BRM Flashcards

(131 cards)

1
Q

5 levels of evidence strength?

A
  1. meta analysis
  2. experimental studies
  3. correlational studies (longitudinal and cross sectional)
  4. qualitative studies
  5. ad hoc personal observations
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2
Q

2 most important concepts of study design?

A

validity| reliability

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3
Q

Define validity

A

Are we really measuring what we say we are measuring?

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4
Q

Define reliability

A

Can our measure produce the same results everytime?

  • Provided the thing we are measuring is not subject to change.
  • For example, personality is supposed to be a stable trait and therefore a measure of personality should get the same (or very similar) results when a person is tested at different times.
  • However, some things such as attitudes can change and the very point of our study may be to see if a certain intervention changes attitudes.
  • For example, we might want to see if we can change attitudes to engaging in pro-environmental behaviours.
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5
Q

Existing data advantages

A
  • If open source it is easy to access.
  • Most often does not require lengthy ethical assessments.
  • For certain types of study, it is the only practical source of information (see Lecture 2).
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6
Q

Existing data disadvantages

A

We must think carefully about its validity – is it really a measure of what we think it is?

  • Qualitative data needs skilled manipulations - especially in relation to reliability (see Lectures 3 and 4).
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7
Q

Define coding

A

the process of classifying observables such as behaviours into specifically defined categories for data analysis

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8
Q

What is a code book/scheme?

A

descriptive document that explains how data has been defined and classified in order to be converted into numerical (often categorical) data

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9
Q

Observational studies - advantages

A

Observations allow us to study what people actually do.

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10
Q

Observational studies - disadvantages

A

Can generate enormous quantities of qualitative data.

  • It can be hard to decide what is important.
  • Can be very difficult and time consuming to convert into data.
  • Requires experience to develop reliable data coding schemes.
  • If the observer is present (or known about) it can change the behaviour of the observed.
  • If the observer is not known about it there are a lot of ethical issues to be addressed.
  • Because the participants have not given consent to be observed.
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11
Q

Questionnaires - advantages

A
  • A relatively large number of people’s responses can be collected.
  • The participants may be widely geographically distributed.
  • Reliable scales can be developed.
  • Scales allow direct comparability between subgroups’ responses.
  • Or direct comparability at two or more different time points.

They are less time consuming than interviews.

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12
Q

Questionnaires - disadvantages

A
  • They require a lot of skill to do well.
  • The issues of concern are pre-determined by the researcher.
  • There is no opportunity to explore issues in more depth.
  • They have poor response rates.
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13
Q

Interviews - advantages

A

Allow the researcher to get detailed information about what the participants think.

  • Are not totally based on the researchers’ preconceptions and allow follow up of unforeseen issues.
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14
Q

Interviews - disadvantages

A
  • All the same problems as other qualitative data collection techniques, i.e. what to do with large quantities of descriptive data.
  • Responses may be affected by the individual interviewer.
  • Participants may not want to reveal information about sensitive subjects in a one-to-one situation.
  • Very time consuming.
  • Often difficult to make comparisons between participants.
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15
Q

Sorting tasks - advantages

A

Can access the way people think about a specific domain without researchers’ preconceptions.

  • Can reveal concepts that participants find difficult to verbalise (e.g. expert knowledge).
  • Useful for understanding knowledge outside the researchers’ area of expertise.
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16
Q

sorting tasks - disadvantages

A

Difficult to initially develop.

  • Time consuming.
  • Difficult to analyse.
  • Only suitable for small samples of participants.15-25
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17
Q

What is a profile?

A

The results sorted items produce against the categorical measures they are assessing.

It shows the way people think about the items

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18
Q

What is the Likert scale?

A

an odd number of responses to elicit a response about an emotional attitude or behaviour. usually 1 to 5 or 1 to 7.

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19
Q

What is a t-test?

A

The t-test assesses whether the means of two groups are statistically different from each other. This analysis is appropriate whenever you want to compare the means of two groups, and especially appropriate as the analysis for the posttest

-only two-group randomized experimental design e.g. time taken to walk in vs out of a dentist

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20
Q

What types of data might we never have?

A

That which is withheld for security reasons.

