SSB revised 12-07

Supporting Statement B For:

Health Information National Trends Survey
(HINTS) 2007 (NCI)

December 1, 2007
(Revised from earlier submission)

Bradford Hesse, Ph.D., HINTS Project Officer
Chief, Health Communication and Informatics Research Branch
National Cancer Institute
Executive Plaza North, Room 4068
6130 Executive Blvd.
Bethesda, MD 20892
Telephone: 301-594-9904
Fax: 301-480-2198
E-mail: [email protected]

i

Table of Contents
B.

Collections of information employing statistical methods ...........................1

B.1

Respondent Universe and Sampling Methods .............................................1

B.2.

Procedures for the Collection of Information ..............................................2

B.3

B.2.1

Statistical Methodology for Stratification and Sample Selection....2
B.2.1.1 RDD sample .................................................................2
B.2.1.2 Address Sample ............................................................2

B.2.2
B.2.3
B.2.4
B.2.5
B.2.6
B.2.7
B.2.8
B.2.9
B.2.10

Problems Requiring Special Sampling Procedures ........................3
Periodic Data Collection to Reduce Burden...................................3
RDD Interviewer Training and Monitoring ...................................3
RDD Screening Procedure ............................................................4
RDD Extended-Interview Procedure .............................................4
Address-Sample Data Collection Procedures.................................4
Tracking Respondents...................................................................5
Spanish Interviews ........................................................................5
Estimation.....................................................................................5

Methods to Maximize Response Rates and Deal with Non-response ...........6
B.3.1
B.3.2
B.3.3

B.4

Test of Procedures or Methods to be Undertaken ........................................9
B.4.1
B.4.2
B.4.3

B.5

Maximizing Response Rates—RDD .............................................7
Maximizing Response Rates—Mail ..............................................8
Addressing Nonresponse ...............................................................9

Pilot Mail Survey ..........................................................................9
Pilot Advance Materials ................................................................9
Field Experiments ....................................................................... 10

Individuals Consulted on Statistical Aspects and Individuals Collecting
and/or Analyzing Data .............................................................................. 10

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LIST OF APPENDICES

Appendix A:

Research Questions for Field Experiments

Appendix B:

Audiences for Data and Results

Appendix C:

Major Sources Reviewed During the Development of the HINTS 2007
Instruments

Appendix D:

HINTS 2007 External Consultants

Appendix E:

Letters for the Telephone Sample

Appendix F:

Letters for the Mail Sample

Appendix G:

Westat Confidentiality Agreement

Appendix H:

IRB Exemption Memo

Appendix I:

Screener Instrument

Appendix J:

Extended Instrument

Appendix K:

Theoretical Framework

Appendix L:

HINTS 2007 Sample Design

Appendix M:

Analyses of Response Rates

Appendix N:

Estimating Mode Effects

Appendix O:

Individuals Consulted on Statistical Aspects

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B.

COLLECTION OF INFORMATION EMPLOYING STATISTICAL METHODS

B.1

Respondent Universe and Sampling Methods

The HINTS target population is all adults aged 18 or older in the civilian noninstitutionalized population
of the United States. The sample design for HINTS 2007 consists of two samples with each sample being
selected from a separate sampling frame. One sample will be a list-assisted random digit dial (RDD)
sample selected from all telephone exchanges in the United States, following the design of HINTS 2003
and HINTS 2005. This will result in a nationally representative sample of telephone households. The
second sample is new and comprises addresses selected from a list based on U.S. Postal Service (USPS)
administrative records. Questionnaires will be mailed to the address sample, and telephone interviewers
will follow up with mail nonrespondents. Appendix L discusses in detail the HINTS 2007 sample design.
For the RDD sample, an unstratified sample of 59,020 telephone numbers will be selected, with an
expected yield of 3,500 completed interviews. A reserve sample of 29,510 telephone numbers will also be
sampled and set aside to be used in case expectations are not met. During the administration of the RDD
household screener, one adult will be sampled within each household and recruited for the extended
interview. Refusals to the screener will be subsampled for refusal conversion. The expected overall
response rate for the HINTS 2007 RDD sample is 21 percent. Section B.3 discusses the RDD response
rates in previous HINTS cycles.
For the address sample, a stratified sample with total sample size of 6,944 addresses will be selected from
two strata: one containing a high concentration of minority adults and the other containing a low
concentration. The high-minority stratum will be oversampled by 50 percent to increase the yield of
blacks and Hispanics. All adults in the household will be asked to complete a survey. Households that do
not return one or more completed questionnaires will be assigned to telephone followup. The expected
overall response rate for the address sample, including telephone followup, is 26 percent. The sample
design will yield approximately 7,457 completed interviews: 3,500 from the RDD sample and 3,957 from
the address sample. The expected survey-level response rate, including both RDD responses and addresssample responses, is 7,457/(3,500/0.21 + 3,957/0.26) = 23 percent.
Section L.3 of Appendix L describes how data collected from both the RDD sample and the address
sample will be used to calculate composite estimates. Our goal is to be able to generate 95-percent
confidence intervals for composite estimates of proportions that are no wider than ±4 percentage points,
for the domain of all adults and for the domains of Hispanic adults and black adults. Table L-3 of
Appendix L presents Current Population Survey (March 2005 supplement) estimates of adults within the
domains of interest, with the expected number of completed questionnaires from the RDD sample. Table
M-5 presents the expected the number of completed questionnaires from the address sample.

