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Slides

Data collection techniques

Cristelle Spaulding Psychology Inglês 15 slides

Slides do conjunto (15)

  1. Research Design

    • Experimental Design- The indepedent variable(s) manipulated and the depedent variable(s) measured.Causal relationships are clear
    • Lab experiments- Carried out in lab with high levels of control
    • - High control to prevent confounding variables, Standardised procedure makes replication easy
    • - Artificial environment may change behaviour, Lacks ecological validity, Demand characteristics
    • Field experiments- Carried out in environment but variables still manipulated
    • - More realistic so higher ecological validity (natural behaviour). Less demand characteristics
    • - Less control over confounding variables, reliability affected
    • Natural Experiments- carried out in environment but variables occur by chance
    • - High ecological, low demand characteristics, use where ethical restrictions prevent research.
    • - Costly, no control over extraneous variables, so reliability affected
    • Correlational Design-
    • All variables are measured and the association between them is assessed. Might be able to draw causal relationships through theory or other considerations. Naturalistic observation and surveys often used.
    • - Can be used where ethical restrictions prevent research, Can help to provide confirmatory evidence, it allows researchers to predict strength and direction of relationship.
    • - You cant establish causation unless a logical sequence of relationship exists.
  2. Data Collection methods

    • Observational methods
    • - Behaviour observed where it naturally occurs, participants may be aware (overt) or unaware (covert). 3 main types: controlled observation, naturalistic observation, participant observation
    • Case Studies
    • - Individual group/event etc is examined in detail, multiple techniques may be used. Often uses idiographic approach, often used in clinical psychology and psychiatry.
    • Surveys
    • - Questions given to sample drawn from larger population, relies on self-report. Types: in-person, telephone, mail-out, web-based
    • Interviews
    • - smaller sample give rich info in 'live' interaction with researcher (meaning in person or on telephone)
    • Experiments
    • - IV's manipulated and DV measured to measure effect, can be lab or field based
    • New Technologies
    • - Allows new data collection, using internet, smartphone apps and ambulatory data monitoring. Also VR and social media
  3. Observational Studies- Controlled

    • Usually done in lab environment for high control.
    • Behaviour is usually systematically classified and coded into distinct categories.
    • Behaviour may be coded by more than one researcher (inter-rater reliability)
    • Coding
    • The coding may use numbers or a scale to measure behaviour
    • Key examples
    • - Bandura - Bobo Doll Studies 1961
    • - Ainsworth- Strange Situation 1970
    • Strengths
    • - Easy to replicate using same methods and observation schedule
    • - Data quick to analyse using quantitative methods
    • - Relatively quick to conduct, so large samples can be used
    • Limitations
    • - Hawthorne effect/ Demand characteristics may affect validity
    • - Participants may act differently if they know they are being observed (overt)
  4. Observational Design- Naturalistic

    • - Behaviour is observed in its natural environment
    • - May use a host of methods to record data
    • Coding
    • May involve numbers or a scale to measure behaviour
    • Key Examples
    • - Croft- Killer whale menopause (2017)
    • - Levine- Group violence (2011)
    • Strengths
    • - Observing behaviour in its natural setting increases ecological validity
    • - This type of research is often used to inform further research
    • Limitations
    • - Observation on a small scale may not be representative
    • - Difficult to replicate
    • - Substantial training needed- how to code, what to observe, using categories etc.
    • - may not be able to draw cause and effect or direction
  5. Observational Design- Participant

    • - A variation of naturalistic observation
    • - researcher goes 'undercover' as a participant to conduct covert observation
    • Example
    • Festinger- cults and cognitive dissonance (1957)
    • Strengths
    • - Higher ecological validity
    • - As participants dont know they are being observed by another participant, their behaviour wont chnge or be affected by demand characteristics
    • Limitations
    • - There is difficulty recording the data as the researcher must remain in character
    • - Risk of a loss of objectivity and researcher bias
  6. Observational- recording data

    • Time- Sampling
    • The events being measured are agreed in advance and the coding established. Observation happens within a specific period or on a schedule. At all other times, behaviour is ignored
    • Event- Sampling
    • Events are agreed in advance and the coding established. Event frequency and other characteristics get recorded. Other behaviours are ignored.
    • Instantaneous- Sampling
    • Observations made at a specific time-point. All observations before or after this are ignored
  7. Case Studies

    • Individual group/event investigated in detail, providing with rich data. Multiple techniques may be used (survey, observation etc). Often uses the idiographic approach:
    • - observe what happens to a participant, and reconstructing the 'case history' of a person/group/event etc
    • Often used in clinical psychology and psychiatry
    • - it provides a rich source of information and insight for further research
    • Strengths:
    • - Offers rich descriptive information
    • - Often indicated hypotheses for futher research
    • - Gives opportunity to study rare phenomena in detail
    • - Allows you to investigate factors that couldnt be ethically experimented on
    • Limitations:
    • - hard to establish cause and effect (causal interference)
    • - Not generaliseable or representative
    • - Relies on subjective interpretation of data
    • - Very hard to replicate
  8. Surveys

