Quantitative Data Flashcards

1️⃣ Familiarise yourself with the flashcards:

  • Look through all the flashcards to see what's on both sides.
  • Make sure you understand the information on each card. If something's unclear, click the link to the revision notes at the bottom of the page for more details.

2️⃣ Test yourself:

  • Look at the question or prompt on each card and try to remember the answer before flipping it over.
  • Check the answer and make a note of any cards you find challenging and need to go over more.

3️⃣ Consistently Review and Practice:

  • Use spaced repetition: spend more time on the cards you struggle with and go over them more often.
  • Regularly review all the flashcards to help you better understand and retain the information over time.

Note: We may include questions that have multiple correct answers. It's useful to remember specific examples to understand these concepts better.

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What is quantitative data?

Data in numbers. It counts or measures things.

Give one example of quantitative data in sociology.

The number of crimes recorded in a month.

How can researchers collect quantitative data?

By using tick-box surveys, tallies, or official statistics.

What is a closed question?

A question with set answers to pick, like yes/no or 1–5. It makes data easy to count.

What is the difference between quantitative and qualitative data?

Quantitative data is numbers about how many or how often. Qualitative data is words or images about meanings.

What is the difference between primary and secondary quantitative data?

Primary quantitative data is numbers you collect yourself. Secondary quantitative data is numbers from others, like government statistics.

Name one strength of quantitative data.

It is easy to compare groups and spot patterns.

Name one limitation of quantitative data.

It may miss reasons and meanings behind behaviour.

What does frequency mean in quantitative data?

How many times a response or event happens.

What is a Likert scale?

A rating scale, such as 1 to 5 from 'strongly agree' to 'strongly disagree', that gives numbers.

What is coding in quantitative research?

Turning answers into numbers, for example yes=1 and no=0, so you can count and analyse them.