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B.2

Procedures for the Collection of Information

This section describes the data collection procedures to be used in HINTS 2007. The discussion includes
stratification, sample selection, RDD-interviewer training and monitoring, RDD screening and extendedinterview procedures, address-sample data collection procedures, and estimation.
B.2.1

Statistical Methodology for Stratification and Sample Selection

B.2.1.1

RDD sample

The list-assisted RDD method is a random sample of telephone numbers from all working banks in U.S.
telephone exchanges (Tucker, Casady, and Lepkowski, 1993). A working bank is a set of 100 telephone
numbers (e.g., telephone numbers with area code 301 and first five digits 294-44) with at least one listed
residential number.1 The list-assisted method has been used in most RDD surveys in recent years. The
within-household sample involves asking the respondent how many adults are in the household,
identifying the adults in a nonintrusive way and then sampling one adult. HINTS 2007 will use the same
approach for sampling one adult (18+) per eligible household that was developed for HINTS 2003 (Rizzo,
Brick, and Park, 2004) and also used for HINTS 2005. Use of this screening methodology minimizes the
number of screener questions that are asked of a respondent and also minimizes the intrusiveness of the
questions for the majority of households, while still accomplishing a valid probability sample.
The RDD sample will involve two types of subsampling. First, 13.2 percent of the nonmailable numbers
(numbers for which no address information can be obtained) will be deselected. These numbers will not
be assigned to initial screening. The second type of subsampling is that 49.7 percent of the initial screener
refusals and noncontacts (numbers for which there is human contact with nonhostile refusal or noncontact
at the first round of screening calls) will be deselected. The first type of subsampling was conducted for
HINTS 2005 but the second type of subsampling was not. Appendix L discusses these two types of
subsampling in detail.
B.2.1.2

Address Sample

The sampling frame for the address sample will be a database of addresses used by Marketing Systems
Group (MSG). Our decision to use this database as a sampling frame is the result of an evaluation study
conducted by Link and colleagues (2005). The sampling unit will be an individual address. Following the
selection of the address sample, the AUTOMATCH computer program will be used to compare the
address sample with the addresses of telephone numbers assigned to the mailable stratum of the RDD
sample. Addresses in both the address sample and the RDD sample will not be contacted by RDD
telephone interviewers. (Telephone numbers assigned to the nonmailable stratum will not have addresses,
1

All numbers are part of the sampling frame, whether listed as residential or not, as long as they are in working banks.

2

so they cannot be tested for membership in the address sample.) Envelopes containing mailed
questionnaires will be marked “Do Not Forward” so that address changes will not provide multiple
opportunities for a household to be selected for the address sample.
Two strata will be used to sample the addresses—one with a high concentration of minority adults and the
other with a low concentration. Appendix L provides additional details about strata construction and how
the address sample will be allocated to the two strata. Unlike the RDD sample, all adults in the household
at a sampled address will be asked to complete a questionnaire. Hence, the mail sample is a stratified
cluster sample, in which the household is the cluster. Our decision to not subsample the adults in sampled
households is the result of an evaluation study conducted by Battaglia and colleagues (2005).
B.2.2

Problems Requiring Special Sampling Procedures

No unusual problems requiring special sampling procedures have been identified.
B.2.3

Periodic Data Collection to Reduce Burden

The National Cancer Institute (NCI) has elected to conduct HINTS biennially, rather than annually, to
reduce costs and respondent burden.
B.2.4

