# Data Analysis

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Ordinal
Raw data, order matters, individual scores. Uses histograms, frequency polygons and scattergrams (continuous data).
1 of 8
Nominal
Look for frequencies, categories, tables, tallies and totals. Can have a mode. Uses bar charts (discontinuous data).
2 of 8
Measures of Central Tendancy
Mean - affected by anomalies as accounts for all data. Median - not affected by extremes. Mode - not affected by extremes.
3 of 8
Type 1 error
Null hypothesis is rejected but affects are due to chance. A probability level too lenient is used. Not significant but claim it is.
4 of 8
Type 2 error
Null hypothesis accepted but effects are not due to chance. Using too stringent a probability level. Significant but claim it isn't.
5 of 8
Content Analysis
1) Researcher creates list of themes/categories they are interested in. 2) Done looking at data. 3) Look at data and see categories that emerge. 4) Give e.g.s of categories. 5) Review data, tally categories. 6) Tallies are totaled and analysed.
6 of 8
Measures of dispersion
Range. Standard deviation - the spread of data around the mean, the higher the SD, the greater the spread of data.
7 of 8
Interpreting stats tests - what do you need to know?
Whether the hypothesis is directional or non-directional, the probability level used and the sample size.
8 of 8

## Other cards in this set

### Card 2

#### Front

Look for frequencies, categories, tables, tallies and totals. Can have a mode. Uses bar charts (discontinuous data).

Nominal

### Card 3

#### Front

Mean - affected by anomalies as accounts for all data. Median - not affected by extremes. Mode - not affected by extremes.

### Card 4

#### Front

Null hypothesis is rejected but affects are due to chance. A probability level too lenient is used. Not significant but claim it is.

### Card 5

#### Front

Null hypothesis accepted but effects are not due to chance. Using too stringent a probability level. Significant but claim it isn't.