ch 11 - Reasoning about the design and execution of research Flashcards

1
Q

scientific method

A
  1. generate a testable question, 2. gather data and resources, 3. form a hypothesis, 4. collect new data, 5. Analyze the data, 6. Interpret the data, 7. Publish, 8. Verify results
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2
Q

positive controls

A

those that ensure a change in the dependent variable when it is expected

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3
Q

negative controls

A

ensure no change in the dependent variable when no change is expected

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4
Q

causal relationship

A

if change in independent variable always precedes change in dependent variable, and change in dependent variable does not occur in absence of experimental intervention

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5
Q

Accuracy

A

ability of instrument to measure a true value

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6
Q

precision

A

also called reliability, ability of an instrument to read consistently or within a narrow range

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7
Q

Randomization

A

members of a test group randomly selected to go into either a control or sham group, or the test group

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8
Q

single-blind experiments

A

the patient or the assessor is blinded

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9
Q

double-blind experiments

A

investigator, subject and assessor are all blinded

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10
Q

binary variables

A

yes vs. no, better vs. worse

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11
Q

continuous variables

A

amount of weight lost, percent improvement in cardiac output

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12
Q

categorical variables

A

state of residence, socioeconomic status

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13
Q

categories of observational studies

A

cohort studies, cross-sectional studies, case-control studies

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14
Q

cohort studies

A

observational study in which subjects are sorted into two groups based on differences in risk factors (exposures), and then assessed at various intervals to determine how many subjects in each group had a certain outcome

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15
Q

cross-sectional studies

A

attempt to categorize patients into different groups at a single point in time

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16
Q

case-control studies

A

identify the number of subjects with or without a particular outcome, then look backwards to assess how many subjects in each group had exposure to a particular risk factor

17
Q

Hill’s Criteria

A

describe components of an observed relationship that increase the likelihood of causality in the relationship; include temporality, strength, dose-response relationship, consistency, plausibility, consideration for alternative explanations, experiment, specificity, and coherence

18
Q

bias

A

result of flaws in data collection phase of an experimental or observational study

19
Q

confounding

A

error during analysis; incorrect relationship is characterized in data that may or may not be flawed.

20
Q

selection bias

A

subjects used for the study are not representative of the target population

21
Q

detection bias

A

results from educated professionals using their knowledge in an inconsistent way. finding one variable that prior studies have indicated correlates to another variable increases likelihood that researcher will then search automatically for that second variable.

22
Q

Hawthorne effect

A

also called observational bias; posits that behavior of study participants is altered simply because they recognize that they are being studied

23
Q

confounding variables (confounders)

A

third party variables in which there is no direct causality between two findings. For ex people may have red hair and be more likely to have lower pain tolerance which could both be caused by a gene mutation but do not have a causal relationship to each other

24
Q

four core ethical tenets

A

beneficence, nonmaleficence, autonomy (of patients), justice

25
Q

morally relevant differences

A

those differences between individuals that are considered an appropriate reason to treat them differently (such as age)

26
Q

equipoise

A

in studies comparing two potential treatment options, one cannot approach the research with the knowledge that one treatment is superior to the other

27
Q

population

A

complete group of every individual that satisfies the attributes of interest

28
Q

parameter

A

information that is calculated using every person in a population

29
Q

sample

A

any group taken from a population that does not include all individuals from the population

30
Q

internal validity

A

support for causality

31
Q

external validity

A

also called generalizability; high generalizability means study has sample that represents the target population

32
Q

statistical significance

A

not the result of random chance

33
Q

clinical significance

A

notable or worthwhile change in health status as a result of our intervention