RDD Interviewer Training and Monitoring

If possible, interviewers will be selected from Westat’s current pool of interviewers; however, additional
interviewers may be hired as needed. Any new hires will participate in Westat’s general interviewer
training and basic computer-assisted telephone interview (CATI) training. All interviewers will be
required to successfully complete Westat Telephone Research Center’s (TRC’s) new automated contact
procedures module, which trains and tests interviewers on contact procedures and coding. Experienced
interviewers usually complete this program very quickly, leaving more time to focus on project-specific
issues. The remainder of training will focus on information specific to HINTS 2007. Training will include
modeling interviews and role plays. Westat staff will carefully monitor the performance of all
interviewers before allowing them to begin interviews with sample persons and will provide additional
training as needed. We estimate that HINTS 2007 training will require approximately 12 hours.
During the pilot of the mail and RDD survey and the first few weeks of the field period, TRC team
leaders and other project staff will focus on monitoring activities of interviewers to identify any problems
or a need for retraining. Team leaders will also evaluate the interviewers in terms of their refusal
avoidance abilities. Informal meetings of interviewers and team leaders will be held to discuss reasons for
nonresponse and to disseminate the nonresponse conversion or avoidance strategies that have been most
successful in converting HINTS refusals. Interviewers who are most successful in nonresponse
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conversion will be assigned to a special team that will focus primarily on refusal conversion work. In
addition, a percentage of live interviews will be monitored during the field period in accordance with
Westat’s standard operating procedures to provide interviewers with feedback on their performance and
to provide additional training as necessary.
B.2.5

RDD Screening Procedure

The RDD sample will be address-matched using the commercial services of Telematch and Acxiom so
that advance letters (see Appendix F) can be sent to potential respondents. A prepaid incentive of $2 will
be included with this letter, as indicated from the results of the HINTS 2003 experiment, as well as other
research conducted by Westat (Cantor, et al., 2003). It is anticipated that between 45 percent to 60 percent
of the sampled telephone numbers will have an address match.
All screeners will be administered over the telephone using CATI. The objectives of the screening
interview are to find residential households and to select eligible persons for the extended interview. The
screener asks the respondent how many adults live in the household, identifies the adults in a nonintrusive
way (i.e., avoids asking for names), and then samples one adult. The screening method minimizes the
number and intrusiveness of screener questions required to sample a member of the household. Some
RDD households will not be reached for screening and others will refuse to participate. We will send a
refusal conversion letter (see Appendix F) to the households among this group for which we have
addresses. This letter will explain the purpose of the study and the importance of their participation.
B.2.6

RDD Extended-Interview Procedure

The majority of the content required to answer the research questions for HINTS 2007 is contained in the
extended interview. For the RDD sample, after a respondent is selected from the household, he or she will
be asked to complete this portion of the interview. Some sampled persons selected during the screener
will not be reached to complete the extended interview, and others will refuse to participate. Two weeks
after initial contact, refusal conversion letters will be sent to people for whom we have address matches
(see Appendix F). This letter will explain the purpose of the study and the importance of their
participation. Also included in this letter will be a $5 incentive to complete the survey. Then, an
interviewer will follow up with a telephone call to attempt to do the interview. If this is not successful, a
followup will be attempted 2 weeks later.
B.2.7

Address-Sample Data Collection Procedures

The address sample will be sent advance letters explaining the study (see Appendix F). One week after
the advance letter is sent, the household will be mailed a packet containing the instruments. The advance
letter will be short and concise.
4

Within 1 week of the advance letter, each sampled household will receive a packet of four identical
questionnaires with a request that a questionnaire be completed by each adult member of the household.
Letters and mailing labels will be computer-generated from a file containing identifying information.
Identification labels (ID numbers) will contain a household identifier and an individual survey identifier.
All mailed material will be marked “Do Not Forward.” If no completed questionnaires have been received
from a household within 2 weeks of the mailing of the instruments, a reminder postcard will be sent to the
household. If no completed questionnaires have been received from a household within 2 weeks of the
mailing of the reminder postcard, replacement questionnaires will be mailed to the nonresponding
questionnaire. Households that have not responded within 2 weeks of the second mailing of the
instrument and for which we have a telephone number will be contacted by telephone to complete the
CATI instrument. Procedures for selecting a household member to complete the CATI extended interview
will be identical to those employed in the RDD section of the study.
B.2.8

