Module 3 Flashcards
Rothman Module 3, Lecture 3
What is the Likert Scale?
In its final form, the Likert scale is a five (or seven) point scale that is used to allow an individual to express how much they agree or disagree with a particular statement.
It is controversial in its unobjective and forced responses.
What is nominal data?
categorical / qualitative data; categories as values which differ in quality
What is ordinal data?
Nominal data that are ordered in some way (good, better, best / small, medium, large / 1,2,3)
What is interval data?
There is a meaningful and definable distance between the categories of measurement. There is no fixed relationship to zero.
(e.g. temperature - 100 is 10 degrees more than 90, but 100 is not twice as hot as 50; 0 also does not represent the “absence” of temperature)
What is ratio data?
Has all the properties of interval data, but there is a meaningful relationship to zero
(e.g. height, weight, enzyme activity, bacterial counts…. someone who weighs 200 pounds weights twice as much as someone who weighs 100 pounds).
What is a ratio?
The size of something compared to the size of something else; a/b
What is a rate?
(a+b) / time ; the change in a subset compared to the change in the set per unit time
What is the most commonly used rate in epidemiology?
incidence - events (a) per person (b) per time (t) = a/b/t or a/bt
e.g. 10 people are observed for 10 years (100 person years).. 6 get heart attacks. The incidence of heart attacks in this group is 6 per person years.
What is a proportion?
the size of a part relative to the whole (a/a+b)
What is the cumulative incidence / proportion?
the number who moved into the numerator (na) divided by the total number of people at the beginning (b) minus the ones who left the denominator; na/(b-na)
What are the numerator and denominator in relation to incidence?
Events in the numerator are things (infections) that happen to people in the denominator. That means when an event occurs, people are moved from denominator to numerator. Both will change - the numerator gets bigger and the denominator smaller.
What is the difference between incidence and prevalence?
Incidence is answering the question: “how fast is something occurring?”
Prevalence is concerned with the question: “how much is there at some point in time?”
What is point / period prevalence?
numbers of cases per population at some instant. This is usually impossible to measure, so the term “Period Prevalence” is used.
What is the relationship of prevalence, incidence, and duration?
Prevalence = Incidence x Duration
How do we determine the difference between groups in research?
the size of the difference (count)
the dispersion of the data (a ratio)
the number of observations used to determine the point data / sample size (count)
The larger the sample, the more likely you are coming closer to a true number
Who first referred to the “Distribution around the mean”?
Carl Friedrich Gauss
What is normal distribution / distribution around the mean?
Normal distribution, also known as the Gaussian distribution, is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean. In graphical form, the normal distribution appears as a “bell curve”
What is a Z score?
Z-score is a statistical measurement that describes a value’s relationship to the mean of a group of values.
The higher (or lower) a z-score is, the further away from the mean the point is.
What is a standard deviation?
The standard deviation is the average amount of variability in your dataset. It tells you, on average, how far each value lies from the mean.
What is a t test?
A t test is a statistical test that is used to compare the means of two groups. It is often used in hypothesis testing to determine whether a process or treatment actually has an effect on the population of interest, or whether two groups are different from one another.
What is the ultimate goal of validating research outcomes?
To achieve generalizability
What is an odds ratio?
It is a measure of association between an exposure and an outcome
As an example, if the odds ratio is 1.5, the odds of disease after being exposed are 1.5 times greater than the odds of disease if you were not exposed another way to think of it is that there is a 50% increase in the odds of disease if you are exposed.
Here it is in plain language. An OR of 1.2 means there is a 20% increase in the odds of an outcome with a given exposure. An OR of 2 means there is a 100% increase in the odds of an outcome with a given exposure. Or this could be stated that there is a doubling of the odds of the outcome.
What is accuracy versus precision?
Precision and accuracy are two ways that scientists think about error. Accuracy refers to how close a measurement is to the true or accepted value. Precision refers to how close measurements of the same item are to each other.
What is validity in research?
how well the results among the study participants represent true findings among similar individuals outside the study.
The term validity refers to the correctness of the conclusions that are drawn from the results. In other words, how accurate are the results? Do the results actually measure what was intended to be measured? It is important to assess if a study was conducted so that each of its elements is defensible, and their interaction produced a coherent “story” with regard to the findings.
Threats to validity include: (1) measurement error—the exposure and the outcome were measured correctly; (2) misclassification—either persons or exposures were placed in the wrong categories; (3) bias—non-systematic mistakes (different for cases and control in a study) that distort the results; (4) incorrect or inappropriate analytic procedures.
What is reliability in research?
Reliability refers to how consistently a method measures something. If the same result can be consistently achieved by using the same methods under the same circumstances, the measurement is considered reliable.
Test & retest in different circumstances
What is falsifiability in research?
Falsifiability is a cornerstone of the scientific method. It refers to the idea that, to be a valid scientific hypothesis, it must be possible to disprove it.
What is generalizability in research?
Generalizability refers to whether or not the research findings and conclusions that result from the study are applicable to other populations or, more broadly, to everyone.
The Framingham Heart Study (which utilized only white men) is a great example of what NOT to do
Are the following examples a rate, ratio, count, or proportion?
- Components of a recipe for chocolate cake
- The prevalence of tuberculosis
- The speed of light
- Infant mortality (per live births)
- Ears of corn produced per acre cultivated
- Cases of flu seen in a clinic per month
- Count
- Proportion
- Rate
- Ratio
- Rate
- Proportion
What is the epidemiologic triangle?
Agent, host, and environment
What are different types of infectious agents?
Biological Microorganisms, Pathogens, such as :
Bacteria, viruses, rickettsia, fungi and yeast, Helminthes, Protozoans, Prions
Chemical:
poison, alcohol, smoke
Physical:
trauma, radiation, fire
Nutrition:
lack, excess
What are environmental factors associated with increased risk of disease?
temperature
air pollution
crowding
neighborhood
sanitation
healthcare access
vector control (of certain animals e.g. birds or mosquitos)