explores colour, texture, shape, form and space in 2 or 3 dimensions.

Data Type information about data type Categorical variables contain a finite number of categories or distinct groups. For example, categorical predictors include gender, material type, and payment method.

Categorical

Collected from information about collected from The earliest academic year data was collected from.

2006 - 07

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Data items
Name Old name Date collected Sensitivity information about sensitivity Data is given a sensitivity scale. Items are rated from A to E with A being highly sensitive and E being low. Identifiability information about identifiability Data is scored on identifiability scale from 1 to 5, the lower the number the higher the identifiability. Values
FSP_RICDR5 CRE_RESPOINT5 2006 - 07 to 2011 - 12 information about sensitivity Data is given a sensitivity scale. Items are rated from A to E with A being highly sensitive and E being low. E information about identifiability Data is scored on identifiability scale from 1 to 5, the lower the number the higher the identifiability. 5
Allowed Valuesfor EYFSP.FSP_RICDR5
Allowed Values for EYFSP.FSP_RICDR5 X T (True), F(False), N(Not Assessed), NULL

explores colour, texture, shape, form and space in 2 or 3 dimensions.

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