Survey of Energy Consumption of Arenas (SECA)

Detailed information for 2014

Status:

Inactive

Frequency:

Occasional

Record number:

5222

Statistics Canada, in partnership with Natural Resources Canada, is conducting this survey to collect detailed information on the energy demand and consumption patterns of facilities with indoor hockey and/or skating rinks in Canada.

Data release - August 30, 2016.

Description

The data will be used by utilities, as well as provincial and federal governments, to develop programs and policies that will improve the energy efficiency of commercial and institutional buildings in Canada. In addition, they will be used to support target programs, such as ENERGY STAR Portfolio Manager, providing the basis for updating the ENERGY STAR 1-100 performance scores currently available and for creating new scores for building types not currently eligible for a score. Industry associations, building managers and business owners will have up-to-date data on similar buildings with which to compare their own energy consumption. Energy specialists and consumers can use the data to learn more about their building consumption patterns.

Subjects

  • Energy
  • Energy consumption and disposition

Data sources and methodology

Target population

The target population includes all facilities with indoor hockey and/or skating rinks in all provinces and territories in Canada.

To be in-scope, the facility must have at least one indoor ice surface and be in operation at some time during the 2014 calendar year. The target population will exclude indoor hockey and/or skating rinks located in schools, post secondary institutions and malls.

The survey includes four building types:

¿ Stand-alone (single) arenas
¿ Stand-alone (multi-rink) arenas
¿ Sports Multiplex
¿ Professional sports/entertainment venue

Instrument design

The questionnaires for the Survey of Energy Consumption of Arenas were designed by Statistics Canada in consultation with Natural Resources Canada.

Questionnaire design specialists were consulted in the design and testing of the survey questionnaires Their comments on the design and content were incorporated into the final versions.

Sampling

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

The Survey of Energy Consumption of Arenas is designed to obtain complete and accurate data from all in-scope facilities in Canada. Data are collected for all units of the target population, therefore no sampling is done.

Data sources

Data collection for this reference period: 2015-09-14 to 2016-02-26

Responding to this survey is mandatory.

Data are collected directly from survey respondents.

Respondents are first contacted using computer-assisted telephone interviews to confirm that they are in-scope for the survey and to identify contacts for the collection.

All in-scope facilities will be sent the paper questionnaire. The information being collected by the two versions of the questionnaires are identical. Two versions were required because collection activities are taking place in regional offices with different contact numbers.

Follow-up will be completed using a computer-assisted telephone interview (CATI).

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

Error detection

Throughout the collection period, attention was given to the interviewer case remarks and notes to identify missing or incorrectly recorded values. Validity and consistency edits were performed in the collection application to limit potential errors. There was ongoing review of the write-in fields of the questionnaire for re-coding the responses.

In the post-collection stage, validity, distribution and consistency edits were performed to identify incorrect, missing and invalid responses for usable records. Edits based on ratios were applied to detect errors and inconsistencies in the reported survey data following collection. Outlier detection was also used to identify extreme values requiring imputation.

Imputation

Imputation was performed to treat partial non-responses (also called item non-responses). Note that total non-responses were accounted for during the weighting process by adjusting the weight of all responding records.

A returned questionnaire was considered as a partial non-response when some variables were fully completed by a respondent, but one or more other variables were left blank and would need to be completed via imputation. Excluding instances where certain questions do not apply to some respondents, we observed that about 10-20% of the data for the various variables required imputation (on average). The imputation of non-responses was performed using the nearest neighbour donor imputation procedure in the generalized system BANFF. This procedure uses a nearest neighbour approach to find, for each record requiring imputation, the valid record that is most similar to it and that will allow the imputed recipient record to pass the specified imputation edits and post edits.

Nearest neighbour donor imputation was applied when variables in a record requiring imputation (the recipient) were identified and imputed using a donor record mostly similar to the recipient record. These similar records were found by taking into account other variables that were correlated with the missing/incorrect values via the customized imputation classes and matching variables for each variable to be imputed. If nearest neighbour donors were not found for all recipients, then it was necessary to be less restrictive by changing the imputation classes and reprocessing the data. For example, similar units would be located by region rather than by province and thus more donors in each class would be available for the recipients requiring imputation. This imputation processing continued by a predetermined sequence until nearest neighbour donors were assigned to all records requiring imputation or until no nearest neighbour donors were available. Once nearest neighbour donors were found, the new imputed values replaced the previous missing or incorrect values for the variable. During imputation, edits and post edits were applied to ensure that the resulting record did not violate any of the specified edits.

Estimation

Although this is a census, the presence of total non-response is factored in the estimates and during the estimation of the variance. The units were assigned a final weight greater than one as soon as at least one total non-respondent was observed within a reweighting class. These final weights were used to produce weighted estimates. The Generalized Estimation System was used to compute the estimated variances.

Disclosure control

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.

Statistics Canada will use the information from this census for statistical and research purposes.

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