eModule 2 Flashcards

1
Q

What are the three types of data?

A
  1. Quantitative
  2. Categorical
  3. Qualitative
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2
Q

What are the two types of categorical data?

A

Nominal (named) and Ordinal (ranked)

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3
Q

What are the two types of quantitative data?

A

Continuous and discrete

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4
Q

Define normality

A

A measure of central tendency. 2/3rd of the data is 1s.d. above ad below the mean and 50% of the data is above the mean and 50% below

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5
Q

Describe Gaussian distribution

A

Symmetric, central distribution with well-behaved tails. mean=median=mode

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6
Q

Describe skewness

A

asymmetrical distribution in which there are many data points at the high/ low end. Long, uneven tails

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7
Q

Describe Kurtosis

A

Data with heavy or light tails tails relative to those in a normal distribution

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8
Q

Normality can be assessed visually using which two graphs?

A

Histograms and Box and Whisker plots

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9
Q

Which stats tests can you use to assess normality? and when would you use them?

A

Shapiro-Wilks test (n<50)

Kolmogorov-Smirnov test (n>50)

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10
Q

Name three measures of central tendency

A
  1. Mean
  2. Median
  3. Mode
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11
Q

Name five measures of dispersion of data

A
  1. Standard deviation
  2. Variance
  3. Range
  4. SEM
  5. Confidence intervals
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12
Q

How is SEM calculated and what does it describe?

A

SD/ square root of n

Measures how well a sample mean approximates a population mean

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13
Q

How are Confidence intervals calculated and what does it describe?

A

SEM x 1.96

The range in which the true mean value might be found

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14
Q

When is data dependent (paired)?

A

Longitudinal experiments

When the same variables are measured in the same subjects at different time points.

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15
Q

When is data independent (unpaired)?

A

cross-sectional studies

When two groups are being compared with no common factors.

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16
Q

What two components are obtained from a person’s correlation and what do they indicate?

A
  • an r-value: person’s correlation coefficient indicates strength of correlation
  • a p- value: indicates the probability that the observed relation was due to chance
17
Q

What are the two components of the Spearman’s correlation (used when data is not normally distributed)?

A

Spearman’s rho

p-value

18
Q

Define correlation

A

indicates the strength of the relationship between two variables

19
Q

Define regression

A

Quantifies the association between two variables. It tells us the impact that changing one variable will have on another variable. It is defined by y=a +bx

20
Q

Why are parametric stats used over non-parametric? (3)

A

· Easier to understand
· Analyses are more powerful
· Less likely to incorrectly reject/fail to reject the hypothesis

21
Q

When data is parametric which measure of central tendency is used?

A

Mean

22
Q

When data is non-parametric which measure of central tendency is used?

A

Median

23
Q

Rank the 7 different types of evidence from strongest to weakest

A
  1. Systematic reviews and meta-analyses
  2. Randomised control trials
  3. Well designed control trials
  4. Case control studies
  5. Systematic reviews of descriptive studies
  6. Descriptive cross-sectional studies
  7. Case report/series