Summary Data Quality Report

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Behavioral Risk Factor Surveillance System (BRFSS)

Summary Data Quality Report

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Attachment 11: 2013 Summary Data Quality Report




Behavioral Risk Factor Surveillance System

2013 Summary Data Quality Report




 











 

 




Introduction

The Behavioral Risk Factor Surveillance System (BRFSS) is a state-based, CDC-assisted health data collection project. It comprises telephone surveys conducted by the health departments of all 50 states, the District of Columbia, Puerto Rico, the Virgin Islands, and Guam. This Summary Data Quality Report presents detailed descriptions of the 2013 BRFSS calling outcomes and call summary information for each of the states and territories that participated in the 2013 BRFSS. All BRFSS public-use data are collected by landline telephone and cellular telephone to produce a single data set aggregated from the 2013 BRFSS territorial and state-level data sets. The variables and outcomes provided in this document are applicable to a combined data set of responses from participants using landline telephones and cellular telephones within each of the states and territories.


The inclusion of data from cellular telephone interviews in the BRFSS public release data set has been standard protocol since 2011. In many respects, 2011 was a year of change—both in BRFSS approach and methodology. As the results of cellular telephone interviews were added in 2011, so were new weighting procedures that could accommodate the inclusion of new weighting variables. Data users should note that new weighting procedures are likely to affect trend lines when comparing BRFSS data collected before and after 2011; because of these changes, users are advised NOT to make direct comparisons with pre-2011 data, and instead, begin new trend lines with that year. Details of changes beginning with the 2011 BRFSS are provided in the Morbidity and Mortality Weekly Report (MMWR), which highlights weighting and coverage effects on trend lines [1].


The measures presented in this document are designed to summarize the quality of the 2013 BRFSS survey data. Response rates, cooperation rates, and refusal rates for BRFSS are calculated using standards set by the American Association of Public Opinion Research (AAPOR) [2]. The BRFSS has calculated 2013 response rates using AAPOR Response Rate #4, which is in keeping with rates provided by BRFSS prior to 2011 using rates from the Council of American Survey Research Organizations (CASRO) [3].


Based on the guidelines of AAPOR, response rate calculations include assumptions of eligibility among potential respondents/households that are not interviewed. Changes in the geographic distribution of cellular telephone numbers by telephone companies and the portability of landline telephone numbers are likely to make it more difficult than in the past to ascertain which telephone numbers are out-of-sample and which telephone numbers represent “likely households.” The BRFSS calculates likely households using the proportions of eligible households among all phone numbers where eligibility has been determined. This “eligibility factor” appears in calculations of response-, cooperation-, resolution-, and refusal rates.

Interpretation of BRFSS Response Rates

Because this report reflects the initial inclusion of BRFSS cellular telephone interviews, contextual information on cellular telephone response rates is provided below. Although cellular telephone response rates are generally lower than landline telephone response rates across most surveys, the BRFSS has achieved a cellular telephone response rate that compares favorably with other similar surveys (Table 1).


Table 1
Examples of Cellular Telephone and Landline Survey Response Rates


Response Rates

Survey

Year(s)

Landline

Cell Phone

California Health Interview Survey (CHIS)1

2011–2012

19.7%

11.1%

The Commonwealth Fund 2010 Biennial Health Insurance Survey2

2012

22.0%

19.0%

National Immunization Survey (NIS)3

2011

61.7% a

25.2%

Pew Internet and American Life Project4

2012

11.1%

10.0%

National Adult Tobacco Survey (NATS)5

2009–2010

40.4%

24.9%

BRFSS6

2013

49.6%

37.8%

aUnlike the BRFSS, the NIS does not include household sampling in the landline portion of the study but interviews the adult who self-identifies as "most knowledgeable" about household immunization information.

1http://healthpolicy.ucla.edu/chis/design/Documents/chis2011-2012-method-2_2014-02-21.pdf

2http://www.commonwealthfund.org/Surveys/2013/Biennial-Health-Insurance-Survey.aspx

3http://www.cdc.gov/vaccines/stats-surv/nis/dual-frame-sampling-08282012.htm

4http://www.people-press.org/2006/05/15/the-cell-phone-challenge-to-survey-research/

5http://www.cdc.gov/tobacco/data_statistics/surveys/nats/

6BRFSS response rates are presented here as median rates for all states and territories


Research by the Pew Research Center indicates that response rates for all telephone-based surveys have declined in recent years [4]. Despite lower response rates, this research supports previous findings [5] that weighting to demographic characteristics of respondents ensures accurate estimates for most measures.


