Powerpoint 2: Measurement Issues Flashcards

(40 cards)

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
can internal and external validity both be high?
not usually , if one is high the other is low usually - a trade-off
26
what is selection bias
when nonequivalent participants are assigned to different groups so they start off different
27
what is selective drop out
when we lose some participants in a study more than others ude to non-random reasons
28
what is differential drop out
when you lose more participants inone condition than you do in another condition
29
what isselective data loss?
more experimenter errors with most "difficult" or with youngest children so we have loss information on them
30
what are history effects?
effcts of external events on a study | ex: 9/11, hurrican katrina, christmas
31
what is experimenter drift?
when over time the varibales or methods change so you aren't analyzing/scoring the data in the same way
32
what is a "good" participant
a participant who does what they think you want them to do
33
what is a "bright" participant?
a participant who responds to look smart
34
what are some respond sets?
yes biase last name option (counterbalance this) positional responding alternate ansering to same question
35
what is overstandardizing
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
differences in independent variable in lab vs field
lab: good control, increases internal validity, not as generalizable, decreases external validity field: little control, generalizaable, good external validity
37
differnet in dependent variable in lab vs field
lab: ease in measurement, reactivity, reponse sets to look out for field: ecologically valid measuremeds, difficult to measure
38
how do we make sure we have consent in developmental research
Assent from kids - they cans top at any time their needs are the most important
39
confidentiality in developmental research | - how many pieces of information does someone need to identify a participant?
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
shoudl we use peer nominations and evaluations ind evelopmental research
can be useful, but can also be harmful | - make sure questions are asked in positive form and see whose missed in repsonses