Value of r2 in Statistical Analysis by Pearson Correlation Coefficient

This article examines emotional intelligence and its relationship with leadership, one of the most striking, unusual phenomena in modern psychological science. Emotional intelligence and leadership skills are important for students, as this affects such important aspects of the personality as future life, professional orientation, and the communication field. The article is based on the works of Daniel Goleman on the relationship between emotional intelligence and a person's desire to achieve their goals and is devoted to the study of these theories on the example of students in Kazakhstan. The article provides a scientific overview of the concepts of leadership and emotional intelligence in general and presents the results of empirical research conducted using special techniques. The Pearson correlation coefficient was used for summing up the results of the study and mathematical and statistical analysis of the relationship. The experimental part of this work is of practical value.

Download Full-text

Academic Boredom in the Light of some Variables of Academically Excellent Intermediate Stage Students

Journal of College of Education for Women ◽

10.36231/coedw.v31i4.1443 ◽

2020 ◽

Vol 31 (4) ◽

pp. 181-197

Author(s):

Zahra Saad Al- Abboudi ◽

Intisar Kamal Al-Anni

Keyword(s):

Statistical Analysis ◽

Psychometric Properties ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Intermediate Stage ◽

Pearson Correlation Coefficient ◽

Negative Effects ◽

The Third ◽

Medium Level ◽

Low Efficiency

Academic boredom is one of the most emotional problems that arouse an individual's fatigueness and lowers his interest. This is because of the environment's low efficiency and of spending long monotonous time. This state is characterized by having lack of interest, difficulties in concentration, and the desire to leave the class. It is considered one of the most prominent forms of boredom widespread among students and the most severe and dangerous one that has negative effects and severe psychological and social problems. The current research aims to investigate a randomly selected sample of 335 students from the first and third grades at the directorates of education (Karkh and Rusafa) who suffers from academic boredom. Similarily, a statistical analysis sample of (350) students was selected. The researchers constructed the academic boredom scale, and then ensured its psychometric properties (Validity, Reliability, Discrimination). Furthermore, they used some statistical means, t-test for one and two Independent samples, and Pearson correlation coefficient. Results have shown that the study sample suffers from academic boredom at a low level. There are no significant differences at the level (0.05) on the scale of academic boredom according to the gender variable (male-female). There are statistically significant differences at the level (0.05) on the scale of academic boredom according to the grade variable (first and third grades) at a medium level and in favor of the third grade.

Download Full-text

Relationship between the Altman Z-Score and Quick Kralicek Test in Assessing Economic Units

European Journal of Economics and Business Studies ◽

10.26417/ejes.v3i1.p20-26 ◽

2015 ◽

Vol 3 (1) ◽

pp. 20

Author(s):

Antoneta Polo ◽

Christos Ladias ◽

Enkela Caca

Keyword(s):

Statistical Analysis ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Pearson Correlation Coefficient ◽

Z Score ◽

Financial Situation ◽

Economic Unit ◽

Quick Test ◽

Financial Position ◽

The Future

The existence of the crisis makes obvious the fact of predicting the financial position in which will be found an economic unit in the future. This constitutes one of the most important tasks of analysts. Altman Z-Score andQuick Test Kralicek are two very important cumulative indicators, on the basis of which, the analyst is able to give a judgment on the financial situation in which an economic unit is, as regard to the risk of bankruptcy (Altman Z -Score) and difficulty paying (Quick Test Kralicek). By analyzing these two indicators, it was foundthat they are connected with each other and lead us to the same conclusion for entities taken as a sample in this study. Through a statistical analysis (Pearson correlation coefficient) will be shown this connection and the conclusions derived from this analysis. Predicting in time unsatisfactory situations avoids the risk of bankruptcy, which is so much evident nowadays.

Download Full-text

On the Psychological Reality of the Pearson Correlation Coefficient: Effects of Objective Covariation on Subjective Estimates

PsycEXTRA Dataset ◽

10.1037/e537052012-416 ◽

2004 ◽

Author(s):

Richard B. Anderson ◽

Andrea M. Angott ◽

Michael E. Doherty

Keyword(s):

Correlation Coefficient ◽

Pearson Correlation ◽

Pearson Correlation Coefficient ◽

Psychological Reality ◽

Subjective Estimates

Download Full-text

Relationship between Invasive and Non-Invasive Hemodynamic Measures in Experimental Pulmonary Hypertension

Current Respiratory Medicine Reviews ◽

10.2174/1573398x16666200516180118 ◽

2020 ◽

Vol 16 (1) ◽

pp. 47-53

Author(s):

