NUR 314: Final Exam Study Guide Practice Questions with Correct Answers.
When we have Pearson's correlation we know that we have two continuous variables They have met the assumption of normality (bc this is a parametric test) We're looking at correlation to see if there is a relationship between these two variables If you do not meet normality, or have variables that are measured on an ordinal scale (likert scale, pain scale, military rank, etc), then a non parametric equivalent would need to be ran Correct Answer What is Pearson's correlation? If you do not meet normality, or have variables that are measured on an ordinal scale (likert scale, pain scale, military rank, etc), then a non parametric equivalent would need to be ran Correct Answer What are the non-parametric tests for correlation? 2 Correct Answer How many non-parametric equivalents are there for Pearson's correlation? Spearman's Rho Kendall's Tau Correct Answer What are the non-parametric equivalents for Pearson's correlation? When we're looking at out output for correlation, we are going to first determine if there is a statistically significant relationship - If we do not have a statistically significant relationship (p value is greater than .05), there is no statistically significant relationship between those variables, and therefore we would fail to reject the null hypothesis. We would stop interpreting at this point. - If we do have a statistically significant relationship (p value is less than .05), therefore, we would reject the null hypothesis and continue interpreting. Once we find that there is a statistically significant relationship, we would look at the direction and strength of that correlation - Direction: correlation coefficient = r, if it is negative or positive then that is the direction - Strength: correlation coefficient = r, review table of data values that determines the strength of the coefficient Correct Answer How to read and interpret SPSS output and identifying SPSS output for significance, direction, and strength of the correlation? False Correct Answer True or False: Correlation equals causation No relationship Correct Answer What strength would a correlation coefficient of 0 - 0.1 be? Weak relationship Correct Answer What strength would a correlation coefficient of 0.1 - 0.3 be?
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when we have pearsons correlation we know that we have two continuous variables they have met the assumption of normality bc this is a parametric test