/materials/instructions within an investigation are kept the same for all participants.
49
The experimental method: Aims, Hypotheses, IV's and DV's
50
what is the experimental method?
Involves the manipulation of the iv to measure the effect of the dv
51
what is a variable?
any thing which can be changed or altered in an investigation
52
what is manipulation?
researchers purposely alter the IV
53
what is the independent variable?
aspect that is manipulated by the researcher/ changes naturally so that the effect on DV can be measured
54
what is the dependent variable
the variable that is measured by the researcher, any effect on the DV should be caused by the IV
55
What if there is no Independent or dependent variable?
Then the study is non-experimental
56
what is an aim?
a general statement of what the researcher tends to investigate
57
how do we write an aim?
we write as if we are trying to reword a question to no question. e.g does hunger effect memory for food related words?’ then the researcher created the aim to examine the effect of hunger on memory of food-related words?
58
what is a hypothesis?
Hypothesis - A clear, precise, testable statement that states the relationship between the variables being investigated. It is written at the beginning of the study.
59
what are the 3 types of hypothesies?
direction, non-directional and null
60
What are the two types of experimental hypotheses?
Directional and Non-directional
61
what is a directional hypothesis?
The researcher makes clear the difference or relationship they expect to find between the conditions or groups of people. They state the direction of the results. They are used when previous research has been conducted into the topic and suggest particular results. In a directional hypothesis, words like more/less, higher/lower, faster/slower will be used
62
What are directional hypotheses sometimes called?
One-tailed
63
what is a non-directional hypothesis?
The researcher states that there will be a difference but does not state the nature of the difference. They are used when there is no previous research or when previous findings are contradictory.
64
What is a non-directional hypotheses also referred to as?
Two tailed hypothesis
65
what is null hypothesis?
States that there is no relationship between the variables being studied (one variable does not affect the other)
66
what is operationalisation of variables?
the process of clearly defining variables in terms of how they can be measured. The term operationalisation can be applied to IV's, DV's or co-variables.
67
Give an example of an operationalised hypothesis?
- to examine the effect of hunger on food related words - the iv is hunger levels - the dv is number of food related words correctly recalled
68
Pilot Studies
69
what are pilot studies?
pilot studies are small scale prototypes of a study that are carried out in advance of the full research to find out if there are any problems with experiments. the sample used must be representative of the target population
70
What would a researcher consider when designing an experiment/ carrying out a pilot study?
- experimental design - so participants have enough time to complete the tasks - instructions for participants - are the instructions clear? - Measuring instruments - including the behavioural categories in the observation research and questions when using questionnaires . They allow questions and categories to be checked and modified when necessary
71
using a pilot study ensures that...?
time, effort and money is not wasted on a flawed methodology
72
What must the psychologist ensure that they have?
Must have a sample that is representative of the target population.
73
Experimental Design
74
what are the 3 types of experimental design?
Repeated measures Independent groups Matched pairs
75
what is repeated measures?
- participants take part in each condition of the experiment. - The data from both conditions is then compared for each participant to see if there was a difference
76
what are the advantages of repeated measures
- Fewer participants requires as participants take part in both conditions of the experiment - This makes it less costly and time consuming, as less recruitment of participants. - In addition, use of same participants across both conditions Reduces participant variables such as individual differences - meaning the effect of the IV can be measured on the DV precisely
77
what are the disadvantages of repeated measures
- Order effects can occur – so participants may perform better in the second condition as they experien, thce practice effects and know what may be expected of them to do - Participants who may experience fatigue or boredom may do worse in the second condition as they want to give up - therefore this design isprone to demand characteristics as participants are more likely to guess the aim of the experiment when they take part in both conditions
78
How could the researcher address this issue?
The researcher could use counterbalancing - to address any order effects, as participants take part in condition B followed by Condition A, whilst the other half Completes Condition B followed by Condition A. - Any order effects experienced by those who those who started in condition A should be offset by those who started in condition B
79
what is independent groups?
two separate groups of participant. One group in each condition of the experiment. Allocated into groups by random allocation.
80
what are the advantages of independent groups?
