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69 Cards in this Set

  • Front
  • Back
Concept

construct
abstract idea, 'chair'

Highly abstract concepts, leadership and emotions
operationalization
Take concept or construct and turn into reality
Measurement
assigning numbers
quantify
classify
compare
Attribute
feature of object along various dimenions
?english
Problems with messurment
representation
objectivity
correzpkndence
common error sources
am i really gonna write this

situatiinal
response bias
transitiry factors
administration variation
intstrument clarity
reresponse sampling
instrument format
response bias
recall
option
fake good or bad
end aversion
framr choices
healthstate bias
Validity

reliability
How well messures what we want

accuracy and precision of measure

cannot be valid and unreliable
external validity
ability of research to be generalized across persons, settings and times
internal validity

face validity
degree which treatment alone brings change

look at whether seems like good translation of construct, weak way
Content validity
measuring instrument provide coverage of topic
criterion related validity
compare urs against criterion
crit related
predictive validity
ability to predict what it should be able to predic
crit relsted
concurrent validity
ability to distinguish groups that should be distinguishable
Crit related
convergent validity
degree to which operationalization is similar to other ones it should be similar tooooo
Crit related
discriminant validity
degree which operationization is nit similar to othrr operatikniship that it should not be simlialr too

who the fuck comes up with this shit
ingernal
construct validity
cAn inferences be made from operationalitions to constructs they were basd

need high convergent and discriminant validity
threats internal validity
maturation
history
instrumentation
placebo or hawthorne effect
dropout bias
subject selection bias
reliability
stabiliyy
equivalence
internal consistency
stability
instrument is stable if consistant results w/ same subject
Equivalence
considers how much error may be introduced by diff investigators in observation
internal consistency
consistency among items of a scale
attitudes
enduring patterns of behavior which are believed to be predictable of behavior
scaling
construction of instrument that associates qualitative constructs with quantitative units

aka how much pain scale 1-10 (pain abstract but scale is not)
Thurstone (equal appearing interval scaling)
2 answer choices,
usually agree or disagree with large set of statements
Guttman scaling
also called cumulative scaling

one dimensional continuum for concept being measured

one concept, limited use

series of items with increasing intensity
add all scores of every item agreed with
Pair comparison scale
can compare bunch of items but do it one by one
1 , 2, 3, 4

1v2, 1v3, 1v4
2v3, 2v4
3v4
rank order scales
rank list of stuff say 1-7 for 7 items

each # only once
Q sort technique
to discriminate among large groups objects
object sorted into pile of preference,
piles rank in order of preference

items evaluated relative to one another

each statement based on diff issue

sort items according to which most agree with +5 and least agree -5....
Constant Sum scale
distribute 100 points into these 5 categories based on importance
line marking scale
where are you on this line,

hate stats-----------------------really hate stats
smiling faces
how high are you right now

:( :/ :l : ) ;p
Likert scales
provided with range of responses to series of +ve and -ve statements

scores associated with each possible response
Semantic differential scale
positions are developed within predefined set of pair polar opposite adjectives

You are more?

Honest..............................Dishonest
Stapel Scale
Rxn to commercial

+3
+2
+1
Exciting
-1
-2
-3

based off one emotion or thingy
IRB what the hell is it
group individuals (not all healthcare) that evaluate protocals for studies assess risk and benfits

aka local ethic committee

Duties- Protect humor, informed concent, documentation
HISTORY IRB
Numemberg code
Declaration of Helsinki
National Commission Protect Human Subjects
Belmont Report
Code of Fed. REgulations
Health insurance portability and accountiability act (HIPPA)
Nurenberg code
from WW II crimes
most important document

Voluntary consent!!!! and other ones
Declaration of Helsinki
World medical association
health of pt first consideration
National Commission for the protection of Human Subjects

background
Tuskeke study-blacks syphalis and didnt get full disclosure

guidelines were developed for diff stuff

IRB 1978
Belmont Report
Respect for persons- ackknowledge authority
Beneficence- no harm, more benefits
Justice- each person equal share
Code Fed. Regulations
Created IRB

Office for Human Research Protection
-its job...yea
HIPPA
1996- health insurance coverage

2003 securitty and privacy of health data
IRB
Responsibilites
informed concent
not put ppl at risk
IRB documentation
proposal forms first
minutes
reviews
correspondence
Req for study approval, IRB stuff
minimal risk to pt
risk/benefit reasonable
written consent
data monitoring
confidentiality
add. stuff for vulnerable ppl
Informed consent
legal document
must be done before begin
-elements provision essential info
-concent must be voluntary

children, adolesants, adult all have diff ones
NSU ethics board
Chair
Vice chair
at least one rep from each college

Dr Seamon and Franco
Apllication for IRB/ ethics board useful
HIPPA
CITI
IRB test center req types
any research w humans

need center rep

college lvl review
expeditied review
full review
Ethical Principals
Autonomy
Non-malefience
beneficence
distributive justice
truth telling
professional responsibility
Stat Sampling Methods! where in project is it
Project starts
hypothesis after literature
sampling
then methodology
and stat analysis
Population vs
Sample
vs Sampling
p- entire set ppl common characteristic

s-subset of pop selected for study

s- selecting portion of pop to represent entire
representation

variation
sample should be highly similar to target pop

variationin should be reflected in sample if in pop
Advantages of sampling
Time saving
money saving
quality assurance data
greater response rate
technical terms
-sampling element
-sampling frame
-each entity from pop that is ultimate sampling object

-complete list of all units from which sample drawn (not sample yet)
Methods of sampling (2)
Probability sampling- random selection choosing unit
x-simple random, stratified random, custer sampling, systematic sampling

Nonprobability sampling- non random selection
x-convenience sampling, quota sampling, purposive sampling
Randomization selection

Randomization assignment
- each element in pop has equal chance be selected

-allocate subjects to diff. experimental conditions on random basis
good for prospective studies
Simple Random Sampling
each sample element in frame has EQUAL OPPORTUNITY of chosen once
Procedure->frame->random selection from frame

-ve- inefficeient, if frame off big issue
stratified random sample
random select from 2 or more STRATA of pop independantly
strata-subdivision of pop by characteristic

can be proportional or disproportional

possible bias
Cluster
multistage w/ large groups selected first then successive subsampling

ex nationwide

limit-more sampling errors
Systematic sampling
selection where every Nth person is chosen
Non probability sampling (3)
Conviencience

quota

purposful
Conveince sampling
easist ppl availible

Method- accidental, snow effect, network

Limit- weak, lack control
Quota sampling
nonrandom with PRESPECIFIED CHARACTERISTIC of sample

lack control variability
Purposive Sampling
selected on basis personal judgement on which most productive

Method-personal knowledge on issue of study

Limit-lack of controlling variability
Sample Size whats important about it
POWER- ability of design to detect relationship tween variables

EFFECT SIZE- (r) stat representation of magnitude of relationship tween variables
magnitude of diff tween 2 groups
FORMULA FOR EFFECT SIZE know it
r = U1-U2 / SD

U's- diff in pop. mean
SD- standard dev.
know how to use the efect size vs power chart, when number is found what must be done?
X2

r=.2 small
.5- med.
.8 large