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ERIC Number: ED536788
Record Type: Non-Journal
Publication Date: 2006
Pages: 112
Abstractor: ERIC
Reference Count: 0
ISBN: N/A
ISSN: N/A
Introduction to Data Analysis Handbook
Richmond, Brian
Academy for Educational Development
This Handbook provides an introduction to basic procedures and methods of data analysis. The authors provide a framework to guide program staff in their thinking about these procedures and methods and their relevant applications in MSHS (Migrant and Seasonal Head Start) settings. Accordingly, this Handbook was developed to support the work of MSHS staff across content areas. This Handbook was created because "using data in meaningful ways" includes many possibilities--and a great deal of information. Some of this information is complex and highly dependent upon specialized knowledge. However, there are many ways of "using data" that are more basic and that involve relatively simple procedures. Their purpose is to provide MSHS programs with a basic framework for thinking about, working with, and ultimately benefiting from an increased ability to use data for program purposes. Section I of the Handbook provides introductory information. Section I includes the presentation of the "guiding principles" they use in presenting information, as well as the articulation of specific learning objectives. In Section II, they present an introduction to ways of thinking about data and make the distinction between two basic types of data: quantitative and qualitative. Section III outlines information that they hope will assist program staff understand how to conceptualize data collection and its analysis as a process. In Section IV the authors discuss management considerations that should be addressed in order to gather and analysis data in an efficient and effective way in your program. The authors present a framework for managing the process of data collection and analysis. Because using data for program purposes is a complex undertaking it calls for a process that is both systematic and organized over time. In Section V of the Handbook they examine data analysis using examples of data from each of the Head Start content areas. They explore examples of how data analysis could be done. They identify and describe trends that programs collect. Finally, they offer a perspective of how data lends itself to different levels of analysis: for example, grantee-wide, by delegate agency, and/or center- or classroom-level. Their intent is to demonstrate how the different analytical procedures and methods can be powerful and effective tools for MSHS managers. Specific procedures and methods of data analysis are discussed with clear ways of using and working with data in order to identify results. Here, procedures and methods for working with both quantitative and qualitative data are presented. Appended are: (1) Foundations for Data Analysis Applications in MSHS; (2) Using Excel To Help Analyze Your Quantitative Date; and (3) Supplemental Resources.
Academy for Educational Development. 1825 Connecticut Avenue NW, Washington, DC 20009-5721. Tel: 202-884-8000; Fax: 202-884-8400; Web site: http://www.aed.org
Publication Type: Reports - Descriptive
Education Level: Early Childhood Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: Academy for Educational Development