Foundational Quantitative
Mathematics is a language through which you can represent and describe information in a way that makes it useful in interpreting new information, forecasting, and computing.
It helps us understand the world by building models of it in meaningful terms. Allowing mathematical proficient to be better critical thinkers, have mental discipline, and provide them with a way of abstraction of information. Abstraction can be considered the most important skill in creating or designing anything. Whether it’s artwork, research methods, or systems design and investigation, mathematics can always be handy in daily life and many processes. Despite the experiences many people had in high school and college math, everyone can learn and work with the foundations of quantitative methods.
Below are some of our favourite resources, examples, and scholars prepared to help introduce you to these topics.
Quantitative Guide
This toolkit is a starting point for academic and non-academic communities to explore approaches to socially-distanced but deeply engaged qualitative research methods. Each method described has its own benefits and shortcomings, and place in the qualitative methodological tool kit. Our goal is to provide a practical foundation for imagining the range of what is possible in social research during lockdown, and then point to resources to more fully engage in learning these methods.
Quantitative Buckets
Foundations of quantitative methods
Understanding data collection
Data cleaning, wrangling, and exploration
Testing
Interpretation and Communication
Foundational Quantitative Methods
Understanding Data Collection
- Primary versus secondary data collection
- Different forms of data collection/data collection instruments (surveys, tests, questionnaires, observational data, administrative data, interviews, big data)
- Pros and cons of different forms of data collection and what that means for your research
Data Cleaning, Wrangling, and Exploration
Testing
Interpretation and Communication
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