How to Make Sense of Statistics by Stephen Gorard

Author:Stephen Gorard
Language: eng
Format: epub, pdf
Published: 2021-02-01T08:50:27.879778+00:00

Conclusion

Given that randomness is an ideal not often seen in practice in social science samples, it is most important that the much more common non-random (and incomplete ‘random’) samples are analysed properly. And that appropriate techniques are available and taught for handling these real-life samples that are not random (but which are largely ignored in most statistical texts). Real-life samples cannot and should not be used with any technique predicated on random samples. What this means for missing data is discussed in Chapter 12, and what it means for conventional inferential statistics is explained in Chapter 6.

Suggestion for further reading

A wider discussion on randomness, and whether it is possible:

Chapter 5 in Gorard, S. (2013b) Research Design. London: Sage.

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