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31 to 40 of 73 Results
Adobe PDF - 1.1 MB - MD5: 2e414090a2a2c5523546d6e932c8a118
2022 Ontario Election Study Codebook
Tabular Data - 6.5 MB - 670 Variables, 3998 Observations - UNF:6:5RIakQPy/4qWmpVbWuFeYA==
2022 Ontario Election Study Dataset
Jun 12, 2023 - Harvard Dataverse
Stephenson, Laura B; Harell, Allison; Rubenson, Daniel; Loewen, Peter John, 2020, "2019 Canadian Election Study (CES) - Phone Survey", https://doi.org/10.7910/DVN/8RHLG1, Harvard Dataverse, V3, UNF:6:4y/GPxlJXy2NDqZ1ICVJXQ== [fileUNF]
The 2019 Canadian Election Study (CES) - Phone Survey was conducted to gather the attitudes and opinions of Canadians during and after the 2019 federal election. It is part of the series of Canadian Election Studies begun in 1965.
Tabular Data - 2.6 MB - 275 Variables, 4021 Observations - UNF:6:s41h/TfTce3OGyCcHqovjQ==
This version of the dataset has been updated to include a variable that identifies a respondent's federal constituency (feduid).
Jun 7, 2023
Harell, Allison; Stephenson, Laura B; Rubenson, Daniel; Loewen, Peter John, 2023, "2022 Democracy Checkup", https://doi.org/10.7910/DVN/21L3YU, Harvard Dataverse, V1, UNF:6:6l/5GXo6ttvWSpxnEjSX2g== [fileUNF]
Democracy Checkup surveys gather information about the opinions of Canadians when election campaigns are not activating their interest and/or partisan attitudes, and capture general public opinion about democratic values, public policies, and current issues.
Jun 7, 2023 - 2022 Democracy Checkup
Adobe PDF - 565.6 KB - MD5: bfc51d45acb730388d0f6d1cf056903c
2022 Democracy Checkup Survey Codebook
Jun 7, 2023 - 2022 Democracy Checkup
Tabular Data - 11.4 MB - 417 Variables, 9829 Observations - UNF:6:6l/5GXo6ttvWSpxnEjSX2g==
2022 Democracy Checkup Survey Dataset
Adobe PDF - 221.4 KB - MD5: 31d96e00cc5c3a8050e7b66e5651dcc4
Codebook for Most Important Issue Coding
Tabular Data - 3.6 MB - 41 Variables, 37822 Observations - UNF:6:L0A0hDxh6b2mmK2nmQDoyw==
Dataset with Most Important Issue Coding
Adobe PDF - 220.5 KB - MD5: 502e8de54add10efb17af9b0b78a2b00
Codebook for Most Important Issue Coding
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