Research and Statistics Flashcards

1
Q

steps of research continuum

A
  1. identify a relevant topic
  2. develop a research question
  3. develop a hypothesis
  4. prepare research protocol/methodology
  5. organize methods and materials
  6. collect and analyze data
  7. study results/make decisions/draw conclusions
  8. study design and checklist
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2
Q

types of hypotheses

A

null: no relationship exists
alternative: some relationship exists

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3
Q

types of research

A

descriptive: can only determine association
analytical
- experimental: can determine c + e
- observational: can only determine association

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4
Q

describe qualitative research

A

collects qualitative information
concerned with particular interests rather than measuring numbers

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5
Q

describe case report/case study

A

observing a pt with a particular condition to further understand the mechanism of this conditions

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6
Q

describe correlation/ecological study

A

to determine if there is a relationship between naturally occurring variables
and if there is, what is it?

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7
Q

experimental vs. control group

A

experimental: receives treatment
control: does not receive treatment

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8
Q

parallel design experiment

A

participant A and B either get the treatment or the control

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9
Q

crossover design experiment

A

participant A will get both control and treatment at some point

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10
Q

2 period crossover design experiment

A

participant A will get both control and treatment with a washout period in between

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11
Q

quasi experimental

A

measures something before and measures the same thing after to compare the results of a change

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12
Q

cohort study

A

prospective: follows a group of healthy people to determine who develops the dx and information based on that
retrospective: looks back on a group with a dx to determine information

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13
Q

case control study

A

comparing a group of pts with a dx to a group of pt without the dx to determine risk factors and information (does not look at mechanism of development)

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14
Q

nominal variable

A

variables that fit into categories without order (gender, race, marital status)

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15
Q

rank order/ordinal variables

A

variables that fit into categories with order (stage 1, 2, or 3 of cancer)

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16
Q

numerical discrete

A

numbers that take on countable and distinct values (number siblings, age)

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17
Q

numerical continuous

A

numbers that take on decimals points without a distinct value (height, weight)

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18
Q

validity

A

can the test measure what it intends to measure

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19
Q

internal validity

A

is the difference between the two groups real?

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20
Q

external validity

A

can the difference between the groups be extended to a larger population

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21
Q

reliability

A

are your results reproducible?

22
Q

sensitivity

A

sensiTivity
identifies those who are True, with the disease

23
Q

specificity

A

speciFicity
identifies those who are False, without the disease

24
Q

inferential statistics

A

makes inferences or conclusions from observed data
(probability, hypothesis testing, variance)

25
descriptive statistics
summarizes and describes small amounts of numerical information (mean, median, mode; range; standard deviation)
26
standard deviation
indicates the dispersion of data about the mean or average tells you how spread out the numbers are from the average
27
__% of observations lie within +/- 1 SD
68
28
__% of observations lie outside +/- 1 SD
32
29
__% of observations lie within +/- 2 SD
95
30
range is ___
+/- 1 standard deviation
31
positive correlation means that
as A increases, B increases OR as A decreases, B decreases
32
negative correlation means that
as A increases, B decreases OR as A decreases, B increases
33
r-values that indicate relationships
<0.4 weak 0.4-0.7: moderate >0.7: strong
34
a negative r value indicates
a negative correlation
35
a positive r value indicates
a positive correlation
36
p-values that determine statistical significance
p<0.05 - significant difference p<0.01 or <0.001 - very strong significant difference p>0.05 no significant difference
37
prevalence
the number of existing cases over a period of time
38
incidence
the number of new cases over a period of time
39
accuracy
the degree to getting the correct answer
40
precision
the degree to getting the same answer over and over
41
observer effect
the researcher's or interviewer's body language or intonation affects the way the participant responds
42
social desirability bias
the participant responds in a way that they think they should
43
selection bias
the people you decide to include in your study are not representative of the population you are aiming to study
44
sampling error
occurs at the stage of analysis when the data points used in the analysis do not represent the entire population of data
45
reporting bias
when the direction or statistical significant of results influences whether or how the research is reported
46
publication bias
when papers finding a null result are not selected, published, or reviewed
47
measurement error
the different between a measured quantity and the true value
48
misclassification error
a type of measurement error that applies to variables that are categorical or binary
49
non-response bias
with low response on a survey, you may not be capturing all the data
50
health volunteer basis
people who volunteer for research trials or respond to surveys may not be representative of the population (i.e. healthier, higher socioeconomic status)
51
EAL bases their grading on
quality of study - scientific rigor and validity, design and execution quantity of studies and subjects - number of studies, number of subjects in studies consistency of findings across studies - magnitude of effect clinical impacts - importance of studied outcomes generalizability of findings - to the population of interest