Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.
:school:
Panel
panelIconId1f3eb
panelIcon
panelIconText🏫
bgColor#C0B6F2

Intended Learning outcomes

This page is designed to help you:

  • Better understand the differences between qualitative and quantitative data collection

  • Advocate for a mixed methods approach

  • Strengthen your knowledge of when to apply certain methods

2753
Panel
panelIconId
panelIcon:question:
panelIconText
bgColor#DEEBFF

What are data collection methods?

Methods are ways of collecting and analysing data. Data can be collected in a number of ways - the most common methods are through surveys, interviews, focus groups and observations. You might also consider how you measure more quantitative change: interaction with your online collections or website, engagement with social media, location-tracking, use of your API, etc. Each of these data sources can give you interesting information to triangulate with more qualitative information.

...

Qualitative vs quantitative data collection - an overview

panelIconId
Panel
23-20e3
panelIcon:hash:
panelIconText#️⃣
bgColor#79E2F2#E6FCFF

Quantitative

What: Things that can be quantified - numbers are always involved. Like satisfaction ratings, numbers of people engaging with an exhibit, etc.

When:

  • To answer questions about how many, how much

  • To make comparisons between different (groups of) people

  • To get a general overview of a situation

Advantages:

  • Generalisable to larger population

  • (Relatively) easy to analyse

  • Reliable and consistent data

Disadvantages:

  • Difficult to interpret without context

  • Not everything can be quantified

  • Building representative samples is difficult

:sunny:
Panel
panelIconId2600
panelIcon
panelIconText☀️
bgColor#79E2F2#E6FCFF

Qualitative

What: Things that can’t be quantified: can be observed and described but less easily measured. Like videos, diary entries, textual analysis in surveys, interviews, focus groups, real-time observation.

When:

  • To answer questions about why and how

  • To dig deeply into a problem

  • When you have access to people from whom you can learn

  • To understand context

Advantages:

  • Rich, in-depth information

  • Flexibility in process

  • Grow relationships with your stakeholders

  • Insight into links and causation

Disadvantages:

  • Time-consuming in collection and analysis

  • Interpretation strongly depends on researcher’s understanding of the environment and context

  • Tackling the researcher’s bias during interpretation

  • Rarely generalisable to a larger population

...

Expand
titleClick to see the answers
  1. Quantitative data is easy to compare to data collected by others. Standardised indicators or questions help with this.

  2. Quantitative. You might use a pop-up survey.

  3. Qualitative. You might conduct an observation to understand the differences in behaviour.

  4. Quantitative data - the numbers - will be effective in this situation. But don’t forget that individual perspectives - which you can include as quotes - can be effective and are often more meaningful, too. You might take a mixed methods approach to help you deliver this balance.

  5. Mixed methods approaches will help in this case, and in most cases!

...

Next steps