CELLPHONE SAMPLING AT THE STATE LEVEL: GEOGRAPHIC …

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Stephanie Marken Kafka—Methodologist, The Gallup Organization Manas Chattopadhyay—Senior Statistician, The Gallup Organization Anna Chan—Senior Statistician, The Gallup Organization CELLPHONE SAMPLING AT THE STATE LEVEL: GEOGRAPHIC ACCURACY AND COVERAGE CONCERNS

Transcript of CELLPHONE SAMPLING AT THE STATE LEVEL: GEOGRAPHIC …

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Stephanie Marken Kafka—Methodologist, The Gallup OrganizationManas Chattopadhyay—Senior Statistician, The Gallup OrganizationAnna Chan—Senior Statistician, The Gallup Organization

CELLPHONE SAMPLING AT THE STATE LEVEL:GEOGRAPHIC ACCURACY AND COVERAGECONCERNS

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This document contains proprietary research, copyrighted materials, and literary property ofGallup, Inc. It is for the guidance of your company only and is not to be copied, quoted,published, or divulged to others outside of your organization. Gallup® and GallupConsulting® are trademarks of Gallup, Inc. All other trademarks are the property of theirrespective owners. No changes may be made to this document without the express writtenpermission of Gallup, Inc.

COPYRIGHT STANDARDS

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The percentage of cellphone only households has increased steadilysince 2005

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CELLPHONE PENETRATION CONTINUES TOINCREASE NATIONALLY

The Percentage of Cellphone Only Households in the U.S.

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WIRELESS ONLY HOUSEHOLD PERCENTAGESVARY GREATLY BY STATE

States with Highest % Wireless Only

State % Wireless OnlyHouseholds

Wyoming 54.6

Hawaii 51.3

Idaho 50.3

D.C. 49.8

New Mexico 49.4

Alaska 48.1

Arizona 47.5

Texas 46.4

Utah 46.2

Mississippi 45.7

States with Lowest % Wireless Only

State % Wireless OnlyHouseholds

Vermont 21.4

Connecticut 23.6

Delaware 24.3

Rhode Island 24.4

New Hampshire 25.5

Massachusetts 26.1

Pennsylvania 26.6

Maryland 29.8

Alabama 30.2

Iowa 31.1

Source: Marketing Systems Group (MSG)

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The growing percentage of cellphone users poses a significant samplingchallenge The state associated with a cellphone record on the cellphone sample file is

often different from the state in which the respondent actually lives This introduces both cost and coverage concerns when conducting studies at

the local level (state, MSA, city or town)– Cost

At the introduction to the interview, respondents that do not reside inthe targeted state are deemed ineligible and an otherwise eligiblerespondent is terminated

Study of Virginia residents– Sample designation: Virginia– True state of residence: Maryland

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SAMPLING DIFFICULTIES

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Coverage– Residents that would be eligible to participate in the study are

excluded because their designation on the sampling frame is a stateother than their current state of residence Study of Virginia residents

– Sample designation: Maryland– True state of residence: Virginia

– If excluded residents differ systematicallycoverage concerns increase

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SAMPLING DIFFICULTIES

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In their JSSM paper, Skalland et. al. defined this type of movement inand outside of a state as “overcoverage” and “undercoverage”¹

Overcoverage– The percentage of cell-phone only adults sampled from that state’s

cellphone sampling frame that currently reside in a different state Example: Percentage of cell-phone only adults sampled using

Virginia’s cellphone sample frame that live elsewhere i.e., Maryland

Undercoverage– The percentage of cellphone-only adults that reside in that state

although they appear on a different state’s cellphone sample frame Example: Percentage of cell-phone only adults that reside in Virginia

although they appear on other state’s cellphone frames such asMaryland

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DEFINING MOVEMENT BETWEEN STATES

Skalland and Khare, 2013. Geographic Inaccuracy of Cell Phone Samples and the Effect on TelephoneSurvey Bias, Variance, and Cost. Journal of Survey Statistics and Methodology, pp. 45-65.

