• Title/Summary/Keyword: Pearson correlation

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A Study of Elementary School Pupil's Knowledge and Attitude on Sex (초등학생의 성에 관한 지식과 태도 조사연구)

  • 이규영;강경석
    • Korean Journal of Health Education and Promotion
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    • v.20 no.2
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    • pp.197-216
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    • 2003
  • This study has been done in order to examine elementary school pupil's knowledge and attitudes on sex. The subjects of the study were 1904 elementary school pupils in the 5th and 6th grade of three elementary schools in Kyonggi-do, Korea. A guide book for the teachers on sexual education published by the Ministry of Education and Human Resources has been used as the tool for the study. Data analysis has been performed by using SPSS Win(l0.0) with mean, standard deviation, t-test, F-test(ANOVA), and Pearson's Correlation. The results show that the human relationship area showed the highest, next were physical development, sexual culture and sexual ethics, and the last were sex health and sexual psychology. The Pearson's correlation between each area of knowledge and attitude on sex show a significant correlation statistically in the level of p<.001 in all areas. When examined individually the highest correlation was demonstrated between physical development and sexual health and human relationship by r=.573, while it demonstrated only r=.265 the lowest between sexual ethics and physical development.

A Convergence Study on Disaster Awareness, Disaster Preparedness, and Ego-resilience of Nursing Students (간호학생의 재난인식, 재난준비도 및 자아탄력성에 관한 융합연구)

  • Park, Jeong-Eun
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.38-46
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    • 2019
  • This study was conducted to identify disaster awareness, disaster preparedness, and ego-resilience in the college of nursing students', and to analyze correlation between study variables. The study subjects were 300 nursing students in four universities in two cities. Data were collected between April 1 and April 30, 2019 using by completing structured self report questionnaires. Data were analyzed using T-test, ANOVA, Pearson's correlation coefficient using SPSS/WIN 22.0. In correlation analysis, significant positive correlations were found between disaster awareness, disaster preparedness, and ego-resilience. Therefore, we propose to develop convergence education programs to imp rove disaster awareness, disaster preparedness, and ego-resilience in order to improve competency related to disaster management of nursing students.

Comparison of postoperative paresthesia after sagittal split osteotomy among different fixation methods: a one year follow-up study

  • Tabrizi, Reza;Bakrani, Kousha;Bastami, Farshid
    • Journal of the Korean Association of Oral and Maxillofacial Surgeons
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    • v.45 no.4
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    • pp.215-219
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    • 2019
  • Objectives: Postoperative paresthesia is a common complication after sagittal split osteotomy (SSO). This study aimed to compare paresthesia among different fixation methods one year postoperative. Materials and Methods: This prospective cohort study assessed subjects in four groups: class II with miniplate fixation (Group 1), class II with three-screw fixation (Group 2), class III with miniplate fixation (Group 3), and class III with three-screw fixation (Group 4). Paresthesia was evaluated one year postoperative based on a 0-10 visual analogue scale. Pearson correlation was used to evaluate associations of age and mandibular movement with paresthesia. ANOVA was used to compare paresthesia among groups. Results: A total of 80 subjects were enrolled, with 20 subjects in each of the four groups. The Pearson correlation test demonstrated a significant correlation between mandibular movement and paresthesia (P=0.001). Comparison of paresthesia among the groups showed significant differences among groups 1 and 2, 2 and 3, and 3 and 4 (P<0.05). Conclusion: The three-screw fixation method led to more paresthesia one year postoperative compared with miniplate fixation. In addition, the magnitude of mandibular movement had a positive correlation with paresthesia.

Research of College Students Recognition for the Safety Management of Living and Laboratory (생활 및 실험실 안전관리에 대한 대학생의 인지도 조사)

  • Hong, Young-Ho
    • Fire Science and Engineering
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    • v.28 no.4
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    • pp.89-96
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    • 2014
  • The purpose of this study is to examine the awareness survey on the life and laboratory safety of the college students. For the research, data was collected from 442 students of health, engineering, fire fighting and food & cook department. Research tools were used SPSS win 19.0, the mean and standard deviation, t-test, Pearson's correlation coefficient was used. Comparing the life safety consciousness with laboratory safety consciousness, showed life safety awareness and safety laboratory has recognized the similarities (Pearson's correlation coefficient ${\chi}^2=296.456$, p < 0.001). Results of awareness survey to safety management, the safety awareness are difference with the type of respondents major subjects. This order was Food & Cook > Fire fighting > Health > Engineering department.

