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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

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    Statistical Analysis of Suicide Attempts and Deployment Status: Pearson, Spearman, and Regression Models Pearson 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 correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or - .2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect 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 and attempted suicide and its scale of measurement is nominal because both the variables are categorized into two or more categories. Correlations Deployment status Attempted suicide Deployment status Pearson Correlation 1 .346 Sig. (2 - tailed) .297 N 11 11 Attempted suicide Pearson Correlation .346 1 Sig. (2 - tailed) .297 N 11 11 Since the significant value is greater than 0.05, so we can say that there is a relationship between deployment staus and attempted suicide. First we apply Fisher’s transformation to the observed value of r . I shall use Greek zeta to symbolize the transformed r . 367 . 0 ) 735 . 0 )( 5 . 0 ( ) 494 . 3 ln( ) 5 . 0 ( 645 . 346 . 1 ln ) 5 . 0 ( 1 1 ln ) 5 . 0 (        r r  . We compute the standard error as 301 . 11 1 3 1     n SE r . Since r=0.346, so we can sa y 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 correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation

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