RM- Data Flashcards

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
Q

What do scatter graphs show

A

Correlation between to variables

26
Q

Correlation can either be…

A

1.Positive or negative
2.Strong or weak

27
Q

What do distribution graphs show

A

The percentage of a population which fall into categories

28
Q

What does normal distribution look like

A

A bell curve

29
Q

What is a positively skewed distribution

A

Where the mean is higher than the median and mode (leans to the left)

30
Q

What is a negatively skewed distribution

A

Where the mean in lower than the median and mode (leans to the right)

31
Q

Formula for percentage change

A

Change / original x 100