data analysis in quantitative research? Flashcards

1
Q

what is the data format in quantitative data?

A

numerical

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2
Q

what in the name of the way quantitative data is displayed and summarised?

A

descriptive statistics

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3
Q

what are 4 different levels of measurement?

A

nominal, ordinal, interval, ratio

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4
Q

which of the 4 levels of measurements have different categories?

A

all of them

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5
Q

which of the 4 levels of measurement have categories that can be ranked?

A

ordinal, interval and ratio

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6
Q

which of the 4 levels of measurement have equal distances between categories?

A

interval and ratio

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7
Q

which of the 4 categories of measurement have a fixed zero?

A

ratio

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8
Q

what are 3 measures of central tendency?

A

mean, median, mode

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9
Q

what is mode frequency?

A

the most frequent value

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10
Q

what is range frequency?

A

difference between high and low values

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11
Q

what is the inter-quartile range?

A

difference between 20% and 75%

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12
Q

what is standard deviation?

A

subtract mean from each number, mean of remaining values

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13
Q

why do we perform statistical analysis?

A

draw interferences from the sample that we studied about the population of interest

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14
Q

what are the two basic approaches to statistical analysis?

A

hypothesis testing, estimation

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15
Q

what is the p value within statistical analysis?

A

the probability of obtaining the study results if the null hypothesis if the null hypothesis is true

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16
Q

what is the meaning behind the p value, when the figure lies between 0 and 1?

A

the closer it is to 0 the more likely it is the null hypothesis should be rejected

17
Q

statistical significance is set at 5% what does this mean?

A

p0.05 insufficient evidence to reject the null hypothesis

18
Q

define the power of study?

A

the probability of being able to detect a difference between study groups

19
Q

what is a confidence interval?

A

determines whether the results are of clinical significance, it is a measure of accuracy