  • In-house security research has the full data.
  • Those of us working in academia have to live with it.
  • Develop and test models based on what we have (see Lecture 5 BRM for example).

Where those present are killed.

  • Both victims and offenders.
  • A potential systematic bias – (e.g. does victim resistance work) – we have little or no data for those cases with the very worst outcomes.

Other biases: Eye witness and victim testimony.

  • Victims and witnesses of violent and traumatic incidents have unreliable memory.
  • Many academic studies.
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21
Q

What is Crenshaws list?

A

unofficial list of reputable news sources:
BBC
Telegraph
Observer
Independent
Times
Guardian
Washington Post
New York Times
CNN

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22
Q

Types of media bias

A
  • Occur near to base (theirs),
  • Have the potential to affect their own readers,
  • Are “unusual”,* Or result in loss of life.
  • “Low key” incidents and unsuccessful missions may not be covered.
  • Results in public perception that (for example) hijacks don’t happen any more and that terrorism is aimed only at killing people.
  • E.g. Many terrorist attacks are against property – but these are rarely reported.
  • Is the media “forcing” terrorists to take more serious action?
  • Media does not report unsuccessful crimes very often.

Selective reporting makes violent crime seem more prevalent than it really is.

  • There is a whole literature on “Fear of Crime”.
  • Those who are most fearful are not those most likely to be victims.
  • Contagion or Copycat crimes.
  • There are a number of crime types that are thought to be prone to so called “contagion” effects.
  • There are studies that demonstrate this statistically. - E.g. Hijackings, product tampering, mass shootings. (And suicide).
  • News restrictions/blackouts.
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23
Q

Basic issues of media sources

A

Choose the most reliable news sources possible – “Crenshaw’s List”

  • Use more than one account for each crime studied.
  • We tend to use three reputable sources and compare the content.
  • “Triangulation” of sources.
  • What if they don’t agree?
  • Two out of three agree? If they all disagree get a fourth.
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24
Q

Press Contradictions on detail - reasons?

A

Breaking news may not yet have very many details available to report.

