2025-00886 - QUALITATIVE AND QUANTITATIVE ANALYSIS OF SURVEY RESULTS (Канада - Тендер #68295771)

Basic Information

Reference Number

cb-249-48403298

Issuing Organization

Defence Research and Development Canada (DRDC)

Solicitation Number

2025-00886

Title

QUALITATIVE AND QUANTITATIVE ANALYSIS OF SURVEY RESULTS

Source ID

PWGSC

Agreement Types

Canada-Chile Free Trade Agreement (CCFTA)

Canada-Colombia Free Trade Agreement

Canada-European Union Comprehensive Economic and Trade Agreement(CETA)

Canada-Honduras Free Trade Agreement

Canada-Korea Free Trade Agreement

Canada-Panama Free Trade Agreement

Canada-Peru Free Trade Agreement (CPFTA)

Canadian Free Trade Agreement (CFTA)

Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP)

World Trade Organization Agreement on Government Procurement (WTO-AGP)

Canada-Ukraine Free Trade Agreement (CUFTA)

Canada-UK Trade Continuity Agreement (Canada-UK TCA)

Details

Location

National Capital Region

Dates

Publication

2025/11/04 12:00:00 AM EST

Closing Date

2025/11/18 02:00:00 PM EST

Contact Information

Daniel Renda

(343) 548-4139

daniel.renda@forces.gc.ca

Description

The Director General Military Personnel Research and Analysis requires the services of two researchers with experience in survey research and qualitative data analysis to collaborate with each other in conducting analyses of open-ended survey questions.

The Evaluation Services Consultants will be required to collaborate with each other to generate written reports using data provided for two unique projects. The scope of each project may include but is not limited to the following requirements:

• Qualitative data analysis of open-ended survey question content using qualitative content analysis, without using AI tools such as ChatGPT, Copilot, Gemini, etc.
• Quantitative data analyses including simple statistical analyses (e.g., frequencies, proportion differences tests)
• Written report on research and analysis services (e.g., qualitative and quantitative analysis, etc.), while ensuring the data is organized according to user requirements (e.g., parsing out differences by sub-groups of interest)

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