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Ontario Investing Survey
Description: | This dataset contains the results of a web-based survey conducted by Dr. Anthony Piscitelli at Conestoga College, which examined Ontario residents’ motivations for investing to determine what messaging resonates with investors across the province. The survey was particularly focused on examining investors’ perspectives on impact investing. In addition, other questions within the online survey focused on the use of social media platforms, attitudes toward politics and current events, and other demographic related questions. The survey was conducted by Dynata between November 2nd and November 10th, 2020. A total of 1,834 people over the age of 18 participated in the survey, with an oversampling of residents from Waterloo Region (336 of the total respondents). The results of the survey included below have been weighted by age, gender, and region of Ontario. This includes the number of respondents and their corresponding percentages. The survey was funded by the Social Science and Humanities Research Council’s College and Community Social Innovation Fund and was approved by Conestoga College’s Research Ethics Board. |
Authors: | Piscitelli, Anthony; Conestoga College; ![]() |
Keywords: | survey Ontario impact investing investing public opinion public policy |
Field of Research: | Economics and business administration > Finance > Stock markets
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Publication Date: | 2025-03-10 |
Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
Funder: | Social Sciences and Humanities Research Council; Community College Social Innovation Fund Grant |
URI: | https://doi.org/10.20383/103.01234 |
Related Identifiers: |
This dataset is cited by
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Geographic Coverage: | Province / Province / Territory Ontario Territory Country Canada |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) https://creativecommons.org/licenses/by-sa/4.0/
Citation
Piscitelli, A. (2025). Ontario Investing Survey. Federated Research Data Repository. https://doi.org/10.20383/103.01234