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Editor's Notes

• #9: What should you know depends on your particular question and need for information. For example, for giving, income (higher income, increased capital gains), educational level (post-grad = higher giving), age (U shaped; lower for baby boomers), volunteer work, significantly affect charitable giving. For recruiting volunteers, here are some results: women were more likely to volunteer than men, married than other marital statuses, more educated, ages 35-54. For developing partnerships, understanding values and interests and maybe occupation would be helpful.
• #10: General research: trends and stats related to the economy, demographics (immigration trends), technology, social --kids count data center reported that the % of children living in poverty in Indiana increased from 17.1% in 2007 to 22.6% in 2011 Nonprofit research: research in the nonprofit sector (giving and volunteering trends) and in your specific area -report from National & Community Service reported that longer commuting time to work limit volunteer opportunities; strong relationship in metro areas between homeownership rates and volunteering -an update from Harvard Family Research Project reported that high-performing after-school programs typically offered a broad array of activities, opportunities for skill building and mastery; intentional relationship building; a strong experienced leader supported by staff, and support of sponsoring organization. Your research: research on your particular audiences -who are you serving? And how well are you serving them? -who is connecting to and engaging with your organization in terms of donors, volunteers, and partners? -is the community aware of your existence and services? Do they understand what you do? Result = very detailed profiles of ideal audiences set within a larger context of national/international & nonprofit trends
• #11: Coffee example to explain secondary vs. primary research Census: demographic data plus computer/internet use, commuting, health insurance, and well-being American Community Survey: subset of the Census data updated every year vs. every 10 years BLS: Info on things such as on what consumers are spending their money and how they spend their time from eldercare to household activities. Pew Research example: This report on those who gave to the “Text for Haiti” campaign is based on telephone surveys with 863 individuals who contributed money to the Haiti earthquake efforts using the text messaging feature on their cell phones. One main result: The ability to send small donations using mobile phones facilitates “impulse giving” in response to moving images or events for a sample who was tech advanced Jane to give her own personal example. Just posted a blog on website about social media demographics for those of you who want to know the best social media tools to use. Kids Count: hundreds of measures of child well-being RWJF: health and health care in the U.S. Checklist exercise
• #12: Coffee example to explain difference between quant & qual
• #13: Cautions: Survey method needs to match the audience: do they have access to internet? Do they have a landline? Example of Hispanic population: need to survey both landlines & cell phone to get representative coverage. Need to have way to contact: email, mailing address, phone #’s More likely to answer survey if they have a relationship with you or are interested in what you are asking about: might want to start with those you have a longer relationship with first, also look at how you frame your request for information Gather only the information you need to know to keep questionnaire short Well-written questionnaires with a clear stated purpose will increase response rate Online survey tools: SurveyMonkey, SurveyGizmo, GoogleForms Sampling: Asking everyone (census) or taking a sample: depends on what you are asking
• #14: Exercise: Survey question rewrite exercise
• #15: The qualitative method investigates the  why  and  how  of decision making, not just  what ,  where ,  when . Smaller but focused samples are more often needed than large samples. Can be used alone, before and/or after quantitative research
• #16: Coffee example to explain difference between quant & qual