Introduction to Data Analysis Handbook - AED Center for Early Care ...
Introduction to Data Analysis Handbook - AED Center for Early Care ...
Introduction to Data Analysis Handbook - AED Center for Early Care ...
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Table of Contents<br />
i. introduction ...................................................................... 1<br />
introduction <strong>to</strong> the <strong>Handbook</strong> ...................................... 1<br />
Learning objectives ................................................... 2<br />
Guiding Principles ..................................................... 2<br />
What This <strong>Handbook</strong> Does not Do .............................. 2<br />
Why Do We need <strong>Data</strong> <strong>Analysis</strong>? .................................. 3<br />
ii. Ways of Thinking About <strong>Data</strong> ........................................ 5<br />
<strong>Data</strong> is .............................................................................. 5<br />
Qualitative <strong>Data</strong> .............................................................. 7<br />
Quantitative <strong>Data</strong> ........................................................... 8<br />
<strong>Data</strong> Strategies ................................................................ 9<br />
iii. Conceptualizing <strong>Data</strong> <strong>Analysis</strong> as a Process ............... 13<br />
The “Problem” with <strong>Data</strong> <strong>Analysis</strong> ............................... 13<br />
<strong>Data</strong> <strong>Analysis</strong> as a Linear Process ................................. 14<br />
<strong>Data</strong> <strong>Analysis</strong> as a Cycle ................................................ 15<br />
iV. Managing the <strong>Data</strong> <strong>Analysis</strong> Process ........................ 22<br />
Developing a Team ....................................................... 22<br />
Planning ........................................................................ 24<br />
<strong>Data</strong> Management ........................................................ 25<br />
Writing .......................................................................... 26<br />
Evaluation ..................................................................... 26<br />
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