Data handling and analysis Flashcards Preview

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Flashcards in Data handling and analysis Deck (31)
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1
Q

What are meta-analyses and what type of data does this collect?

A

Collecting data from several studies with the same research aims and re-analysing them; Secondary data

2
Q

What is the mean?

A

Average score

3
Q

What is primary data?

A

Data collected first hand by the researcher, directly from their own participants. It is new data that has never been collected before

4
Q

What is the mode?

A

The most frequently occurring data/number

5
Q

What is the median?

A

The middle number

6
Q

What are the measures of dispersion?

A

Range and standard deviation

7
Q

What should you display on a bar chart?

A

Categorical/nominal data - set integer values, e.g. students in a class

8
Q

What should you display on a histogram?

A

Continuous data - can take on any value, e.g. weight

9
Q

What should you display on a scatter graph?

A

Correlational data

10
Q

What does a positive skew look like?

A

Scores are mainly below the mean and so are concentrated to the left of the graph

11
Q

What does a negative skew look like?

A

Scores are mainly above the mean and so are concentrated to the right of the graph

12
Q

Describe the range

A

Biggest no - smallest no. The higher it is the more variability is in the data set

13
Q

Describe the standard deviation

A

Tells you the spread of data around the mean and to see the relationships between scores

14
Q

What type of data uses the sign test?

A

Nominal

15
Q

What are co-variables?

A

The variables investigated in a correlational study. The relationship between them is investigated, not cause and effect

16
Q

What is nominal data?

A

Frequency data - it measures how many; uses the sign test or chi-squared test

17
Q

What is ordinal data?

A

Continuous data - data along a scale with inexact quantities between points; uses the Mann-Whitney or Wilcoxon tests

18
Q

What is interval data?

A

Continuous data - data on a scale with exact and equal intervals between points; uses the t-test or Pearson’s r

19
Q

What rhyme do you use to remember nominal data tests?

A

Naughty children swear constantly

20
Q

What rhyme do you use to remember ordinal data sets?

A

Only men want sausages

21
Q

What rhyme do you use to remember interval data sets?

A

I usually rate pizza

22
Q

Which measure of central tendency is the most sensitive and what does this make it?

A

Mean; makes it more representative of all values

23
Q

What is coding and when is it used?

A

The means by which qualitative data is summarised into meaningful categories for analysis. Used in thematic analysis

24
Q

What is the difference between content and thematic analysis?

A

Thematic analysis is different from content because you do not count the themes, you cluster them under headings

25
Q

How could thematic analysis be carried out on interview recordings?

A

Use the recordings to make a transcription of the interview, use coding to analyse this and then review it looking for themes linked to violent crime that sum up the work

26
Q

What is content analysis?

A

Summarising qualitative data into quantitative data through systematic examination of the material in order to determine meanings that underlie the content and counting the number of times a theme appears

27
Q

What is thematic analysis?

A

A method of qualitative research linked to content analysis, which involves analysing data to identify the patterns within it and summarising key ideas under these subheadings (but not counting themes)

28
Q

What is secondary data?

A

Secondhand data which already exists and have not acquired from participants

29
Q

What measurement of central tendency should be used with nominal data?

A

Mode

30
Q

What measurement of central tendency should be used with ordinal data?

A

Median

31
Q

What measurement of central tendency should be used with interval data?

A

Mean