The following tables present landline telephone and cellular telephone calling outcomes and rates. The BRFSS cellular telephone survey was collected in a manner similar to the BRFSS landline telephone survey. One important difference, however, is that interviews conducted by landline telephones include random selection among adults within households, while cellular telephone interviews are conducted with adults who are contacted on personal (nonbusiness) cellular telephones. The report presents data on three general types of measure by state:


1. Call outcome measures, including response rates, which are based on landline telephone disposition codes.


2. Call outcome measures, including response rates, which are based on cellular telephone disposition codes.


3. A weighted response rate, based on a combination of the landline telephone response rate with the cellular telephone response rate proportional to the total sample used to collect the data for a state.



The BRFSS recommends that authors/researchers referencing BRFSS data quality include the following language, below. Note the places where authors should include information specific to their projects.


Response rates for BRFSS are calculated using standards set by the American Association of Public Opinion Research (AAPOR) Response Rate Formula #4 (http://www.aapor.org/Standard_Definitions2.htm). The response rate is the number of respondents who completed the survey as a proportion of all eligible and likely-eligible persons. The median survey response rate for all states, territories and Washington, DC, in 2013 was 46.4, and ranged from 29.0 to 60.3.a Response rates for states and territories included in this analysis had a median of [provide median] and ranged from [provide range],b For detailed information see the BRFSS Summary Data Quality Report.c

a Response rates and ranges should reflect the year(s) included in the analyses.
b Response rates for states selected for analysis should be included here. This sentence may be omitted if all states are used in the analysis.
c This link is to the Summary Data Quality Report for the year(s) included in the analyses. http://www.cdc.gov/brfss/technical_infodata/quality.htm

BRFSS 2013 Call Outcome Measures and Response Rate Formulae

The calculations of calling outcome rates are based on final disposition codes that are assigned after all calling attempts have been exhausted. The BRFSS may make up to 15 attempts to reach respondents prior to assigning a final disposition code. In 2013, the BRFSS used a single set of disposition codes for both landline and cell phones, adapted from standardized AAPOR disposition codes for telephone surveys. A few disposition codes apply only to landline telephone or cellular telephone sample numbers. For example, answering-device messages may confirm household eligibility for landline telephone numbers but are not used to determine eligibility of cellular telephone numbers. Disposition codes reflect whether interviewers have completed or partially completed an interview (1000 level codes), determined that the household was eligible without completing an interview (2000 level codes), determined that a household or respondent was ineligible (4000 level codes), or was unable to determine the eligibility of a household and/or respondent (3000 level codes). The table below illustrates the codes used by the BRFSS in 2013 and it notes the instances where codes are used only for landline telephone or cellular telephone sample numbers.


The Disposition Code Table below uses a number of terms to define and categorize outcomes. These include:


  • Respondent: A person who is contacted by an interviewer and who may be eligible for interview.

  • Landline telephone: A telephone that is used within a specific location, including traditional household telephones, VOIP, and internet phones connected to computers in a household.

  • Cellular telephone: A mobile device that is not tied to specific location for use.

  • Selected respondent: A person who is eligible for interview. For the cellular telephone sample, a selected respondent is an adult associated with the phone number who lives in a private residence or college housing within the US or territories covered by the BRFSS. For the landline telephone sample, a selected respondent is the person chosen for interview during the household enumeration section of the screening questions.

  • Personal cellular telephone: A cellular telephone that is used for personal calls. Cellular telephones that are used for both personal and business calls may be categorized as personal telephones and persons contacted on one are eligible for interview. Persons using business-only telephones are not using personal telephones and, therefore, are not eligible for interview.




Table 2
2013 Landline Telephone and Cellular Telephone BRFSS Disposition Codes

Category

Code

Description

Interviewed
(1000 level codes)

1100

Completed interview

1200

Partially completed interview

Eligible, Non-Interview
(2000 level codes)

2111

Household level refusal (used for landline only)

2112

Selected respondent refusal

2120

Break off/termination within questionnaire

2210

Selected respondent never available

2220

Household (nonbusiness) answering device
(used for landline only)

2320

Selected respondent physically or mentally unable to complete interview

2330

Language barrier of selected respondent

Unknown Eligibility

3100

Unknown if housing unit

3130

No answer

3140

Answering device, unknown whether eligible

3150

Telecommunication barrier (i.e. call blocking)

3200

Household, not know if respondent eligible

3322

Physical or mental impairment (household level)

3330

Language barrier (household level)

3700

On never call list

Not Eligible

4100

Out of sample

4200

Fax/data/modem

4300

Nonworking/disconnected number

4400

Technological barrier
(i.e. fast busy, phone circuit barriers)

4430

Call forwarding/pager

4450

Cellular telephone number
(used for landline telephone only)

4460

Landline telephone number
(used for cellular telephone only)

4470

Cellular telephone respondent ineligible
due to percent of landline usage

4500

Non-residence

4510

Group home

4700

Household, no eligible respondent
(teen phone/minor child cellular telephone)

4900

Miscellaneous, non-eligible


Factors affecting the distribution of disposition codes by state include differences in telephone systems, sample designs, surveyed populations, and data collection processes. Table 3 defines the categories of disposition codes used to calculate outcome and response rates illustrated in Tables 4A through 6.


