NCompass Live: Conducting Surveys II: Data Collection
Upcoming SlideShare
Loading in...5
×

Like this? Share it with your network

Share
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,949
On Slideshare
1,947
From Embeds
2
Number of Embeds
1

Actions

Shares
Downloads
23
Comments
0
Likes
0

Embeds 2

http://www.slideshare.net 2

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Conducting Surveys II
    Data Collection
    NCompass Live – June 9, 2010
  • 2. About the presenter
    Research Analyst
    Special Projects Associate
    Grant writer
    Evaluator
    Kathryn.Brockmeier@Nebraska.gov
    402.471.4002
  • 3. About you
    Your role
    Library Director
    Trustee
    Friends/Foundation Board Member
    Your credentials
  • 4. About you, cont’d
  • 5. About you, cont’d
  • 6. Recap of Conducting Surveys I
    Reasons for conducting a survey
    Issues in effective questionnaire design, data collection and analysis, and reporting
    Questionnaire design, especially measurement, content, and structure
  • 7. About this presentation
    Sampling
    How to target your respondents
    Survey methods
  • 8. Sample
    A subset of individuals within a population of interest
    Sampling is the act, process, or technique of selecting a suitable sample, or a representative part of a population for the purpose of determining parameters or characteristics of the whole population
    Goal of sampling: to be able to make inferences to the population in question
  • 9. Why sample?
    Lower cost
    Faster data collection
  • 10. Sampling process
    Defining the population of concern
    Specifying a sampling frame, a set of items or events possible to measure
    Specifying a sampling method for selecting items or events from the frame
    Determining the sample size
    Implementing the sampling plan
    Sampling and data collecting
    Reviewing the sampling process
  • 11. Define the population
    Definition: Entire universe of individuals who have characteristic of interest
    Examples: Residents of city, residents of county, library card holders, users, nonusers, visitors to library, computer lab users, program attendees
  • 12. Sampling frame
    Definition: has a property that we can identify and can include in our sample
    Examples: telephone directory, city directory, patron database, attendance sheets, voter registration list, utility bill recipients, newspaper readers, random digit dialing (RDD)
  • 13. Sampling methods
    Probability sampling: every individual has an equal chance of being selected
    Nonprobability sampling: some units in the population have no chance of selection or the probability of selection can’t be accurately determined
  • 14. Sampling methods examples
    Probability
    Simple random
    Systematic
    Stratified
    Nonprobability
    Convenience
    Judgment
    Quota
    Snowball
  • 15. Sampling example #1
    Simple random
    Population: Patrons
    Frame: Patron database
    Method: Random number generator—in Excel: =RANDBETWEEN(num1,num2)
  • 16. Sampling example #2
    Systematic
    Population: City residents that have a listed land-line telephone
    Frame: Telephone directory
    Method: Randomly select a number n (ex., 20) or smaller, start there on the first page of the directory and select every nth (ex., 20th) entry
  • 17. Sampling example #3
    Convenience
    Population: Library visitors
    Frame: Anyone who approaches or passes by the reference desk
    Method: Stop as many people as possible
  • 18. Population example
    Entire universe
    Population: Event attendees
    Distribute questionnaire to everyone in attendance
  • 19. Sample size criteria
    Level of precision/sampling error (e.g., ±5 percent): range in which the true value of the population is estimated to be
    Confidence level: repeat sample values are normally distributed about the true value
    Degree of variability: heterogeneous populations require a larger sample size
  • 20. Determine sample size
    (Obtained responses)
  • 21. Implement the sampling plan
  • 22. Evaluate the sample
    Response rate
    Number completed
    Total number in sample
  • 23. Survey methods
    Questionnaire
    Mail, paper-and-pencil
    Group-administered
    Internet
    E-mail
    Interview
    Personal
    Telephone
  • 24. Targeting your respondents
    Mail
    E-mail
    Website
    Newsletter
    Press release
  • 25. Method of administration
    Paper-and-pencil (Self report, face-to-face, telephone)
    Electronic (e-mail)
    Online/Internet
    Pros/cons
  • 26. Paper-and-pencil
    Self report
    Face-to-face
    Telephone
  • 27. Online
    SurveyMonkey
    https://www.surveymonkey.com/
    Zoomerang
    http://www.zoomerang.com/
    FreeOnlineSurveys.com
    http://freeonlinesurveys.com/
    Polldaddy
    http://polldaddy.com/
    LimeSurvey
    http://www.limesurvey.org/
    SurveyGizmo
    http://www.surveygizmo.com/
    twtsurvey
    http://twtpoll.com/new.php?op=2
  • 28. Data collection walkthrough
    Paper-and-pencil
    Online
  • 29. Resources
    Survey Research Methods, 4th Ed., by Floyd Fowler
    http://www.statpac.com/surveys/sampling.htm
    http://www2.uiah.fi/projects/metodi/152.htm
    http://www.socialresearchmethods.net/kb/sampling.php
    http://nelearns.blogspot.com/2010/05/thing-37-engaging-your-users-with-polls.html
    http://www.techsoup.org/learningcenter/software/page10744.cfm
    http://www.techsoup.org/learningcenter/internet/page5048.cfm
  • 30. Next steps
    Evaluation
  • 31. Questions?
    CE credits
    Evaluation
  • 32. Related topics
    NCompass Live archived sessions
    Conducting Surveys I: Introduction and Questionnaire Design – May 12, 2010
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9680
    Presenting Data in Meaningful and Interesting Ways – Jan. 1, 2010
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9338
    American Factfinder - Mining the U.S. Census for Information about Your Community – Dec. 9, 2009
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9297
  • 33. Upcoming sessions
    Tech Talk with Michael Sauers – June 30
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9639
    Conducting Surveys III: Analyzing Data and Reporting Methods – July 14
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9638
    Communication--Getting the Word Out: Does your audience hear what you mean? – July 21
    http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9238
  • 34. Resources
    Survey Research Methods, 4th Ed., by Floyd Fowler
    http://www.statpac.com/surveys/sampling.htm
    http://www2.uiah.fi/projects/metodi/152.htm
    http://www.socialresearchmethods.net/kb/sampling.php
    http://nelearns.blogspot.com/2010/05/thing-37-engaging-your-users-with-polls.html
    http://www.techsoup.org/learningcenter/software/page10744.cfm
    http://www.techsoup.org/learningcenter/internet/page5048.cfm
  • 35. Your feedback
    http://www.surveymonkey.com/s/82PKWYH
    Thank you!