Canadian Internet Use Survey 2018

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Statistics Canada, 2021, "Canadian Internet Use Survey 2018", https://hdl.handle.net/11272.1/AB2/KWDCXH, Abacus Data Network, V1, UNF:6:HSdtMdkfozV4ajBrR/TmXA== [fileUNF]

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Description	The 2018 Canadian Internet Use Survey (CIUS) measures access to the Internet and the online behaviours of individual residents of Canada 15 years of age and over, living in the provinces. The survey is built off the previous iteration of the CIUS, last conducted in 2012. The 2018 iteration has been redesigned and modernized to increase international comparability, answer government policy-relevant questions, and measure a wider range of online activities, given the rapid pace at which the Internet has evolved. The 2018 CIUS aims to measure the impact of digital technologies on the lives of Canadians. Information gathered will help to better understand how individuals use the Internet, including intensity of use, demand for online activities and online interactions. The CIUS examines, use of online government services, use of social networking websites or apps, smartphone use, digital skills, e-commerce, online work, and security, privacy and trust as it relates to the Internet. Collected data is used to inform evidence-based policymaking, research and program development, and provide internationally comparable statistics on the use of digital technologies. The 2018 iteration of the CIUS is sponsored by Innovation, Science and Economic Development Canada (ISED). Numerous other government departments also provided input during the questionnaire content development phase. (2019-06-17)
Subject	Social Sciences
Keyword	Social Indicators
Notes	Data from user guide and survey information page https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=1196799 [22 Feb 2021] Note from Statistics Canada, 10 February 2021 Since the release of the 2018 Canadian Internet Use Survey (CIUS) microdata file, it was noticed that the ‘Valid skip’ (valid skip = 6) and the ‘Not stated’ (not stated = 9) were missing from some of the ‘Universe statements’ in the Codebook (data dictionary). In general, this issue only impacts questions that rely on a flow from a previous question. Please refer to the questionnaire flow document to ensure that you are using the proper universe when conducting research and creating indicators. Note, [Statistics Canada] is working to correct this issue and will release a new version of the 2018 CIUS codebook when it becomes available.

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	CIUS2018_PUMF_CdBk.pdf Documentation/Adobe PDF - 3.2 MB Published Feb 22, 2021 180 Downloads MD5: acc8547aaad75ef691e68ccb60cb6dcc Codebook Documentation	Preview Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX Explore Options Read Document
	CIUS2018_QuestE.pdf Documentation/Adobe PDF - 359.3 KB Published Feb 22, 2021 124 Downloads MD5: 92bda67c0b13c48ec7905d6dd626d268 Questionnaire Documentation	Preview Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX Explore Options Read Document
	CIUS2018_UgE.pdf Documentation/Adobe PDF - 1.0 MB Published Feb 22, 2021 104 Downloads MD5: 8c10fd4bd38bd0473bde4985d23094c1 User guide Documentation	Preview Access File File Access Public Download Options Adobe PDF Download Metadata Data File Citation EndNote XML RIS BibTeX Explore Options Read Document

Citation Metadata

Dataset Persistent ID	hdl:11272.1/AB2/KWDCXH
Publication Date	2021-02-22
Title	Canadian Internet Use Survey 2018
Other ID	Statistics Canada: 56M0003X
Author	Statistics Canada
Contact	Use email button above to contact. Abacus support
Description	The 2018 Canadian Internet Use Survey (CIUS) measures access to the Internet and the online behaviours of individual residents of Canada 15 years of age and over, living in the provinces. The survey is built off the previous iteration of the CIUS, last conducted in 2012. The 2018 iteration has been redesigned and modernized to increase international comparability, answer government policy-relevant questions, and measure a wider range of online activities, given the rapid pace at which the Internet has evolved. The 2018 CIUS aims to measure the impact of digital technologies on the lives of Canadians. Information gathered will help to better understand how individuals use the Internet, including intensity of use, demand for online activities and online interactions. The CIUS examines, use of online government services, use of social networking websites or apps, smartphone use, digital skills, e-commerce, online work, and security, privacy and trust as it relates to the Internet. Collected data is used to inform evidence-based policymaking, research and program development, and provide internationally comparable statistics on the use of digital technologies. The 2018 iteration of the CIUS is sponsored by Innovation, Science and Economic Development Canada (ISED). Numerous other government departments also provided input during the questionnaire content development phase. (2019-06-17)
Subject	Social Sciences
Keyword	Social Indicators (ACV)
Topic Classification	Open (Open Access Tag)
Notes	Data from user guide and survey information page https://www23.statcan.gc.ca/imdb/p2SV.pl?Function=getSurvey&Id=1196799 [22 Feb 2021] Note from Statistics Canada, 10 February 2021 Since the release of the 2018 Canadian Internet Use Survey (CIUS) microdata file, it was noticed that the ‘Valid skip’ (valid skip = 6) and the ‘Not stated’ (not stated = 9) were missing from some of the ‘Universe statements’ in the Codebook (data dictionary). In general, this issue only impacts questions that rely on a flow from a previous question. Please refer to the questionnaire flow document to ensure that you are using the proper universe when conducting research and creating indicators. Note, [Statistics Canada] is working to correct this issue and will release a new version of the 2018 CIUS codebook when it becomes available.
Producer	Statistics Canada (Statcan) https://statcan.gc.ca
Production Place	Ottawa
Distributor	Statistics Canada (Statcan) https://statcan.gc.ca
Depositor	Lesack, Paul
Deposit Date	2021-02-22
Date of Collection	Start: 2018-11-15 ; End: 2019-03-21
Series	CIUS: Canadian Internet Use Survey

