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Relevant bibliographies by topics / Pearson correlation coefficient (r)

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Journal articles

Academic literature on the topic 'Pearson correlation coefficient (r)'

Author: Grafiati

Published: 4 June 2021

Last updated: 10 February 2022

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Journal articles on the topic "Pearson correlation coefficient (r)"

1

Popa, Cosmin Octavian, and Adrian Rus. "The Correlation Between Personality Dimensions and Young People's Choice of a Medical Career." Acta Medica Marisiensis 62, no. 4 (2016): 395–99. http://dx.doi.org/10.1515/amma-2016-0052.

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AbstractObjective: The research assumes that there is a correlation between personality dimensions Extraversion and Conscientiousness which mean autonomy, ambition and consistency of purpose, self-efficacy and determination for young people who want to aspire to a medical career.Methods: In this study’s target group were included 130 students aspiring to a medical career, that participated in the summer school organized by UMF Tirgu-Mures in 2016, of which 25 (19%) male and 106 (81%) female, average overall age group being 17.23.Results: Within the female group, the Pearson cross-correlation c

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2

Lee, Juhyun, Andrew Phan, and Jing Gao. "Multiparametric Ultrasound to Assess Adult Carotid Arteries." Journal for Vascular Ultrasound 44, no. 3 (2020): 144–49. http://dx.doi.org/10.1177/1544316720927879.

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The aim of the study was to assess the value of multiparametric ultrasound in atherosclerotic cardiovascular disease risk screening of the carotid artery. We performed ultrasonography of carotid arteries in 96 adults in 3 age groups: senior (age ≥65 years, n = 44), middle age (age 45-64 years, n = 31), and young adults (age 20-44 years, n = 21). The senior group was then divided into subgroups: athletes (n = 21) and non-athletes (n = 23). Ultrasound parameters included carotid intima-media thickness, distensibility coefficient, and presence of plaque(s). Statistical analyses included one-way a

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3

Kader, Gary, and Christine Franklin. "The Evolution of Pearson's Correlation Coefficient." Mathematics Teacher 102, no. 4 (2008): 292–99. http://dx.doi.org/10.5951/mt.102.4.0292.

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Studying the relationship between two quantitative variables is a standard topic in statistics. In high school and introductory college-level statistics, Pearson's correlation coefficient, r, is typically included as a measure of the direction and strength of the linear relationship between two quantitative variables. This article describes an activity that aids an intuitive development of the formula for r and its interpretation. Exploring scatter plots allows students to develop an intermediate measure of association called the quadrant count ratio (QCR), investigate properties of the QCR, a

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4

Kader, Gary, and Christine Franklin. "The Evolution of Pearson's Correlation Coefficient." Mathematics Teacher 102, no. 4 (2008): 292–99. http://dx.doi.org/10.5951/mt.102.4.0292.

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Abstract:

Studying the relationship between two quantitative variables is a standard topic in statistics. In high school and introductory college-level statistics, Pearson's correlation coefficient, r, is typically included as a measure of the direction and strength of the linear relationship between two quantitative variables. This article describes an activity that aids an intuitive development of the formula for r and its interpretation. Exploring scatter plots allows students to develop an intermediate measure of association called the quadrant count ratio (QCR), investigate properties of the QCR, a

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5

Wang, X., B. Jiang, and J. S. Liu. "Generalized R-squared for detecting dependence." Biometrika 104, no. 1 (2017): 129–39. http://dx.doi.org/10.1093/biomet/asw071.

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SUMMARY Detecting dependence between two random variables is a fundamental problem. Although the Pearson correlation coefficient is effective for capturing linear dependence, it can be entirely powerless for detecting nonlinear and/or heteroscedastic patterns. We introduce a new measure, G-squared, to test whether two univariate random variables are independent and to measure the strength of their relationship. The G-squared statistic is almost identical to the square of the Pearson correlation coefficient, R-squared, for linear relationships with constant error variance, and has the intuitive

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6

Ferraro, Mark, Jennifer Hogan Demaio, Jennifer Krol, et al. "Assessing the Motor Status Score: A Scale for the Evaluation of Upper Limb Motor Outcomes in Patients after Stroke." Neurorehabilitation and Neural Repair 16, no. 3 (2002): 283–89. http://dx.doi.org/10.1177/154596830201600306.

