Describing Qualitative Data Flashcards

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1
Q

Nominal level

A

Categorising and coding participants responses. E. G female or male. Extrovert or introvert. Left-handed or right handed.
Numbers or codes given to each grouping for example left-handed 1/right handed 2.

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2
Q

Ordinal level

A

Allows data to be placed in order according to rank or according to a rating scale for example participants maybe showing photographs of 10 faces and be asked to put them in rank order of attractiveness

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3
Q

Ordinal

A

Ordinal data only provides information about the order it doesn’t detail the size of the difference between the items on the scale.eg. f-scale

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4
Q

Interval level

A

This tells us the order of the scale but it also tells us about the size of the difference between the items of the scale.

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5
Q

Mean

A

Add up all the scores then divide by the number within the group

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6
Q

Mean

A

describing an average score

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7
Q

Inferential statistics

A

Statistical tests that permit conclusions to be drawn from quantitative data from research

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8
Q

Range

A

The spread of data. A measure of dispersion representing the difference between the smallest and the largest score in a data set.

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9
Q

Calculating the range

A

Taking the smallest or most value in the data set away from the largest or highest.
Caution: this only provides information about the difference between the smallest and largest it doesn’t tell us about the other scores in between them.

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10
Q

Variance

A

A measure of dispersion

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11
Q

How do we calculate the variance

A

Subtract the mean from each score and square the result. you’ve then have an average of these values I By taking the √ of the variance to standard deviation can be calculated.

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12
Q

Descriptive statistics

A

Used to describe features of a dataset for example the mean and the standard deviation

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13
Q

The results section of a experimental report has three key functions

A
  1. Describe the data collected using the statistics mainly presented in tables and graph form

2 to report the results of other analysis using inferential statistics which allows conclusions to be drawn

  1. To confirm if the report supports the hypothesis.
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14
Q

Semantic scale

A

Is scale with opposite adjectives at each end for example good …..bad, high quality….. low quality, superior….. inferior .

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