Table 3
2013 Landline and Cellular Telephone BRFSS Disposition Codes


Category

Disposition Code
Definitions


Formulae Abbreviation

Completed interviews

1100+1200

COIN

Eligible

1100+1200+2111+2112+2120+2210+2220+2320+2330

ELIG

Contacted eligible

1100+1200+2111+2112+2120+2210+2320+2330

CONELIG

Terminations and refusals

2111+2112+2120

TERE

Ineligible phone numbers

All 4000 level disposition codes

INELIG

Unknown whether eligible

All 3000 level disposition codes

UNKELIG

Eligibility factor

ELIG/(ELIG + INELIG)

E



Eligibility Factor

E = ELIG/ (ELIG + INELIG)

The Eligibility Factor is the proportion of eligible phone numbers from among all sample numbers for which eligibility has been determined. The eligibility factor, therefore, provides a measure of eligibility that can be applied to sample numbers with unknown eligibility. The purpose of the eligibility factor is to estimate the proportion of the sample that is likely to be eligible. The eligibility factor is used in the calculations of refusal and response rates. Separate eligibility factors are calculated for landline telephones and cellular telephone samples for each state and territory.



Resolution Rate

((ELIG + INELIG) / (ELIG+INELIG+UNKELIG))*100

The Resolution Rate is the percentage of numbers in the total sample for which eligibility has been determined. The total number of eligible and ineligible sample phone numbers is divided by the total number of phone numbers in the entire sample. The result is multiplied by 100 to calculate the percentage of the sample for which eligibility is determined. Separate resolution rates are calculated for landline telephone and cellular telephone samples for each state and territory.



Interview Completion Rate

(COIN / (COIN + TERE)) * 100

The Interview Completion Rate is the rate of completed interviews among all respondents who have been determined to be eligible and selected for interviewing. The numerator is the number of complete and partially completed interviews. This number is divided by the number of completed interviews, partially completed interviews, and all break offs, refusals, and terminations. The result is multiplied by 100 to provide the percentage of completed interviews among eligible respondents who are contacted by interviewers. Separate interview completion rates are calculated for landline telephone and cellular telephone samples for each state and territory.



Cooperation Rate

(COIN / CONELIG) *100

The AAPOR Cooperation Rate is the number of complete and partial complete interviews divided by the number of contacted and eligible respondents. The BRFSS Cooperation Rate follows the guidelines of AAPOR Cooperation Rate #2. Separate cooperation rates are calculated for landline telephone and cellular telephone samples for each state and territory.


Refusal Rate

(TERE / (ELIG + (E * UNKELIG))) * 100

The BRFSS Refusal Rate is the proportion of all eligible respondents who refused to complete an interview or terminated an interview prior to the threshold required to be considered a partial interview. Refusals and terminations (TERE) are in the numerator, and the denominator includes all eligible numbers and a proportion of the numbers with unknown eligibility. The proportion of numbers with unknown eligibility is determined by the eligibility factor (E; described above). The result is then multiplied by 100 to provide a percentage of refusals among all eligible and likely to be eligible numbers in the sample. Separate refusal rates are calculated for landline telephone and cellular telephone samples for each state and territory.

Response Rate

(COIN / ((ELIG + (E * UNKELIG))) * 100

A Response Rate is an outcome rate with the number of complete and partial interviews in the numerator and an estimate of the number of eligible units in the sample in the denominator. The BRFSS Response Rate calculation assumes that the unresolved numbers contain the same percentage of eligible households or eligible personal cell phones as the records whose eligibility or ineligibility are determined. The BRFSS Response Rate follows the guidelines for AAPOR Response Rate #4. It also is similar to the BRFSS CASRO Rates reported prior to 2011. Separate eligibility factors are calculated for landline telephone and cellular telephone samples for each state and territory and a combined Response Rate for landline telephone and cellular telephone also is calculated. The combined landline telephone and cellular telephone response rate is generated by weighting to the respective size of the two samples. The total sample equals the landline telephone sample plus cellular telephone sample. The proportion of each sample is calculated using the total sample as the denominator. The formulae for the proportions of the sample are found below:


P1 = TOTAL LANDLINE SAMPLE /
(TOTAL LANDLINE SAMPLE + TOTAL CELL PHONE SAMPLE);



P2 = TOTAL CELL PHONE SAMPLE /
(TOTAL LANDLINE SAMPLE + TOTAL CELL PHONE SAMPLE);

The formula for the Combined Landline Telephone and Cellular Telephone Weighted Response Rate, therefore, is described below:

COMBINED RESPONSE RATE=
(P
1 * LANDLINE RESPONSE RATE) + (P2 * CELL PHONE RESPONSE RATE).




