Home Technology Omnibus Survey
ICR CENTRIS gives you an inside look at home technology use in U.S. households
How many consumers use Video On Demand? What percentage of households own video game systems? How many households have at least one PC? What is the average income of a household that subscribes to premium cable channels? Learn all this and much, much more using ICR CENTRIS. Using random telephone surveys of a cross-section of 4,000 American households a month, CENTRIS can give you information on what technology U.S. consumers are buying and using. It also provides definitive comparisons of the evolution of home technology over much of the last decade.
ICR CENTRIS offers you:
- Quarterly to daily tracking capabilities
- Fast track timing—interviewing can begin and end any day of the week
- Extraordinary affordability
- A choice of a number of data, reporting and pricing options
- Top-line data available as soon as interviewing ends
- Full tabs one day after interviewing ends
- A complete 12-point demographic battery of questions at no charge
- A profile of each sample household’s electronics inventory, entertainment subscriptions, telephone services and software usage
- A choice of exploring the relationship among these technologies
- A choice of cross-tabbing with research objectives including branding, customer satisfaction, public opinion and knowledge
- A better representation; true independent samples from day to day with greater accuracy
Sample design consists of:
- A minimum of 143 interviews daily, half male and half female, totaling at least 1,000 interviews per week
- A fully replicated, stratified, single-stage random-digit-dialing sample of telephone households
- Computer-generated sample telephone numbers loaded into online sample files accessed directly by the CATI system
- Sampling protocol incorporating an automated callback procedure
- Pre-coded geographic information, local phone carrier, cable franchise for each respondent household
Questionnaire design consists of:
- A series of inserts contracted by you that range from 1 to 20 or more questions
- Transitional introductions to each section to ensure complete respondent understanding
- Consistent wording
- Random placement of each set of questions
- Computer control of questionnaire administration, automatic skip pattern handling, response editing and more
- Efficient handling of closed-end responses
- Time-coding for open-end responses
Respondent demographic and classification data includes:
- Respondent demographics and household characteristics including:
- Age
- Income
- Sex
- Own or rent home
- Level of education
- Household size and composition
- Employment status
- Number of telephone numbers
- Race
- Marital status
- Political affiliation
- Geographic information including:
- Census region and division
- State and county code
- MSA/PMSA
- ADI
- County size designation
- Metropolitan status code (center city of metro area, center city county of metro area, county MSA, non-central city county of metro area or non-metropolitan county
- Zip code
- Technology and information data including:
- Movie Attendance
- ComputerUse
- CD-ROM and DVD-ROM Purchases and Viewing Habits
- Internet Access and Activity
- Video Game System Purchases and Use
- Satellite Subscription Use and Activity
- Television and Audio Purchases and Use
- Cable Television Access and Activity
- Pay Per View Access and Activity
- Video On Demand Access and Activity
- Home Video Purchases and Use
- PVRs/DVRs Purchases and Use
- DVD Players Purchases and Use
- Telephone and Wireless Communications
Purchase and Use
- Satellite Radio Activity
Additional features include:
- Open-end coding submissions for client approval a few days after interview completion
- Tabulation of open-end responses scheduled following client approval of codes and code frames
- Nationally representative and projectable estimates of the adult population 18 years of age or older
- A weighting process that takes into account the disproportionate probabilities of household selection due to the number of separate telephone lines, gender, age, education and race of household members, as well as region and metropolitan status
- A post-sampling stratification and balance by key demographics such as age, sex, region and education
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