  • Therefore contradictions between reports may be time related…
  • Were the reports published at different stages of the incident meaning new information may have only just come to light?
  • This is why for your exercise I said choose reports close to the time the crimes were committed.
  • But in real research you will rarely be creating data on breaking news and have time to sample reports over a period of time.
  • GTD allows for updates if more information becomes known. But only uploaded once a year.
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25
Reasons for omissions in news reported data
That is one source reports information that another source does not. * This demonstrates why more sources provide better coverage. * Creating data this way is incredibly time consuming. * Which is why most researchers just reach for an established data base. * Even if it is not quite right for their research questions (more on this in later weeks). Security reasons
26
WHat is triangulation of sources?
where you take three sources and go with the majority (minority report) and if all 3 contradict, then widen the number of sources used till a correlation is found (using Crenshaws list as a limiting factor)
27
is there such a thing as a terrorist profile?
NO
28
Can offender profiling be used to predicit if someone will commit a crime
No
29
what is inter-rater reliability?
the correlation between different raters using the same code scheme
30
What might codebook variables look like?
Textual - name of country, city etc Numerical - number of perpetrators, victims, deaths, injuries, hostages etc Categorical - qualitative options eg weapon type - hand gun, long gun, bladed weapon, improvised weapon etc Dichotomous - did X happen? e.g. ransom demand, hostages taken etc
31
Difference between objective and subjective variable
Objective - facts - eg date of an incident, location, weapons used etc Subjective - need careful defining as open to significant interpretation - eg motives
32
Rules to construct variable definitions (5)
1. Don't over interpret your data 2. Avoid scales 3. Categorical variables must be inclusive 4. The categories of categorical variables must be mutually exclusive 5. Are you dealing with missing data?
33
Define - 1. Don't over interpret your data
* Don’t read into things… * For example, avoid making assumptions about why the perpetrator is doing something (unless this has been established externally some how, e.g. in a note they left). * Stick to observables that can be said to have happened or not. * For example, while preparation and planning are potentially important, identify the specific behaviours that you are taking as indicators of these things and turn them into variables rather than the more abstract concepts themselves. * For example, any of these phrases in a definition will affect your reliability. * “More violence than was necessary” * “A great deal of violence” * “Were highly aggressive” * Because they require your second coder to make a judgement which will introduce potential unreliability
34
Define - 2. Avoid scales
Avoid anything that involves judgements. * Scales (e.g. 1 to 5) require an opinion from the coder. * E.g. low violence, medium violence, high violence. * This is just a judgement call. * You need operational definitions. * You need to specify exactly what coders should take into consideration. * Try to make it as easy as deciding whether something happened or it did not.
35
Define - 3. Categorical variables must be inclusive
* If your variable is categorial you must account for all eventualities. * Not just your 3 cases here – imagine this will be a real research project with many more cases to be included. * Your scheme must be able to accommodate many more other cases that may arise. * Often the other categories will only become apparent as you start to code a larger sample. * This is fine – you can alter it as you go along – until your data are ready for analysis. * Many schemes (e.g. GTD) have an “other” category for things they haven’t expected.You can change with time, BUT must change the historical data when you do
36
Define - 4. The categories of categorical variables must be mutually exclusive
* This is a problem for many published schemes. * They appear to have started with categories that are NOT mutually exclusive. * And then they have had to solve it in less than optimal ways. * Because it would be too difficult to go back and change things when you have already invested in the scheme. * You see it in the GTD. e.g. weapons - what if they have more than one weapon type?Does no mean no or just 'not reported'?
37
5. Are you dealing with missing data?
* Do you need a “unknown” category? * Is it really a no or is it just not reported?* For example, did the hostage takers verbally abuse the hostages? Yes/no * The first case you read says that they did, so you can code “yes”. * The next case says that they were very polite to the hostages, so you can code “no” they definitely didn’t. * The third case doesn’t mention anything at all about what they said to the hostages. * So it can’t be a “yes” or a “no”, it must be unknown? * You need a third category for unknown. * Keep as much data as possible when first coding because you can always collapse the categories later but you can’t get the original back again.
38
Why do we study expert decision makers?
to improve decision making| to understand it to develop decision support systems
39
Why is it difficult to understand expert decision makers?
Researchers do not get access to the people the commissioning might be through the decision makers themselves Access to the data might be difficult to manage
40
What is a retospective study?
where you go back over a closed case for people to talk through how decisions were made. but difficult due to confidentiality
41
What is factor analysis?
Statistical analysis comparing highly correlated variables Eg I like going to parties might link to I enjoy meeting new people, and with strong agreement with other statements can lead to identification of personality traits