Highly Reliable Watermark Detection Algorithm using Statistical Decision Method in Wavelet Domain (웨이블릿 영역에서 통계적 판정법을 이용한 고신뢰 워터마크 검출 알고리즘)

  • 권성근;김병주;이석환;권기구;김영춘;권기룡;이건일
    • Journal of Korea Multimedia Society
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    • v.6 no.1
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    • pp.67-77
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    • 2003
  • Watermark detection has a crucial role in copyright protection and authentication for multimedia Because be the correlation -based algorithm which has widely been used in the watermark detection doesn't utilize the distributional characteristics of cover image to be marked, its performance is not optimum. So a new detection algorithm is proposed which is optimum for multiplicative watermark embedding. By relying on statistical decision method, the proposed method is derived according to the Bayes decision theory. Neyman Pearson criterion, and distribution of wavelet coefficients, thus Permitting to minimize the missed detection probability subject to a given false detection probability The superiority of the proposed method has been tested from a robustness perspective. The results confirm the superiority of the proposed technique over classical correlation -based method.

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The Biometry-Mendelian Controversy in the History of Statistics (생물측정학-멘델주의 논쟁에 대한 통계학사적 고찰)

  • Jo, Jae-Keun
    • Communications for Statistical Applications and Methods
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    • v.15 no.3
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    • pp.303-324
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    • 2008
  • From mid-1890's, biometricians and Mendelians debated over Darwin's evolutionary theory. Biologist W. Weldon and Mathematician K. Pearson were leaders of the biometric school and biologist W. Bateson led Mendelian school. In this paper topics of the controversy such as causation vs. correlation, frequency distribution are considered. And in relation to the tradition of British statistics, we consider the philosophy of Karl Pearson revealed in this debate. Besides many statistical methods and concepts by Karl Pearson, the newly born mathematical statistics got a new journal Biometrika, a department in university, and a school of researchers from this controversy.

Correlation between Colon Transit Time Test Value and Initial Maintenance Dose of Laxative in Children with Chronic Functional Constipation

  • Kim, Mock Ryeon;Park, Hye Won;Son, Jae Sung;Lee, Ran;Bae, Sun Hwan
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.19 no.3
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    • pp.186-192
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    • 2016
  • Purpose: To evaluate the correlation between colon transit time (CTT) test value and initial maintenance dose of polyethylene glycol (PEG) 4000 or lactulose. Methods: Of 415 children with chronic functional constipation, 190 were enrolled based on exclusion criteria using the CTT test, defecation diary, and clinical chart. The CTT test was performed with prior disimpaction. The laxative dose for maintenance was determined on the basis of the defecation diary and clinical chart. The Shapiro-Wilk test and Pearson's and Spearman's correlations were used for statistical analysis. Results: The overall group median value and interquartile range of the CTT test was 43.8 (31.8) hours. The average PEG 4000 dose for maintenance in the overall group was $0.68{\pm}0.18g/kg/d$; according to age, the dose was $0.73{\pm}0.16g/kg/d$ (<8 years), $0.53{\pm}0.12g/kg/d$ (8 to <12 years), and $0.36{\pm}0.05g/kg/d$ (12 to 15 years). The dose of lactulose was $1.99{\pm}0.43mL/kg/d$ (<8 years) or $1.26{\pm}0.25mL/kg/d$ (8 to <12 years). There was no significant correlation between CTT test value and initial dose of laxative, irrespective of the subgroup (encopresis, abnormal CTT test subtype) for either laxative. Even in the largest group (overall, n=109, younger than 8 years and on PEG 4000), the correlation was weak (Pearson's correlation coefficient [R]=0.268, p=0.005). Within the abnormal transit group, subgroup (n=73, younger than 8 years and on PEG 4000) correlation was weak (R=0.267, p=0.022). Conclusion: CTT test value cannot predict the initial maintenance dose of PEG 4000 or lactulose with linear correlation.