Avoids order effects – as participants only take place in only one condition of the experiment they are less likely to become bored and give up reducing the impact of order effects reduces demand characteristics as participants are only taking part in one condition of the experiment, less likely to guess aim of the experiment, increasing validity of the results uses random allocation - ensures participant has equal chance of being selected. reducing investigator effects, biased sample
81
what are the disadvantages of independent groups
- more participants are required so more expensive and more time consuming - participant variables may affect the results. - For example differences in age sex background etc so may act as extraneous variables - This means that uncertain that the IV caused the changes measured.
82
what are matched pairs?
pairs of participants are matched from the sample in terms of key variables such as age then participants are treated much like those in independent measures. One member of the pair is placed in the experimental group and the other member in the control group
83
what are the advantages of matched pairs?
- Reduces participant variables - as researcher pairs up so they have similar abilities and characteristics. This means that accurate conclusions can be made and demand characteristics could potentially be identified. - In addition, Avoids order effects - such as practice effects and fatigue, as participants only take part in one condition of the experiment
84
what are the disadvantages of matched pairs?
More participants required so more expensive and time consuming Difficult to find a close exact match Individual differences may still play a role, as finding a close match may be almost impossible
85
Self-report Techniques
86
what is a self-report technique?
any method in which a person is asked to state their feelings, opinions, thoughts and or experiences related to a given topic
87
what is a questionnaire?
Questionnaires involve a pre-set list of written questions to which a participant responds. Used to asses thoughts feelings and the dv. There are two types: open and closed
88
what is an open questionnaire? and what type of data does it produce?
Open – allows participants to respond however they wish not set/predetermined response/answer . Generates qualitative data
89
what is a closed questionnaire? and what type of data does it produce?
Closed – set of predetermined responses and aswers . Generateds quantattive data
90
what are the strengths of using questionnaires?
Cost effective and less time-consuming – gather large amounts of data quickly as they can be distributed to a large number of people Less effort – reseacher does not need to be present Easy to analyse data is quantitative if closed questions are used using graphs and charts
91
what are the weaknesses of using questionnaires?
Social desirability bias (form of demand characteristics) - Responses given may not be truthful respondents may be keen to present themselves in a positive light and may influence their answers Response bias – respondents tend to reply in a similar way for example always ticking yes because respondents complete the questionnaire quickly and failed to read questions properly Acquiescence bias – tendency to agree with items on a questionnaire regardless of the content of the question
92
what is the F-scale? and how does it link in with aquiescence bias?
measures authoritarianism. Jackson and messick created a reversed version of the f-scale where all the items were in the opposite meaning to the original questionnaire. He gave both questionnaires and seen a strong positive correlation between both sets of results . This suggests that aquiescence bias was taking place
93
what are 3 types of interviews?
structured, semi-structured and unstructured
94
what are structured interviews?
made up of predetermined questions that are asked in a fixed order. Like a questionnare but face-face
95
what are the advantages and disadvantages of structured interviews?
Adv: They are straight forward to replicate due to standardised forma. The format also Reduces differences between interviewers Disadv: Not possible to deviate from the nature of the topic or explain the questions when the participant is confused. This will limit the validity of the data collected
96
what are semi-structured interviews?
a list of questions worked out in advance but interviewers are free to ask follow up questions based on previous answers
97
what are unstructured interviews?
resembles a conversation. Not set questions. The general aim that a certain topic is discussed. And the interaction is free flowing. Encouraged to expand and elaborate on answers
98
what are the strengths and weaknesses of unstructured interviews?
strength: Interviewer can follow up points and able gain a better insight into the view of the interviewee Weakness: Analysis of data is not straightforward. May have to sift through irrelevant information drawing firm conclusions may be difficult Increased risk of interviewer bias as the researcher can ask and adapt questions
99
when designing questionnaires what type of scales can be used?
Likert scales – a scale of agreement usually from strongly agree to strongly disagree Rating scales - usually using numbers to rate how they feel about a particular topic Fixed choice – presented with a list of choices from which they can either choose from e.g yes or no questions
100
when designing interviews what should we do to ensure it's a good one?
