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The Practice of Social Research (M...

14th Edition
Earl R. Babbie
ISBN: 9781305104945

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Chapter
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BuyFindarrow_forward

The Practice of Social Research (M...

14th Edition
Earl R. Babbie
ISBN: 9781305104945
Textbook Problem

Review the logic of spuriousness. Can you think up an example where an observed relationship between two variables could actually be explained away by a third variable?

Summary Introduction

Introduction:

In order for a causal relationship to be established, the data must be non-spurious, meaning the relationship must not be explained by a third variable. There is a negative correlation between age and the cost of auto insurance that can be explained by behavior choices of younger people, not their age in years.

Explanation

Answer and explanation:

Many variables seem have a causal relationship when really it is a correlation, or a third, spurious variable explains the relationship more accurately. A causal relationship is only considered valid if no spurious variable can explain it; for example, the price of automobile insurance decreases as a driver ages, costing more for teenagers than middle-aged adults...

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