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Mathematically, a correlation coefficient can range from –1.0 to 1.0.

The book 'statistical misconceptions' by S. W. Huck says this is a misconception people have.

... What is the parallel frame of reference for correlation coefficients? Under certain conditions, some correlational procedures produce correlation coefficients that must land on a continuum that extends from –1.0 to +1.0. Note, however, that the previous sentence began with the phrase “under certain conditions.”...

If a person thinks that correlation coefficients always end up on a continuum that extends from –1.00 to +1.00, he or she will be unable to judge accurately the relationship strength. What looks to be moderate may actually be strong. Worse yet, a correlation that makes a relationship look weak and meaningless may actually be as high as it can possibly be!

But from the book is not clear when a correlation, let's say of 0.5 would be a strong correlation. Could someone help clarify this to me?

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    $\begingroup$ Please see stats.stackexchange.com/… for one set of examples. Among the top hits there is the thread at stats.stackexchange.com/questions/82105 which explicitly answers your question in one context. $\endgroup$
    – whuber
    Jul 2, 2020 at 15:58
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    $\begingroup$ Sure, there are correlation-like measures that cannot vary over the entire interval $[-1, 1]$ and some correlation-like measures that can stray outside it.... But. I wouldn't say that the first sentence you quote describes a misconception; it is part of a definition! (I own the book in question but under lockdown cannot access my copy.) $\endgroup$
    – Nick Cox
    Jul 2, 2020 at 17:36
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    $\begingroup$ A strong correlation is one that experts in the field of the data agree to be strong. Sounds facetious, but strength is relative to what is possible, plausible and interesting. $\endgroup$
    – Nick Cox
    Jul 2, 2020 at 17:39
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    $\begingroup$ @whuber, thank you again for the great help as always. He proposes an exercise: statisticalmisconceptions.com/Instruct03a.html . I tried to organize the data to see what he means, I managed to get a r = -1 and r = ~0.83 , not r= +1. I think what he means is that with some data you can't get sometimes -1;+1, but a 0.83 wouldnt still be stronger than say 0.5 ? What puzzled me was the phrase "What looks to be moderate may actually be strong". $\endgroup$ Jul 2, 2020 at 20:06
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    $\begingroup$ @nick cox, thanks for the comments, I shared a link about an exercise of the misconception $\endgroup$ Jul 2, 2020 at 20:06

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