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"The possibilities for misunderstanding are endless, and no researcher is immune." (Earl Babbie, The Practice of Social Research)
Before deploying your survey in the wild, test it!
Have several people from outside the library world and from different demographic strata (age, education level, etc.) take your survey.
Ask about the experience. Find out what was confusing or incomprehensible.
Look at the results and see if they correlate to your expectations.
If everything's jake, your survey is ready!
Open-Ended Questions are those in which the respondent provides their own answer.
Example: "What kinds of programming would you like the library to offer?"
Advantages: Can bring to light information you had not considered. Can garner anecdotal evidence.
Challenges: Data provided is non-uniform, open to interpretation, difficult to quantify, and potentially irrelevant.
Closed-ended questions are those where respondents choose from answers you provide.
Variants: Choose one of the following (multiple choice); Choose any of the following (check box).
Example: Which best describes how frequently you visit the library?Choose one: Daily, Weekly, Every other week, Monthly, Less often
Advantages: Responses are standardized and easy to quantify.
Challenges: Options must be mutually exclusive and exhaustive. There can be a bias towards normalcy (picking the middle choice). You may overlook important responses.
Likert Scale Statements: Statements of opinion which you ask respondents if they agree or disagree with. Named for the social researcher Rensis Likert.
Example: The library's service hours meet my needs.
Strongly Disagree Disagree Agree Strongly Agree N/A
Advantages: Responses are standardized and easy to quantify. Likert Scales are a tried and true method of gauging popular opinion.
Challenges: Respondents can be tempted to run a column. The way you word the statement can influence the outcome.
Your completed community vision and assessment tool reveals potential partners and other opportunities to meet community needs. It may also reveal threats (declining population, competing services, etc.)
Your survey results will indicate present strengths and weaknesses. Threats to your existing service models may also be revealed.
Your space needs assessment will indicate one very significant strength or weakness.
Opinion Statements (Likert Scale):
Look to the NDLCC's recently published standards for ND Public Libraries to identify weaknesses:
http://library.nd.gov/publications/NDLCCstandards.pdf
You can further identify concerns in the area of technology services that you might plan to address by looking at the Edge Benchmarks:
http://www.libraryedge.org/benchmarksv1
Once you have your SWOT mapped, you can start planning to maintain your strengths, take advantage of opportunities, remedy weaknesses, and address threats.
Closed-Ended Questions:
Source: http://commons.wikimedia.org/wiki/File:SWOT_pt.svg
In general:
Keep instructions and questions clear and brief.
Your respondents should be able to read each item quickly, understand its intent, and provide an answer without struggling.
Conducting a space needs assessment will also inform your strategic planning efforts.
A space needs assessment estimates if your library's current space is sufficient to meet foreseen future needs (like those you identified in your survey).
The following guidelines are from the International Federation of Library Associations and Institutions...
To avoid sampling bias, you want your survey distributed as widely as possible throughout your service area.
Open-Ended Questions:
Add together the following:
In sum, these allowances provide an estimate of your library's space needs in square meters. To convert to square feet, multiply the total by 10.764.
Confidence Interval: Essentially a margin of error (+/- x%). This means that if you'd asked everyone in the population area, instead of merely your sample, the actual result would be within this percentage of what you arrived at.
Confidence Level: If you have a 95% confidence level, this means that if you randomly asked anyone in the population area, 95% of the time, their response would fall within the confidence interval of your result.
Finding Your Desired Sample Size: A good target to shoot for is a 95% confidence level with a 4% confidence interval. If you're in a large service area, you could easily attain a smaller confidence interval; if you're in a small one, you may have to settle for a larger one.
The ways of categorizing data are limitless. Focus on those applicable to planning: things you can take action to address.
One response may fall under more than one category. "I wish you offered a mystery book club that started after 8pm" could be categorized as both More Adult Programming Needed and Extend Evening Hours.
Your categories should be mutually exclusive. You don't want to have both More Programming Needed and More Teen Programming Needed as categories. You can always clump like items when summarizing your results, but it makes precious little sense to redundantly codify data.
Once your results are in, you can use the calculator here to determine your actual confidence interval at either a 95 or 99% confidence level: http://www.surveysystem.com/sscalc.htm
Miss the mark? Don't despair. Your survey likely still provides you with useful data.
Confidence intervals are most significant for coin-flip responses. Mercifully, you're not trying to predict an election outcome. You're working to identifying trends and commonly held opinions.
Here's a broad example: If the following service were offered by the library, someone in my family would make use of it. Check all that apply:
Extended weekday evening hours 10%
Extended weekend hours 12%
Additional adult book club 1%
Additional computer classes 22%
Additional storytimes 2%
Additional teen game events 20%
Music production space 1%
Video production space 8%
Downloadable e-books 24%
Even if your confidence interval winds up a relatively abysmal +/-8% for the above results, you've still clearly identified three service needs, ruled out three possibilities you were considering, and found three strong contenders.
While you may not be able to say with certainty which is the most popular response for your community, you do have a pretty clear top three.
