PR2 W3-W4 Flashcards

1
Q

examines the effects of an intervention on an outcome of interest

A

Intervention research

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2
Q

the goal is to prevent a negative outcome from occurring

A

Prevention research

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3
Q

the goal is often to support specific tenets of
theoretical paradigms.

A

Classic laboratory experimentation

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4
Q

look at the relationships between risk factors or characteristics of patients and their likelihood of getting a particular disease

A

analytical observational studies

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5
Q

two types of intervention studies

A
  1. randomized controlled trials
  2. non-randomized or quasi-experimental trials
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6
Q

is considered to be the gold standard of clinical research because it is the only known way to avoid selection and confounding biases

A

Randomized controlled trial

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7
Q

4 steps to collect high-quality data that is relevant to your purposes

A

Define the aim of your research
Choose your data collection method
Plan your data collection procedure
Collect the data

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8
Q

is the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions, especially in the context of quantitative research

A

statistics

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9
Q

two categories of statistics

A

Descriptive Statistics
Inferential Statistics

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10
Q

this statistics methods of organizing, summarizing, and presenting data in an informative way
e.g. via various charts, tables, and infographics

A

Descriptive Statistics

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11
Q

this statistics The methods used to estimate a property of a population on the basis of a
sample e.g. T-Test, Z-Test, ANOVA, Regression Analysis, Factor Analysis, Cluster Analysis

A

Inferential Statistics

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12
Q

is the most commonly used measure of central tendency

A

mean

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13
Q

is the value that occurs most frequently

A

mode

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14
Q

is the middle value when the data are arranged in
ascending or descending order

A

median

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15
Q

Measures of Variability:

A

Range, Variance, Standard Deviation, Coefficient of Variation

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16
Q

measures the spread of the data

A

range

17
Q

The difference between the mean and an observed value is called the deviation from
the mean

A

variance

18
Q

square root of the variance

A

Standard Deviation

19
Q

is the ratio of the standard deviation to the mean expressed as
percentage, and it is a unitless measure of relative variability

A

Coefficient of variation

20
Q

is simply a statement that something is true.

A

hypothesis

21
Q

is a procedure in making decisions based on a sample evidence or probability theory used
to determine whether the hypothesis is accepted or rejected

A

hypothesis testing