Ch 11 - Reasoning About the Design and Execution of Research Flashcards

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1
Q

What is the difference between the scientific and FINER method?

A
  • scientific: series of 8 steps for the generation of new knowledge (hypothesis, testing, conclusion)
  • FINER: assess the value of a research question on the basis of whether or not it is feasible, interesting, novel, ethical, and relevant
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2
Q

What are independent/dependent variables?

A

independent are manipulated and dependent have changes observed

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3
Q

What are positive/negative controls?

A

positive ensure change in dependent variable when expected, negative ensures no change

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4
Q

What is the difference between accuracy and precision?

A

accuracy (validity) is the quality of approximating the true value; precision (reliability) is the quality of being consistent in approximations

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5
Q

What are cohort, cross sectional, and case control studies?

A
  • cohort record exposures throughout time and then assess the rate of a certain outcome
  • cross assess both exposure and outcome at the same point in time
  • case assess the outcome status and then assess for exposure history
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6
Q

What is Hill’s criteria?

A
  • supports causality in observational studies
  • only temporality (the exposure must occur before the outcome) is required for the relationship to be casual, but the more criteria are met, the more likely it is casual
  • include temporality, strength, dose-response relationships, consistency, plausibility, consideration of alternative explanations, experiments, specificity, and coherence
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7
Q

What are selection and detection bias?

A
  • selection: sample differs from population, is most common in human subject research
  • detection: education professionals using their knowledge in an inconsistent way by searching for an outcome disproportionately in certain populations
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8
Q

What is the Hawthorne effect?

A

results from changes in behavior - by the subject, experimenter, or both - that occur as a result of the knowledge that the subject is being observed

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9
Q

What is confounding?

A

the error in data analysis that results from a common connection of both the dependent and independent variable to a third variable

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10
Q

What are the 4 principles of medical ethics?

A

beneficence, nonmaleficence, response for patient autonomy, and justice

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11
Q

What are the Belmont Report?

A
  • respect for persons include autonomy, informed consent, and confidentiality
  • justice dictates which study questions are worth pursuing and which subjects to use
  • beneficence requires us to do the most good with the least harm (cannot perform an intervention without equipoise - a lack of knowledge about which arm of the research study is better for the subject)
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12
Q

What is considered a population?

A

all of the individuals who share a set of characteristics

- population data are called parameters

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13
Q

What is a considered a sample?

A

a subset of a population that are used to estimate population data
- sample data are called statistics

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14
Q

What is internal/external validity?

A
  • internal refers to the identification of causality in a study between the independent and dependent variables
  • external refers to the ability of a study to be generalized to the population that it describes
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15
Q

What is statistical and clinical significance?

A

needed in order for an intervention to be supported

  • stat refers to the low likelihood of the experimental findings being due to chance
  • clinical refers to the usefulness or importance of experimental findings to patient care or patient outcomes
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16
Q

What are the Hill’s criteria: temporality, strength, dose-response relationship, consistency, plausibility, consideration of alternative explanations, experiment, specificity, and coherence?

A
  • temp: exposure must occur before outcome
  • strength: more casual as more variability in the outcome variable is explained by variability in the study variable
  • dose: proportional increase in response to independent variable (study)
  • consistency: same in multiple settings
  • plausibility: reasonable explanation for variable relationship
  • if all other plausible explanation are eliminated, the remaining is most likely
  • conclusion can be performed experimentally
  • change in outcome only from change in exposure
  • new data/hypothesis consistent with current knowledge
17
Q

How do experiments and observational studies compare in casual links?

A

an experiment will always establish a clearer casual link than an observational study