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DIFFERENCES IN RESIDENCY AND SAMPLEDESIGNATION, BY STATE

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Purpose of discussion today we will focus on all cellphonehouseholds—including those that completed an interview viatheir cellphone device and are cellphone only, cellphonemostly and dual users

Overcoverage– The percentage of cellphone households sampled from that

state’s cellphone sampling frame that currently reside in adifferent state

Undercoverage– The percentage of cellphone households that reside in that

state although they appear on a different state’s cellphonesample frame

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DEFINING MOVEMENT BETWEEN STATES INGALLUP’S STATE OF THE STATES POLL

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About the study– June-December of 2013– Telephone study conducted with adults ages 18+ in all 50 states

(excluded D.C.)– Phone numbers selected using random-digit-dial (RDD)– Approximately 600 completed interviews per state– Dual-frame design with cellphone/landline distributions tailored

on a state-by-state basis but generally approximating 50/50– English/Spanish– Weighted to national targets on age, race/ethnicity, gender,

education and phone status and normalized those weights to statetargets

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GALLUP 2013 STATE OF THE STATESMETHODOLOGY

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The survey covered the following topics:– Business and Economics– Citizen Engagement– Education– Government and Politics– Food and Shelter– Health and Well-Being– Religion– Social Issues– Work– Law and Order

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STATE OF THE STATES SURVEY DESIGN

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OVERCOVERAGE PERCENTAGES BY STATE,RHODE ISLAND LEADS AND TEXAS FOLLOWS

States with Highest Overcoverage %

State Overcoverage %

Rhode Island 22.0

Delaware 21.6

North Dakota 21.5

Hawaii 20.4

Connecticut 19.2

Massachusetts 17.2

Nevada 17.1

New Hampshire 16.1

Virginia 14.7

Maryland 14.7

States with Lowest Overcoverage %

State Overcoverage %

Texas 5.6

Oklahoma 5.8

California 6.6

Alabama 7.8

Wisconsin 8.6

Minnesota 8.7

Iowa 8.8

Pennsylvania 9.0

Colorado 9.2

Alaska 10.1

Estimates are not weighted

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UNDERCOVERAGE PERCENTAGE BY STATE,VERMONT LEADS AND MICHIGAN FOLLOWS

States with Highest Undercoverage %

State Undercoverage %

Vermont 29.8

North Dakota 28.9

South Dakota 28.1

Wyoming 22.8

Wisconsin 20.3

Kentucky 20.1

Kansas 19.0

Massachusetts 18.8

Hawaii 18.4

West Virginia 18.2

States with Lowest Undercoverage %

State Undercoverage %

Michigan 2.9

Ohio 4.7

New Hampshire 4.9

California 5.1

Arkansas 6.1

New Jersey 6.3

Oregon 6.8

Alabama 6.8

Louisiana 7.3

Illinois 7.5

Estimates are weighted to national demographics

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DEMOGRAPHIC DISTRIBUTION BY MATCHSTATUS

Demographic Sample State =Resident State

Sample State ≠Resident State

Gender Male 53.43 49.28

Female 46.57 50.72

Age* 18-34 49.49 59.91

35-44 18.70 19.66

45-54 16.06 9.53

55-64 8.95 5.76

65+ 6.80 5.14

Race/Ethnicity* White 60.29 63.12

Black 13.30 10.98

Asian 2.69 6.11

Hispanic 21.68 17.66

Other 2.04 2.12

*Differences between the point estimate for a match and non-match are statistically significant

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DEMOGRAPHIC DISTRIBUTION BY MATCHSTATUS

Demographic Sample State =Resident State

Sample State ≠Resident State

Education* High school degree or less 45.74 32.89

Training/some college, nodegree 29.99 27.97

College degree and higher 24.28 39.14

Census Region Northeast 13.91 13.91

Midwest 21.58 20.07

South 39.93 45.18

West 24.57 20.84

*Differences between the point estimate for a match and non-match are statistically significant

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RESPONSE DISTRIBUTION ON KEY SURVEYITEMS BY MATCH STATUS

Survey Question Sample State =Resident State

Sample State ≠Resident State

Are you satisfied with the city or area where you live?

