The cultural consumption survey is a sample-based questionnaire survey. Approx. 1,000 responses are collected each month either via web form or as a telephone interview for 24 months. The results are corrected for conditions, such as dropouts and the composition of the population. Data quality is checked at both micro and macro level. During the data processing, a limited number of responses are corrected due to non-consistent or obviously incorrect answers. The year 2018 covers 3rd quarter 2018- 2nd quarter 2019. The year 2019 covers 3rd quarter 2019-2nd quarter 2020. The year 2020 covers 3rd quarter 2020-2nd quarter 2021.
The statistics are prepared on the basis of sample-based questionnaires. The sample is drawn quarterly from The Central Person Register (CPR), which is updated daily. Approx. 1,000 completed responses each month. The sample contains a panel that allows you to compare cultural consumption at individual level over time. The members of the panel participate a total of four times over a six-quarter period. The study's population is the same for all quarters and consists of people aged 4 or older, living in Denmark. The response rate is between 48 and 55 percent and the sample is approx. 6,000 people every quarter. The results of the sample are enriched with a number of register-based background variables on the interviewees, e.g. education level, income, family composition or socio-economic status. The background variables are drawn from Statistics Denmark's various registers as close as possible to the reference period of the study.
The COVID-19 situation is not expected to have an influence on the quality of the results for the 2nd quarter 2020. The data collection process was the same as in the previous quarters, no deviations. In 2020 data was collected during the COVID-19 lock down. The lock down impacted numerous cultural activities covered by the statistics as most of the cultural institutions e.g. museums and theaters were closed for some part of the year. COVID-19 explains the variation of results for 2020 quarters from results for previous quarters.
Data from 2019 covers 3rd quarter 2019 to 2nd quarter 2020. In the second quarter 2020-2021 data was collected during the COVID-19 lock down which had an impact on numerous cultural activities. This explains the variation of results for the years 2019 and 2020 from results for the previous year (2018).
Quarterly in the period July 1, 2018 to December 1, 2021.
The data collection is carried out every month throughout the year combining computer-aided telephone interviews (CATI) and web-gathering. The collection method is distributed at 28 per cent CATI and 72 per cent web in the first round of collection in 3 quarter 2018. The corresponding distribution for 4 quarter 2018 is 31 per cent CATI interviews and 69 per cent Web reports. In total, approx. 2,000 people each month. The goal is approx. 1,000 completed interviews per month and at least 10,000 completed interviews per year.
Data validation takes place partly during the data collection as non-consistent responses are reduced by using routing. This means that the interviewee is only asked about e.g. number of concert visits, if he or she stated in previous questions that they have used "concerts" as a way to listen to music in the past three months. Furthermore, data is validated after data collection using consistency checks and comparison with previous data collection results. Finally, the so-called macro error search focuses on the items that have the greatest impact on the finished statistics product. Key variables are compared to results of other relevant studies.
Calculating weights and enumerating the entire population of results is an essential part of data processing. The weights are used to enumerate the results of the sample survey to make them representative of the entire target population and to adjust for discontinuations. The weights are calculated using the assistance information on the interviewed persons from statistics registers using regression models. Grouped register variables such as gender, age, education, family income, socioeconomic status and residence address, grouped as degree of urbanization, are part of the enumeration model.
Data is also processed in the form of the creation of derived variables. For example, derivative variables, that indicate whether the individual cultural activities have been "used" over the past three months, are calculated. The number of rhythmic concerts is calculated by subtracting the number of classical concerts (Music6) from the number of all kinds of concerts (Music5).
Not relevant for these statistics.