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  • 4 - Next Steps for Selecting and Implementing New Technologies - Going Virtual: Online Tools for Data Management
    budget Before implementing a tool you ll need to identify and understand the needs of the people who will use it These people include your volunteers or partners Also identify anyone else who is going to be impacted by your decision such as the consultants clients or even the board of directors These people are your key stakeholders To help you understand the needs of the key stakeholders pull together a focus group or conduct surveys Estimate the time that should be dedicated to this step based on the number of people impacted the processes affected and the overall business impact Free web based tools such as Google Docs allow you to create and analyze a survey online Next prioritize the organization s needs Think about what is most important and what the biggest pain points are in your organization and how technology can address them Finally you will want to identify your budget Several tools are either free or low cost however the amount of time it can take you to set up and run the tool can actually make the tool more expensive than some of the tools that have a subscription cost Review the comparison tables that provide guidance on time required for each tool Compare and prioritize features and conduct a pilot test Let your needs drive what kind of functionality you require A common pitfall is to choose the tool with the most features however this may not be the best choice for your organization Once you ve identified your needs take the time to compare the features that meet those needs You can begin by using the comparison table and report card provided Build upon these tools and adjust them for your organization Determine if you can get a free test drive of the product Ask end users to be involved Their involvement will result in highly applicable feedback Additionally you will be able to rely on them to help train the rest of the team or speak about their positive experiences with the tool Effectively prepare for and address change management Once a tool is chosen and the adoption phase begins you will need to involve key stakeholders in the beginning to help manage the change Many players are involved so you must identify and mitigate possible risks including refusal to adopt the tool or volunteers and partners not showing up Evaluating risk includes identifying the likelihood of an event occurring and the resulting negative impact Next think about how to communicate the decision to implement a new technology and how to get people involved What are you going to say to your stakeholders Is it going to be in a series of emails in a meeting or in a newsletter Finally who is going to be rolling this out and who can answer questions This is where your end user pilot advocates will come into play Also you can identify people whom you believe will be early adopters to have them be

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/datamanagement/default.aspx?chp=4 (2016-02-12)
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  • Summary - Going Virtual: Online Tools for Data Management
    your organization These online tools are useful for managing your donors and their donations Thank you for taking the time to watch this tutorial All of the tools reviewed were selected because they are low cost or even free for 501 c 3 organizations web based require little or no programming and advanced technical skill and fit the needs of many organizations Here s a summary of the tools reviewed

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/datamanagement/default.aspx?chp=5 (2016-02-12)
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  • Analyzing Data and Communicating Results
    define the degree of interdependence between the two variables Regression is the process of plotting the two variables on a graph and then finding a line that best fits the trends in the data It helps predict what values you might expect to see in one variable given another variable For both correlation and regression it is important to understand that the equations do not definitively provide evidence of a cause and effect relationship For example number of hours of technical assistance may go up as the capacity index score decreases a negative relationship One possible explanation would be that your capacity building program design requires that you spend more time with organizations with lower capacity scores On the other hand more hours of technical assistance may be associated with organizations with lower capacity scores because those organizations did not exhibit high levels of readiness for change CHAPTER 2 Analysis and Data Displays This chapter contains samples of analysis you might find in real capacity builders evaluation reports Text displays can be simple and ineffective Capacity builders face a number of circumstances where utilizing a graphic display can provide a more intuitive way of delivering the message and in some cases more compelling Explore the examples and utilize your knowledge of descriptive statistics to apply data analysis strategies and create a visual representation of your data Sample Measure 1 Increase in knowledge of best practices in managing Federal grants The goal of this capacity builder s training was to equip faith based and community organizations with the knowledge skills and tools to successfully manage Federal grants The capacity builder measured the outcome in two ways first in a post training survey participants were asked to agree or disagree with the statement I gained new knowledge about managing Federal grants These outcomes were self reported and if the capacity builder wanted to get more objective assessments about whether the organization did in fact learn something about managing Federal grants they might have administered a brief survey or quiz prior to and after the workshop Let us suppose that 54 percent of recipients reported that they gained new knowledge on the topic The analysis would ask Is this good What does this tell us about the training and possibly about the participants On one hand this tells us that nearly half of the participants did not learn anything new from the training You might conclude that your training participants have all the knowledge they need of grants management and schedule other training topics But it is possible that your staff observes something very different perhaps that most of the participating organizations are not tracking employee time in accordance with Federal rules and regulations or retaining records Now you have a different situation where your training contained very important information that the participants simply did not receive Your next step rather than to move onto other topics might be to find other ways to deliver the necessary information Sample Measure 2 Organizations implement management best practices One capacity builder used index scores for a capacity assessment and tracked the progress of each organization as well as the cohort across several categories of assessment Here is a sample of the data which analyzes the average and median index scores of all organizations in a cohort for each category The assessment asks whether the organization has key practices in place for each of the categories The results are tabulated into scores as the percentage of yes answers The index scores are tracked across time by category and in aggregate for the organization and the cohort As expected by the program results from the analysis indicated that index scores were increasing across the cohort However in the area of financial management the scores actually dropped According to this capacity builder this was because after the initial assessment the participating organizations increased their knowledge about the topic and then answered the questions on the assessment differently realizing that they did not have as many effective financial management practices in place as they initially thought What could have been interpreted as a negative outcome is instead explained as a possible positive outcome The capacity builder might also be interested in what capacity dimensions saw the most frequent improvements overall This might help them define future capacity building The program manager might start by identifying the single biggest area of improvement for each organization Sample Measure 3 Hours of Technical Assistance Let s suppose that the individual capacity index scores for the previous example are compared with the hours of technical assistance each organization received and were plotted Why would this be of interest In many programs a central theory of capacity building is that more technical assistance yields better results for capacity building If an organization is measuring capacity through the index scores and measuring the amount of technical assistance in hours it makes sense to explore the relationship between those sets of data to see what information is available to managers Contracted evaluators may perform rigorous statistical analysis including correlation and regression analysis as discussed in the previous section however you will see in the chart below that even non statistically savvy managers can examine the relationships between two variables Use the activity on the right to explore what this data set looks like when plotted on a two variable chart CHAPTER 3 Communicating Results Now that capacity builders have the data in hand it is now time to focus on communicating the results The process of communicating results focuses on marshalling support from various external stakeholders and generating enthusiasm about the results of the program If the capacity builder has dedicated marketers or fundraisers they should be leading or a key advisor on the plans you make When considering how to use the results externally create a plan that incorporates what to communicate how to communicate it and the target audience The following suggestions are great ways to communicate your findings You will determine what is

