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Regenerating Places

Evidence, representations, Spearman's rank and significance testing

  • 3 things to know
  • Paper 2

Overview

Scatter graphs, lines of best fit and Spearman's rank correlation for judging the need for regeneration, from ranking to the formula and interpreting the coefficient, null hypotheses, significance at the 0.05 level, critical values and degrees of freedom, why correlation is not causation, and how newspapers, music, photography, film, art and literature represent a place.

What you need to know

Answer each one before you reveal it.

Your recallNot started
Evaluation

What statistical test can be used to measure the strength of relationships between variables when evaluating the need for regeneration?

Key term

After ranking paired data, what must be calculated next in Spearman's rank correlation?

Key term

What does a Spearman's rank correlation coefficient of +1 indicate?

Questions from this subtopic

Each one with the model answer underneath.

  1. 1

    What graphical technique can be used to visually assess the strength of a relationship between two variables when evaluating regeneration need?

    Model answer

    Scatter graphs.

  2. 2

    What statistical test can be used to measure the strength of relationships between variables when evaluating the need for regeneration?

    Model answer

    Spearman's rank correlation.

  3. 3

    What is the first step when calculating Spearman's rank correlation coefficient?

    Model answer

    Ranking the paired data for each variable separately, from highest to lowest (or lowest to highest).

  4. 4

    After ranking paired data, what must be calculated next in Spearman's rank correlation?

    Model answer

    The difference between the ranks (d) for each pair of data.

  5. 5

    Why are the rank differences squared when calculating Spearman's rank correlation coefficient?

    Model answer

    Squaring the differences eliminates negative values and ensures all differences contribute positively to the calculation.

  6. 6

    State the formula for Spearman's rank correlation coefficient.

    Model answer

    rₛ = 1 − (6Σd²) / n(n² − 1), where d is the difference between ranks and n is the number of pairs.

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