Data Handling And Analysis Flashcards

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1
Q

what is primary data?

A
  • information collected directly from first-hand experience
  • specifically relates to purpose of the study
  • collected from interviews, observations, questionnaires etc
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2
Q

what would collecting primary data involve?

A
  • designing a study
  • gaining ethical approval
  • piloting the study
  • recruiting and testing participants
  • analysing data and drawing conclusions
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3
Q

what is a strength of primary data?

A

data collection is designed so it fits purpose of study

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4
Q

what is a limitation of primary data?

A

time-consuming and expensive

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5
Q

what are the 2 types of primary and secondary data?

A

quantitative and qualitative data

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6
Q

what is secondary data?

A

data was collected for a purpose other than the current study

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7
Q

what can secondary data include?

A
  • conducting met-analysis on data
  • review studies use secondary data
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8
Q

what are the strengths of secondary data?

A
  • simper and cheaper, less time consuming
  • data may already have been subjected to statistical testing (known if its significant)
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9
Q

what is a limitation of secondary data?

A

data may not exactly meet needs of the study

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10
Q

what is quantitative data?

A

numerical data

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11
Q

what is qualitative data?

A

non-numerical data
(open questions, interviews etc.)

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12
Q

what are descriptive statistics?

A
  • they summarise quantitative data
  • involves measures of central tendency, measures of dispersion, graphs and charts
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13
Q

what is the nominal level of measurement?

A

data can be placed or counted into different categories

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14
Q

what is the ordinal level of measurement?

A
  • data is ranked in order or rated on a scale
  • when using scale, points may be labelled
  • is subjective and each point on ordinal scale are not same value
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15
Q

what is the interval level of measurement?

A
  • interval scale orders measurements
  • intervals are equal - based on standard unit of measurement
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16
Q

what is the ratio level of measurement?

A

like interval data but has a genuine zero point

17
Q

what are the measures of central tendency?

A

mean, median, mode

18
Q

what is the mean, median and mode?

A

mean - arithmetic average
median - middle value when numbers are in order
mode - most common value

19
Q

what are the advantages of using the mode?

A
  • represents figure that occurs in data
  • useful when other measures of central tendency are meaningless
  • unaffected by 1 or 2 extreme scores
20
Q

what are the disadvantages of using the mode?

A
  • doesn’t tell us anything about other values
  • not always a single mode
  • small changes in data can radically alter mode
21
Q

what are the advantages of using the median?

A
  • relatively unaffected by extreme values
  • can be used on data with skewed distributions
22
Q

what are the disadvantages of using the median?

A
  • doesn’t work well in small data sets
  • ignores most scores
  • affected by alteration of central values
23
Q

what are the advantages of using the mean?

A

most powerful measure of central tendency

24
Q

what are the disadvantages of using the mean?

A
  • can’t be used on skewed data that has anomalies
  • can give misleading average
  • inappropriate to use on ordinal & nominal data
25
Q

what are the characteristics of a normal distribution curve?

A
  • symmetrical, bell-shaped
  • mean, median, mode at same point
  • dispersion of scores either side of midpoint
26
Q

what is a negative skew?

A
  • the highest point is to the right of the center
  • mean has lower value than mode & median
  • affected by lots of HIGH scores
27
Q

what is a positive skew?

A
  • highest scores are to the left of the center
  • mean has higher value than mode & median
  • affected by lots of LOW scores
28
Q

in a negative skew, where are the mean, median and mode?

A

mean (left) - lower end
median (middle)
mode (right) - higher end

29
Q

in a positive skew, where are the mean, median and mode?

A

mean (right) - lower end
median (middle)
mode (left) - higher end

30
Q

what are investigator effects?

A

occur when a researcher unintentionally, or unconsciously influences the outcome of any research they are conducting

31
Q

what are pilot studies?

A

small, trial versions of proposed studies to test their effectiveness and make improvements

32
Q

what are the measures of dispersion?

A

range
standard deviation

33
Q

what is the range?

A

difference between highest and lowest value of data set

34
Q

what is an advantage of the range?

A

easy to calculate

35
Q

what are the disadvantages of the range?

A
  • only considers extreme values
  • very sensitive to outliers
  • doesnt tell us anything about middle scores/distribution
36
Q

what is a standard deviation?

A

measures average distance of each score away from the mean

37
Q

what is an advantage of standard deviation?

A
  • most powerful measure of dispersion
  • uses all scores in set of data in calculation
38
Q

what is a disadvantage of standard deviation?

A

less effective when there are outlying scores that skew data

39
Q

what are desriptive statistics?

A

used to describe the data and show a summary of the results