• Title/Summary/Keyword: Probability Item

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ANOVA of Satisfaction based on Navigation Location and Number of Items in Mobile Applications (모바일 어플리케이션의 네비게이션 위치와 항목 수에 따른 만족도에 대한 분산 분석)

  • Park Sung-Hum;Kim Tae-Wan
    • Journal of Service Research and Studies
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    • v.12 no.2
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    • pp.38-47
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    • 2022
  • The user interface is a very important factor in application usability. The user interface of a typical application has a navigation system and the selection of the item takes place to move the movement. In this study, we would like to see if there are differences in user satisfaction depending on the location of the navigation and the number of items. The methods of in this study, a random group of 135 adult men and women who randomly selected four to six items as independent variables was conducted on the top, bottom, side, and three locations of navigation in a typical application. As a result, the navigation system rejected the null hypothesis of 0.000 and 0.008 respectively, with a significant probability of 0.05 or less than 0.000 and 0.008, respectively. It was also confirmed that the study theory of whether the interaction of navigation location and number of items creates a difference in satisfaction was significant with a significant probability of 0.016. In the post-analysis (Schefe), there were significant differences in the position of navigation, as each group was classified as a new group at the top <bottom <, and in the number of items, there were significant differences between the two groups of six <4 . Conclusion of this research, depending on the results of some significant differences in satisfaction with the location of the navigation and the number of items, it can be seen that the satisfaction of the interface increases when the navigation position is located at the bottom. However, follow-up research is needed on whether side-type navigation is suitable for different mobile sizes.

The Effect of Visual and Hearing Impairment on Depression and Cognitive Function in Community-dwelling Elderly : The Korean Longitudinal Study of Aging 2008 (노인의 시력 및 청력 저하가 우울 및 인지기능에 미치는 영향: 2008년 고령화연구패널조사)

  • Kim, Hee-Jeong;Kim, Bo-Hye;Kim, Ok-Soo
    • Korean Journal of Adult Nursing
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    • v.23 no.6
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    • pp.584-594
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    • 2011
  • Purpose: The purpose of this study was to identify the prevalence of visual and hearing impairment and to investigate the effect of visual and hearing impairment on depression and cognitive function in community-dwelling Korean elderly. Methods: The study population consisted of a representative community sample of 4,028 persons aged 65 and older from the Korean Longitudinal Study of Aging 2008. Depression and cognitive function were measured by CES-D 10-item scale and K-MMSE. Visual and hearing impairment were measured by 5-Likert scale. Data were analyzed using Rao-Scott ${\chi}^2$-test, simple and multiple logistic regression. Results: The prevalence of visual and hearing impairment were 37.3% and 14.0%, respectively. Of the participants, the prevalence of depression was 58.4% and cognitive impairment was 50.6%. There were significant differences in depression and cognitive function according to visual and hearing impairment. Far vision and hearing impairment were predictors for both depression and cognitive impairment even after covariates had been adjusted. Conclusion: These data suggest that visual and hearing impairment in older adults may increase their probability of experiencing depression and cognitive impairment. Thus sensory impairment should be considered a risk factor for mental health and the cognitive function of elderly.

Design of a Multi-array CNN Model for Improving CTR Prediction (클릭률 예측 성능 향상을 위한 다중 배열 CNN 모형 설계)

  • Kim, Tae-Suk
    • The Journal of the Korea Contents Association
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    • v.20 no.3
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    • pp.267-274
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    • 2020
  • Click-through rate (CTR) prediction is an estimate of the probability that a user will click on a given item and plays an important role in determining strategies for maximizing online ad revenue. Recently, research has been performed to utilize CNN for CTR prediction. Since the CTR data does not have a meaningful order in terms of correlation, the CTR data may be arranged in any order. However, because CNN only learns local information limited by filter size, data arrays can have a significant impact on performance. In this paper, we propose a multi-array CNN model that generates a data array set that can extract all local feature information that CNN can collect, and learns features through individual CNN modules. Experimental results for large data sets show that the proposed model achieves a 22.6% synergy with RI in AUC compared to the existing CNN, and the proposed array generation method achieves 3.87% performance improvement over the random generation method.

Analysis of the Relations between Design Errors Detected during BIM-based Design Validation and their Impacts Using Logistic Regression (로지스틱 회귀분석을 이용한 BIM 설계 검토에 의하여 발견된 설계 오류와 그 영향도간의 관계 분석)

  • Won, Jong-Sung;Kim, Jae-Yeo
    • Journal of the Korea Institute of Building Construction
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    • v.17 no.6
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    • pp.535-544
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    • 2017
  • This paper analyzes the relations between design errors, prevented by building information modeling (BIM)-based design validation, and their impacts in order to identify critical consideration factors for implementing BIM-based design validation in architecture, engineering, and construction (AEC) projects. More than 800 design errors detected by BIM-based design validation in two BIM-based projects in South Korea are categorized according to their causes (illogical error, discrepancy, and missing item) and work types (structure, architecture, and mechanical, electrical, and plumbing (MEP)). The probabilistic relations among the independent variables, including the causes and work types of design errors, and the dependent variables, including the project delays, cost overruns, low quality, and rework generation that can be caused by these errors, are analyzed using logistic regression. The characteristics of each design error are analyzed by means of face-to-face interviews with practitioners. According to the results, the impacts of design error causes in predicting the probability values of project delays, cost overruns, low quality, and rework generation were statistically meaningful.

