# Discussion: Correlation Coefficient Research Questions

## Discussion: Correlation Coefficient Research Questions

Discussion: Correlation Coefficient Research Questions ORDER NOW FOR CUSTOMIZED AND ORIGINAL ESSAY PAPERS ON Discussion: Correlation Coefficient Research Questions Explain the meaning of correlation coefficient using an example. Then, in your own words, explain the following correlation coefficients. Discussion: Correlation Coefficient Research Questions a. The relationship between intelligence and grade-point average was found to be .72. b. The correlation coefficient between age and gregariousness was ?.20. c. It was revealed that patients compliance with nursing instructions was related to their length of stay in the hospital ( r = ?.50). Requirements: APA 7 edition Chapter 14 must be read 400 500 words Require in text citations and references (including the book) part_of_the_chapter.docx nursing_research_textbook.p Chapter 14 (must be read) Measurement and Statistics Assessments of measurement properties require some statistical knowledge. In this chapter, we mainly describe principles rather than statistical details or computations and, in any event, estimates of measurement parameters are almost always done with statistical software. However, because several measurement properties rely on the calculation of a statistical index called a correlation coefficient, we must briefly introduce this index before proceeding. We have pointed out that researchers seek to detect and explain relationships among phenomena. For example, is there a relationship between patients gastric acidity levels and degree of stress? The correlation coefficient is a tool for quantitatively describing the magnitude and direction of a relationship between two variables. The most widely used correlation coefficient is called Pearsons r. Two variables that are obviously related are peoples height and weight. Tall people tend to be heavier than short people. We would say that there was a perfect relationship if the tallest person in a population were the heaviest, the second tallest person were the second heaviest, and so forth. Correlation coefficients summarize how perfect a relationship is. The possible values for a correlation coefficient range from ?1.00 through .00 to +1.00. If height and weight were perfectly correlated, the correlation coefficient expressing this relationship would be +1.00. Because the relationship exists but is not perfect, the correlation coefficient is in the vicinity of +.50 or +.60 (which would typically be written as .50 and .60). The relationship between height and weight is a positive relationship because increases in height tend to be associated with increases in weight. When two variables are totally unrelated, the correlation coefficient equals zero. Discussion: Correlation Coefficient Research Questions One might expect that womens height is unrelated to their intelligence. Tall women are as likely to perform well on IQ tests as short women. The correlation coefficient summarizing such a relationship would presumably be in the vicinity of .00. Correlation coefficients running from .00 to ?1.00 express inverse or negative relationships. When two variables are inversely related, increases in one variable are associated with decreases in the second variable. Suppose that there is an 548 inverse relationship between peoples age and the amount of sleep they get. This means that, on average, the older the person, the fewer the hours of sleep. If the relationship were perfect (e.g., if the oldest person in a population slept the fewest hours, and so on), the correlation coefficient would be ?1.00. In actuality, the relationship between age and sleep is probably modestin the vicinity of ?.15 or ?.20. A correlation coefficient of this magnitude describes a weak relationship: Discussion: Correlation Coefficient Research Questions Older people tend to sleep fewer hours and younger people tend to sleep more, but nevertheless, some younger people sleep few hours, and some older people sleep a lot. Correlation coefficients are important statistical tools in evaluating the quality of measuring instruments. 549 Discussion: Correlation Coefficient Research Questions Get a 10 % discount on an order above $ 100 Use the following coupon code : NURSING10

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