- quiet space with privacy - start off interview with more neutral questions - e.g did you get here okay? - interview schedule - standardised to reduce interviewer bias - record interview and make notes throughout
101
when writing questions for interviews and questionnaires what should we avoid?
overuse of jargon - using technical terms that are only familiar to those within a specialised field - make is simple and easy emotive language and leading questions - sometimes the researchers attitudes towards a particular topic is clear from the way in which the question id phrased. e.g boxing is a barbaric sport, how far do you agree Double-barrelled questions and double-negatives - questions which contain 2 questions in one, the issue being that respondents may agree with one half of the question and not the other. double negatives - two negative words in one sentance. e.g i am not unhappy in my job
102
Types of experiments
103
Why are different types of experiment used?
attempt to find a cause and effect relationship between independent variables and dependent variables and to measure the extent of this effect
104
What are Laboratry Experiments?
An experiment which takes place in a highly-controlled environment. the researcher manipulated the IV and measure the effect on the DV, whilst maintaining strict control over extraneous variables. Does not always have to be in a lab could be in a classroom where conditions are well controlled
105
what are the strengths of lab experiments?
- highly controlled conditions - strict control over extraneous variables so prevent them from becoming confounding variables which negatively affect the DV - high internal validity - easily replicated
106
what are the limitations of lab experiments
- low mundane realism, tasks given may not represent everyday activities and therefore also lack ecological validity - demand characteristics, participants are aware they are taking part in a study so behave in an unnatural manner - lacks generalisability to real life because of the lab setting
107
what are field experiments
The IV is manipulated in a natural, more everyday setting. The researcher goes to the participants’ usual environment rather than the participants going to the researchers’ lab. The researcher still records the effect on the DV. Participants are sometimes unaware that they are being studied.
108
what are the advantages of field experiments?
- higher mundane realism than lab experiments . as a result field experiments might produce behaviour that is more natural. - can generalise to everyday life - high ecological validity
109
what are disadvantages of field experiments?
There is a lack of control over confounding variables and extraneous variables. This means that they can become confounding variables and distort the meanings of the findings. -Cause and effect relationship can not be made since other factors could have had an impact - ethical issues - participants are unaware of the investigation, cannot give consent
110
What are natural experiments?
They are like a lab and field experiment. The researcher does not Manipulate the Iv and instead records the effect of an existing IV on the DV. The difference is that the IV is naturally occurring (the researcher has no control over it) e.g. before and after a natural disaster. The researcher records an effect on the DV they have decided on or which occurs naturally, such as exam results. The IV is ‘natural’ but not necessarily the environment meaning participants can still be tested in a lab.
111
what are the strengths of natural experiments?
- high external validity, IV is naturally occurring - high ecological validity - real life issues that are being studied rather than being manipulated artificially and the effect of these real life issues on real world. - unique insights gained on real-life situations
112
what are the limitations of Natural experiments?
- only occur very rarely - so limits the opportunity to generalise the results to other similar events or circumstances - no control over extraneous variables, which means it's difficult for the research to accurately assess the effects of IV on the DV
113
what is a quasi experiment?
Have an IV that is based on the differences between people e.g age or gender. No one has manipulated this variable, it simply exists and the IV cannot be changed. For example, if the anxiety levels of phobic and non-phobic patients were compared, the IV of ‘having a phobia’ would not have come about through any experimental manipulation. The DV may be naturally occurring or decided by the researcher.
114
What is an advantage of the Quasi experiment
- Often conducted under controlled conditions and therefore share strengths with lab experiments such as - they can be used when there are practical or ethical reasons why participants can't be randomised.
115
what is a disadvantage of Quasi experiments?
- participants can not be randomly allocated to research conditions to remove the issue of bias
116
Measures of central tendency
117
what are measures of central tendency?
the measure of averages in the data set
118
what is descriptive statistics?
the use of graphs, tables and summary statistics to identify trends and analyse sets of data
119
what is the mean?
average calculated by adding up the values and dividing them by the number of values
120
what is the median?
the middle value in the data set when arranged from highest to lowest
121
what is the mode?
the most frequently occurring value in the dataset
122
what is the widest used measure of central tendency?
the mean
123
what is an advantage and disadvantage of using the mean as a measure of central tendency?
Adv: It is the most sensitive of the measures and takes into consideration all values in the data set. Disadv: However, it can be misrepresentative of the data set if extreme scores or anomalies are present.
124
when is the median used?
Often used when there are extreme values that make it difficult to get a true representation of the data through using the mean.