Tracking Respondents

A series of production and management reports will be generated daily and weekly during the field
period. These reports provide information on response rates, cooperation rates, production to date in terms
of total interviews, and problems encountered during the course of data collection. The results of these
reports will be reported weekly to the Project Officer, as well as in the monthly project progress report.
NCI will be provided both hard-copy and electronic copies of all reports. Additional reports will be
provided as requested by NCI.
B.2.9

Spanish Interviews

A Spanish version of the RDD instrument will be developed. RDD participants requesting telephone
interviews in Spanish will be connected to a Spanish interviewer and administered the appropriate
instrument.
A Spanish version of the mail survey will not be developed. The introductory letter sent before initial
mailing and the refusal-conversion letter in the followup mailing will contain a sentence written in
Spanish stating that if the selected household would like the instrument administered in Spanish they
should call a 1-800 telephone number that will connect them to the Westat TRC. Households requesting a
Spanish interview will follow the RDD protocol, where only one adult will be sampled and interviewed.
B.2.10

Estimation

Composite estimation will be used to calculate estimates of means, proportions, and totals based on the
HINTS data collected from both the RDD sample and the address sample. Section L.3 of Appendix L
provides additional detail about the calculation of composite estimates and associated composite sampling
5

weights. Replicate weights for composite estimates will be produced that will allow for the computation
of consistent variance estimators. These weights are based on the jackknife method, in which the sampled
telephone numbers and addresses are assigned to groups based on the HINTS sample design, with each
replicate weight corresponding to the dropping of one group. Nonresponse and poststratification
adjustments will be replicated so that the jackknife variance estimator correctly accounts for these
adjustments. Stratification information necessary to compute linearization variance estimates will also be
available using software packages such as SUDAAN.
Our goal is to be able to generate 95-percent confidence intervals for composite estimates of proportions
that are no wider than ±4 percentage points, for the domain of all adults and for the domains of Hispanic
adults and black adults. Table L-7 of Appendix L presents maximum standard errors and the associated
half-widths of 95-percent confidence intervals for composite estimates of proportions in the race/ethnicity
domains of interest. As can be seen, the standard errors are in the range 0.82 percent to 1.90 percent,
giving 95-percent confidence intervals with half-widths in the range 1.61 percent to 3.72 percent, as
desired.
B.3

Methods to Maximize Response Rates and Address Nonresponse

This design recognizes the increasing difficulty with response rates, coverage and expense of RDD
surveys. Response rates for RDD surveys have been declining for a number of years and there is no sign
that this decline has stopped (e.g., Battaglia, et. al., 2005; Curtin, et al., 2005). In addition, the increasing
penetration of mobile telephones is deteriorating the RDD sample frame and even making it more
difficult to contact those with a landline telephone. This is especially true for younger respondents (Brick,
et al., 2004). Previous administrations of HINTS reflect this trend. In 2003, the combined response rate
was approximately 33 percent. This rate dropped to 20 percent in 2005. The primary reason for the drop
was a 20-percentage point drop in the screening response rate (55% to 34%). The response rate for the
extended interview remained stable at 60 percent across the two surveys.2
To compensate for nonresponse and coverage, both HINTS 2003 and 2005 have been adjusted for
nonresponse and have been poststratified to national totals for age, gender, race/ethnicity, and education.
When comparing the final HINTS estimates for health-related variables to the National Health Interview
Survey, it is apparent that HINTS respondents report being less healthy, as indicated by higher rates of
reported cancer, people rating themselves as not being in good health, and having more psychological
and/or emotional issues (e.g., nervousness, hopeless, sad, restless).

2

In 2003, the screener response rate was 55 percent and the extended response rate was 60 percent, resulting in a final response rate of 33 percent
(.55 x .60). In 2005, the screener response rate was 34 percent and the extended response rate was 60 percent, resulting in a final response rate
of 20 percent (.34 x .60).

