Interpret Your Correlation Matrix (Pearson’s r)

Interpret Your Correlation Matrix (Pearson’s r)

par HUF04 Võ Thị Bích Hạnh,
...

Correlations

 

Total perceived stress

Total life satisfaction

Total perceived stress

Pearson Correlation

1

-.494**

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Correlations

 

Total perceived stress

Total life satisfaction

Total perceived stress

Pearson Correlation

1

-.494**

Sig. (2-tailed)

 

.000

N

433

433

Total life satisfaction

Pearson Correlation

-.494**

1

Sig. (2-tailed)

.000

 

N

433

436

**. Correlation is significant at the 0.01 level (2-tailed).

From the matrix, there is a moderate negative correlation between total perceived stress and total life satisfaction (r = −.494, p < .01). This means that as students’ stress levels increase, their life satisfaction tends to decrease.

There are no strong correlations (r ≥ .50) or weak correlations (r < .30) reported in this matrix, as it only includes two variables with one correlation value.

The relationship is statistically significant (p = .000), indicating that the result is unlikely due to chance. This finding is not surprising, as higher stress is commonly associated with lower life satisfaction in real-life contexts.

Interpret Your Correlation Matrix (Pearson’s r)

par HUF04 Nguyễn Ngọc Vy,
Your interpretation is clear and accurate 👍 You correctly identified the moderate negative correlation and explained it in a very understandable way.
One small suggestion: ...

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Your interpretation is clear and accurate 👍 You correctly identified the moderate negative correlation and explained it in a very understandable way.
One small suggestion: since r = −.494 is very close to −.50, you might briefly mention that it is borderline strong, which adds a bit more nuance to your analysis.