Pearson product-moment correlation coefficient

SPSS Inc., Chicago, IL, USA). Data were expressed using descriptive statistic (mean ± standard deviation) and were analyzed. One-way analysis of variance (ANOVA) test was done to compare different parameters between more than two groups. Pearson correlation coefficient was used to assess the association between serum and urinary TNF-α levels, clinical, biochemical tests and other studied metabolic parameters in patients with diabetic nephropathy. P-values were considered significant if < 0.05).On the

Overall Accuracy of data should be identified by how close the Actual distances are to the estimated data. In terms of the linear regression graph indicates a Coefficient of determination R2= 0.8788. Which means that 87% percent of the variance in the estimated variables is predicted by the Actual variables. Furthermore, the Correlation Coefficient indicates a strong relationship (r= 0.9374) between the two variables. In other words, the linear regression indicates that there is strong

of gratitude and send thank-you notes to other deserving employees. A recent study by MarketTools Inc. for Globoforce confirms that a lack of sincere recognition provided to employees is a leading cause of turnover. The study identifies a solid correlation between the level of recognition delivered by managers and the loyalty of their direct reports (Sun). Thus, thank-you notes are cheap and simple yet sincere and an effective way of showing recognition to employees which will increase their loyalty

13-14 SEM1 Personnel Resourcing CASE: RETENTION MANAGEMENT Case requirements: 1. Conduct an analysis of information contained in Tanglewood employee satisfaction surveys and exit interviews to determine which factors are likely to lead to premature employee separations. 2. Use information provided in the case to determine if the turnover is functional or dysfunctional for Tanglewood as a whole 3. Suggest additional forms of information that Tanglewood might want to collect from their employees

In an attempt to look into ways to reduce attrition rates in nursing programs, we did a study to look into what non-academic factors can be investigated along with the current standard admission data. The research question of interest was “What non-academic characteristics of students can lead to best chance of success in nursing school?” Our sample included 115 students at a southern regional university’s school of nursing, who have already completed at least one semester of nursing school. The

Graph 2 shows the positive and consistent correlation between SAT scores and family income. This is also supported by the r2value .9582110109 found by Pearson’s Correlation Coefficient Formula. (This graph was created using Microsoft Excel.) Chi-Squared Chi-Squared is used to determine whether or not there is an independent or dependent relationship between two

Robert Emmons (2013) and his colleague did three experimental studies to see the relation between gratitude and SWB. In the first two studies the participants were college students, whereas in the third study, they had chosen adults suffering from hereditary and first stage of neuromuscular disease. The sample of first study consisted of 201 undergraduate participants (147 women, 54 men). They were a part of health psychology class in a university. These participants were divided in a group of three

Spearman's Rank Correlation Coefficient Review Spearman's rank correlation coefficient is a mathematic and statistics tool used to measure correlation or in other words, there is a number that reveals how closely related, two sets of different data can be associated and how closely related they are. This can only be used with information that can be put in rank order from highest to lowest. The Spearman's rank correlation coefficient is also used to determine whether the two variables are associated

In the article Creating social connection through inferential reproduction: Loneliness and perceived agency in gadgets, gods, and greyhounds by Epley, Akalis, Waytz & Cacioppo the researchers conducted three studies. The purpose of the studies were to examine if loneliness was significantly correlated with the anthropomorphic mental-state, if social disconnection increase belief in some religious agents or actions, and whether the likelihood of attributing humanlike mental states or traits to pets

were modest in magnitude due to small sample size and therefore resulted in a lower statistical power. They also a agreed that the two minute evaluation wasn’t long enough and suggested a few hours as sufficient to detect some sort of positive correlation. They also believed the controls implemented, “previous power and key sociodemographics held constant in the regression models”, may have led to the small magnitude between infant EEG power and maternal behaviors. These were the only limitations