6

In reaction to the above trend, HINTS 2007 has made two changes to its design. One change is the use of
a dual-frame, dual-mode approach. In addition to the RDD survey, a mail survey will be conducted using
the USPS sampling frame (see discussion in previous section). The intent is to directly address the
increasing migration of landline telephone to mobile-only telephone households in a cost-effective
manner. The poststratification factors for HINTS 2005 indicated a substantial shortfall for young people
age 18 to 35. The use of a mail survey is seen as a way to address this segment of the population.
Recent research by Link and colleagues (2004; 2005, 2006) suggests that use of a mail survey, with
appropriate followup, can achieve a higher response rate than RDD alone. This design has a number of
advantages. One is that using two modes in sequence (mail and telephone) there is the potential for
improving response rates over a design that exclusively relies on RDD. If the mail survey is substantially
less expensive than the RDD, then future HINTS surveys can develop designs that optimally mix the
different modes to maximize data quality within the HINTS cost constraints. The use of the USPS frame
allows coverage of mobile-only telephone users, and those without a telephone. There is also the
possibility of improved measurement for a number of characteristics (e.g., those subject to social
desirability bias). Moving to an address-based frame also leaves open the opportunity to implement other
modes if they are found to be appropriate (e.g., in-person; web).
The second change in design is to introduce several new methods to maximize the response rate for the
RDD telephone survey. Among these methods is to assess the messages that HINTS has been using over
the previous two administrations. One theme that has emerged from focus groups that have been
conducted is that previous emphases on cancer-specific messages in letters and introductions may be one
reason why young people, as well as more healthy people, are less likely to participate on the survey. As
will be discussed below, Westat will use this qualitative research to refine the HINTS advance materials
and introductions to appeal to a wider sector of the general population.
B.3.1

Maximizing Response Rates—RDD

Nonresponse can occur at either the initial screening attempt or the subsequent interview attempt with a
subsampled member of the household. Steps to minimize nonresponse are built into the study protocol.
These steps include:


Household Advance Letters with a $2 Incentive. Advance materials with an incentive will be
sent to all households for which an address can be obtained. The advance letters were developed
through a series of focus groups and will be tested in a pilot survey (see Appendix F).



Experienced, Well-Trained Interviewers. Interviewer training will focus on gaining cooperation
in the first minute or so of the initial contact with a potential respondent. Emphasis will be placed
on sending a general health survey message to potential respondents.



Effective Call Scheduling. To maximize the contact rate, we will use a calling algorithm that
handles all dimensions of call scheduling, including time zone (respondent and interviewer); skill
7

level of interviewer; special needs of the case (e.g., non-English language); call history; and
priority of case handling.


Subsampling Refusals for Conversion. To be able to focus resources on getting as high a
response rate as possible, we will only follow up a subsample of those that refuse to complete the
screening interview.



Refusal Conversion Letters. For the subsample of the refusing households that are followed up
(with an address available), a refusal conversion letter will be sent. The refusal letter will address
some of the main reasons for refusals and will contain a $5 incentive (see Appendix E).

From these efforts, we are projecting a 35-percent response rate for the RDD screener and a 60-percent
response rate for the extended interview. This will result in a response rate of approximately 21 percent
(.35 x .60). These response rates will be calculated as both weighted and unweighted rates.
B.3.2

Maximizing Response Rates—Mail

Steps to minimize nonresponse are also built into the mail study protocol. As mentioned earlier, the study
will take proactive measures to help ensure that high response rate goals are met. These include the
following:


Household Advance Letters. Advance materials will be sent to all households. The advance
letters will describe the study’s goals and objectives and will give assurances of confidentiality.
Letters will be sent to households approximately 1 week before the household is mailed the survey
(see Appendix F).



Multiple Followup for the Mail Survey. If a survey is not received from a designated household
2 weeks after they are sent, a postcard reminder will be sent. If a survey has not been received
2 weeks after the postcard, a final remailing of the surveys will be sent. Pilot tests will be used to
assess the effectiveness of a small incentive and/or use of express delivery for the final mailing.



Pilot Testing of the Mail Survey. As discussed below under the pilot studies, an experiment will
test the effectiveness of the above procedures, along with testing whether the length of the survey
has an effect on the response rate. Results from this will be used as input into the final design of the
instrument.

For the mail survey, we expect that 25 percent of the households will return at least one survey. An
additional 12 percent of households that do not complete a mail questionnaire will complete a telephone
interview. This would yield a final response rate from the mail frame of 26 percent. These rates are based
on results from the recent pilot studies reported by Link and colleagues (2006), from which the
procedures for HINTS have been adapted. Relative to the work by Link and colleagues, we have assumed
a lower mail response rate. The response rate for the telephone followup is based on what is expected
from the refusal conversion effort from the RDD survey. 3

3

Link and colleagues report a 28-percent response rate to their mail survey. We have assumed a 20-percent response rate (3,500/17,499; see
discussion of mail survey in previous section). The final rate of 26 percent was computed by adding in the additional returns from the telephone
followup of the mail survey nonrespondents (457 completes x 2.52 for subsampling one person per household = 1,152 weighted completes).
The final response rate of 26 percent was estimated by [(3,500+1,152)/17,499] x 100.