Vicente Benavides-Córdoba ◽

Mauricio Palacios Gómez

Keyword(s):

Heart Rate ◽

Pulmonary Hypertension ◽

Ejection Fraction ◽

Right Ventricle ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Systolic Pressure ◽

Control Group ◽

Pearson Correlation Coefficient ◽

Non Invasive

Introduction: Animal models have been used to understand the pathophysiology of pulmonary hypertension, to describe the mechanisms of action and to evaluate promising active ingredients. The monocrotaline-induced pulmonary hypertension model is the most used animal model. In this model, invasive and non-invasive hemodynamic variables that resemble human measurements have been used. Aim: To define if non-invasive variables can predict hemodynamic measures in the monocrotaline-induced pulmonary hypertension model. Materials and Methods: Twenty 6-week old male Wistar rats weighing between 250-300g from the bioterium of the Universidad del Valle (Cali - Colombia) were used in order to establish that the relationships between invasive and non-invasive variables are sustained in different conditions (healthy, hypertrophy and treated). The animals were organized into three groups, a control group who was given 0.9% saline solution subcutaneously (sc), a group with pulmonary hypertension induced with a single subcutaneous dose of Monocrotaline 30 mg/kg, and a group with pulmonary hypertension with 30 mg/kg of monocrotaline treated with Sildenafil. Right ventricle ejection fraction, heart rate, right ventricle systolic pressure and the extent of hypertrophy were measured. The functional relation between any two variables was evaluated by the Pearson correlation coefficient. Results: It was found that all correlations were statistically significant (p <0.01). The strongest correlation was the inverse one between the RVEF and the Fulton index (r = -0.82). The Fulton index also had a strong correlation with the RVSP (r = 0.79). The Pearson correlation coefficient between the RVEF and the RVSP was -0.81, meaning that the higher the systolic pressure in the right ventricle, the lower the ejection fraction value. Heart rate was significantly correlated to the other three variables studied, although with relatively low correlation. Conclusion: The correlations obtained in this study indicate that the parameters evaluated in the research related to experimental pulmonary hypertension correlate adequately and that the measurements that are currently made are adequate and consistent with each other, that is, they have good predictive capacity.

Download Full-text

Bed-Based Ballistocardiography: Dataset and Ability to Track Cardiovascular Parameters

Sensors ◽

10.3390/s21010156 ◽

2020 ◽

Vol 21 (1) ◽

pp. 156

Author(s):

Charles Carlson ◽

Vanessa-Rose Turpin ◽

Ahmad Suliman ◽

Carl Ade ◽

Steve Warren ◽

...

Keyword(s):

Blood Pressure ◽

Stroke Volume ◽

Systolic Blood Pressure ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Health Assessment ◽

Initial Study ◽

Pearson Correlation Coefficient ◽

Medical Systems ◽

Cardiovascular Parameters

Background: The goal of this work was to create a sharable dataset of heart-driven signals, including ballistocardiograms (BCGs) and time-aligned electrocardiograms (ECGs), photoplethysmograms (PPGs), and blood pressure waveforms. Methods: A custom, bed-based ballistocardiographic system is described in detail. Affiliated cardiopulmonary signals are acquired using a GE Datex CardioCap 5 patient monitor (which collects ECG and PPG data) and a Finapres Medical Systems Finometer PRO (which provides continuous reconstructed brachial artery pressure waveforms and derived cardiovascular parameters). Results: Data were collected from 40 participants, 4 of whom had been or were currently diagnosed with a heart condition at the time they enrolled in the study. An investigation revealed that features extracted from a BCG could be used to track changes in systolic blood pressure (Pearson correlation coefficient of 0.54 +/− 0.15), dP/dtmax (Pearson correlation coefficient of 0.51 +/− 0.18), and stroke volume (Pearson correlation coefficient of 0.54 +/− 0.17). Conclusion: A collection of synchronized, heart-driven signals, including BCGs, ECGs, PPGs, and blood pressure waveforms, was acquired and made publicly available. An initial study indicated that bed-based ballistocardiography can be used to track beat-to-beat changes in systolic blood pressure and stroke volume. Significance: To the best of the authors’ knowledge, no other database that includes time-aligned ECG, PPG, BCG, and continuous blood pressure data is available to the public. This dataset could be used by other researchers for algorithm testing and development in this fast-growing field of health assessment, without requiring these individuals to invest considerable time and resources into hardware development and data collection.

