This survey collects the financial and operating data needed to develop national and regional economic policies and programs.
Data release – January 30, 2013. (After the 2011 reference year, the frequency of this survey was changed from annual to biennial. It will not be conducted for the 2012 reference year.)
This survey collects data required to produce economic statistics for the Sound Recording and Music Publishing Industry in Canada.
Data collected from businesses are aggregated with information from other sources to produce official estimates of national and provincial economic production for this industry.
Survey estimates are made available to businesses, governments, investors, associations, and the public. The data are used to monitor industry growth, measure performance, and make comparisons to other data sources to better understand this industry.
The target population consists of all statistical establishments (sometimes referred to as firms or units) classified to the Sound Recording Industries according to the North American Industry Classification System (NAICS 2007) during the reference year.
The survey questionnaire contains generic modules designed to cover several service industries. These include revenue, expense, and employment modules. This questionnaire also includes an industry-specific module designed to collect financial and non-financial characteristics.
This is a sample survey with a cross-sectional design.
The survey design was based on probability sampling and only covered the portion of the frame subject to direct data collection.
The basic objective of the survey is to produce estimates for the whole industry for incorporated and unincorporated businesses. The data come from two different sources: a sample of all businesses with revenue above or equal to a certain threshold and administrative data for businesses with revenue below the threshold, which are excluded from sampling. The excluded portion represents a substantial proportion of the industry in terms of number of establishments, but its contribution to the overall industry revenue is only about 5%. It should be noted that for this excluded portion, only certain financial information is obtained from administrative sources; e.g., total revenue, expenses such as depreciation and salaries, wages and benefits. (Note: the threshold varies between industries and between provinces in the same survey.)
The frame is the list of establishments from which the portion eligible for sampling is determined and the sample is taken. The frame provides basic information about each firm including: address, industry classification and other administrative information. The frame is referred to as the Business Register and is updated regularly using administrative data.
Prior to the selection of a random sample, establishments are classified into homogeneous groups (i.e., groups with the same industry, same geography (province/territory). Quality requirements are targeted, and then each group is divided into sub-groups called strata: take-all, must-take, and take-some.
The take-all stratum represents the largest firms in terms of performance (based on revenue). The must-take stratum is comprised of units selected on the basis of complex structure characteristics (multi-establishment, multi-legal, multi-NAICS, or multi-province enterprises), as well as selected establishments whose particular industry characteristics make it essential that they be included. All take-all and must-take firms are selected to the sample. Units in the take-some strata are subject to simple random sampling.
The effective sample size for the 2011 Sound Recording and Music Publishing survey was 365 collection entities.
Data collection for this reference period: 2012-06-04 – 2012-10-05
Responding to this survey is mandatory.
Data are collected directly from survey respondents and extracted from administrative files.
Data are collected through a mail-out/mail-back process, while providing respondents with the option of telephone or other electronic filing methods.
Follow-up procedures are applied when a questionnaire has not been received after a pre-specified period.
Data are examined for inconsistencies and errors using automated edits coupled with analytical review. Every effort is made to minimize the non-sampling errors of omission, duplication, reporting and processing.
Partial records are imputed to make them complete. Data for non-respondents are imputed using donor imputation, administrative data or historical data.
As part of the estimation process, survey data are weighted and combined with administrative data to produce final industry estimates.
Prior to dissemination, combined survey results are analyzed for comparability. In general, this includes a detailed review of individual responses (especially for the largest companies), general economic conditions, historic trends, and comparisons with other data sources.
Statistics Canada is prohibited by law from releasing any information it collects which could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. Various confidentiality rules are applied to all data that are released or published to prevent the publication or disclosure of any information deemed confidential. If necessary, data are suppressed to prevent direct or residual disclosure of identifiable data.
There is no seasonal adjustment. Data from previous years may be revised based on updated information.
While considerable efforts are made to ensure high standards throughout all stages of collection and processing, the resulting estimates are inevitably subject to a certain degree of error. These errors can be broken down into two major types: non-sampling and sampling.
Non-sampling error is not related to sampling and may occur for many reasons. For example, non-response is an important source of non-sampling error. Population coverage, differences in the interpretation of questions, incorrect information from respondents, and mistakes in recording, coding and processing data are other examples of non-sampling errors.
The weighted response rate represents the proportion of the total revenue accounted for by units that responded to the survey. Of the sampled units contributing to the estimate, the weighted response rate was 86.2%, after accounting for firms that have gone out of business, have been reclassified to a different industry, are inactive, or are duplicates on the frame
Sampling error occurs because population estimates are derived from a sample of the population rather than the entire population. Sampling error depends on factors such as sample size, sampling design, and the method of estimation. An important property of probability sampling is that sampling error can be computed from the sample itself by using a statistical measure called the coefficient of variation (CV). The assumption is that over repeated surveys, the relative difference between a sample estimate and the estimate that would have been obtained from an enumeration of all units in the universe would be less than twice the CV, 95 times out of 100. The range of acceptable data values yielded by a sample is called a confidence interval. Confidence intervals can be constructed around the estimate using the CV. First, we calculate the standard error by multiplying the sample estimate by the CV. The sample estimate plus or minus twice the standard error is then referred to as a 95% confidence interval.
The qualities of CVs are rated as follows:
. Excellent 0.01% to 4.99%
. Very good 5.00% to 9.99%
. Good 10.00% to 14.99%
. Acceptable 15.00% to 24.99%
. Use with caution 25.00% to 34.99%
. Unreliable 35.00% or higher
CVs were calculated for each estimate. The CVs are available upon request.