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/Print.aspx (2016-02-12)
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  • Interactivites
    get through click the chapter title on the tabs above for additional instruction Overview None Statistics Test your knowledge of descriptive statistics Test your knowledge of descriptive statistics Text version of audio here Analysis and Data Displays A simple pie chart can help display information A simple pie chart can help display information Text version of audio here An example of capacity index scores displayed in a two variable plot

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/Interactivities.aspx?chp=99 (2016-02-12)
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  • Interactivites
    any time by pressing the Pause button on the bottom left of the player The buttons at the bottom right of the player allow you to control the volume and shift the video to full screen On Screen Text Below the player you will find on screen text This includes the detailed information you will need to know in order to meet learning objectives for the lesson Icons Next to

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/Help.aspx?chp=99 (2016-02-12)
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  • Overview - Analyzing Data and Communicating Results
    measurement plan are analyzing your data and communicating the results of your analysis Data analysis is more than figuring out ways to make beautiful pie charts and other graphics It is about looking at the information you have collected and asking yourself what it means Once you have the data it is up to you to make use of it to inform decisions about your programs This can be achieved by effectively communicating your results to your audience which centers around marketing your outcomes to external stakeholders By the end of this lesson you will be able to recall the types of descriptive and inferential statistics utilize data analysis strategies when developing an evaluation report and apply communication strategies to gather support from external stakeholders Analyzing data and communicating results is part of the outcome measurement plan Although there are many uses for the information generated by outcome measurement organizations often engage in outcome measurement because they are required to do so They are asked to be accountable for the use of their grantmakers funds This includes foundations and grantmaking organizations such as United Way as well as local state and Federal governments Every organization hopes to deliver quality services

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/default.aspx?chp=0 (2016-02-12)
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  • 1 - Statistics - Analyzing Data and Communicating Results
    organization was able to raise many times the amount of others the average goes up significantly Median The median is found by sorting all the data from lowest to highest and taking the value of the number in the middle If there is an even number of observations the median is the average of the two numbers in the middle Considerations If the distribution of data is very skewed the median is a more useful tool to indicate the central tendency because it is less influenced by outliers Mode The mode is the common value in the data set Considerations Mode is particularly useful when you have data that is grouped into a small number of classes for example the type of organization you are serving or what county the organization operates in The mode is simply the type of organization you serve most frequently or the county where the largest number of organizations operate Standard Deviation Standard deviation is a measure of the variability or dispersion of a data set Considerations A low standard deviation indicates that the data points tend to be very close to the same value the mean while high standard deviation indicates that the data are spread out over a large range of values For example if looking at the amount of money each organization devoted to hiring consultants if the range of dollars spent was between 40 200 dollars the standard deviation would be low compared to a range of 20 300 000 Ratio A ratio is an expression that compares quantities relative to each other Considerations A ratio is a proportional relationship and therefore compares two variables against each other Test your knowledge of descriptive statistics You need Adobe Flash Player to view some content on this site Inferential statistics help you draw

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/default.aspx?chp=1 (2016-02-12)
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  • 2 - Analysis and Data Displays - Analyzing Data and Communicating Results
    training and possibly about the participants On one hand this tells us that nearly half of the participants did not learn anything new from the training You might conclude that your training participants have all the knowledge they need of grants management and schedule other training topics But it is possible that your staff observes something very different perhaps that most of the participating organizations are not tracking employee time in accordance with Federal rules and regulations or retaining records Now you have a different situation where your training contained very important information that the participants simply did not receive Your next step rather than to move onto other topics might be to find other ways to deliver the necessary information A simple pie chart can help display information You need Adobe Flash Player to view some content on this site Sample Measure 2 Organizations implement management best practices One capacity builder used index scores for a capacity assessment and tracked the progress of each organization as well as the cohort across several categories of assessment Here is a sample of the data which analyzes the average and median index scores of all organizations in a cohort for each category The assessment asks whether the organization has key practices in place for each of the categories The results are tabulated into scores as the percentage of yes answers The index scores are tracked across time by category and in aggregate for the organization and the cohort As expected by the program results from the analysis indicated that index scores were increasing across the cohort However in the area of financial management the scores actually dropped According to this capacity builder this was because after the initial assessment the participating organizations increased their knowledge about the topic and then answered the

    Original URL path: http://www.strengtheningnonprofits.org/resources/e-learning/online/analyzingdata/default.aspx?chp=2 (2016-02-12)
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