Study designMeasurement systems analysis study requirements and dataset layout.

Requirements

  • A quantitative variable.
  • 1 or more optional factor variables indicating the random effects of interest.
  • At least 2 replicates at each level.

Dataset layout

Use a column for the measured variable (Measured value) and optionally a by variable (Level); each row is a separate measurement.

Level (optional) Measured value
120 121
120 118
120 124
120 120
120 116
… …
240 240
240 246
240 232
240 241
240 240
… …

Dataset layout for 1 random factor

Use a column for the measured variable (Measured value), and 1 columns for the random factor (Run), and optionally a by variable (Level); each row is a separate measurement.

Level (optional) Run Measured value
120 1 121
120 1 118
120 1 …
120 2 120
120 2 116
120 2 …
120 3 …
120 … …
… … …
240 1 240
240 1 242
240 1 …
240 2 260
240 2 238
240 2 …
240 3 …
240 … …
… … …

Dataset layout for 2 random factors

Use a column for the measured variable (Measured value), and 2 columns for the random factors (Day, Run), and optionally a by variable (Level); each row is a separate measurement.

Level (optional) Day Run Measured value
120 1 1 121
120 1 1 118
120 1 1 …
120 1 2 120
120 1 2 116
120 1 2 …
120 1 3 …
120 1 … …
120 2 1 124
120 2 1 119
120 2 1 …
120 2 2 118
120 2 2 121
120 2 2 …
120 2 3 …
120 2 … …
…   … …

Alternate dataset layout

Use multiple columns for the replicates of the measured variable (Measured value) and a by variable (Level), each row is a separate combination of level and factors.

Level Measured value
1 0.7 0.9 …
2 4.6 4.1 …
3 6.5 6.9 …
4 11 12.2 …
Note: All the above dataset layouts can arrange replicate measurements in a single row rather than in multiple rows.
Available in

From the Statistical Reference Guide for Analyse-it 6.24.0: https://analyse-it.com/docs/user-guide/measurement-systems-analysis/study-design

Statistical Reference Guide v6.24.0