Geospatial Metadata

Geographic Coverage	Canada
Geographic Bounding Box	-141.018 -52.6194 83.1355 41.6814

Social Science and Humanities Metadata

Unit of Analysis	Individuals, households
Universe	The target population is all persons 15 years of age and older living in the ten provinces of Canada. It excludes full-time (residing for more than six months) residents of institutions. People living on reserves are not excluded from the survey population, but they are not targeted in the sample. As the CIUS does not collect this characteristic, there is no way to identify whether the respondents, who are selected from a telephone-based frame, reside on a reserve.
Time Method	Cross-sectional
Data Collector	Statistics Canada
Sampling Procedure	This is a sample survey with a cross-sectional design. The sample is no longer taken from the Labour Force Survey (LFS) sample. This survey uses a frame that combines landline and cellular telephone numbers from the Census and various administrative sources with Statistics Canada’s dwelling frame. Records on the frame are groups of one or several telephone numbers associated with the same address (or single telephone number in the case a link between a telephone number and an address could not be established). This sampling frame is used to obtain a better coverage of households with a telephone number. The sample is based on a stratified design employing probability sampling. The stratification is done at the province level. Information is collected from one randomly selected household member aged 15 or older, and proxy responses are not permitted. Sampling unit: The CIUS uses a two-stage sampling design. The sampling units are the groups of telephone numbers. The final stage units are individuals within the identified households. Note that the CIUS only selects one eligible person per household to be interviewed. For the survey, a single eligible member of each sampled household is randomly selected. A field sample of approximatively 33,000 units was used. Among them, about 26,000 had addresses that were attached to the telephone number in the frame. Invitation letters to complete the electronic questionnaire were sent to these selected households across Canada. The remaining portion of the sample that did not receive an invitation letter because they did not have an address attached to their telephone number, were contacted by telephone to complete the questionnaire with an interviewer. A completion of 15,000 questionnaires was expected.
Collection Mode	Responding to this survey is voluntary. Data are collected directly from survey respondents. Data are collected through an electronic questionnaire or computer assisted telephone interviewing (CATI). No proxy reporting is allowed. The respondent has the choice to respond in French or in English. The average time to complete the survey is estimated at 30-60 minutes. Invitation letters and reminders, containing secure access code, to complete electronic questionnaires were sent to respondents by mail. Intensive non-response follow-up was also conducted by CATI. The collection method has changed from telephone, solely, in 2012, to electronic questionnaire for 2018, with CATI follow-up.
Type of Research Instrument	Structured
Weighting	When a probability sample is used, as it was the case for this survey, the principle behind estimation is that each person selected in the sample represents (in addition to himself/herself) several other persons not in the sample. For example, in a simple random sample of 2% of the population, each person in the sample represents 50 persons in the population (himself/herself and 49 others). The number of persons represented by a given respondent is usually known as the weight or weighting factor. The 2018 CIUS is a survey of individuals and the analytic files contain questionnaire responses and associated information from the respondents. A weighting factor is available on the microdata file: WTPM: This is the basic weighting factor for analysis at the person level, i.e. to calculate estimates of the number of persons (non-institutionalized and aged 15 or over) having one or several given characteristics. In addition to the estimation weights, bootstrap weights have been created for the purpose of design-based variance estimation. Estimates based on the survey data are also adjusted (by weighting) so that they are representative of the target population with regard to certain characteristics (each month we have independent estimates for various age-sex groups by province). To the extent that the characteristics are correlated with those independent estimates, this adjustment can improve the precision of estimates.
Response Rate	43.7%.
Estimates of Sampling Error	As the data are based on a sample of persons, they are subject to sampling error. That is, estimates based on a sample will vary from sample to sample, and typically they will be different from the results that would have been obtained from a complete census. More precise estimates of the sampling variability of estimates can be produced with the bootstrap method using bootstrap weights that have been created for this survey. The bootstrap method was used to estimate the sampling variability for all of the estimates produced based on the data from 2018 CIUS. The sample error is quantified by the coefficient of variation (CV) with the following guidelines: 16.5% and below: Acceptable estimate; 16.6% to 33.3%: Marginal estimate, with cautionary note; Above 33.3%: Unacceptable estimate. Estimates that do not meet an acceptable level of quality are either flagged for caution or suppressed. Response rate: The overall response rate is 43.7%.
Other Forms of Data Appraisal	Non-sampling error: Common sources of these errors are imperfect coverage and non-response. Coverage errors (or imperfect coverage) arise when there are differences between the target population and the surveyed population. Households without telephones, as well as households with telephone services not covered by the current frame, represent a part of the target population that was excluded from the surveyed population. To the extent that the excluded population differs from the rest of the target population, the results may be biased. In general, since these exclusions are small, one would expect the biases introduced to be small. Survey estimates will be adjusted (i.e. weighted) to account for non-response cases. Other types of non-sampling errors can include response errors and processing errors. Non-response bias: The main method used to reduce non-response bias involved a series of adjustments to the survey weights to account for non-response as much as possible. Coverage error: The survey frame for CIUS was created using several linked sources, such as the Census, administrative data and billing files. All respondents in the ten provinces were interviewed by telephone or self-completed an electronic questionnaire. Households without telephones were therefore excluded from the survey population. Survey estimates were adjusted (weighted) to represent all persons in the target population, including those not covered by the survey frame. Other non-sampling errors: Significant effort was made to minimize bias by using a well-tested questionnaire, a proven methodology, specialized interviewers and strict quality control. k

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