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Thread: point-biserial correlation?

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    point-biserial correlation?




    Hi!

    I am doing my thesis about life-events (both positive and negative), social support and anxiety.

    I want to find out which types of negative life-events that are associated with anxiety. The negative life-events are nominal variables and anxiety are scale variable.

    First I did a pearson correlation with all items measuring negative life-events (nominal variable) and anxiety (scale variable), but this seems to be wrong? Is point-biserial correlation the correct analysis to do, in order to find out the association?

    Thank you in advance

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    Re: point-biserial correlation?

    Hi, the point-biserial correlation should be used if one of the two variables is dichotomous, the other is continuous. Does the negative-life-events-variable really have only two categories? And the anxiety variable is true continuous or rather ordinal?

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    Re: point-biserial correlation?

    Thank you for your answer!

    The life-event variable is either scored as positive or negative based on the score on the Likert-scale. The likert scale range from 1 = Very good to 6 very bad. In SPSS, scores from 1-3 are scored as positive events, whereas scores from 4-6 are scored as negative events.

    The anxiety scale is also scored on a Likert scale, were the total anxiety variable is a scale variable.

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    Re: point-biserial correlation?


    Hi,

    so you have two ordinal variables which you want to correlate. In this case, you could use the Spearman correlation coefficient or, alternatively, Kendall's tau.

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