Tables of Outcomes and Rates by State

The tables on the following pages illustrate calling outcomes in categories of eligibility, rates of cooperation, refusal, resolution, and response by landline telephone and cellular telephone samples.


  • Tables 4A and 4B provide information on the size of the sample and the numbers and percentages of completed interviews, terminations and refusals, and contacts with eligible households by state and territory.

  • Tables 5A and 5B provide information on the number and percentage of landline telephone and cellular telephone sample numbers that are eligible, ineligible, and of unknown eligibility.

  • Table 6 provides response rates for landline telephone samples, cellular telephone samples, and combined samples.



Table 4A

Completions, Terminations and Refusals, Contacted Eligible Households

and Total Sample by State (Landline Sample)


COIN1

TERE1

CONELIG1


State

N

%

N

%

N

%

Total Landline Sample

AL

5,034

3.9

4,300

3.3

11,359

8.8

128,697

AK

3,453

3.0

1,554

1.4

5,906

5.2

113,850

AZ

2,730

5.0

1,303

2.4

4,573

8.4

54,240

AR

4,033

5.1

2,133

2.7

7,149

9.0

79,650

CA

6,634

2.9

2,486

1.1

12,954

5.7

225,697

CO

9,847

8.9

1,710

1.5

13,259

12.0

110,550

CT

5,874

5.3

2,692

2.4

10,025

9.1

110,250

DE

3,978

5.4

1,717

2.3

6,818

9.2

73,920

DC

4,029

2.7

2,195

1.5

7,200

4.9

148,320

FL

27,763

4.5

14,013

2.3

48,639

7.9

614,630

GA

5,716

3.7

1,386

0.9

9,089

5.9

153,630

HI

4,207

5.3

1,271

1.6

7,389

9.3

79,830

ID

4,096

5.3

1,622

2.1

6,553

8.5

77,250

IL

4,067

5.9

1,246

1.8

6,239

9.1

68,580

IN

7,730

5.3

3,492

2.4

12,814

8.9

144,750

IA

6,129

6.7

2,471

2.7

9,944

10.9

91,350

KS

16,031

7.6

5,396

2.5

23,419

11.0

212,130

KY

8,550

5.2

2,352

1.4

11,689

7.1

163,620

LA

4,539

4.4

1,825

1.8

7,082

6.9

103,158

ME

6,494

8.2

1,780

2.2

9,263

11.7

79,410

MD

11,147

7.0

2,099

1.3

15,959

10.1

158,400

MA

12,160

4.4

4,234

1.5

21,023

7.7

274,290

MI

8,762

5.2

2,740

1.6

13,912

8.2

169,020

MN

10,551

6.4

1,920

1.2

14,989

9.0

165,900

MS

5,465

5.9

2,300

2.5

9,047

9.8

92,580

MO

5,332

12.5

1,499

3.5

8,013

18.7

42,763

Table 4A

Completions, Terminations and Refusals, Contacted Eligible Households

and Total Sample by State (Landline Sample)