Here is the sample size you'll need to have a 95% confidence level with a 4% confidence interval based on the population of your service area:
Population Sample Size
1,000 375
1,500 429
2,000 462
2,500 484
3,000 500
4,000 522
5,000 536
7,500 556
10,000 566
12,500 573
15,000 577
20,000 583
25,000 586
30,000 588
40,000 591
55,000 594
65,000 595
110,000 597
If you need to calculate a sample size for a different confidence level, interval, and/or population you can do so here: http://www.raosoft.com/samplesize.html
Wait, isn't this an online survey? Yes. But one way to avoid sampling bias is to provide multiple ways to participate.
This step is totally optional, but some may wish to distribute print surveys, as well.
If you do, make them available at a few publicized locations throughout the community alongside drop boxes for completed forms.
Paper responses will still have to be entered into your spreadsheet from the completed forms. You can do this directly or through your online form.
First: examine your compiled responses for thematic trends; note that there will almost always be outliers
Second: Devise categories corresponding to identified trends
Third: Quantify by assigning each response to one or more categories
Fourth: Enter categories and their tallies into your spreadsheet for easy visualization and reference
Fifth: When publishing results, include both actual responses and how you interpreted/quantified them
Tally numerical data with:
=SUM('SHEET NAME'! X2:X)
Tally text responses from a multiple choice or checkbox question with: =arrayformula(count(iferror(find("RESPONSE CHOICE";'SHEET NAME'! X2:X))))
Get started here: https://drive.google.com/
Explanation: this counts each occurrence of RESPONSE CHOICE in SHEET NAME's column X from row 2 to the end, evaluating each cell as an array of responses; non-matching terms (errors) are counted as zeroes and matching terms are counted as ones.
You will have to use a separate formula to tally each RESPONSE CHOICE (mostly just cutting and pasting).
SHEET NAME is almost always Form Responses.
Each column corresponds to a different question.
A common thing you may want to tabulate is the % of respondents who chose a given RESPONSE CHOICE. Simply divide the figure you tabulated above by one less than the terminal row number of your Form Responses sheet (you subtract one for the header row).
Things to remember when creating a form:
You need a Google account to create survey forms and manage the data collected with them
Google accounts are free and easily acquired
If you don't have one, create a generic library or library director account
Those filling out the forms DO NOT need Google accounts; they don't
have to sign in or otherwise identify themselves in any way
Plan your survey instrument out. Have a clear idea what you want more information about, how you want to solicit it, and what order you want to ask your questions in.
Write out the purpose of the survey. Post this either on the first page of the survey or on the web page you'll be directing your participants to.
The time to revise and perfect is before you go live. Never change your survey instrument once you've started collecting data.
Once you're done collecting data (and you've closed your survey - to do this, open the form, click on Responses, and uncheck Accepting Responses), you're ready to make sense of the results!
Google's automated Summary of Responses may actually be sufficiently detailed for your purposes.
Free and easy to create
Allows a virtually unlimited number of respondents
Google's forms are mobile-friendly
Easy to share via social networks and e-mail, and embed on your site
Boast an ample array of question formats and allow logic branching
Facilitate fast and flexible analysis of responses
You can export data to Excel (.xlsx), OpenDocument format (.ods), or .csv
Not convinced? Compare to other survey apps here: http://goo.gl/KsRNN
If not, here are some Google Spreadsheets formulas to get you started:
A statement is ambiguous if it has two incompatible and unrelated meanings. Ambiguity can be lexical (single word with more than one meaning) or syntactic (part of the statement has more than one potential referent).
"Child's Stool Great for Use in Garden" (Lexical)
"I once shot an elephant in my pyjamas. How he got in my pyjamas, I'll never know." (Syntactic)
Ambiguity is the nemesis of accuracy. Context can eliminate it.
However, certain gaps still exist which can introduce a sampling bias that you should be aware of. Here's the latest Pew Research data:
Error One: Ambiguity
Error Two: Jargon
Error Three: Double-Barreled Questions
Error Four: Double Negatives
Error Five: Inherent Desirability or Social Stigma
Don't use library jargon, acronyms, or techie terms!
If you must use a field-specific term, explain it clearly and concisely immediately before asking about it.
Library jargon: ILL, ILS, OPAC, PAC, ODIN, NDLCC, CIPA, filter, periodical, serial, special collection, archive, card catalog, bib. record, automation, database...
Be wary of interrogators bearing conjunctions
Example: The library has convenient weekend and evening hours. Choose one: Agree Disagree Don't know
If a significant percentage of respondents disagree, does this indicate a need to increase your weekend hours, your evening hours, or both?
If a question on your survey contains the word AND, you should almost certainly rewrite it as two or more distinct questions.
The inherent desirability and social stigma of terms significantly influences responses.
Studies have shown that people respond differently to alternate phrasings of the same question.
Avoid terms that trigger knee-jerk responses.
Negative terms usher in confusion, especially for yes/no or Likert scale questions.
Double negatives confuse respondents and the interpretation of their responses.
Be wary of any questions with the words "not" or "no" or any words with the prefixes un-, in-, a-, or non-.
Avoid negation whenever possible!
Survey Methodology:
Sample Surveys:
Space Needs Assessment:
Trends:
North Dakota State Library - Summer Breeze 2013
Social Research as Part of Strategic Planning
http://goo.gl/pWcVUB