Satisfied 81.36 83.62

Dissatisfied 18.64 16.38

Would you recommend the city or area where you live to afriend or associate as a place to live, or not?

Recommend 77.54 78.90

Not recommend 22.46 21.10

Regardless of whether you will move, if you had theopportunity to move, would you like to move to anotherstate or would you rather remain in your current state?

Yes, would like to move* 39.78 53.27

No, would rather remain* 60.22 46.73

*Differences between the point estimate for a match and non-match are statistically significant

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RESPONSE DISTRIBUTION ON KEY SURVEYITEMS BY MATCH STATUS

Survey Question Sample State =Resident State

Sample State ≠Resident State

Thinking about the job situation in the city or area whereyou live today, would you say that it is now a good timeor a bad time to find a job?

Good time* 45.07 53.63

Bad time* 54.93 46.37

In the city or area where you live, are you satisfied ordissatisfied with the availability of quality health care?

Satisfied* 73.54 76.94

Dissatisfied* 26.46 23.06

Right now do you think the economic conditions in yourstate as a whole, are getting better or getting worse?

Getting better 93.64 94.19

Getting worse 6.36 5.81

*Differences between the point estimate for a match and non-match are statistically significant

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Are you satisfied or dissatisfied with the city or area where youlive?– Differences in % satisfied

South Dakota -3.66%

Would you recommend the city or area where you live to a friendor associate as a place to live, or not?– Differences in % recommend

South Dakota -3.49 Wyoming 1.92

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DIFFERENCES IN DUAL-FRAME ESTIMATES BETWEENMATCHED INTERVIEWS AND ALL INTERVIEWS

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Regardless of whether you will move, if you had the opportunityto move, would you like to move to another state or would yourather remain in your current state?– Differences in % will move

Kentucky 2.54% Hawaii 2.34% Nevada 2.04% Wyoming 1.83%

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DIFFERENCES IN DUAL-FRAME ESTIMATES BETWEENMATCHED INTERVIEWS AND ALL INTERVIEWS

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Thinking about the job situation in the city or area where youlive today, would you say that it is now a good time or a bad timeto find a job?– Differences in % good time

South Dakota -3.71 Kansas 3.04 Kentucky 2.61 Alaska -2.31

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DIFFERENCES IN DUAL-FRAME ESTIMATES BETWEENMATCHED INTERVIEWS AND ALL INTERVIEWS

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In the city or area where you live, are you satisfied or dissatisfiedwith the availability of quality health care?– Difference in % satisfied

North Dakota -3.36 Hawaii 1.80% West Virginia -1.66%

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DIFFERENCES IN DUAL-FRAME ESTIMATES BETWEENMATCHED INTERVIEWS AND ALL INTERVIEWS

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Percentage of over and under coverage varies by state Match statuses differ for subgroups of the population Overcoverage will probably continue to be more problematic as

respondents become more reliant on cellular devices Should we be worried?

– The coverage bias associated with this type of movement may ormay not affect the overall precision of your estimates

– Important to consider your research questions and tolerance forerror

– As the percentage of cellphone only, mostly and dual usersincrease, overcoverage and undercoverage percentages willcontinue to challenge researchers

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KEY FINDINGS

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Future research should focus upon:– Identifying the optimal sample design that samples from rate

centers in adjoining states for states in which undercoverage isproblematic

– Identifying topics and items that are most sensitive to biasassociated with undercoverage

– Leveraging the advantages of other methodologies that reduceresearchers reliance upon dual-frame samples when sampling atthe local level

Gallup is currently conducting the 2015 State of the States Study– Data will be available in November of 2015– Will repeat this analysis to identify potential changes– Will be including DC in the sampling process

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FUTURE RESEARCH

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Stephanie KafkaMethodologistGallupWashington [email protected]

QUESTIONS?