COIN1

TERE1

CONELIG1


State

N

%

N

%

N

%

Total Landline Sample

MT

6,763

6.5

2,012

1.9

10,060

9.7

103,412

NE

12,973

8.5

3,966

2.6

19,249

12.6

153,300

NV

3,438

6.3

1,042

1.9

5,098

9.3

54,899

NH

4,954

7.7

1,810

2.8

7,670

11.9

64,530

NJ

9,933

5.3

2,914

1.5

16,296

8.6

188,490

NM

5,668

6.8

2,337

2.8

9,223

11.1

83,370

NY

5,517

3.8

3,230

2.2

10,837

7.5

143,730

NC

6,667

7.6

2,809

3.2

10,813

12.3

87,779

ND

5,640

6.1

1,575

1.7

8,217

8.9

92,430

OH

8,843

5.5

1,989

1.2

13,537

8.4

160,260

OK

5,830

8.1

2,087

2.9

9,392

13.0

72,338

OR

4,078

6.1

1,888

2.8

6,111

9.1

67,257

PA

8,583

5.6

3,968

2.6

14,462

9.4

154,507

RI

5,123

7.3

2,481

3.5

8,993

12.8

70,200

SC

7,768

8.2

2,120

2.2

11,775

12.4

95,070

SD

4,480

5.5

1,025

1.3

6,303

7.7

81,720

TN

4,193

4.4

1,600

1.7

6,175

6.4

95,910

TX

7,235

5.2

2,527

1.8

11,480

8.3

137,940

UT

8,239

6.9

2,443

2.0

12,742

10.7

119,520

VT

5,069

9.3

1,341

2.5

7,163

13.1

54,630

VA

6,022

5.2

1,321

1.1

9,234

7.9

116,190

WA

8,396

5.2

4,758

2.9

15,524

9.6

162,240

WV

4,319

15.5

1,003

3.6

5,918

21.2

27,900

WI

4,623

7.0

2,001

3.0

7,301

11.0

66,240

WY

5,272

4.4

2,148

1.8

8,320

7.0

118,710

GU

1,461

5.8

443

1.8

2,847

11.3

25,110

PR

3,545

6.8

431

0.8

5,002

9.6

51,841

Minimum

1,461

2.7

431

0.8

2,847

4.9

25,110

Maximum

27,763

15.5

14,013

3.6

48,639

21.2

614,630

Mean

6,773

6.2

2,434

2.1

10,831

9.7

120,490

Median

5,668

5.6

2,087

2.1

9,234

9.1

103,158

1These abbreviations refer to the formulae for calculations of calling outcomes and rates presented in Table 3.



Table 4B

Completions, Terminations and Refusals, Contacted Eligible Households

and Total Sample by State (Cell Phone Sample)


COIN1

TERE1

CONELIG1


State

N

%

N

%

N

%

Total Cell Phone Sample

AL

1,372

4.1

778

2.3

2,285

6.9

33,299

AK

1,122

4.4

239

0.9

1,450

5.7

25,350

AZ

1,299

4.6

459

1.6

1,942

6.9

27,960

AR

1,195

6.8

376

2.2

1,851

10.6

17,460

CA

4,482

5.6

1,012

1.3

6,575

8.2

80,369

CO

3,786

10.8

465

1.3

4,681

13.4

34,996

CT

2,009

3.3

722

1.2

3,039

5.0

61,110

DE

1,365

5.3

241

0.9

1,929

7.5

25,740

DC

808

1.8

296

0.7

1,220

2.8

43,740

FL

6,212

5.1

3,113

2.5

9,559

7.8

122,578

GA

2,291

5.2

404

0.9

3,287

7.4

44,430

HI

4,080

9.3

1,150

2.6

5,796

13.2

44,009

ID

1,500

14.0

372

3.5

1,949

18.1

10,740

IL

1,379

6.4

282

1.3

1,753

8.2

21,458

IN

2,600

8.0

735

2.3

3,473

10.7

32,610

IA

2,012

9.2

333

1.5

2,578

11.8

21,899

KS

7,620

6.7

1,816

1.6

9,813

8.6

113,670

KY

2,567

4.7

413

0.8

3,052

5.6

54,450

LA

621

4.9

144

1.1

788

6.3

12,571

ME

1,670

7.5

373

1.7

2,118

9.6

22,138

MD

1,859

4.3

316

0.7

2,626

6.0

43,530

MA

3,022

4.3

549

0.8

4,493

6.4

70,500

MI

4,192

6.2

1,429

2.1

6,858

10.2

67,380

MN

5,150

8.4

504

0.8

6,376

10.4

61,050

MS

2,018

9.1

344

1.5

2,429

10.9

22,260

MO

1,598

8.6

261

1.4

2,084

11.2

18,633

MT

3,063

6.2

593

1.2

3,916

8.0

49,234

NE

4,396

10.5

1,007

2.4

6,127

14.6

42,060


Table 4B

Completions, Terminations and Refusals, Contacted Eligible Households

and Total Sample by State (Cell Phone Sample)


