Research Method-quantiative Data Flashcards

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0
Q

What is qualitative data

A

Occurs as descriptive

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1
Q

Whats quantitative data

A

Occurs as numbers

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2
Q

What does bar chart show

A

Data in the form of categories being compared

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3
Q

What does histograms show

A

Present continuos data like test scores

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4
Q

What does frequency polygon show

A

⚫️Present continuous data
➡️used when two or more frequency distributions
➡️need to be compared

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5
Q

What does scattergrams show

A

⚫️used to display correlation data

➡️showing how co-variables are related

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6
Q

What does the measure of central tendency mean

A

⚫️methods of estimating mid-point scores
➡️in sets of data
➡️by summarising large amounts of data
➡️into typical scores

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7
Q

What does median mean

A

⚫️the middle score

➡️in a list of rank-ordered scores

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8
Q

What are the strengths of the median

A

⚫️not affected by extreme scores

⚫️the data can be put in rank order

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9
Q

What is the weakness of the median

A

⚫️not as sensitive as the mean
➡️as not all scores are used

⚫️can be unrepresentative in a small set of data

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10
Q

What is the mean

A

⚫️mathematical average
➡️calculated by
➡dividing the total scores
➡️by the number of scores

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11
Q

What is the strength of the mean

A

⚫️makes use of all the scores
➡️in a set of data
➡️in its calculation

⚫️most accurate measure of the central tendency
➡️uses the interval level of measurement
➡️where the units of measurements
➡️are of equal size

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12
Q

What is the weakness of the mean

A

⚫️mean score may not actually be one of the scores in the data

⚫️can be skewed (unrepresentative)
➡️if there are extreme scores

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13
Q

What is the mode

A

The most commonly occurring score in a set of data

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14
Q

What is the strength of the mode

A

⚫️less likely to be affected by extreme value

⚫️makes more sense than other measures of central tendency

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15
Q

What is the weakness of the mode

A

⚫️more than one mode can occur in a set of data

⚫️does not use all scores

16
Q

What does measures of dispersion mean

A

➡️measurements of the spread of scores

➡️within a set of data

17
Q

What is the range

A

The difference between the highest and lowest scores

18
Q

What is the strength of the range

A

⚫️relatively easy and quick to calculate

⚫️takes full account of extreme values

19
Q

What is the weakness of the range

A

⚫️can be distorted by extreme values

⚫doesnt show data as clustered
➡️or spread evenly around the mean

20
Q

What does the interquartile range mean

A

The spread of the middle 50% of a set of scores

21
Q

What are the strengths of IQR

A

➡️easy to calculate

➡️not affected by extreme values

22
Q

What are the weakness of IQR

A

⚫doesn’t make use of all the scores in a set of data

⚫️becomes inaccurate if there are large intervals between individual scores

23
Q

What does standard deviation mean

A

Measures of the variability of a set of scores from the mean

24
Q

What are the strengths of standard deviation

A

⚫️has sensitivity
➡️as all scores in a set if data is used

⚫️allows for the interpretation of individual scores

25
Q

What is the weakness of standard deviation

A

⚫️relatively complicated to calculate

⚫️becomes less meaningful
➡️if data are not normally distrubuted

26
Q

What is content analysis

A

⚫️converts qualitative data into quantitative data
➡️allowing the numerical analysis
➡️of written, verbal and visual communications

➡️such as newspapers, advertisements

27
Q

What dos content analysis require

A

⚫️creation of quantifiable coding units
➡️to categorise material to be analysed
➡categorising through coding units
➡️can involve words, themes, characters or time and space