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Research Exam 3
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larger variables you have
the bigger the sample size should be
Types of Quantitative Studies
number of variables
measurement sensitivity
data analysis techniques
measurement senstivity
language you don't know
measurement sensitivity is low
more advanced the technique
the larger sample size you need
n-30: sample size
minimum in quantitative research
Experimental Studies
Random Assignment: intervention A and B to measure outcomes
experimental studies example
pressure ulcers: test different in wound development to see if significant
If you can't randomly assign subjects to intervention A or B
can't do experimental design,
so choose quasi experimental
Anything to affects A or B
extraneous variable
Variable A to B
directionality problem
comparison group recieves:
no intervention at all
a placebo intervention
a usual care intervention
a different intervention
same intervention but of different
Statistical perspective
Basic concepts:
T test
: p Value
confidence intervals
t test
test the different between 2 means
anova
tests the difference between 3 or more
chi-square
tests the difference with nominal and ordinal level data
chi-square is
weakest
p<0.05
significant difference
p>0.05
not a greater difference
p less than
difference likely in the population; reality
p greater than
no difference likely in population
p less
means truly differnet
p greater
means are expected
stat. vs. clinical significance
are different
clinical significance
every study from the beginning
research question has significance
disease that happens once in 1000 cases
but it happens personally to yourself..
clinical significance!
Absolute benefit improvement and numbers needed to treat
treatment effect measures
Author:
Anonymous
ID:
299267
Card Set:
Research Exam 3
Updated:
2015-03-26 19:57:01
Tags:
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Folders:
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Description:
research
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