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Introduction to Data Analysis Handbook - AED Center for Early Care ...

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Excerpts: Quantitative <strong>Data</strong> <strong>Analysis</strong>: An <strong>Introduction</strong><br />

Report <strong>to</strong> Program Evaluation and Methodology Division.<br />

United States General Accounting Office, 1992<br />

Successful data analysis, whether quantitative or qualitative, requires:<br />

•<br />

•<br />

•<br />

•<br />

Understanding of a variety of data analysis methods,<br />

Planning data analysis early in a project and making revisions in the plan as the work<br />

develops;<br />

Understanding which methods will best answer the study questions posed, given the<br />

data that have been collected;<br />

once the analysis is finished recognizing how weaknesses in the data or the analysis<br />

affect the conclusions that can properly be drawn.<br />

<strong>Data</strong> <strong>Analysis</strong><br />

After the data are collected, evalua<strong>to</strong>rs need <strong>to</strong> see whether their expectations regarding<br />

data characteristics and quality have been met. Choice among possible analyses should<br />

be based partly on the nature of the data—<strong>for</strong> example, whether many observed values<br />

are small and a few are large and whether the data are complete. if the data do not fit the<br />

assumptions of the methods they had planned <strong>to</strong> use, the evalua<strong>to</strong>rs have <strong>to</strong> regroup and<br />

decide what <strong>to</strong> do with the data they have.<br />

Balancing the analytic alternatives calls <strong>for</strong> the exercise of considerable judgment.<br />

Generic Types of Quantitative Questions<br />

Generic Question<br />

What is a typical value of the variable?<br />

How much spread is there among the cases? To what extent are two<br />

or more variables associated?<br />

To what extent are there causal relationships among two or more<br />

variables?<br />

Permission granted <strong>to</strong> copy <strong>for</strong> non-commercial uses only.

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