RM- Data Flashcards

(31 cards)

1
Q

Quantitative data

A

Numerical data that can be statistically analysed

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2
Q

Qualitative data

A

Language conveyed via words, gathered in interviews, questionnaires etc

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3
Q

Evaluation of quantitative data

A

✅Easy to analyse
❌Lacks detail

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4
Q

Evaluation of qualitative data

A

✅Rich in detail
❌Difficult to analyse

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5
Q

Primary data

A

Collected first hand for the study that is being carried out

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6
Q

Secondary data

A

Has been collected previously by another researcher, not for the specific aim of your study

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7
Q

Evaluation of primary data

A

✅Controlled by researcher and focused on the study’s aims
❌Requires time, effort and money

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8
Q

Evaluation of secondary data

A

✅Cost and time effective
❌Not specific to the researchers aims

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9
Q

Meta analysis

A

Uses secondary data from a number of studies to form a joint conclusion

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10
Q

Evaluation of meta analysis

A

✅Large sample of data and participants, inc. validity and generalisability
❌Data from previous researchers may be inaccurate and some studies may have been picked to support the researchers hypothesis

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11
Q

Descriptive statistics

A

Ways of analysing data that show patterns or trends of the results

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12
Q

Calculating mean

A

Add all items and divide by number of items

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13
Q

✅❌ Mean

A

✅Takes all data into account
❌Can be skewed by anomalies

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14
Q

Calculating median

A

Put items in ascending order, take middle score

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15
Q

✅❌ Median

A

✅Not skewed by anomalies
❌Does not reflect all data

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16
Q

Calculating mode

A

Take the most frequently occurring score/item of data

17
Q

✅❌ Mode

A

✅Can be used with categoric data
❌Can be multiple modes
❌Not reflective of all data

18
Q

Measures of central tendency

A

Mean, median and mode (Averages)

19
Q

Measures of dispersion

A

Calculate the spread of data:
Range and Standard Deviation

20
Q

Calculating range

A

Subtract smallest item from largest item

21
Q

✅❌ Range

A

✅Simple to understand
❌ Only reflects extreme values

22
Q

Calculating standard deviation

A

Taking the average of how much each score deviates from the mean (if all scores are the same, SD is zero)

23
Q

✅❌ Standard deviation

A

✅Reflects the spread of data
❌Can be skewed by anomalies

24
Q

Types of graphs

A

Bar chart
Histogram
Line graph
Scatter graph

25
What do scatter graphs show
Correlation between to variables
26
Correlation can either be…
1.Positive or negative 2.Strong or weak
27
What do distribution graphs show
The percentage of a population which fall into categories
28
What does normal distribution look like
A bell curve
29
What is a positively skewed distribution
Where the mean is higher than the median and mode (leans to the left)
30
What is a negatively skewed distribution
Where the mean in lower than the median and mode (leans to the right)
31
Formula for percentage change
Change / original x 100