125
explain the advantages and disadvantaes of using the median as a measure of central tendency?
Adv: The median is not affected by extreme scores and is easier to calculate Disadv: However, it does not reflect all scores in the dataset
126
what is meant by bi-modal?
two modes within the dataset
127
explain the advantages and disadvantages of using the mode as a measure of central tendency?
Adv: The mode is not affected by extreme scores Disadv: It is sometimes very different from the other scores and does not represent the dataset very well.
128
normal distribution graph produces a...?
bell shape curve
129
draw what a negative and positive skew looks like and where does the mean, mode and median lie on the graphs?
mode - highest and middle of skew median - below highest (mode) mean - below the median
130
where does the mean, mode and median lie on the normal distribution graph?
in the middle of the curve/ the same midpoint
131
what sort of example would give a positive skew?
if the exam taken was too easy
132
which measure of central tendency is affected most by this distribution and why?
the mean because it's affected by extreme scores
133
what are measures of dispersion?
These are descriptive statistics that define the spread of data around the central value (mean or median).
134
what are the two measures of dispersion?
range and standard deviation
135
what is the range?
Calculated by subtracting the lowest score from the highest score in the dataset and usually adding 1. The addition of 1 is a mathematical correction to show some scores will have been rounded up/down.
136
what are the advantages and disadvantages of using the range as a measure of spread?
Adv: Easy to calculate mathematically without using a calculator Disadv: Doesn’t indicate the distribution pattern between the whole dataset
137
what is the standard deviation?
Tells you how much (on average) each score deviates (moves away) from the mean. The larger the SD, the greater the spread within a dataset.
138
what are the advantages and disadvantages of using the standard deviation as a measure of spread?
Adv: The SD is a more precise measurement of the spread of scores because it includes all values. Disadv: However, it can be distorted by a single extreme value. Also, some extreme values might not be revealed unlike with the range
139
Observational techniques
140
what is an observation study?
An observational study is when researchers watch and record people's behaviour.
141
why do psychologists use observations?
See what people do without asking them Study behaviour within a natural or controlled setting Study more complex interactions or topics Capture spontaneous and unexpected behaviour
142
what is a naturalistic observation?
Psychologists observe people/animals in their natural environment. The environment is not controlled. This means that the participants involved can behave freely. The researcher does not interfere they simply watch the behaviour of the group.
143
what are the strengths and weaknesses of using a natural observation
strengths: High external/ecological validity because they are conducted in the environment where the behaviour would normally occur which means that the findings can be generalised to everyday life. weaknesses: The lack of control over the research situation makes replication of the investigation difficult and therefore the reliability is reduced. Researchers have very little control over extraneous and confounding variables.
144
what is a controlled observation?
Watching and recording behaviour in a controlled and structured environment such as a laboratory.Researchers have more control over variables such as the time the observation takes place, how the environment is set up and who is involved.
145
what are the advantages and disadvantages of using controlled observations
Adv: Low external/ecological validity and therefore findings cannot be applied to everyday life. Disadv: Extraneous and confounding variables are less of a problem which makes replication easier.
146
Participant and non-participant observation
147
What is participant observation?
The researcher becomes a member of the group they are observing. They join in with the group behaviours.
148
what are the advantages and disadvantages of participant observation?
adv: Provides the researcher with increased insight into the people being studied -increase external validity. Disadv: Researcher may ‘go native’ and lose objectivity.
149
what is non-participant observation?
The researcher does not become a member of the group, they remain separate from the group that they are watching.
150
what are the advantages and disadvantages of non-participant observations?
Adv: Researcher can remain objective so there is less danger of ‘going native’. Disadv: Lose valuable insight of the group because they are too removed.
151
what is covert observation?
Participants behaviour is watched and recorded without them knowing or consenting to being studied. The behaviour must occur in public.
152
what are the strengths and weaknesses of covert observation?
Adv: Removes the problem of demand characteristics which ensures that the behaviour observed remains natural, increasing the internal validity. Diadv: Ethical issues?
153
what is overt observation?
Participants behaviour is watched and recorded with them knowing and consenting to being studied. Participants can see the researcher.
154
what are the strengths and weaknesses of overt observation?
Adv: More ethically acceptable Disadv: Presence of the researcher may reduce the naturalness of the participant behaviour.
