data analysis Flashcards

1
Q

What is data?

A

the information that has been gathered from a sample in a study

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2
Q

What are the 4 types of data?

A
  1. Qualitative
  2. Quantitative
  3. Primary
  4. Secondary
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3
Q

What are the 3 levels of data?

A
  1. Nominal
  2. Ordinal
  3. Interval
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4
Q

What is nominal data?

A

Category / frequency e.g., tally

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5
Q

What is Ordinal data?

A

ranking / ratings (an order)

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6
Q

What is interval data?

A

precise measurements

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7
Q

What are descriptive statistics?

A

a way of summarising and describing data

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8
Q

What are the two types of statistics?

A

descriptive and inferential

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9
Q

What are the two types of descriptive statistics?

A

measures of central tendency and measures of dispersion

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10
Q

What do measures of central tendency do?

A

summarise the data and give a typical value and middle of the data set

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11
Q

What are the 3 measures of central tendency?

A

mean, mode, and median

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12
Q

How do you calculate the mean?

A

add up all the values and then divide sum by however many values there are

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13
Q

Calculate the mean of:
7,7,5,7,4,5,8,37

A

10

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14
Q

What is the weakness of using a mean?

A

data can be skewed or distorted by outliers making the typical score misleading

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15
Q

What is the strength of using a mean?

A

as it takes all values into account it is more likely to be representative

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16
Q

How do you calculate the median?

A

arranging all values into ascending order (lowest to highest) and then using the middle value

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17
Q

What do you do if there are two numbers left when trying to find the median?

A

add both values together and divide by 2

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18
Q

Calculate the median of:
4,5,5,7,7,7,8,37

A

7

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19
Q

What is a strength of using the median?

A

an appropriate measure if there are outliers - not distorted

20
Q

What is a weakness of using the median?

A

less representative as it does not take all values into account

21
Q

How do you calculate the mode?

A

the most frequently occurring value

22
Q

Why is the mode different from other measures of central tendancy?

A

there can be no mode or more than one mode (bimodal or trimodal)

23
Q

Calculate the mode:
7,7,5,7,4,5,8,37

24
Q

What is the weakness of the mode?

A

at times does not indicate the typical data score

25
What is the strength of the mode?
only measure that can be used for nominal category data (no calculations required)
26
What do measures of dispersion do?
summarise the data but indicate the spread of values - the extent to which scores deviate from the mean
27
What are the 3 types of dispersion?
range, variation, and standard deviation
28
What is the range?
subtracting the lowest value from the highest value
29
Calculate the range 13,14,15,16,17
4
30
What is the preferred range?
0 (smaller)
31
Why is a smaller range preferred?
indicates values are closer to the mean and so more similar
32
What is the strength of the range?
very useful as it is a simple measure to calculate the spread
33
What is the weakness of the range?
it is completely determined by outliers and therefore can easily be distorted
34
What are the measures of dispersion that are not effected by outliers?
variance and standard deviation
35
What do variance and standard deviation do?
calculates the distance of every value from the mean and averages it
36
How many formulas are there to calculate standard deviation?
2
37
Why are there two formulas?
one for population and one for sample
38
What formula do you use most often?
sample
39
What are the steps to calculate standard deviation?
1- Calculate mean 2- take each value away from the mean 3- square each value 4- add squared totals together 5- divide squared total by sample size (-1) 6- square root
40
What is the strength of standard deviation?
not affected by outliers (unlike range) and take all values into account (representative)
41
What do inferential statistic do?
test for significance - make sure any relationship / difference is definite and not due to chance
42
What is the significance level most often used in psychology?
95% (P≤0.05)
43
What is the significance level for severe and important investigations?
99% (P≤0.01)
44
What are the two types of errors when analysing data?
Type 1 and Type 2
45
What is a type one error?
- saying you have found something when you have not - incorrectly rejecting a true null hypothesis - accepting a false alternate hypothesis
46
What is a type 2 error?
- saying you haven't found something when you have - accepting a false null (failure to reject it) - rejecting a true alternate hypothesis