COIN1

TERE1

CONELIG1


State

N

%

N

%

N

%

Total Sample

NV

1,667

8.0

216

1.0

1,929

9.3

20,820

NH

1,637

4.6

424

1.2

2,242

6.3

35,580

NJ

3,685

4.5

836

1.0

5,746

7.0

82,350

NM

3,881

9.7

873

2.2

4,980

12.5

39,900

NY

2,549

4.9

1,214

2.3

4,099

7.9

51,748

NC

1,951

7.4

623

2.4

2,788

10.6

26,393

ND

2,453

5.0

609

1.2

3,204

6.6

48,809

OH

3,106

4.7

495

0.7

4,385

6.6

66,240

OK

2,420

6.6

806

2.2

3,751

10.3

36,567

OR

1,781

5.7

386

1.2

2,442

7.8

31,138

PA

2,768

5.1

923

1.7

3,908

7.3

53,760

RI

1,521

4.2

596

1.6

2,377

6.6

36,150

SC

3,012

7.7

648

1.7

3,952

10.2

38,880

SD

2,534

5.9

414

1.0

3,127

7.3

43,004

TN

1,503

4.4

244

0.7

1,756

5.2

33,978

TX

3,141

7.4

1,140

2.7

4,516

10.6

42,450

UT

4,760

11.5

1,384

3.3

6,521

15.7

41,520

VT

1,277

4.6

304

1.1

1,691

6.2

27,480

VA

2,338

5.4

313

0.7

3,257

7.6

42,930

WA

2,608

4.1

1,799

2.8

5,673

8.8

64,260

WV

1,667

8.8

382

2.0

2,185

11.6

18,869

WI

1,990

8.3

460

1.9

2,618

10.9

23,970

WY

1,220

4.3

226

0.8

1,535

5.5

28,140

GU

445

3.5

179

1.4

736

5.7

12,805

PR

2,490

17.5

314

2.2

3,261

22.9

14,226

Minimum

445

1.8

144

0.7

736

2.8

10,740

Maximum

7,620

17.5

3,113

3.5

9,813

22.9

122,578

Mean

2,522

6.6

652

1.6

3,523

9.0

41,268

Median

2,291

5.7

460

1.4

3,052

8.0

36,567

1These abbreviations refer to the formulae for calculations of calling outcomes and rates presented in Table 3.


Table 5A

Categories of Eligibility by State (Landline Sample)


ELIG1

INELIG1

UNKELIG1

State

N

%

N

%

N

%

AL

15,462

12.0

95,112

73.9

18,123

14.1

AK

6,349

5.6

97,641

85.8

9,860

8.7

AZ

5,290

9.8

40,291

74.3

8,659

16.0

AR

8,096

10.2

61,141

76.8

10,413

13.1

CA

13,965

6.2

170,941

75.7

40,791

18.1

CO

13,918

12.6

82,929

75.0

13,703

12.4

CT

11,499

10.4

77,679

70.5

21,072

19.1

DE

6,989

9.5

48,109

65.1

18,822

25.5

DC

8,989

6.1

113,672

76.6

25,659

17.3

FL

62,598

10.2

451,002

73.4

101,030

16.4

GA

9,330

6.1

114,981

74.8

29,319

19.1

HI

8,347

10.5

59,957

75.1

11,526

14.4

ID

7,217

9.3

61,807

80.0

8,226

10.6

IL

6,841

10.0

51,792

75.5

9,947

14.5

IN

15,194

10.5

109,748

75.8

19,808

13.7

IA

10,392

11.4

71,046

77.8

9,912

10.9

KS

24,773

11.7

162,626

76.7

24,731

11.7

KY

12,268

7.5

126,201

77.1

25,151

15.4

LA

9,676

9.4

78,949

76.5

14,533

14.1

ME

9,953

12.5

58,155

73.2

11,302

14.2

MD

16,596

10.5

106,473

67.2

35,331

22.3

MA

21,182

7.7

182,384

66.5

70,724

25.8

MI

15,578

9.2

129,304

76.5

24,138

14.3

MN

15,075

9.1

126,741

76.4

24,084

14.5

MS

11,563

12.5

71,226

76.9

9,791

10.6

MO

8,453

19.8

25,410

59.4

8,900

20.8

MT

10,730

10.4

82,051

79.3

10,631

10.3

NE

21,916

14.3

119,617

78.0

11,767

7.7

NV

6,019

11.0

38,662

70.4

10,218

18.6


Table 5A

Categories of Eligibility by State (Landline Sample)


