Wk 1 - Intro Flashcards
Can you give examples of how the various aspects of human endeavour discussed in the lecture could be potentially improved by the use of human measurement? (x5)
Love, relationships - ID ideal soul mate; solve family problems
Government - objective assessment of candidates
Military - success is training over hardwares, so need to evaluate it/monitor skill levels
Tech - ID design issues to make more usable
Careers - ID top careers for you
Can you list five ways of measuring driving behaviour (with examples)?
Observational measures - counting/classifying/rating behavioural events (e.g. traffic conflicts); direct measurements (e.g. speed of cars, headway between cars etc)
In-car/instrumented vehicle measures - HR, electrodermal response, eye tracking, eye blinks; Vehicle movement (e.g. speed, steering movements); Counting/classifying/rating behavioural events (e.g. overtaking propensity)
Driving simulator measures - Everything from above; RT/judgements on standardized events (e.g. hazards)
Tests of additional attributes that may affect driving - Accuracy/RT on standardized tasks; Scoring response quality
Questionnaires/interviews -
How could we go about interpreting the meaning of the raw score yielded by the speeding questionnaire used in the lecture? (x2)
Calculate mean and SD
Standardise them
How could we use measures such as the speed questionnaire to predict behavioural outcomes, such as crash involvement? (x1)
Create a statistical model, e.g. regression, in SPSS to predict the DV in other outcomes
Name the four fundamental principles of human measurement
Scales of measurement
Standardisation
Reliability
Validity
What are the major five steps involved in creating a measure of human behaviour?
- Decide what, what and how
- Create the materials needed
- Design/run studies to assess validity, reliability, standardisation, and item quality
- If it all works, consider improving your measure using the data from your item analyses.
- Release your new measure into the wild and watch it run free, improving the world forever.
Provide six examples of how human behaviour measurement might be useful to know about in future careers.
Clinical or neuropsychs – measure behaviour and psych, see if treatment works; and for any research
Honours – for project
Research career – cant do any science without measurement
HR – evaluate candidates, measure performance to assess training effectivesness, for business/uni/government
Self-employed anything – assess different courses available, measure skills of potential employees
Teacher/trainer/coach – evaluate student performance, evaluation of you by student
According to Lees et al (2010), what are the two key dimensions on which methods of evaluating driver performance vary, and why?
Fidelity and experimental control
Because fidelity translates to faithfulness of replicating normal situation in an experiment
True or false, and why: In soccer, team with highest goals is categorised the winner, other as loser.
This exemplifies a nominal scale
False
Because it’s actually based on the number of goals scored - not two categories
True or false, and why: in an art comp, there’s a winner, and three runners up, as voted by the public. The rest of the entries are designated ‘excrement’.
This exemplifies an ordinal scale
True
Because the entrants are ranked
What are the advantages (x2) and disadvantages (x2) of using observational measures to measure driving behaviour?
Measures actual driver behaviour.
Drivers unaware they are being monitored.
Level of detail of information is limited.
Experimental control is difficult.
What are the advantages (x2) and disadvantages (x2) of using In-car/instrumented vehicle measures to measure driving behaviour?
Detailed information can be collected.
Measures actual driver behaviour.
Drivers aware they are being monitored.
Experimental control is difficult.
What are the advantages (x2) and disadvantages (x2) of using driving simulators to measure driving behaviour?
Experimental control can be excellent.
Detailed information can be collected.
Not real: must be validated.
Can be (though not necessarily) expensive.
What are the advantages (x3) and disadvantages (x2) of using tests of related attributes to measure driving behaviour?
Experimental control excellent.
More likely to be well-established (i.e. have a greater body of data supporting validity etc).
Detailed information can be collected.
Not real: must be validated.
May lack specific context – need a theoretical link (e.g. peripherial vision is considered important for detecting hazards therefore a measure of this will predict driving performance).
What are the advantages (x3) and disadvantages (x3) of using questionnaires/interviews to measure driving behaviour?
Experimental control excellent. Detailed information can be collected. Easy and cheap to collect large samples. Not real: must be validated. Harder to use dynamic, complex stimuli. Rely on participant insight and honesty