Residential Telephone Service Survey (RTSS)

Detailed information for December 2013

Status:

Inactive

Frequency:

Annual

Record number:

4426

The objectives of this survey are to collect information on telephone penetration rates across Canada and to collect information on non-subscriber characteristics.

Data release - June 23, 2014

Description

The Residential Telephone Service Survey (RTSS) has been conducted since the fall of 1996. The RTSS monitors residential phone penetration rates. Initially, the survey was sponsored by Bell Canada to assess reasons why certain households did not have telephone service. Later, with the increased popularity of cellular phones, the focus of the survey switched to the types of telephone service used by households. Survey results will be used by statisticians to calculate chances of reaching households by telephone.

Collection period: The collection period is the Labour Force Survey (LFS) interview week, usually the third week of the month.

Subjects

  • Information and communications technology
  • Telecommunication industries

Data sources and methodology

Target population

All households in Canada with the following two exceptions:

1) households located in the Yukon, Northwest Territories and Nunavut, and
2) households located on Indian Reserves.

Instrument design

This short and simple questionnaire was designed by the project team. It asks respondents for the total number of different telephone numbers for their residence including cell phone numbers and those used for business.

The questionnaire has remained the same since the start of the survey in 1996, except for the addition of the cell phone only question in May 2002 and the follow-up confirmation of having cell phone(s) only in May 2003.

In 2006, the first major change to the survey questionnaire was made since the start of the survey in 1996. The questionnaire was modified to reflect the changing telephone service market. The questionnaire includes information on the various types of phone service provided (land-line, cellular, cable and Voice over IP (VoIP)), and the number of personal and business telephone numbers associated with the household. In 2006 only, respondents were also asked about the reasons for not having land-line phone service and the use of a cellular phone during periods without land-line telephone service.

For 2010, the questionnaire was modified to more accurately measure different uses of land-based phone connections, and to better distinguish between phones used for household use and those used for business purposes.

For 2013, small changes were made to the question about having active cellular phones and to the question about other types of telephone service used by household. The modifications made to the questionnaire were tested informally.

Sampling

This is a sample survey with a cross-sectional design.

The Residential Telephone Service Survey (RTSS) is a supplement to the Labour Force Survey (LFS). The RTSS uses two of the LFS sample rotations in each of Quebec and Ontario, and three rotations in the other provinces. For the RTSS, the coverage of the LFS is set at the household level. However, unlike the LFS where information is collected for each eligible household member, the RTSS collects information from one household member who reports about the household.

Data sources

Data collection for this reference period: 2013-12-14 to 2013-12-24

Responding to this survey is voluntary.

Data are collected directly from survey respondents.

Information for the Residential Telephone Service Survey is obtained from a knowledgeable household member. Upon completion of the Labour Force Survey interview, the interviewer introduces the RTSS and proceeds with the interview with the respondent's permission.

View the Questionnaire(s) and reporting guide(s) .

Error detection

The first type of error treated was errors in questionnaire flow, where questions which did not apply to the respondent (and should therefore not have been answered) were found to contain answers. In this case a computer edit automatically eliminated superfluous data by following the flow of the questionnaire implied by answers to previous, and in some cases, subsequent questions.

The second type of error treated involved a lack of information in questions which should have been answered. For this type of error, a non-response or "not-stated" code was assigned to the item.

Imputation

This methodology does not apply.

Estimation

The principles behind the calculation of the weights for the Residential Telephone Service Survey are nearly identical to those for the LFS. However, this survey is a household-weighted survey, not a person-weighted survey. Also, further adjustments are made to the LFS sub-weights in order to derive a final weight for the individual records on the Residential Telephone Service Survey microdata file.

1) An adjustment to account for the use of a two-level sub-sample, instead of the full LFS sample. (two of six rotations in each of Quebec and Ontario, 3 rotations in each of other provinces)

2) An adjustment to account for the additional non-response to the supplementary survey, i.e., non-response to the Residential Telephone Service Survey for individuals who did respond to the LFS or for which the previous month's LFS data was brought forward. An analysis was undertaken to determine homogeneous non-response groupings. The groups accounted for such things as household size, number of attempts to contact the household, whether the interview was done by proxy and other demographic and geographic variables.

3) The final adjustment ensured that estimates produced for a province-age-sex group would agree with the known population totals for that province-age-sex group.

Quality evaluation

A comparison with results of previous cycles and with other surveys is done.

Disclosure control

Statistics Canada is prohibited by law from releasing any information it collects that 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.

In order to prevent any data disclosure, confidentiality analysis is done using the Statistics Canada Generalized Disclosure Control System (G-Confid). G-Confid is used for primary suppression (direct disclosure) as well as for secondary suppression (residual disclosure). Direct disclosure occurs when the value in a tabulation cell is composed of or dominated by few enterprises while residual disclosure occurs when confidential information can be derived indirectly by piecing together information from different sources or data series.

Revisions and seasonal adjustment

This methodology does not apply to this survey.

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