Data Source

Survey

Type of Study

Cross-section, regular

Data gathering method

Telephone interview (CATI)

Computer assisted telephone interview (CATI); Random Last Digit sampling

Ease

Microdata available only to private clients for a fee

Conditions of access

Type of available data (e.g. anonymised microdata, aggregated tables, etc.)

Aggregate data publicly available online

Formats available

PDF tables and charts

Language issues

Aggregate tables and summaries are available in English and German.

Years of collection, reference years, and sample sizes

Data collection ongoing since 1996. Approximately 4,000 persons are interviewed per quarter (approximately 16,000 persons per year).

First year of collection

1996

Stratification if applicable

Age (10-year brackets), gender, state of residence, size of community of residence, educational attainment, income level

Base used for sampling

Austrian resident population (using Random Last Digit telephone sampling)

Geographical coverage and breakdowns

By state (Bundesland); all states in Austria are represented

Age range

Ages 14 and over

Statistical representativeness

Target group representative

Coverage of main and cross-cutting topics

Data collected on frequency of internet use and patterns of internet use among certain age groups, and internet use by location of use (school, work, home), by educational attainment, residence, and income level Corresponds to Uses of Technology Topic

Further Reading

• "GfK Online Monitor 2011 - Internet Market in Austria" (GfK Online Monitor 2011 - Internetmarkt in Österreich)

Possibility of linkage among databases

No

Entry errors if applicable

No errors reported

Breaks

No breaks reported

Consistency of terminology or coding used during collection

No inconsistencies reported

Strengths: Data has been collected for more than 20 years allowing for analysis of developing trends and patterns of internet usage among older age groups. The survey also provides the possibility to link the data with data collected in other countries. Weaknesses: Disaggregated data is not publicly available.