    • Types of Surveys
    • In person Surveys- Person completes it in presence of researcher
    • - Control over environment reduces biases
    • - researcher can provide explicit instructions
    • - highest quality survey data
    • - Very time consuming and costly
    • - Small samples because of the expense
    • Telephone - Researcher phones participant
    • - Cheaper than in-person so larger samples are possible
    • - anonymous
    • - less control so less credibility
    • - visual materials unavailable and materials are less sophisticated
    • Mail-out- survey is sent to a collection of addresses
    • - Relatively cheap and convenient
    • - Participants have enough time to complete it
    • - no interviewer bias
    • - visual aids provided
    • - Rapid data collection
    • - Anonymous
    • - Self-selection bias
    • - full instructions required
    • Web based- Survey available online, researcher invited ppts
    • - Cheap, convenient, participants have time to complete
    • - no interviewer bias, rapid data, anonymous and has visual aids
    • - self selection bias and full instructions required
  9. Interviews

    • Strengths
    • - representative sample provides rich in detail information about the population of interest.
    • Limitations
    • - if sample is unrepresentative may lead to false conclusions,
    • - it is also open to researcher and social desirability biases
    • Open vs Closed Questions
    • - open questions give more rich data but are hard to analyse using empirical methods- instead must use qualitative
    • - Closed questions give more specific answers but are more open to bias from the wording of the question
  10. Experiments

    • Main Features
    • IV manipulated (the cause) and the DV is measured (the effect). They can take place in field or lab environments.
    • Strengths:
    • - best method if you want to establish cause and effect relationships
    • - you can phsycially control extraneous or confounding variables- this leads to higher validity
    • Limitations
    • - Faulty assumptions of validity and reliability in the findings may lead to drawing false conclusions.
  11. Internet/ Digital therapy

    • - This allows for the delivery of psychological treatments via computers, the internet, mobile devices or apps
    • - These are being developed for a wide range of psychological problems, such as depression, anxiety or insomnia. Also for transdiagnostic interventions
    • - most of these interventions deliver packages or CBT but increasingly they are using "third wave" or other psychotherapy e.g: ACT, IPT, mindfulness and problem-solving therapy
    • - the therapies can be a linear program of sessions, or individually chosen modules
    • - often includes a combination of the classic session content, but with interactive tools, self monitoring tools, audio and visual files.
    • Review- Fairburn and Patel 2017
    • - popular and can access under-served groups
    • - Online clinics can obtain necessary clinical change on large scale
    • - supported interventions more effective then unsupported
    • - supported digital-treatments as effective as face-to-face
    • Key concerns
    • - Lack of research comparing the two treatments that are synonymous (e.g: face to face vs digital treatment for depression)- we cant do that as there is no one treatment established yet
    • - Effect of digital delivery- older people may not find it accessible etc
    • - How do these treatments work?
  12. Slide 12

  13. Apps and Ambulatory Monitoring

    • Ambulatory monitors are small, portable electrocardiograph machines that are able to record the heart's rhythm.
    • - Allows research in monitoring of mood, behaviour and physiological responses in a realistic setting
    • - Allows for interventions supporting behavioural change, provides real-time feedback and application of newly-acquired skills in real life situations.
    • Goal Processes and Mood Disorders
    • goals are central to psychotherapeutic work with mood disorders. disruption of goal content, structure and processes have been implicated in mood disorders. These technologies can provide a real life measurement of goal processes
    • Exeter's input to this field
    • - basic research (ESRC funded)
    • - Potential interventions (ADEPT, MOODFOOD)
    • Training of Clinical Psychologists
    • Inhibition training
    • this is 'impulse training'- personalised 'brain training' leads to new associative relationships between cue and response.
    • Exeter's input in this field
    • - Natalia Lawrence- Obesity and junk food
    • - other coleagues- substance abuse, traffic offending
  14. Virtual Reality

    • "... a way for humans to visualise, manipulate and interact with computers and extremely complex data."- Austakalnis and Blatner 1992
    • - Advanced form of human-computer interface (Rizzo et al., 1997) that allows the user to interact with computers and digital content in a more natural or sophisticated fashion
    • Immersive
    • Use of digital technologies and body tracking in a stimulated environment which allows embodiment in the situation. (E.g: head mounted devices, 360 degree/3D video)
    • Non-immersive/ Semi-immersive
    • Modern computer console game system to present graphic environments allowing users to naviagte and interact (E.G: driving simulator, treadmills)
    • VR in Social Psychology
    • Increases ppts psychological engagement in research, so you can understand behaviours in more naturalistic setting
    • VR in Clinical Psychology
    • ASSESSMENT: Understand behaviours in more natural setting (ADHD)
    • THERAPY: Simulating situations, acquiring and applying new skills in safe environment
    • TRAINING: Simulating therapy situations/client responses for giving feedback about therapists’ skills and effectiveness
    • Challenges for Development
    • - Coding skills are required
  15. Social Media

    • Allows access for hard to reach participants
    • Can be run by established platforms e.g: Facebook, so trustworthy
    • Content like blogs and forums can be mined for quantitative data or be set up for research purposes
    • Key Issues
    • - informed consent
    • - anonymity and confidentiality

Informações

Descrição
Psychology Slides sobre Data collection techniques , criado por Cristelle Spaulding em 30-11-2019.
Criado por
Cristelle Spaulding · nov 2019
Atualizado
2 dez 2019
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