ELIG1

INELIG1

UNKELIG1

NH

9,511

14.7

44,193

68.5

10,826

16.8

NJ

16,484

8.7

128,951

68.4

43,055

22.8

NM

9,626

11.5

64,758

77.7

8,986

10.8

NY

13,705

9.5

102,462

71.3

27,563

19.2

NC

14,371

16.4

62,428

71.1

10,980

12.5

ND

8,711

9.4

76,690

83.0

7,029

7.6

OH

13,646

8.5

120,267

75.0

26,347

16.4

OK

9,667

13.4

53,739

74.3

8,932

12.3

OR

8,498

12.6

45,280

67.3

13,479

20.0

PA

17,537

11.4

108,368

70.1

28,602

18.5

RI

10,939

15.6

42,624

60.7

16,637

23.7

SC

13,017

13.7

69,690

73.3

12,363

13.0

SD

7,104

8.7

68,950

84.4

5,666

6.9

TN

6,832

7.1

71,470

74.5

17,608

18.4

TX

17,310

12.5

102,478

74.3

18,152

13.2

UT

13,633

11.4

92,771

77.6

13,116

11.0

VT

8,142

14.9

38,490

70.5

7,998

14.6

VA

9,313

8.0

80,800

69.5

26,077

22.4

WA

20,170

12.4

119,675

73.8

22,395

13.8

WV

6,279

22.5

16,956

60.8

4,665

16.7

WI

7,904

11.9

49,618

74.9

8,718

13.2

WY

10,264

8.6

92,142

77.6

16,304

13.7

GU

2,922

11.6

20,397

81.2

1,791

7.1

PR

5,044

9.7

41,925

80.9

4,872

9.4

Minimum

2,922

5.6

16,956

59.4

1,791

6.9

Maximum

62,598

22.5

451,002

85.8

101,030

25.8

Mean

12,356

11.0

89,260

74.0

18,874

15.1

Median

10,264

10.5

77,679

74.9

13,479

14.3

1These abbreviations refer to the formulae for calculations of calling outcomes and rates presented in Table 3.


Table 5B

Categories of Eligibility by State (Cell Phone Sample)


ELIG1

INELIG1

UNKELIG1

State

N

%

N

%

N

%

AL

2,285

6.9

15,917

47.8

15,097

45.3

AK

1,450

5.7

19,060

75.2

4,840

19.1

AZ

1,942

6.9

11,486

41.1

14,532

52.0

AR

1,851

10.6

9,135

52.3

6,474

37.1

CA

6,575

8.2

39,746

49.5

34,048

42.4

CO

4,681

13.4

14,983

42.8

15,332

43.8

CT

3,039

5.0

19,244

31.5

38,827

63.5

DE

1,929

7.5

10,286

40.0

13,525

52.5

DC

1,220

2.8

20,653

47.2

21,867

50.0

FL

9,559

7.8

38,792

31.6

74,227

60.6

GA

3,287

7.4

19,444

43.8

21,699

48.8

HI

5,796

13.2

15,946

36.2

22,267

50.6

ID

1,949

18.1

4,649

43.3

4,142

38.6

IL

1,753

8.2

8,948

41.7

10,757

50.1

IN

3,473

10.7

14,676

45.0

14,461

44.3

IA

2,578

11.8

11,360

51.9

7,961

36.4

KS

9,813

8.6

59,902

52.7

43,955

38.7

KY

3,052

5.6

26,635

48.9

24,763

45.5

LA

788

6.3

6,343

50.5

5,440

43.3

ME

2,118

9.6

10,277

46.4

9,743

44.0

MD

2,626

6.0

17,623

40.5

23,281

53.5

MA

4,493

6.4

26,388

37.4

39,619

56.2

MI

6,858

10.2

30,149

44.7

30,373

45.1

MN

6,376

10.4

23,247

38.1

31,427

51.5

MS

2,429

10.9

11,113

49.9

8,718

39.2

MO

2,084

11.2

7,233

38.8

9,316

50.0

MT

3,916

8.0

32,941

66.9

12,377

25.1

NE

6,127

14.6

22,692

54.0

13,241

31.5

NV

1,929

9.3

6,812

32.7

12,079

58.0

Table 5B

Categories of Eligibility by State (Cell Phone Sample)


