NURS 2031 FINAL EXAM(ACTUAL QUESTIONS AND
VERIFIED ANSWERS LATEST GRADE A+
(step 3 in scale development):
What problems should you be watching out for in the language used in the scales? - ---Answers-----jargon
-double-barreled questions: asking more than one question in
one
-vague quantifiers: e.g. often, seldom, rarely etc.
(step 3 in scale development):
What is cognitive interviewing/how does it help develop scales? - ---Answers-----it involves asking people to read the terms and Answers them into their own words OR asking people in interview format to answer the questions and explain their Answers.-this can help identify problems in the questions such as difficulty of the Qs, comprehension, clarity, misinterpretation etc.) -normally done with 10-15 people.
(step 3 in scale development):
What are some biases that can be present when responding? - ---Answers-----social desirability bias -yea-saying/acquiescence bias (responders agree with any statement even if they don't actually) -end-aversion bias (avoids extremes of the scale) 1 / 4
-cultural factor (some people from certain cultures may be more reserved/weary of offending - yea-saying/some may be more expressive and likely to choose extreme ends)
(step 3 in scale development):
What are some ways to scale the items (display the options) -
---Answers-----categorical judgements:
-continuous judgements
What is a categorical judgement scale? - ---Answers----- choosing from a number of options/alternatives -e.g. selector religion - catholic/christian/jewish/buddhist
What is a continuous judgement scale? - ---Answers----- indicates response along a continuum
-2 kinds:
1) unipolar - starts from 0 and goes only to 1 extreme (no natural midpoint) 2) bipolar - extremes at both ends and has a natural midpoint (ideally 5-9 categories/should have an odd number if there is a middle point)
What are some pros and cons of bipolar continuous judgement
scales and examples? - ---Answers----Pros:
-can be used in children (8+)
Cons: 2 / 4
-not all boxes are labelled and the labelled boxes are often picked more than non-labeled) -there are biases against picking negative boxes -earlier responses often influence later responses
Examples:
-visual analogue scale: e.g. pain to no pain on a line.
-adjectival scale: e.g. what should the family's role be in life
support? - boxes; none/minor/major/soledeciders -likert scale
-harter scale: not as much cognitive demand/2 options - e.g.
some kids have friends: boxes: true for me/not true for me.
(step 4 in scale development - selecting the items):
why do you test the scale first with >50 people (10 people per item on the scale ideally) / what do you do with this information? - ---Answers-----to ensure that all responses are used by some.-you should eliminate the items which were not used -eliminate items which more than 90% gave the same response.
(step 4 in scale development - selecting the items):
What is a factor analysis and how is it used to analyze the scales. - ---Answers-----advanced statistical procedure used to determine if a large number of variables (such as items on a scale) can be grouped into a number of subgroups in which the 3 / 4
variables correlate highly with each other and poorly with other items.
-Factor analyze the scale:
1) because item grouping makes clinical sense 2) loading (correlation) of each item is at least 0.35 (moderate) to consider keeping.3) item should load (correlate) on only one factor.
-if any are not met - scrape and rewrite the item.
What is random error vs. systemic error? - ---Answers-----
random: unpredictable error
-systematic: bias that affects all scores in one direction
Explain the ways that reliability may be determined:
-test-retest reliability -inter-rater reliability
-internal consistency - ---Answers-----test-retest: (stability)
do we get the same results over time
-inter-rater: (equivalence) would two or more people giving
rating get the same results
-internal consistency: degree to which item in the scale are
correlated/to do with the items/do the items belong together.
- Cronbach's alpha: measurement of the degree of correlation
= the more items the better/the higher coefficient the better.
- / 4