Powerpoint 2: Measurement Issues Flashcards

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1
Q

what is narrative recording

A

minute by minute account of target child’s behaviour

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2
Q

what is time sampling

A

observing/recording specific behaviours on a checklist for a specific time period

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3
Q

what is event sampling

A

recording during specific events - only when target behaviour occurs

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4
Q

what are issues that come up with observational techniques

A
observer influences (problem with being watched)
observer bias
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5
Q

how to counteract observer influence in observational research

A

observer in enviro for a period of time before they record (ex: Jane Goddall)

Participant observatino (someone in environment codes)

Hidden observer (one-way mirrors)

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6
Q

what are some ways to counteract observer bias?

A

score behaviours as specifically as possible

blinding

inter-observer reliability

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7
Q

Explain Convering operations as a concept in experimental design

A

all methods of study of the same concept should produce the same results… if they don’t you might be studying something else

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8
Q

What is measurements of equivalence

A

when people age, a measure might no longer be suitable ex: asking child to give up candy at 4 is much different than someone at 20… maybe their car would be more of an equivalent measurement

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9
Q

what is a nominal scale

A

categories ex: boys and girls

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10
Q

what is an ordinal scale

A

ordered scores ex: never, sometimes, always

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11
Q

what is an interval scale

A

ordered, equidistance ex: thermometer (0 doesn’t mean nothing, but distance from 5-10 is the same as 20-25)

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12
Q

what is a ratio scale

A

ordered, equidistance, zero point ex: test out of 10

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13
Q

internal consistency reliability?

A

consistency between different items on the same test that test the same concept

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14
Q

if a test tests what it claims to test then that test is ____

A

valid

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15
Q

content validity?

A

if its good - a test of a measure will adequately test every part/facet of that measure ; all abilities of subject tested

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16
Q

criterion validity

A

measure developed relates to other measures of same construct

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17
Q

concurrent validity?

A

the test has good concurrent validity if the measure tested has similar results to the same measure tested in another test (usually a well-established one)

18
Q

predictive validity?

A

if the test gives results that correspond to performance in another way ex: testing cognitive function predicts job performance

19
Q

construct validity

A

good if the test measures what you think it is ex: DCCS task - cognitive flexible ability or motor seperation/inhibition)

20
Q

convergent validity

A

correlation with other theroretically related tasks

21
Q

divergent/discrimminant validity

A

lack of correlation with measures of different things

22
Q

floor effects?

A

most of partiicpants do so poorly there is very little variability because most fail task

23
Q

ceiling effects

A

measures way to easy - everyone will do almost if not perfect - no variability

24
Q

internal validity

A

testing what is suppose to be testing

25
Q

can internal and external validity both be high?

A

not usually , if one is high the other is low usually - a trade-off

26
Q

what is selection bias

A

when nonequivalent participants are assigned to different groups so they start off different

27
Q

what is selective drop out

A

when we lose some participants in a study more than others ude to non-random reasons

28
Q

what is differential drop out

A

when you lose more participants inone condition than you do in another condition

29
Q

what isselective data loss?

A

more experimenter errors with most “difficult” or with youngest children so we have loss information on them

30
Q

what are history effects?

A

effcts of external events on a study

ex: 9/11, hurrican katrina, christmas

31
Q

what is experimenter drift?

A

when over time the varibales or methods change so you aren’t analyzing/scoring the data in the same way

32
Q

what is a “good” participant

A

a participant who does what they think you want them to do

33
Q

what is a “bright” participant?

A

a participant who responds to look smart

34
Q

what are some respond sets?

A

yes biase
last name option (counterbalance this)
positional responding
alternate ansering to same question

35
Q

what is overstandardizing

A

whena researcher, in hops of standardizing to make data look “cleaner”, limits their pool of participants; data becomes very biased, only represents a single sample

ex: no females in study bc of hormones

36
Q

differences in independent variable in lab vs field

A

lab: good control, increases internal validity, not as generalizable, decreases external validity
field: little control, generalizaable, good external validity

37
Q

differnet in dependent variable in lab vs field

A

lab: ease in measurement, reactivity, reponse sets to look out for
field: ecologically valid measuremeds, difficult to measure

38
Q

how do we make sure we have consent in developmental research

A

Assent from kids -
they cans top at any time
their needs are the most important

39
Q

confidentiality in developmental research

- how many pieces of information does someone need to identify a participant?

A

cant let parents have access to things you think children wouldnt want their parents to know

  • this could also impact the results of your study
  • have to tell parent they they are not allowed in consent form if they are not allowed
  • careful with rare populations - easy to breach confidentialy
    3 pieces: location, gender, birthdate
40
Q

shoudl we use peer nominations and evaluations ind evelopmental research

A

can be useful, but can also be harmful

- make sure questions are asked in positive form and see whose missed in repsonses