ncompass live: conducting surveys ii: data collection

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Conducting Surveys II Data Collection NCompass Live – June 9, 2010

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Page 1: NCompass Live: Conducting Surveys II: Data Collection

Conducting Surveys II

Data Collection

NCompass Live – June 9, 2010

Page 2: NCompass Live: Conducting Surveys II: Data Collection

About the presenter

Research AnalystSpecial Projects AssociateGrant [email protected]

Page 3: NCompass Live: Conducting Surveys II: Data Collection

About you

Your role

Library DirectorTrusteeFriends/Foundation Board Member

Your credentials

Page 4: NCompass Live: Conducting Surveys II: Data Collection

About you, cont’d

Page 5: NCompass Live: Conducting Surveys II: Data Collection

About you, cont’d

Page 6: NCompass Live: Conducting Surveys II: Data Collection

Recap of Conducting Surveys I

Reasons for conducting a surveyIssues in effective questionnaire design, data collection and analysis, and reportingQuestionnaire design, especially measurement, content, and structure

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About this presentation

SamplingHow to target your respondentsSurvey methods

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Sample

A subset of individuals within a population of interestSampling 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 populationGoal of sampling: to be able to make inferences to the population in question

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Why sample?

Lower costFaster data collection

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Sampling process

Defining the population of concernSpecifying a sampling frame, a set of items or events possible to measureSpecifying a sampling method for selecting items or events from the frameDetermining the sample sizeImplementing the sampling planSampling and data collectingReviewing the sampling process

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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

Page 12: NCompass Live: Conducting Surveys II: Data Collection

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)

Page 13: NCompass Live: Conducting Surveys II: Data Collection

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

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Sampling methods examples

Probability

Simple randomSystematicStratified

Nonprobability

ConvenienceJudgmentQuotaSnowball

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Sampling example #1

Simple randomPopulation: PatronsFrame: Patron databaseMethod: Random number generator—in Excel: =RANDBETWEEN(num1,num2)

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Sampling example #2

SystematicPopulation: City residents that have a listed land-line telephoneFrame: Telephone directoryMethod: 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

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Sampling example #3

ConveniencePopulation: Library visitorsFrame: Anyone who approaches or passes by the reference deskMethod: Stop as many people as possible

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Population example

Entire universePopulation: Event attendeesDistribute questionnaire to everyone in attendance

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Sample size criteria

Level of precision/sampling error (e.g., ±5 percent): range in which the true value of the population is estimated to beConfidence level: repeat sample values are normally distributed about the true valueDegree of variability: heterogeneous populations require a larger sample size

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Determine sample size

(Obtained responses) Table 1. Sample size for ±3%, ±5%, ±7% and ±10% Precision Levels Where Confidence Level is 95% and

P=.5.

Size of Sample Size (n) for Precision (e) of:

Population ±3% ±5% ±7% ±10%

500 a 222 145 83

600 a 240 152 86

700 a 255 158 88

800 a 267 163 89

900 a 277 166 90

1,000 a 286 169 91

2,000 714 333 185 95

3,000 811 353 191 97

4,000 870 364 194 98

5,000 909 370 196 98

6,000 938 375 197 98

7,000 959 378 198 99

8,000 976 381 199 99

9,000 989 383 200 99

10,000 1,000 385 200 99

15,000 1,034 390 201 99

20,000 1,053 392 204 100

25,000 1,064 394 204 100

50,000 1,087 397 204 100

100,000 1,099 398 204 100

>100,000 1,111 400 204 100

a = Assumption of normal population is poor (Yamane, 1967). The entire population should be sampled.

Table 2. Sample size for ±5%, ±7% and ±10% Precision Levels

Where Confidence Level is 95% and P=.5.

Size of Sample Size (n) for Precision (e) of:

Population ±5% ±7% ±10%

100 81 67 51

125 96 78 56

150 110 86 61

175 122 94 64

200 134 101 67

225 144 107 70

250 154 112 72

275 163 117 74

300 172 121 76

325 180 125 77

350 187 129 78

375 194 132 80

400 201 135 81

425 207 138 82

450 212 140 82

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Implement the sampling plan

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Evaluate the sample

Response rate

Number completedTotal number in

sample

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Survey methods

QuestionnaireMail, paper-and-pencilGroup-administeredInternetE-mail

InterviewPersonalTelephone

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Targeting your respondents

MailE-mailWebsiteNewsletterPress release

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Method of administration

Paper-and-pencil (Self report, face-to-face, telephone)Electronic (e-mail)Online/Internet

Pros/cons

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Paper-and-pencil

Self reportFace-to-faceTelephone

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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

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Data collection walkthrough

Paper-and-pencilOnline

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Resources

Survey Research Methods, 4th Ed., by Floyd Fowlerhttp://www.statpac.com/surveys/sampling.htm http://www2.uiah.fi/projects/metodi/152.htm http://www.socialresearchmethods.net/kb/sampling.phphttp://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

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Next steps

Evaluation

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Questions?

Evaluation

CE credits

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Related topics

NCompass Live archived sessions

Conducting Surveys I: Introduction and Questionnaire Design – May 12, 2010http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9680

Presenting Data in Meaningful and Interesting Ways – Jan. 1, 2010http://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, 2009http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9297

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Upcoming sessions

Tech Talk with Michael Sauers – June 30http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9639

Conducting Surveys III: Analyzing Data and Reporting Methods – July 14http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9638

Communication--Getting the Word Out: Does your audience hear what you mean? – July 21http://www.nlc.state.ne.us/scripts/training/eventshow.asp?ProgID=9238

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Resources

Survey Research Methods, 4th Ed., by Floyd Fowlerhttp://www.statpac.com/surveys/sampling.htm http://www2.uiah.fi/projects/metodi/152.htm http://www.socialresearchmethods.net/kb/sampling.phphttp://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

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Your feedback

http://www.surveymonkey.com/s/82PKWYH

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