RESEARCH METHODS Flashcards

1
Q

what is falsifiability?

A

the logical possibility that an assertion, hypothesis or theory can be shown to be false by an observation or experiment

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2
Q

what is objectivity?

A

psychologists should aim to be objective in their work, this means not letting their personal biases affect the results of studies

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3
Q

what is replicability?

A

a study should produce the same results if repeated exactly, either by the same researcher or by another

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4
Q

what is empirical methods?

A

using observations/testing to gain knowledge

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5
Q

what is paradigm?

A

shared set of assumptions about a subject

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6
Q

what is paradigm shift?

A

progress until a scientific revolution occurs (too much contradictory)

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7
Q

what are the three main psychological research methods?

A

objective
controlled
checkable

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8
Q

what is the difference between deduction and induction?

A

deduction is a theory made before the experiment whereas induction is a theory made after the experiment

called the theory construction

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9
Q

what is the dependant variable?

A

the subject/ object that is being measured

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10
Q

what is the independent variable?

A

the subject/object that is being changed

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11
Q

what are extraneous variables?

A

they are anything other than the IV which might have an effect on the DV. these variables can be controlled by the experimenter

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12
Q

what are examples of extraneous variables?

A

age of participants, time limits for tasks, content of word lists

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13
Q

what are confounding variables?

A

these are variables that aren’t controlled for in an experiment

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14
Q

what are examples of confounding variables?

A

weather, mood of participants, personalities

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15
Q

what is operationalising variables?

A

defining variables in terms of how they can be measured so that another researcher could conduct the same experiment again

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16
Q

what are laboratory experiments?

A

experiments carried out in a controlled environment

participates know they are taking part but not the true aim

variables can be manipulated

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17
Q

what are good things about laboratory experiments ?

A

high internal validity - high control over variables so we can be more certain that any change in the DV is due to the IV

easy to replicate - high levels of control and standardised procedures so we can carry it out exactly the same way so we can compare results

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18
Q

what are bad things about laboratory experiments?

A

low ecological validity - participants may not behave naturally so results are not representative of real world settings

demand characteristics - when participants become aware of the investigation so may leas to them behaving in a different way therefore reducing validity

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19
Q

what is a field experiment?

A

conducted in a more natural environment
IV manipulated and DV is measured
participants are usually not aware that they are participating

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20
Q

what are good things about field experiments?

A

high ecological validity - results can be generalised beyond the research setting. due to real-life setting the participants will behave more naturally. there is a higher mundane realism

lack of demand characteristics - participants are not aware of the study so won’t behave differently as a result of this

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21
Q

what are bad things about field experiments?

A

low internal validity - experimenter has less control over the confounding and extraneous variables so cant be sure change in the DV is due to the IV

less easy to replicate - hard for results to be tested and compared due to lower levels of control

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22
Q

what are natural experiments?

A

conducted when it is not possible for ethical or practical reasons to deliberately manipulate an IV

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23
Q

what are good things about natural experiments?

A

allows researcher where IV can’t be manipulated - may be for ethical or practical reasons

high ecological validity - allows psychologists to study the effect of real problems such as the effects of a disaster on mental health

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24
Q

what are bad things about natural experiments?

A

lack of casual relationship - because the iv is not directly manipulated a casual relationship cannot be demonstrated

lack of random allocation - because Iv is naturally occurring the participants cannot be randomly allocated so there may be confounding variables affecting results

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25
Q

what is the quasi experiment?

A

the IV is simply a difference between people that exist eg. gender/age DV is still measured

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26
Q

what is good about the quasi experiment?

A

allows comparison between types of people - no manipulation is carried out but results show difference between people

can be carried out in lab - there is high control / can be replicated

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27
Q

what is bad about the quasi experiment?

A

may be carried out in a lab - therefore low ecological validity

lack of random allocation - IV is naturally occurring so participants cannot be randomly allocated so there may be confounding varaibles

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28
Q

what are some non-experimental methods?

A

observations
questionnaires
interview
case studies
content analysis
correlational analysis
meta analysis

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29
Q

what are demand characteristics?

A

a participant changing their behaviour to meet the aim of the investigation

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30
Q

what is the investigator effect?

A

the effect of the investigation behaviour (conscious or unconscious) on the research outcome

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31
Q

how can we deal with the investigator effect and the demand characteristics?

A

single blind design - when the participant is unaware or the researcher are aware of the research aims of the investigation

double blind design - when neither the researcher or participant are aware of the aims of the investigation this is to avoid demand characteristics and investigator bias

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32
Q

what is a control group?

A

a group of participants who do not undergo a change in the IV condition used as a baseline behaviour measure

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33
Q

what is confederate?

A

an individual study who is not a real participant but who has been instructed how to behave by the researcher

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34
Q

why is random allocation to conditions important?