155
Observational design
156
what are the two ways of recording data?
unstructured ansd structured
157
what is an unstructured observation?
Researcher wants to write down everything that they see and will therefore produce accounts of behaviour that are rich in detail.
158
what are the pros and cons of using unstructured observations?
Pros: Detailed information gained Cons: Observer bias due to lack of behaviour categories. Researchers may only record behaviour that ‘catch their eye’ Produce qualitative data – difficult to record and analyse
159
What is a structured Observation?
in structured observations, the researcher uses coded schedules according to a previously agreed formula to document behaviour and organise data into behavioural categories. A behavioural category is when psychologists must decide which specific behaviours should be examined. This involves breaking the target behaviour e.g aggression into components that can be observed and measured
160
what are the Pro's and Con's of using structured observations
Pros: Operationalised Behaviour categories – easier to record data - systematic - if there is more than one observer, the standardised behaviour schedule results in greater inter-observer reliability -Quantitative data is produced – easier to analyse and compare behaviour Cons: issues with internal validity - researcher may miss crucial behaviours - so may not provide full picture of behaviour - so what was intended to measure not actually measured
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Sampling methods
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what are the wo sampling methods a researcher may use in structured observations?
time and event sampling
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what is event sampling?
Counting the number of times a particular behaviour (the event) occurs within the group. e.g number of passes between goal keeper and defenders in a football match – the researcher would add up how many passes were made between players.
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what are the strengths and weaknesses of using this ample?
strength: Useful for when the target behaviour happens infrequently and could be missed if time sampling was used. Cons: If the specified event is too complex, the observer may overlook important details.
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what is time sampling?
Recording behaviour within a pre-established time frame. e.g in the football match the researcher is only concerned with the goal keeper so they will record what they do every 1 minute.
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what are the pros and cons of time sampling?
Pros: Reduces the number of observations that have to be made. Cons: The instances where behaviour is sampled might be unrepresentative of the observation as a whole.
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Correlation
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what is a correlation?
the relationship/association between 2 or more co-variables
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what is the difference between experiments and correlations?
the research manipulates the Iv to see the change on the DV in an experiment whereas in a correlation there is no manipulation. the researcher just identifies if there is a correlation/assciation
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Correlation ≠ causation. explain this?
there may be a correlation between 2 variables but does not mean one caused the other. merely just an association
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what are the strengths of correlations?
Correlational studies are an ideal place to begin preliminary research investigations. Since they measure the strength of a relationship between tow or more variables, they can provide valuable insight for the future research. They are quick and economical to carry out. No need for a controlled environment because you are not controlling variables. Secondary data (e.g. government statistics) can be used, which means it is less time consuming than an experiment and removes the issue of informed consent as information is already in the public domain.
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what are the weaknesses of correlations?
They can only tell us how 2 variables are related but not why. Cannot establish cause and effect. This means that the researcher can not conclude that one variable caused the other, As there could be a third variable. Caffeine may not cause the anxiety, anxious people may drink more caffeine as a result of being anxious. The third variable problem – there may be a third intervening variable related to both variables being measured which is causing the relationship. Because of these issues, correlations can be misused or misinterpreted. The media in particular may present a correlation as cause and effect, e.g. that people from broken homes are more likely to become criminals, suggesting that criminality is caused by a broken home. Moreover, Correlations only identify a linear relationship and not curvilinear. E.g Yerkes-Dodson Law
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what is the Yerkes-Dodson law, what does it state?
performance is at it's best when there is a moderate (optimal) level of arousal and will deteriate if arousal is too high or too low
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Types of data
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what is quantitative data?
is numerical data that can be statistically analysed and converted easily into graphical format
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what are the strengths and weaknesses of using quantative data?
strength: easy to analyse large amounts of data, thus easy to conduct statistical tests which allow for comparisons and trends to be identified weakness: not very representative, gain little insight, since data is generated from closed questions, responses are narrow when it comes to explaining human behaviour. Therefore lacks validity
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what is qualitative data?
non-numerical data, language-based data expressed in words which is collected through unstructuted interviews
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what is the advantages and disadvantages of using qualitative data
Adv: rich in detail, Participants are free the answer how they wish gives broad insight - more representative - external validity increases Disadv: can be subjective due to researchers analysing the rich and lengthy detail of participants answers, which relies on their thoughts and opinions. It is also harder to analyse
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what is primary data?
data that has been collected First-hand, for a specific reason and reported by the original researcher. (sometimes referred to as filed research)
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what are the advantages and disadvantages of primary data?