ELIG1

INELIG1

UNKELIG1

NH

2,242

6.3

14,194

39.9

19,144

53.8

NJ

5,746

7.0

32,478

39.4

44,126

53.6

NM

4,980

12.5

21,620

54.2

13,300

33.3

NY

4,099

7.9

21,368

41.3

26,281

50.8

NC

2,788

10.6

10,980

41.6

12,625

47.8

ND

3,204

6.6

33,755

69.2

11,850

24.3

OH

4,385

6.6

27,112

40.9

34,743

52.5

OK

3,751

10.3

21,523

58.9

11,293

30.9

OR

2,442

7.8

6,679

21.4

22,017

70.7

PA

3,908

7.3

22,975

42.7

26,877

50.0

RI

2,377

6.6

12,536

34.7

21,237

58.7

SC

3,952

10.2

14,170

36.4

20,758

53.4

SD

3,127

7.3

24,786

57.6

15,091

35.1

TN

1,756

5.2

11,699

34.4

20,523

60.4

TX

4,516

10.6

20,400

48.1

17,534

41.3

UT

6,521

15.7

14,250

34.3

20,749

50.0

VT

1,691

6.2

12,067

43.9

13,722

49.9

VA

3,257

7.6

16,484

38.4

23,189

54.0

WA

5,673

8.8

21,087

32.8

37,500

58.4

WV

2,185

11.6

5,304

28.1

11,380

60.3

WI

2,618

10.9

12,589

52.5

8,763

36.6

WY

1,535

5.5

18,815

66.9

7,790

27.7

GU

736

5.7

9,327

72.8

2,742

21.4

PR

3,261

22.9

5,708

40.1

5,257

37.0

Minimum

736

2.8

4,649

21.4

2,742

19.1

Maximum

9,813

22.9

59,902

75.2

74,227

70.7

Mean

3,523

9.0

18,256

45.2

19,488

45.8

Median

3,052

8.0

15,946

42.8

15,097

48.8

1These abbreviations refer to the formulae for calculations of calling outcomes and rates presented in Table 3.


Table 6

Response Rates for Landline and Cell Phone Samples

State

Landline Response Rate

Cell Phone Response Rate

Combined Response Rate

AL

28.0

32.8

29.0

AK

49.7

62.6

52.0

AZ

43.4

32.1

39.5

AR

43.3

40.6

42.8

CA

38.9

39.3

39.0

CO

62.0

45.4

58.0

CT

41.3

24.1

35.2

DE

42.4

33.6

40.1

DC

37.1

33.1

36.2

FL

37.1

25.6

35.2

GA

49.6

35.7

46.5

HI

43.1

34.8

40.2

ID

50.7

47.3

50.3

IL

50.8

39.2

48.1

IN

43.9

41.7

43.5

IA

52.6

49.7

52.0

KS

57.2

47.6

53.8

KY

59.0

45.9

55.7

LA

40.3

44.7

40.8

ME

56.0

44.1

53.4

MD

52.2

32.9

48.0

MA

42.6

29.5

39.9

MI

48.2

33.6

44.0

MN

59.8

39.2

54.3

MS

42.3

50.5

43.9

MO

50.0

38.3

46.4

MT

56.5

58.6

57.2

NE

54.7

49.2

53.5

NV

46.5

36.3

43.7

NH

43.3

33.7

39.9

NJ

46.5

29.8

41.4

NM

52.5

52.0

52.3

NY

32.5

30.6

32.0

NC

40.6

36.5

39.6

ND

59.8

58.0

59.2

OH

54.1

33.7

48.2

OK

52.9

44.6

50.1

OR

38.4

21.4

33.0

PA

39.9

35.4

38.7

RI

35.7

26.4

32.6

SC

51.9

35.5

47.2

SD

58.7

52.6

56.6

TN

50.1

33.9

45.9

TX

36.3

40.8

37.4

UT

53.8

36.5

49.3

VT

53.1

37.8

48.0

VA

50.1

33.0

45.5

WA

35.9

19.1

31.1

WV

57.3

30.3

46.4

WI

50.8

48.2

50.1

WY

44.3

57.5

46.8

GU

46.4

47.5

46.8

PR

63.7

48.1

60.3

Minimum

28.0

19.1

29.0

Maximum

63.7

62.6

60.3

Mean

47.7

39.5

45.3

Median

49.6

37.8

46.4


References


1. Methodologic changes in the Behavioral Risk Factor Surveillance System in 2011 and potential effects on prevalence estimates. MMWR Weekly June 8, 2012 / 61(22); 410-3. Available at: http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6122a3.htm.


2. The American Association for Public Opinion Research. 2011. Standard Definitions: Final dispositions of case codes and outcome rates for surveys. 7th edition.
http://www.aapor.org/AM/Template.cfm?Section=Standard_Definitions2&Template=/CM/ContentDisplay.cfm&ContentID=3156


3. The Council of American Survey Research Organizations. 2013. Code of standards and ethics for market, opinion, and social research http://c.ymcdn.com/sites/ www.casro.org/resource/resmgr/code/september_2013_revised_code.pdf?hhSearchTerms=%22casro+and+response+and+rate%22.


4. The Pew Research Center for People and the Press. 2012. Assessing the representativeness of public opinion surveys. http://www.people-press.org/files/legacy-pdf/Assessing%20the%20Representativeness%20of%20Public%20Opinion%20Surveys.pdf.


5. Groves, RM. Nonresponse rates and nonresponse bias in household surveys. Public Opinion Quarterly 70(5): Special Issue 2006, 646–75.




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