A

technique used to reduce participant variables so each participant has the same chance of being in any condition

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35
Q

what is randomisation?

A

the use of chance methods to control

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36
Q

what is standardisation?

A

using some standardised procedures and instructions for all participants in a study to avoid investigator effects

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37
Q

what is a pilot study?

A

a small trial run to check procedures instructions work in order to make necessary changes before the real study

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38
Q

what is a hypothesis?

A

is a formal unambiguous statement of what is predicted it must contain both conditions of the IV and the expected outcome of the DV be operationalised and measurable

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39
Q

what is a directional hypothesis ?

A

states whether the DV outcome is expected to be greater or lesser positive or negative it is used when there has been previous research which suggests the direction

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40
Q

what is a non-directional hypothesis?

A

doesn’t state the direction of the DV just that there’ll be a difference it is used when there is no theory / previous research or it is contradictory

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41
Q

what is a null-hypothesis?

A

is a prediction of the difference between the two IV conditions on the outcome on the DV

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42
Q

what is an example of a directional hypothesis?

A

children who sleep for four hours will test worse than children who sleep for ten hours

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43
Q

what is an example of a non-directional hypothesis?

A

amount of sleep the children get will effect there test results

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44
Q

what is internal reliability?

A

asses the consistency of results across items within a test

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45
Q

what is external reliability?

A

same results found after a repeated test

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46
Q

how to asses the reliability?

A

test-retest reliability (external)
inter-observer reliability - compare observations from different observers
measure using a correlation for reliability (+0.80)

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47
Q

what is internal validity?

A

research study shows a trustworthy cause and effect relationship

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48
Q

what is external validity?

A

the extent to which the findings of a scientific study can be generalised to other situations

ecological - realistic

population - applicable sample

temporal - does it stand the test of time

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49
Q

how to asses the validity?

A

face validity - whether it looks like it measures what it should

concurrent validity - whether findings are similar to those on a well established test

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50
Q

how can we improve validity?

A

larger sample size
more realistic setting ect

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51
Q

what is counterbalancing?

A

procedure in psychology that involves arranging the order of conditions or treatments in a way that reduces the influence of other factors

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52
Q

what is opportunity sampling?

A

anyone in the vicinity who is willing and available

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53
Q

what are advantages or opportunity sampling?

A

easy to obtain a large amount of data in a relatively short time frame

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54
Q

what are disadvantages of opportunity sampling?

A

possibility for bias due to participants not chosen representativeness

difficulty of replicating the study sample may not be consistent across settings or time

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55
Q

what is random sampling?

A

all members of the target population have an equal chance of being selected

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56
Q

advantages of random sampling

A

reduces risk of error and bias

gives equal chance of selection in units or groups

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57
Q

disadvantages of random sampling

A

complex and time-consuming

bias that could occur when the sample set is not large enough to adequately represent the full population

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58
Q

what is stratified sampling?

A

reflects the proportions of people in subgroups of the largest population

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59
Q

advantages of stratified sampling

A

Reliable source for sampling

Gives a smaller error in estimation and greater precision than the simple random sampling method

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60
Q

disadvantages of stratified sampling

A

can lead to inaccurate results if the strata are wrongly selected or do not reflect the population

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61
Q

what is systematic sampling?

A

every nth member of the target population is selected

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62
Q

advantages of systematic sampling

A

reduces the potential for bias as the selection is not influenced by the researcher

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63
Q

disadvantages of systematic sampling

A

greater risk of data manipulation

64
Q

what is volunteer sampling

A

a self selected sample often replying to an advert

65
Q

disadvantages of volunteer sampling

A

highly susceptible to bias, because researchers make little effort to control sample composition

sample is likely to be comprised of strongly opinionated people.

66
Q

advantages of volunteer sampling

A

inexpensive to conduct and requires little effort on the researchers

67
Q

what is informed consent?

A

permission from the participants to use them and their data in your study

68
Q

what is deception / being debriefed?

A

deception - no lies (however some causes this is unavoidable)
debrief - pps should be told immediately afterwards when and why the deceptions occurred

69
Q

what is protection from harm?

A

pps should be protected from extreme damaging / lasting physical or psychological harm

70
Q

what is confidentiality?

A

refers to the practice of keeping information private and secure, ensuring that it is not disclosed to unauthorized individuals etc

71
Q

what is the BPS code of conduct?

A

a quasi-legal document to protect pps based on 4 principles
respect
competence
responsibility
integrity

72
Q

what do the ethic committees do?

A

weigh up costs and benefits before deciding whether a study should go ahead

73
Q

what is a naturalistic observation?