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The Motor Status Scale (MSS) measures shoulder, elbow (maximum score = 40), wrist, hand, and finger movements (maximum score = 42), and expands the measurement of upper extremity impairment and disability provided by the Fugl-Meyer (FM) score. This work examines the interrater reliability and criterion validity of the MSS performed in patients admitted to a rehabilitation hospital 21 ± 4 days after stroke. Using the MSS and the FM, 7 occupational therapists masked to each other’s judgments, evaluated 12 consecutive patients with stroke. Two therapists evaluated 6 additional patients on consecu

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7

Koterov, A., L. Ushenkova, E. Zubenkova, et al. "Strength of Association. Report 2. Graduations of Correlation Size." Medical Radiology and radiation safety 64, no. 6 (2019): 12–24. http://dx.doi.org/10.12737/1024-6177-2019-64-6-12-24.

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Purpose: To summarize data on graduation of the effect size on the base of Hill’s first causality criterion ‘strength of association’ on the magnitude of the correlation coefficient (mainly Pearson r). Material and methods: Survey of published sources: monographs, handbooks, papers, educational material on statistics in various disciplines (including on-line), etc. (121 references; of which more than 20 textbooks on statistical methods and statistics in psychology and 8 textbooks on epidemiology). Results: Estimation of the strength of association by the correlation size is most co

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8

MASCARENHAS, Jean Márcia Oliveira, Rita de Cássia Ribeiro SILVA, Maria Ester Pereira Conceição MACHADO, Carlos Antonio de Souza Teles SANTOS, Dirce Maria Lobo MARCHIONI, and Maurício Lima BARRETO. "Validation of a food frequency questionnaire designed for adolescents in Salvador, Bahia, Brazil." Revista de Nutrição 29, no. 2 (2016): 163–71. http://dx.doi.org/10.1590/1678-98652016000200002.

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Objective: This study assessed the validity of a Food Frequency Questionnaire used to assess food intake in adolescents in Salvador, Bahia, Brazil. Methods: Seventy adolescents enrolled in public schools aged 11 to 17 years participated in this study. The dietary intake of the adolescents was assessed using the Food Frequency Questionnaire and the mean value of three-day food record, used as the reference method. The mean (and standard deviation) energy and nutrient intakes estimated from the Food Frequency Questionnaire and food records were calculated. The paired Student's t test was used to

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9

Sedhom, Ramy, Betty R. Ferrell, Nora Ruel, Marianna Koczywas, Vincent Chung, and Thomas J. Smith. "Validity of patient-reported outcomes to describe the symptom experience of patients enrolled on phase I clinical trials." Journal of Clinical Oncology 38, no. 15_suppl (2020): 12107. http://dx.doi.org/10.1200/jco.2020.38.15_suppl.12107.

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12107 Background: Symptoms are common among patients enrolled in phase I trials. To integrate the patient perspective, the National Cancer Institute developed a patient-reported outcomes version of the CTCAE (PRO-CTCAE) to capture symptomatic adverse events (AEs) directly from patients; however, the tool has not been used often in early phase trials or in palliative care studies. Our overall objective was to assess the validity of PRO-CTCAE items to previously validated assessments of quality of life (FACT-G) and psychological distress (Distress Thermometer). We utilized data from a randomized

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Olufikayo, Aderinlewo, and Ata Grace. "Risk perception factors and their influence on road transportation." Journal of Transport Literature 8, no. 2 (2014): 100–112. http://dx.doi.org/10.1590/s2238-10312014000200005.

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This study assesses risk in road transportation in Ekiti State, Nigeria through a number of factors as well as the various ways by which these factors are perceived through Pearson correlation analysis. Six roads were identified as case studies from which information about how the users perceived risk was obtained mainly by administering questionnaires. The responses to the 23 questions which were developed based on the risk factors were analyzed statistically to obtain their relationships in terms of their correlation coefficients and R-squared values. The most dominant risk factors with resp

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