42
What are 2 types of factor analysis?
Exploratory| Confirmatory
43
What is exploratory analysis?
No set hypothesis Use data to make groups
44
What is confirmatory analysis?
Start with groups and see if data fits the mold
45
Define survey
A Survey is a general term for any kind of data collection on people’s opinions or behaviour. E.g. A market researcher asking how you found the facilities at an airport.
46
Define questionnaire
A questionnaire is a set of questions (usually written) that people are asked to respond to – usually on a rating scale. Thus, a questionnaire can be used as part of a survey What people do, not how they think What, how, when, how many...
47
What simple response categories can be used in questionnaires?
* Open ended: the person writes their answer. * Which brand of toothpaste do you buy? * How old are you? * Category tick boxes: Are you aged 18-25, 26-35, etc. * When should you have categories not actual replies? * “Sensitive” data; Arbitrary banding; Unable to recover detail. * Which of these news sources do you read? (tick all that apply) * How often do you read them? (daily, weekly, monthly). * If the question needs them to choose only option from a selection… * Then just like your variables for Content Analysis the categories must be exhaustive and mutually exclusive. * The use of “Other” as a category. * Transport to work example…all that apply? Or the longest distance?
48
What value is used for a missing answer for questionnaires?
either 9 or mode
49
Ways to deliver a questionnaire?
telephone survey researcher led questioning paper based questionnaires Online surveys
50
Telephone surveys pros and cons
* Can get to a wide variety of people geographically. * How will you select your sample? * Random number dialling? * Not everyone has a landline or a mobile. * And this is related to age – i.e. a biased sample. * People are often annoyed by cold callers. * It will rarely be a good time for them. * You could pre-arrange a good time. * With postal questionnaires, at least they can fill it inwhen they choose. But they mainly forget or throwit away. * Telephone surveys are not used very often.
51
Researcher read questionnaire pros and cons
The researcher reads the questions to the participants and fills in the answers for them. * Can be pre-arranged by appointment… * Or opportunistic, e.g. asking people in a public place. * Often used by market researchers on the street. * This is the same as a structured interview with pre-determined response choices. * The challenge is getting people to stop and take part. * Useful if the respondent has difficulties with reading/writing.
52
Paper based questionnaires. pros and cons
* Paper based questionnaires. Can be: * Handed out to people face to face, and: * Completed there and then (e.g. in a class). * Taken away and return by post or to a central point. * Sent out in the post. * The challenge is getting people to send it back. * See response rates. * You must report your response rates – i.e how many you sent out compared to how many you got back. * Your response rates will be low.
53
Online Surveys pros and cos
* For example: * Surveynet.ac.uk * Smartsurvey.co.uk * Surveymonkey.co.uk * Onlinesurveys.ac.uk * Here at Imperial students have access to: * Qualtrics * See Imperial website. Also gives tips on writing questions. * Caution: This makes it seem very easy to produce and send out questionnaires. * Fine for a survey but if you want a scientific product you need to be trained…these methods are what psychology students are doing for 3 or 4 years! I am giving you the basics of behavioural research methods. * Even for a simple survey you still need Ethical approval * The ethics lecture in SiC is part of this module andexaminable.
54
problems with internet and paper questionnaires
In common with postal questionnaires: *People may ignore the inclusion criteria and fill it in even if they are not in the desired demographic category. *Especially if there is an incentive such as a £5.00 Tesco voucher. *Very easy to get bored or affronted and just hit exit. *No knowledge of non completers (see later). But also for internet questionnaires: *Reach a selective (biased) population of users. *Okay if you are aiming for a young, relatively wealthy and educated sample. *On the positive side they are cheap and fast to distribute.
55
How to improve questionnaire response rates
* Don’t make the questionnaire too long. * Four sides A4/40 questions max as a rule of thumb, but depends… * It can be more if the participants are motivated insome way. E.g. it will improve their own experience of something, e.g. their local area. * Incentives help – tokens, entry into a prize draw. * Explain why the results of the study are important (in your cover letter). More likely to give up their time. * They need a prepaid return envelope if posted. * Coloured paper is helpful in an office environment. * Sending reminders – if you know who has received the questionnaire and it is not too expensive (e.g. email reminders).
56
What should you consider when conducting populations sampling measurements?
representative? Random? Convenience? Systematically biased - self selected; accidental? Chosen sub samples - women, commuters, students Ask for demographic details or focus on the group only
57
What is volunteer and completion bias?
* Only a small proportion of people given questionnaires return them. * If you send them out randomly then you only have demographic data on those who reply. * We do not know anything about the people who didn’t respond. * Those who answer may be different somehow – and in a systematic way. * For example, those who volunteer to take part in research are typically more educated than the general population average.
58
Problems when the wrong people fill out the questionnaire