A

studied in a natural setting everything is left as it would be normally researcher does not interfere

74
Q

positives and negatives of naturalistic observations

A

pos - high external validity
neg - lack of scientific control

75
Q

what is a controlled observation

A

some variables are controlled, pps know they are being studied usually conducted in lab conditions

76
Q

positives and negatives of a controlled observation

A

pos - highly accurate
neg - expensive

77
Q

what is a overt observation

A

the pps are aware of the observation

78
Q

positives and negatives of an overt observation

A

pos - informed consent is obtained
neg - not representative of the sampling frame / demand characteristics

79
Q

what is a covert observation

A

pps are not aware of the observation

80
Q

positives and negatives of an covert observation

A

pos - high in validity
neg - ethical concerns

81
Q

what is a participant observation

A

observer joins the group being studied, the behaviour is studied from the inside

82
Q

positives and negatives of participant observations

A

pos - ethical
neg - could cause biases

83
Q

what is a non-participant observation

A

the observer watches from a distance does not interact with the people being studied

84
Q

positives and negatives of a non-participant observation

A

pos - allows more objective data so might be more reliable
neg - ethical concerns

85
Q

what is a structured observation

A

an organised observation where behavioural categories and sampling procedures are used

86
Q

positives and negatives of structured observation

A

pos - easy to record
neg - open to observer bias

87
Q

what is an unstructured observation

A

the researcher records all relevant behaviour without a system in place
eg film observations

88
Q

positives and negatives of an unstructured observation

A

pos - increase validity
neg - open to observer bias

89
Q

what are behavioural categorise

A

categories the behaviours intended to be viewed
cats usually decided before the observation takes place
usually put into tally charts

90
Q

what is event sampling

A

counting the number of times of a specific behaviour is occurring within a set period of time eg 2 hours

91
Q

what is time sampling

A

recording any behaviours which occur in a given set time interval
eg recording what is happening for 1 min, every 30 mins

92
Q

why is event sampling good

A

already operationalised, it is now looking for evidence to back it

93
Q

why is time sampling good

A

good if your not sure what you are looking for

94
Q

what is a questionnaire

A

made up of a pre-set list of written questions to which a participant responds

95
Q

advantages of questionnaires

A

can be distributed to lots of people
easily replicable
closed fixed choice questions you can statistically analyse

96
Q

disadvantages of questionnaires

A

social desirability bias
anonymity can cause difficulty in knowing if pps have told the truth

97
Q

what are open questions and give an example

A

respondent produces own answer expressed in words
eg how are you finding studying psychology

98
Q

postives and negatives of open questions

A

pos - responses are not restricted
neg - difficukt to analyse

99
Q

what are closed questions and give and example

A

respondent have limited choices eg how many hours do you spend on psych HW per week

100
Q

positives and negatives of closed questions

A

pos - easier to analyse
neg - responses restricted

101
Q

what are interviews

A

face to face or online interactions between an interviewer and interviewee

102
Q

advantages of interviews

A

better awareness of truthfulness of interview
eg body language

103
Q

disadvantages of interviews

A

risk of interview bias

104
Q

what are structured interviews

A

a list of pre-determined questions asked in a fixed order

105
Q

what are unstructured interviews

A

no set questions there is a general topic to be discussed but the interaction is free flowing and the interview is encouraged to elaborate

106
Q

what are semi structured interviews

A

a list of questions that have been worked out in advance but interviewers ask further questions based on previous answers

107
Q

what is social desirability bias

A

giving socially favourable answers due to the presence of the interviewer

108
Q

what is the interviewer effect

A

the effect the effect the interviewer’s presence has on answers causing bias

109
Q

what is a correlation

A

method of data analysis used to find an association between two co-variables

110
Q

what is a correlation coefficient

A

is a number between -7 and 1 which informs us of the strength and direction of the relationship between two co-variables

111
Q

what is the difference between a correlation and an experiment

A

correlation is only assesing the relationship between two co-variables
experiment is looking for a significant difference (cause and effect) between the IV and DV

112
Q

what are the strengths of using a correlation analysis

A

useful starting point for research
relatively economical no need for a controlled environment
secondary data collected
less time consuming

113
Q

what are weaknesses of using correlation analysis

A

no cause and effect can be shown / established
only tell us how variables are related but not why
can lead to false conclusions

114
Q

what is meta-analysis

A

collecting results from larger studies to see an overall picture of the findings

115
Q

strengths and weaknesses of meta-anaylsis

A

strength - creation of larger more varied sample which means we can generalise across larger populations

weakness - publication bias - research may leave out negative / non-significant results

116
Q

what is a case study

A

a detailed in depth analysis of an individual or small group
tend to be longitudinal studies gathering large amounts of data from many sources

117
Q

strengths and weaknesses of case studies

A

strengths - rich, detailed insight enabling the study of unusual behaviour
also often used to support / challenge other large scale research
weaknesses - can be prone to researcher bias
also not reliable and has very little population validity

118
Q

what is content analysis

A

Content analysis is a research method used to systematically analyse textual, visual, or audio content for patterns, themes, and meanings

119
Q

strengths of content analysis

A

strengths - Quantitative and Qualitative: Combines numerical data with deeper thematic insights, making it a well-rounded analytical too

Flexible: Can be applied to a wide range of data, including text, images, videos, and audio, making it versatile for various research fields.

