research - quiz #2 Flashcards

(44 cards)

1
Q

ANATOMY OF AN ARTICLE

A

Abstract
Introduction
Methods
Results
Discussion/Conclusion
References

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2
Q

abstract

A

summary/ highlight of paper

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3
Q

introduction

A

most references are here

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4
Q

methods

A

“how was the study carried out?”

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5
Q

results

A

“What Happened?” qualitative or quantitative

objective data only - demographics & outcomes analysis - visual presentation of data

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6
Q

discussion/ conclusion

A

“Why does it matter?” authors interpretation of the data

tying results back to research question

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7
Q

references

A

“how does this relate to past research?”

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8
Q

SELECTION BIAS

A

-which articles you select to include in your review
-which subjects are selected to participate in study

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9
Q

PUBLICATION BIAS

A

studies with positive results are more likely to get published

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10
Q

HAWTHORNE EFFECT

A

acting differently because you know you are being watched

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11
Q

RECALL BIAS

A

issue with retrospective studies: people may not recall things accurately
-relying on participant memory

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12
Q

STUDY HETEROGENEITY

A

studies in a lit review are too different to be compared

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13
Q

NULL HYPOTHESIS

A

the idea that your hypothesis will not work
= opposite → strengthen credibility

inferential statistics: disprove the null hypothesis

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14
Q

MEAN, MEDIAN, MODE

A

measures central tendency

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15
Q

MEAN

A

average

add them all & divide by number of items
-affected by extremes

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16
Q

MEDIAN

A

the middle number in a set
-less affected by extremes

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17
Q

MODE

A

the number that appears the most
-more useful for categorical data

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18
Q

RANGE

A

distance between the highest and lowest values

19
Q

DESCRIPTIVE STUDY DESIGN

A

-describes clinical experiences, thoughts & observations
-can not demonstrate cause & effect
-lack control/comparison group
-can be used to form hypothesis, leading to further investigation

20
Q

TYPES of descriptive study design

A

Case Study
Case Series
Correlational Study
Qualitative Study

21
Q

EXPERIMENTAL EXPLORATORY STUDY DESIGN
(cross-sectional, case-control, cohort)

A

-evaluates efficiency
-researcher has active role in intervention (controls some variables)
-relationship between exposure & outcome
-ethical considerations as researcher is controlling environments

22
Q

OBSERVATIONAL/ ANALYTICAL EXPLORATORY STUDY DESIGN (cross-sectional, case-control, cohort)

A

-seeks to establish cause, factors & predictors
-investigator observes what is happening
-relationship between exposure & outcome
-less ethical consideration as exposures & outcomes happen naturally

23
Q

LITERATURE REVIEW STUDY DESIGN

A

-summarize existing evidence on a topic
*question is posed:
-guidelines are set for which types of research will be included in review
-research is analyzed to see how strong it is
-important; if result repeated, more likely to be true!
= ‘reproducibility’

24
Q

TYPES of lit review study design

A

Narrative Review
Meta Analysis
Systematic Review

25
P-SCORE/ VALUE NUMBER (#VALUES & MEANING)
-tells odds of getting particular result -based on number of participants in study -if p score small enough, conclude that outcome is not random -less than 5% is key - usually -statistical significance = p<0.05 -rules out CHANCE as possible explanation for outcome
26
FALSE POSITIVE
when the null hypothesis is falsely rejected (alpha) Usual levels: no higher than .05 for alpha
27
FALSE NEGATIVE
when the null hypothesis is falsely accepted (beta) usual levels: no lower than 80% for beta
28
HIGH LEVEL OF EVIDENCE
1 = systemic reviews 2 = critically appraised topics 3 = individual articles 4 = randomized controlled trials 5 = cohort studies 6 = case control studies 7 = background information
29
EXTERNAL VALIDITY
can the findings be generalized to a larger group than the one in the study
30
INTERNAL VALIDITY
extent to which observed results represent the truth in population we are studying
31
STATISTICAL VALIDITY
is the statistical analysis properly chosen and used
32
THREATS TO RESEARCH VALIDITY - external
lack of Randomization, lack of control
33
THREATS TO RESEARCH VALIDITY - internal
confounds, bias, history, maturation, testing, instrumentation, regression, selection, mortality
34
THREATS TO RESEARCH VALIDITY - statistical
sample size (power), lack of standardization
35
TYPES OF VALIDITY
-Face: makes sense according to a lay person -Content: makes sense according to an expert -Predictive: properly measures an outcome -Concurrent: results are same as other similar outcomes -Discriminant: scores are high & low as expected -Construct: measures what it is supposed to
36
NOMINAL VARIABLE
= category -can be dichotomous – ie, yes or no -or can have more categories – ie, Blood type (A, B, AB, O)
37
CONFOUNDING VARIABLE
an unmeasured third variable that influences both the supposed cause and the supposed effect -is there another variable that could explain this outcome? Lack of control group “Chicken or the egg” problem – temporal relationship - which came first?
38
CORRELATION
mutual relationship or connection between two or more things *correlation does NOT mean causation
39
RELIABILITY
how consistently a method measures something
40
TYPES of reliability
-Inter-rater: do different raters get the same results -Intra-rater: does the same rater consistently get the same result -Test-Retest: is the same result repeated, time and time again
41
ATTRITION
the loss of study units from a sample = a reduction or decrease in numbers, size, or strength
42
COMPLIANCE
willingly do what they are asked to do patient compliance
43
participant Compliance & Attrition
-adherence should be achievable -intention to treat analysis -includes 'dropouts’ in statistical analysis
44
HETEROGENEITY
signifies diversity/ variability