* Even though you specify who you want to complete the questionnaire in your introduction… * You get people who were not in your inclusion criteria. * This can happen with paper and online questionnaires. * Some people add a question to check. * For example, you only want male students and said so at the start. * But now a whole load of women have filled it in and ticked female on the questionnaire. * Did they not read the introduction? * This will be particularly problematic if there is a financial incentive.
59
Wording questions for questionaires
* Keep questions short and simple.Avoid question that are too general. * For instance “Do you agree with current terrorist sentencing policy?” * Covers much they may not know about, or they may agree with some but not all aspects.Avoid implying the socially desirable answer or asking leading questions: * Most people think single use plastics should be restricted, do you? * Do you agree that terrorists released from prison are a serious danger to the community?
60
Question types to avoid in questionnaires
Modifiers/qualifiers two part questions other peoples views negative directional questions/double negatives
61
other questionnaire methods (*)
button push for one question line measure (need to measure, easier to use a Likert scale) anchoring (eg pain scale) pick a day - how to pick an 'average' day Semantic differential scale - old and not used much nowadays
62
Things to go with a questionnaire?
An introductory letter explaining… * Who you are * What the research is about * What is required of them * A number of things required by ethics (which we will covered in SiC). * Information on how to return the questionnaire.
63
Potential questionnaire sub sections
* Often start with “About you” * Here you collect any demographic information you need. * Age, gender, education, etc. * And you need to end with: * THANK YOU VERY MUCH FOR YOUR TIME AND CO-OPERATION * Put this centred at the bottom of the last page.
64
How to tackle anonymity in a questionnaire?
* You can’t collect any information that could identify the respondent. * But you must be able to find that person’s data should they wish to withdraw it from the study. * Number the questionnaire with a code. * And now you have to explain to them what the number is for and that they should remember it.
65
How do you treat open ended questions in a questionnaire?
with content analysis
66
what is Cronbach's alpha?
a measure of internal consistency
67
What value is considered reliable for Cronbach's alpha?
Moderate - 0.6-0.7/8>0.8 is considered very good >0.95 might indicate issues with experimental design with too much redundancy in it
68
what are the big 5 personality traits?
openness conscientiousness extroversion agreeableness neuroticism
69
What are you looking for in a questionnaire pilot?
Wording issues Clarity of questions distribution of responses leading questions
70
what are the causes of all mid point answers for questions?
not in the persons knowledge/experience meaningless questions too personal/sensitive
71
How do you avoid skewed distribution?
wording of the question:I MIGHT find jury duty QUITE difficult; toI WOULD find jury duty VERY difficult
72
What is sentence mapping?
where you break a sentence down into facets and use the same core sentence with different facets to see how the different wording might affect answers.e.g.A COUNTRY has a RESOURCE which is USED IN A WAY for a CERTAIN PURPOSE
73
What is facet theory
a framework for defining a research domain
74
what is a prospective study
a study where you ask someone to self report their reactions to a situation
75
what is a structuple?
a route through a mapping sentence
76
Issues with structuples?
can lead to a high number of variables (>500 with 20 variables) so research must be limited with the possibility of other researchers working of different combinations of structuples variables need to be interpreted consistently eg loved one could be different between wider family member or partner variables need to be consistent and work together eg if you are with someone then further facets need to logically work, so cannot have items like 'you were alone' using terms like 'loved one' can be highly provocative
77
Why do we avoid skewed distributions?
as this means the question is to (un)provoking
78
What is the principle of contiguity?
more similar facets structures will be more similar empirically
79
What is SSA?
Smallest space analysis - a form of multidimensional scaling each point represents a questionnaire item higher correlation, closer together the points are shows overall relationships between questionnaire items should be able to partition space for different elements
80
What is psychometrics?
Science of measurements How to: Quantify measurement tools Validate measurement tools Score measurement tools
81
Difference between assessment and test?
Assessment - skilled and trained person eg psychologist Test - untrained to administer the test You can fail a test not an assessment
82
What do psychometric tests measure?
Personality Ability/intelligence Motivation and values Clinical constructs (depression etc) Economics
83
What traits do psychometrics measure? (*)
Diagnosis Job selection Job fit Understanding personality Model relationships Ability
84
What are sorting tasks?
collect qualitative data on how people think and feel about an subject usually in an interview setting time consuming
85
Types of sorting task
Q-Sort Conceptualisations Free sort Structured sort Semi structured sort Multidimensional Scalogram analysis (MSA)
86
What is a Q sort?
Print statements on cards and participants sort into strongly agree and disagree Like a questionnaire but forces a positive or negative state onto each statement and can only have a certain amount in each category so creates a forced distribution
87
What is multiple sorting task/procedure
A way to understand what people think about things Get the answers without researcher imposed preconceptions
88
Issues with semantic differential scale
Words are not always opposite ends of a scale Words are not necessarily those they would use spontaneously or apply to the situation They are provided constructs which could be leading the participants to a desired outcome if randomisation is not present Not all constructs are linear constructs or quantitative