Download Full-text

Assessment of the Dissimilarities of EDI and SPI Measures for Drought Determination in South Africa

Water ◽

10.3390/w13010082 ◽

2021 ◽

Vol 13 (1) ◽

pp. 82

Author(s):

Omolola M. Adisa ◽

Muthoni Masinde ◽

Joel O. Botai

Keyword(s):

South Africa ◽

South African ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Standardized Precipitation Index ◽

Drought Monitoring ◽

Drought Indices ◽

Drought Severity ◽

Pearson Correlation Coefficient ◽

Drought Duration

This study examines the (dis)similarity of two commonly used indices Standardized Precipitation Index (SPI) computed over accumulation periods 1-month, 3-month, 6-month, and 12-month (hereafter SPI-1, SPI-3, SPI-6, and SPI-12, respectively) and Effective Drought Index (EDI). The analysis is based on two drought monitoring indicators (derived from SPI and EDI), namely, the Drought Duration (DD) and Drought Severity (DS) across the 93 South African Weather Service’s delineated rainfall districts over South Africa from 1980 to 2019. In the study, the Pearson correlation coefficient dissimilarity and periodogram dissimilarity estimates were used. The results indicate a positive correlation for the Pearson correlation coefficient dissimilarity and a positive value for periodogram of dissimilarity in both the DD and DS. With the Pearson correlation coefficient dissimilarity, the study demonstrates that the values of the SPI-1/EDI pair and the SPI-3/EDI pair exhibit the highest similar values for DD, while the SPI-6/EDI pair shows the highest similar values for DS. Moreover, dissimilarities are more obvious in SPI-12/EDI pair for DD and DS. When a periodogram of dissimilarity is used, the values of the SPI-1/EDI pair and SPI-6/EDI pair exhibit the highest similar values for DD, while SPI-1/EDI displayed the highest similar values for DS. Overall, the two measures show that the highest similarity is obtained in the SPI-1/EDI pair for DS. The results obtainable in this study contribute towards an in-depth knowledge of deviation between the EDI and SPI values for South Africa, depicting that these two drought indices values are replaceable in some rainfall districts of South Africa for drought monitoring and prediction, and this is a step towards the selection of the appropriate drought indices.

Download Full-text

Fault Detection and Location Method for Mesh-type DC Microgrid using Pearson Correlation Coefficient

IEEE Transactions on Power Delivery ◽

10.1109/tpwrd.2020.3008924 ◽

2020 ◽

pp. 1-1 ◽

Cited By ~ 1

Author(s):

Liang Kong ◽

Heng Nian

Keyword(s):

Fault Detection ◽

Correlation Coefficient ◽

Pearson Correlation ◽

Pearson Correlation Coefficient ◽

Dc Microgrid ◽

Location Method

Download Full-text

Use of Multiple Visits to Increase Blood Pressure Tracking Correlations in Childhood

PEDIATRICS ◽

10.1542/peds.87.5.708 ◽

1991 ◽

Vol 87 (5) ◽

pp. 708-711

Author(s):

Matthew W. Gillman ◽

Bernard Rosner ◽

Denis A. Evans ◽

Laurel A. Smith ◽

James O. Taylor ◽

...

Keyword(s):

Blood Pressure ◽

Diastolic Blood Pressure ◽

Correlation Coefficient ◽

Diastolic Pressure ◽

Pearson Correlation ◽

Systolic Pressure ◽

Pearson Correlation Coefficient ◽

Increase Blood Pressure ◽

Multiple Visit

Previous studies of childhood blood pressure have shown tracking correlations, which estimate the magnitude of association between initial and subsequent measurements, to be lower than corresponding adult values. Inasmuch as this disparity could arise from failing to account for a larger week-to-week variability in children, blood pressure was measured for 4 successive years, on four weekly visits in each year, and with three measurements at each visit, using a random-zero sphygmomanometer, in a cohort of 333 schoolchildren aged 8 through 15 at entry. Ninety percent of subjects had measurements in 1 or more years of follow-up. For all follow-up periods (1, 2, and 3 years from baseline), the Pearson correlation coefficient (r) for both systolic and diastolic blood pressure rose substantially with the number of weekly visits used to calculate each subject's yearly blood pressure (P < .0001). For systolic pressure, the 3-year r values for 1, 2, 3, and 4 visits were .45, .55, .64, and .69, respectively. For diastolic pressure (Korotkoff phase 4), the corresponding values were .28, .41, .47, and .54. These higher multiple-visit estimates of tracking approximate published adult values and raise the possibility that prediction of adult blood pressure from childhood measurements may be improved by averaging readings from multiple weekly visits.

Download Full-text