Data collection plan
Seven steps will be required to collect data.
I. Recognize the most important questions.
ii. Recognize the data type.
iii. iii.
4. Find the data you need.
V. Name the measurement method.
vi.Sample data
Select the preferred display mode
You can take measures
To mitigate statistical errors:
I.Pilot inspects the data collection methods.
II. Specificity is important.
To reduce uncertainty:
I.Bootstrapping
To get more power
I. I. Increase the sample size
Find more strength
I.Conducting robustness test such as model variation tests
Acceptable validity and reliability
1.Calculation of internal consistency
II. Regular item analysis
To reduce errors:
It is important to be quick, not accurate.
II.Data profiling.
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