Adv: authenti city - collected for the sole purpose of being investigated to suit aims of research - which enables the researcher to exert a high level of control. Disadv: time consuming and takes a lot of effort. which means that it will be more expensive
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what is secondary data?
information collected by other researchers (second-hand/ data that already exists) for a purpose other than the investigation (sometimes referred to as desk research because the significance is already known)
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what are the strengths and weaknesses of using secondary data?
strength: less time consuming and less expensive to collect. requires little effort which makes collection easier than Primary. weakness: may not be accurate - not reliable done by another person
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displaying quantitative data
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what is the advantage of using a table to display quantitative data?
- easily compare important values without needing to interpret data - summarises key data
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what is a scattergram?
a graph that shows the relationship between 2 sets of data by plotting pints to represent each pair of scores.
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when should a bar chart be used?
used to show frequency data for discrete variables
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when should a histogram be used?
histogram present frequency data for continuous variables
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peer review
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what is peer review?
Peer review is an assessment of scientific work by others who are specialists in the same field, to ensure any research intended for publication is of high quality.
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this involves..?
This involves all aspects of the work to be scrutinised by a small group of subject-specific experts. These experts conduct an objective review and are unknown to the researcher or author of the work.
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what are the 6 aims of peer review?
- provide recommendation about whether or not should be published in public domain or need revision - check validity of the research and ensure it is of high quality - assess it's appropriateness of the procedure and methodology - judge the significance of the research to wider context of human behaviour - to asses work for it's originality and ensure that other relevant research is sufficiently detailed - to inform allocation of future research funding to worthy investigative processes
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what are the strengths of peer review?
The benefits of peer review are clear, it establishes validity and accuracy of research. It also means certain areas of research are open to constructive criticism. The process helps to prevent any substandard research being released which protects the reputation of the discipline. There is less opportunity for plagiarised work or duplications, meaning journal articles will become known as trusted publications.
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What are the Limitations of Peer review?
since peer reviews are often anonymous in their reporting on the academic research, there is a possibility that they will use this fact as a means to criticise their rivals. This is ually due to the fact that there a limited funding for new research so element of competion could could bread jealously amongst researchers. As a result, inacurate or unfair critisicms may be recived following the peer review process which is not a valid reflection of the quality of the research Another issue with Peer review is that it is difficult to find a suitable peer. This is especially true when conductin gpsychological research on new or ground-breaking topic. A possible consequence of this is that research which is not of high quality will be passed as suitable for publiccation as the researcher did not fully comprehend thhe aims or content. Conversely, results may be published which preserves the status by supporting existing theories more readily than more unconventional research, Resulting in positive publication bias
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Implications of psychological research and the economy
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what does implications mean?
Implications means how does what we learn from the findings of psychological research influence, affect, benefit or add value to our economy.
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What are the implications from attachment research into the role of the father?
Recent research shows importance of father BOTH parents equally capable of providing emotional support Development of flexible working arrangements Share childcare Maximise their income – contributing to the economy
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what are the implications in psychopathology research into mental illness?
Absence from work costs the economy £15 billion per year Third of absences from work due to mental illness Research helps to maintain a healthy workforce Quicker diagnosis means quicker treatment More treatments available – drugs, CBT Sufferers can return to work which benefits the economy
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what are the implication in memory resaerch into EWT and the cognitive interview?
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what are the implications in social influence research on social change
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Meta -analysis
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what is a meta-analysis?
refers to a process whereby investigators combine findings from multiple studies on a specific phenomenon to make an overall analysis of trends and patterns arising across research.
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what are the strengths and weaknesses of meta-Analysis?
strength: since many studies are combined, the conclusions drawn will be based on a bigger sample which provides greater confidence for generalisation and increases validity of results weaknesses: issues of bias. since the researcher is using secondary data, they may pick and choose what to include in their finding. therefore there is a possibility of bias as they do not accurately represent all of the relevant data on the topic
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DONEEEE!!