8

B.3.3

Addressing Nonresponse

Sample weights will be provided for each completed interview to allow for unbiased estimation of
national percentages. The sample weights are products of the base weight, nonresponse adjustments, and
a poststratification adjustment. The base weight is the reciprocal of the probability of selection of each
sampled adult. The nonresponse adjustments are designed to reduce the potential bias caused by
differences between the responding and nonresponding population and are equal to the reciprocals of
weighted response rates within carefully selected response cells. The poststratification adjustment
modifies the nonresponse-adjusted base weights to the most recent Current Population Survey totals of
adults by race/ethnicity, age, region of the country, and other demographic factors. This adjustment has
the effect of reducing variance. To understand the differences in response rates and coverage across the
two frames, HINTS 2007 will compare response rates and respondent characteristics across the two
frames. The specific analyses that we plan on conducting are provided in Appendix M.
B.4

Test of Procedures or Methods to be Undertaken Proposal

For HINTS 2007, we are conducting the following activities to test the procedures for HINTS 2007.
B.4.1

Pilot Mail Survey

The mail survey will be piloted to test the instrument and the survey processes that will be used for the
full field effort. The pilot will aid in understanding how the HINTS instruments and procedures for the
mail mode will work in a national setting. The primary questions to be addressed by the pilot will be (1)
what is the response rate for the mail survey; (2) how does the response rate vary by the length of the
questionnaire, inclusion of an incentive, and the use of express delivery; (3) what types of respondents fill
out the survey by demographic, socioeconomic and health-related characteristics; and (4) what is the data
quality of the surveys, including the completeness of data and adherence to skip instructions? The pilot is
scheduled to occur several months before the full data collection to allow time to make changes to the full
study.
The pilot will have three embedded experiments to test procedures to be used on the main study: (1) the
length of the survey (two conditions), (2) the use of a $2 incentive at the second mailing (two conditions)
and (3) the use of express mail at the second mailing (two conditions). The sample size of 640 households
will detect observed differences of 5 percent to 6 percent as statistically significant when comparing
within each experimental condition.
B.4.2

Pilot Advance Materials

These experiments will be carried out by calling households to complete a short HINTS interview that
will take approximately 5 minutes. The interview will contain the screener and a small sample of
9

questions from the main HINTS interview. Two different introductions and letters will be tested against
one another with samples of approximately 350 households in each experimental group (total sample size
of 700). A similar design will be used to test two prenotification letters. Refusal conversion will not be
done because the methodology is primarily concerned with obtaining initial cooperation within the
household.
B.4.3

Field Experiments

Within the mail mode of the field study, an experiment will be conducted to determine the effect of an
incentive and the methods used to deliver the questionnaires at the last mailing. This will be a
continuation of the experiment described above for the pilot study, except with a larger sample size. If the
pilot provides definitive results, we will implement them in the field study.
The results of HINTS 2007 will be analyzed to assess the relative merits of the dual frame approach from
both a measurement (e.g., response rate, data quality) and cost perspective. These analyses will also
inform analysts on the best way to use the data to take advantage of the strengths of the design. The
methodological analysis will focus on the following questions: (1) what are the differences in the
coverage and unit response rate of the mail and telephone surveys; (2) what are the differences in the item
response rates of the mail and telephone surveys; (3) do the two designs produce different estimates; (4)
can differences in estimates be attributed to the frame, response rates or mode of interviewing (e.g., visual
on mail survey versus aural on the telephone); and (5) what are the relative costs of conducting the mail
and telephone surveys?
The dual-frame multimode design of HINTS 2007 allows one to address each of the above questions by
directly comparing the mail and telephone surveys. This design also provides the ability to bridge the
HINTS trends if significant mode effects are found. Appendix N provides a discussion of how the above
research questions will be addressed, along with the methodology that will be used.
B.5

Individuals Consulted on Statistical Aspects and/or Analyzing Data

A number of individuals were critical in developing the research plan, the conceptual framework, survey
questions, and sampling strategies underlying HINTS. Many of the same individuals will be involved
with analysis of HINTS data once those data are collected. A list of these individuals can be found in
Appendix O.

10