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Needs Assessment

 

Topics

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Defining problems to be addressed

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"Wicked" problems

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Specifying the extent of a problem

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Identifying the target population and its service needs

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Determining a research design

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Units of analysis

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Variables and relationships

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Strengths and limitations of various data collection methods

  

Readings & Handouts

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Rossi, et al. Chapters 4

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Wholey, et al. Chapters 11 - 18

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Read this thoughtful essay about the importance of language for managers and policy analysts from a recent issue of the PA Times (Nov/Dec 2010).  It matters how terms are operationalized and measured. 

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We are often obsessed with measuring stuff and live in an age of numbers.  Read this interesting article in the New York Times (5/12) about our "Metric Mania"

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"Poverty" is an excellent example of problem definition and the role that changing values play.  See this chart and an article from the Washington Post (9/10) on rising poverty rates.  This chart from the New York Times also illustrates a variety of perspectives on poverty and unemployment around the country (9/11).  For an alternative perspective, see this article from National Review online and a report prepared by the Heritage Foundation (July 2011).

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Sometimes baseline information about a problem is lacking.  For example, customers in restaurants have a classic information asymmetry when it comes to making choices about nutrition when dining.  As a result, the Health Reform Act of 2009 (Obamacare) requires restaurants with more than 20 outlets to place nutrition information on menus.  But basic information about what the nutritional choices are is lacking.  The USA Today (5/12) reported the results of a study conducted by the Rand Corporation that contains some interesting baseline information on just how limited your choices are if you did want to eat healthy when dining out. 

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While numbers and data are important, it is also important to know where these numbers come from and what they mean.  It also important to remember that the numbers can be "fudged" to make conditions seem better or worse.  See this interesting article about the fudging of crime statistics (2/10) in New York.  Alternatively, even if the "fudging" may be justified on scientific grounds, these adjustments could become the subject of criticism.  See this interesting article that examines some adjustments made to sea level rise data (Fox News 6/11).  Similarly, unemployment rates are largely a function of the poorly understood labor force participation rate.  See this interesting article (ZeroHedge 2/12) that demonstrates how unemployment rates are trending down but at the same time their are fewer "jobs".  It is also important to realize if you are looking for something you never looked for before, you may find more of it but that doesn't mean there really is more of it.  See this interesting article from the USA Today on Mercury in the water (8/04)

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Sometimes it isn't the number per se that matters but the distribution of the numbers that is significant.  While having a lot of something may seem good, what if the folks who need it most don't get it?  See this interesting article that looks at the distribution of federal Stimulus Spending (AP - 5/09) after the financial troubles back in 2008. 

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While data and numbers are important, communicating these results effectively using tools like PowerPoint is critically important.  See this interesting article from Government Executive about how PowerPoint can be the enemy of thought (9/1/04)

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See this interesting article on the use of mystery shoppers by HHS that had to be scrapped for political reasons (GovExec 6/11). 

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Survey research can be a very useful form of data collection when done well.  However, when done poorly or intentionally collects misleading data, it is subject to manipulation.  See this interesting article from the Raleigh News & Observer (7/4/10) reporting on abuses from a pollster it once hired.  See this NY Post (11/18/13) article reporting on a census worker who fabricated data used in unemployment reports

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Read this interesting article from The Atlantic (12/11) on hidden biases and how they can complicate the use of surveys

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What happens when airline safety becomes too safe and there are no crashes to obtain data to improve airline safety?  See this interesting Star News article (10/21/12)

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Sometimes government programs cross the line in terms of the collection of personal information. See this interesting article from the Associated Press (9/2/12) where Florida had to pay back nearly $600,000 in welfare benefits denied because welfare recipients failed or refused to take a drug test

 

Lecture Notes

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Download as a PDF file (Supplemental notes)

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Figure - Data Collection Methods

 

Web Resources

Sources of Statistical Data

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U.S. Bureau of the Census

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U.S. Bureau of Labor Statistics

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Gateway to the statistics for 100 Federal Agencies (fedstats.gov)

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National Bureau of Economic Research

  

Guidance on Data Collection Methods on the Web
bullet Planning and Evaluation Resource Center, Data collection methods
 
Needs Assessment Guidance on the web
bullet World Health Organization – Needs assessment workbook
bullet NOAA Coastal Services Center, Needs Assessment Training
bullet The Community Tool Box, Assessing Community Needs
bullet US. Department of Health and Human Services, “Chapter 12: Tailoring a Program to your Community Through Needs Assessment” in Get Organized: A Guide to Preventing Teen Pregnancy
bullet Child Welfare Information Gateway
bullet Rotary International, Community Assessment Tools
bullet New Pathways to Planning – Needs assessment bibliography
 
Miscellaneous Examples of Community Needs Assessments
bullet Metropolitan Dallas, TX
bullet San Mateo County
bullet United Way Community Needs Assessment from Portland, OR
bullet City of Denton
bullet Greater Topeka, KA
 
Websites about "wicked" problems that have links to good information
bullet Wicked problems - Wikipedia
bullet Australian Public Service Commission, Tackling Wicked Problems : A Public Policy Perspective
bullet Poppendiek.com
bullet CogNexus Institute
 
 
 

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