89
How to conduct a sorting task
Items on cards with short label on each one (15-40 items) Each coded All from same domain, not too similar and not too different Then conduct with participants: Free sort Structured sort Semi structured sort
90
What is a free sort?
Where participants sort the items into as many groups and categories as they see fit with no constraints
91
What is a structured sort?
You choose the concept of the sort and they choose the categories eg price - high, medium, low and why
92
What is semi structured sort?
You choose concept, they choose categories eg you choose price, they choose how to categorise them
93
How do you record info for sorting tasks?
With each sort record reasons why they have categorised each item the way they have
94
What data comes from sorting tasks?
Constructs people applied eg material, price etc Categories within each construct How the constructs were applied to each item
95
How can sorting task data be displayed?
Multidimensional scalogram analysis
96
How can a sorting task be used to see how someone feels about a specific thing?
Put the item as one of a number to f items and see how they rank it in comparison to the other items
97
Broad approaches to sorting task designs (4)
Individual - How a chief of police conceptualises crime (SME information interrogation) Groups - How do people conceptualise crime Comparison - offenders and non offenders conceptualise crime Intervention measurement - Changes in how offenders conceptualise crime pre and post rehab
98
What do gaps in MSA plots mean?
A combination of events that cannot exist Poor sampling A gap in the market?
99
Basic ethical issues to address (9)
risk of harm to participant risk of harm to researcher Informed consent Vulnerable populations Non-discrimination Privacy, confidentiality, anonymity Data storage, use, destruction Scientific merit Approval of changes
100
Ethics - how to manage harm?
assess risks in probability vs severity Participants should be exposed no more danger than they experience in everyday life procedures in place to manage and reduce risk measures in place to monitor distress, provide access to support networks
101
What is psychological harm?
Stress, anxiety, humiliation
102
Causes of psychological harm?
invasion of privacy exposure to degrading treatment humiliation challenges to self image, social status, personal relationships etc disclosure of illegal/deviant behaviour Trigger topics risk of leaving person vulnerable Deception Disclosure of info that might lead to persecution, state, local, job etc Access to data such as medical records, job information etc
103
Ethics what is informed consent?
providing the participants with information about what the research is: 1. trying to achieve, 2. how, 3. Risks; and 4. with info on how to withdraw
104
Ethics - what is genuine choice?
the participants can take part or otherwise without fear of reprisal e.g. power dynamics are not present, rewards are appropriate and not coercive
105
Ethics - capacity to consent?
must be over 16, some cases over 18 under then guardian must provide consent must monitor for signs of distress
106
Ethics - define vulnerable populations
Children Learning difficulties Engaging in acts against societal norms (criminals) Prison/probation populations
107
Ethics - handling discrimination
It can be appropriate, but only if it is spelled out why in the plan - eg the work is on womens health you can exclude men
108
Ethics - handling privacy
must never identify people unless you have written consent still need to have a UIN for each participant so you can remove their data is they withdraw consent Make clear if withdrawal is not an option after a certain time
109
Ethics - data handling
Inform board: what it is being used for How it will be used (papers, conferences etc) Retention periods How it will be destroyed
110
Ethics - what is scientific merit?
Why is it important? Is it a waste of money? Respects the participants must be worthwhile and for the common good
111
Ethics - clear aims and benefits
Demonstrate to ethics and lay people why the research will be useful and what it will achieve
112
Ethics other issues?
Deception is not appropriate Observations must be consistent with the environment (crowded place vs private location eg toilet) Change management of the experimental process
113
Ethics -respecting peoples time
must not deceive acknowledge right to refuse withdrawal of participation
114
Ethics - debriefing
provide as minimum a debrief sheet for the participants essential if the research was not to test what was initially presented to them as an opportunity to withdraw consent
115
Cohens Cappa
Used to calculate inter-rater reliability when working with categorical data, two raters, independent ratings and same set of items, and when accounting for chance is important K = (Po - Pe)/(1-Pe) Po = Observed agreement by raters Pe = Hypothetical probability of chance for ratings
116
Focus Group - Advantages
Compared to interview: * Quicker to sample 10 peoples views at the same time if they are all there at once * Therefore Cheaper * And you can say more people were involved
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Focus Group - Disadvantages
* Can be dominated by one or two assertive people * Social influence - People change their views to fit those of the group * Very bad for mixed status workgroups *As the researcher, group discussions are harder to control * People take eachother off on tangents * Can be a good thing if you want creative or unusual ideas
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Demand Characteristics
The tendency to do what one is asked in a psychology experiment. They may not agree or think of the construct in the way the researcher is asking them to conceptualize them
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Response set
When the respondent selects from the same part of, for instance, a likert scale because the questions are all measuring the same construct the same way. To fix this you would reverse some of the questions so the respondent has to select different parts of the scale