120
Q

weaknesses of content analysis

A

weaknesses - Subjectivity: Qualitative aspects of analysis may involve interpretation, which could lead to researcher bias

Limited to Available Data: Relies on existing content, which may not fully capture the phenomena being studied.

121
Q

what is thematic analysis

A

any emerging themes that are recurrent in the communication are then studied in more depth
more descriptive coding units

122
Q

what is a peer review

A

A peer review is a process used in academic and professional fields to evaluate the quality, validity, and originality of a piece of work—such as a research paper, article etc

123
Q

what are the 3 main purposes of a peer review

A

allocation of research funding

publication of research into academic journals and books

assessing the research rating of university departments

124
Q

what is qualitative data

A

no numerical data
eg questionnaires, words, images

125
Q

what are strengths and weaknesses of qualitative data

A

strengths - find issues that are often missed
suggest relationships between two variables
greater ecological validity
weaknesses - no control over extraneous variables
might be hard to analysis

126
Q

what is quantitative data

A

numerical data
eg tally charts, rating scale, experiments

127
Q

strengths and weaknesses of quantitative data

A

strengths - control over extraneous variables
objective and scientific
gives generalised ability
weaknesses - low ecological validity
might create confirmation bias

128
Q

what is primary data

A

something that the researcher has gathered themselves using there own experimental methods

129
Q

strengths and weaknesses of primary data

A

strengths - identify reliability and validity
you’re collecting it so you are in control of your variables
weaknesses - expensive and time consuming

130
Q

what is secondary data

A

anything you have not collected by yourself
eg historical data and government statistics

131
Q

strengths and weaknesses of secondary data

A

strengths - not as time consuming as data is already there
are able to investigate stuff you might not be able to investigate now
weaknesses - publication bias
topics missing from secondary data

132
Q

what is nominal data

A

qualitative values - usually tallied - frequencies, not able to rank eg gender

133
Q

what is ordinal data

A

scaled or ranked data. will be subjective ratings. often seen as a score eg 1-5 on a likert scale

134
Q

what is interval data

A

ranked data with equal measurement intervals / standardised measurements and units, objective with arbitrary zero eg temperature

135
Q

what is ratio data

A

same as interval but includes an absolute zero eg cash

136
Q

what is central tendency

A

Central tendency is a statistical measure that identifies the centre or typical value of a dataset

137
Q

what is measure of dispersion

A

how the data is spread out

138
Q

what is the mean

A

calculated by adding up all the scores in a given condition and dividing by the number of participants in that condition

139
Q

what is the mode

A

the value which occurs most frequent in a data set

140
Q

what is the median

A

the middle value in a data set when the values have been ranked or ordered

141
Q

what is the range

A

biggest value in a condition minus the smallest number in a condition

142
Q

what is standard deviation

A

the distance of a score from its group mean

143
Q

advantage and disadvantage of mean

A

pos - give an accurate average
takes into account of all values

negs - not a whole number doesn’t account for lower and higher numbers

144
Q

positives and negatives of mode

A

pos - easy to understand and calculated
neg - doesn’t take into account all the values

145
Q

positives and negatives of median

A

pos - not affected by very small or large values
neg - doesn’t take into account any outliers

146
Q

positives and negatives of range

A

pos - fixed value and easy to calculate
neg - not based on all the measures in the dispersion

147
Q

what does a bar graph represent

A

nominal data
height of bars represent frequencies

148
Q

what does a histogram represent

A

continuous data - ordinal, interval, ratio
shows frequency of data in successive numerical intervals
IV plotted along the x-axis and DV along the y-axis

149
Q

what does a contingency table show

A

raw scores displayed in columns and rows
often asks for you to draw conclusions from the data

150
Q

what does a scatter graph show

A

good visual picture of the relationship between the two variables
aids the interpretation of the correlation coefficient

151
Q

what is a type 1 error (false positive)

A

belief that a significant difference or correlation is found - but this is an error

152
Q

what is a type 2 error (false negative)

A

belief that no significant difference or correlation has been found - but this is an error

153
Q

what is the order of inferential statistical test

A

Pearsons r
related t-test
unrelated t-test
sign test
chi-squared test
spearmans rho
wilcoxon
mann-whitney

154
Q

what is a one-tailed test

A

directional hypothesis

155
Q

what is a two-tailed test

A

non-directional hypothesis