Correlation between Smartphone Addiction, Sleep Quality, and Depression in College Students (대학생의 스마트폰 중독, 수면의 질 및 우울과의 상관관계)

  • Jo, Nam-Hee;Lee, Ji-Hyun
    • Journal of Convergence for Information Technology
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    • v.9 no.11
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    • pp.202-211
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    • 2019
  • This study was conducted to identify the correlation between smartphone addiction, sleep quality, and depression in college students. The participants were 304 college students in G area. Data were collected using self-report questionnaires and data were analyzed by frequency, percent, mean, standard deviation, t-test, One way ANOVA and Pearson correlation coefficient. The results showed that there was a significant negative correlation between smartphone addiction and sleep quality, a significant positive correlation between smart addiction and depression, and a significant negative correlation between sleep quality and depression. Therefore, the results of this study can be used as a useful basic data when looking for education and program development strategies to improve and prevent smartphone addiction, sleep quality, and depression of college students. In addition, it is required to apply a systematic educational program considering this.

The Sleep Characteristics of Chronic Schizophrenia Patients with Insomnia in Community-based Mental Health Services (지역사회 정신보건 서비스를 이용하는 불면증을 동반한 만성 조현병 환자의 수면의 특징)

  • Hwang, Dong-Ki;Nam, Min;Lee, Yu-Jin G.
    • Sleep Medicine and Psychophysiology
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    • v.24 no.2
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    • pp.97-105
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    • 2017
  • Objectives: To evaluate sleep characteristics and factors associated with sleep disturbance in schizophrenia patients with concurrent active psychotic symptoms and insomnia. Methods: Schizophrenia patients with insomnia and active psychotic symptoms (n = 63) were recruited from community-based mental rehabilitative facilities. Sleep scales such as the Korean version of the Insomnia Severity Index (ISI-K) and the Korean Version of the Pittsburgh Sleep Quality Index (PSQI-K) were evaluated and those with ISI-K >15 were included in the study. Psychotic, anxiety and depressive symptoms were rated with the Brief Psychotic Rating Scale (BPRS), the Korean Version of the Anxiety Sensitivity Index (K-ASI), and the Korean Version of the Beck Depression Inventory-I (K-BDI), respectively. Pearson correlation analyses were performed between the sociodemographic data, ISI-K and PSQI-K. Multiple linear regression analysis was conducted to investigate the factors which affected the ISI-K and PSQI-K. Results: The mean ISI-K and PSQI-K scores were $18.1{\pm}2.6$ and $12.0{\pm}2.2$, respectively. Pearson correlation analysis showed a negative correlation between age of onset and ISI-K score and positive correlations between BRPS and PSQI-K scores and between K-ASI and both ISI-K and PSQI-K scores. Multiple regression analyses for both ISI-K and PSQI-K with K-ASI, age of onset, and BPRS as covariates revealed K-ASI as the only significant remaining factor. Conclusion: Our study suggests that anxiety symptoms are associated with insomnia symptoms in schizophrenia patients regardless of depressive or psychotic symptoms.

A Study on Prediction of Linear Relations Between Variables According to Working Characteristics Using Correlation Analysis

  • Kim, Seung Jae
    • International Journal of Internet, Broadcasting and Communication
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    • v.14 no.4
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    • pp.228-239
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    • 2022
  • Many countries around the world using ICT technologies have various technologies to keep pace with the 4th industrial revolution, and various algorithms and systems have been developed accordingly. Among them, many industries and researchers are investing in unmanned automation systems based on AI. At the time when new technology development and algorithms are developed, decision-making by big data analysis applied to AI systems must be equipped with more sophistication. We apply, Pearson's correlation analysis is applied to six independent variables to find out the job satisfaction that office workers feel according to their job characteristics. First, a correlation coefficient is obtained to find out the degree of correlation for each variable. Second, the presence or absence of correlation for each data is verified through hypothesis testing. Third, after visualization processing using the size of the correlation coefficient, the degree of correlation between data is investigated. Fourth, the degree of correlation between variables will be verified based on the correlation coefficient obtained through the experiment and the results of the hypothesis test