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Statistical Analysis of Suicide Attempts and Deployment Status: Pearson, Spearman, and Regression Models

Correlation study between military deployment and mental health outcomes

Anna Wilson
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Statistical Analysis of Suicide Attempts and Deployment Status: Pearson, Spearman, and RegressionModelsPearson Correlation. Identify two variables for which you could calculate a Pearson correlation coefficient.Describe the variables and their scale of measurement. Now, assume you conducted a Pearson correlationand came up with a significant positive or negative value. Create a mock r value (for example, .3 or-.2). Reportyour mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms ofeffect size and R2 while also taking into account the third variable problem and well as direction of causality.The two variables are attempted suicide and deployment status andattempted suicide and its scale ofmeasurement is nominal because both the variables are categorized into two or more categories.CorrelationsDeploymentstatusAttemptedsuicideDeployment statusPearson Correlation1.346Sig. (2-tailed).297N1111Attempted suicidePearson Correlation.3461Sig. (2-tailed).297N1111Since the significant value is greater than 0.05, so we can say that there is a relationship between deploymentstaus and attempted suicide.First we apply Fisher’s transformation to the observed value ofr. I shall use Greek zeta to symbolize thetransformedr.367.0)735.0)(5.0()494.3ln()5.0(645.346.1ln)5.0(11ln)5.0(rr. We compute thestandard error as301.11131nSEr.Since r=0.346, so we can say that it is medium effect size and its causality is medium.b. Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlationcoefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation

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Statistics

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