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Anchoring
Define the points of the scale effectively, e.g. for a pain scale an anchor should be given so the respondent understands what a 10 is and can select accurately based on this
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Before-after studies
We might compare the frequency of something before and after a significant event
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Correlational studies
Take two sets of numerical data and see if they are related
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Confounding Variable
A variable that influences both the independent and dependent variable, causing a spurious association It's an extra variable that you did not account for. They can ruin an experiment and give you useless results
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Pre-existing data
Pre-Existing Data: This type of data already exists and can be obtained from various sources such as government statistics, business reports, historical records, etc. pros: easy access, saves time and resources. cons: It may not fully meet the needs of the research question, or the data quality may not be controllable.
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Collected Data
This type of data is collected by the researchers themselves through field observations, experiments, or simulations. pros: More precise targeting of research questions, providing higher quality data. cons: The process of collecting data can be time-consuming and costly.
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Elicited Data
Elicited Data: This type of data is mainly obtained from research participants through interviews, questionnaires, focus groups, etc. pros: This type of data can directly capture the views, attitudes and experiences of the research subjects, and is very valuable for understanding human behavior and psychological characteristics. cons: The derived data may be affected by factors such as participants' bias and dishonest answers, thus affecting the accuracy of the data variables in the experiment
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Decision Making Research
Decision Making Research is an academic field that involves the study and analysis of the decision-making processes that individuals or organizations adopt when making choices. decision making Research covers a variety of subject areas, including psychology, economics, management and neuroscience, among others.
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Knowledge Elicitation
Interviews - This is a direct method of data collection, where researchers engage in one-on-one conversations or group discussions with subjects to capture their perspectives, ideas, experiences, and story. Observations - In this method, the researcher observes and records the behavior, interactions, or environment of the research subjects Protocol Analysis - Expert talks about what they are doing as they do their job It is a method of collecting data in practice, which is especially suitable for studying complex cognitive processes, such as decision making, problem solving or learning process. in agreement In the analysis, the researcher usually asks the participants to make a "thought report" as they perform the task, that is to say what they are doing, why they are doing it, and what they are doing. What to think about. Conceptual Methods e.g. Sorting Tasks, conceptual mapping, vignettes This approach includes a range of tools and techniques for exploring and understanding how people think and understand. For example, sorting tasks can be used to Understanding how research objects classify and organize information; conceptual mapping (conceptual mapping) can reveal people's thinking patterns and relationship networks; short stories or situations Vignettes can be used to explore the likely responses or behaviors of a research subject in a given situation
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Real Time Studies
Studying them as they are making real decisions in work Advantages The data you collect is immediate and current, reflecting the situation as it is happening. It allows for the possibility of real-time adjustments to the study or intervention based on the observations. It may be more accurate since it doesn't rely on recall or predictions. Disadvantages It might be more resource-intensive (time, money, manpower) as it requires immediate analysis and potentially continuous monitoring. It may be difficult to implement in certain circumstances where immediate data collection isn't feasible. It may be influenced by observer effects, where the presence of the observer influences the behavior of the study participants.
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Prospective Studies
asking them about what decision they would make in a hypothetical future scenario Advantages the content of the decision scenarios can be manipulated to suit the research. It often has rigorous design and can control for confounding variables. It allows for the direct observation of outcome events. Disadvantages It can be costly and time-consuming. we gain information about what people say they will do, and there is no way to know if this is what they actually will do. Prediction of future trends or behaviors can be uncertain and may be influenced by unforeseen factors.
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Retrospective Studies
asking them about decisions they made in the past, perhaps in relation to a specific case study. Advantages You are asking them about a real world case Disadvantages Time lapsed: The more time that passes, the more likely it is that participants will forget… Cognitive distortions can alter the way that the participant reflects on the decision that they made. Verbalisation - In some cases, people cannot verbalize why they made the decision at the time. Organizational concerns raise concerns about the use of real cases. Security questions about the case may arise.