Effects of Activity Restriction on Depression and Quality of Life in Stroke Patients using Logistic Regression Analysis (로지스틱 회귀분석을 이용한 뇌졸중 환자의 활동제한이 우울증 및 삶의 질에 미치는 영향)

  • Lee, Do-Youn;Nam, Seung-Min
    • Journal of the Korean Society of Physical Medicine
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    • v.14 no.4
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    • pp.125-132
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    • 2019
  • PURPOSE: The aim of this study was to help physical therapists involved in rehabilitation in the direction of clinical intervention in the treatment of stroke patients by understanding how an activity restriction of stroke patients affects depression and the quality of life associated with health. METHODS: This study assessed 404 stroke patients from the Korean National Health and Nutritional Examination Survey. The subjects were divided into two categories: activity restriction and non-activity restriction. The variables used in this study were depression diagnosed by a doctor and EQ-5D, which evaluates the quality of life. Logistic regression analysis was used to calculate the odds ratios associations of activity restriction with depression and the quality of life in stroke patients. RESULTS: The diagnosis of depression with an activity restriction was 11.2%, while 4.8% of those with non-activity restrictions were diagnosed with depression (p<.05), and the EQ-5D index of was .68±.03, .88±.01(p<.05). The odds ratio for depression with an activity restriction was 3.37 (95% CI, 1.49-7.63) compared to the non-activity restriction. A statistically significant difference in the odds ratio was observed for each item in the EQ-5D. CONCLUSION: Activity restriction in stroke patients increases the probability of depression, and reduces the quality of life significantly. The treatment for stroke patients should be approached, taking psychological factors into account. In addition, rehabilitation programs that can be performed systematically and continuously are deemed necessary.

Deduction of Assessment Items about Applied Technologies in U-Eco City (U-Eco City 적용기술의 평가항목 도출)

  • Kim, Ji-Hyun;Kim, Ho-Kee
    • The Journal of the Korea Contents Association
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    • v.10 no.6
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    • pp.115-133
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    • 2010
  • For assessment of U-Eco City technologies, more concrete definition of those technologies are required. However, almost researches defined technologies as conceptually and even cannot include all of them. In this sense, the purpose of this study is to deduct assessing items for specifying applying priority of U-Eco City technologies. We performed the research by 3 steps. Firstly, we deduct assessing items of the technologies by researching their advance process. After then, we compensate the defect of those items through documentary research and made a periodic table about core technologies that can be useful for deducting long-term items. The assessing items what are deducted as a result of this study can be applied to the selection of technology, and will be useful to construct more objective and systematized U-Eco City. Furthermore, if assessment frame about technologies and services is developed from this research, it gives to us probability that standardized process of U-Eco City construction can be established.

Nonignorable Nonresponse Imputation and Rotation Group Bias Estimation on the Rotation Sample Survey (무시할 수 없는 무응답을 가지고 있는 교체표본조사에서의 무응답 대체와 교체그룹 편향 추정)

  • Choi, Bo-Seung;Kim, Dae-Young;Kim, Kee-Whan;Park, You-Sung
    • The Korean Journal of Applied Statistics
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    • v.21 no.3
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    • pp.361-375
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    • 2008
  • We propose proper methods to impute the item nonresponse in 4-8-4 rotation sample survey. We consider nonignorable nonresponse mechanism that can happen when survey deals with sensitive question (e.g. income, labor force). We utilize modeling imputation method based on Bayesian approach to avoid a boundary solution problem. We also estimate a interview time bias using imputed data and calculate cell expectation and marginal probability on fixed time after removing estimated bias. We compare the mean squared errors and bias between maximum likelihood method and Bayesian methods using simulation studies.

Effects of Activity Limitations on the Health-Related Quality of Life and Depression in Osteoarthritis Patients (골관절염 환자의 활동제한이 건강관련 삶의 질과 우울증에 미치는 영향)

  • Lee, Do-Youn;Nam, Seung-Min
    • Journal of the Korean Society of Physical Medicine
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    • v.15 no.3
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    • pp.109-116
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    • 2020
  • PURPOSE: The objective of this study was to provide a basis for the need to apply psychological factors-based rehabilitation programs to osteoarthritis patients by understanding how the limitations on the activities of osteoarthritis patients relate to the health-related quality of life and depression. METHODS: This study assessed 1,994 osteoarthritis patients from the 7th Korea National Health and Nutrition Examination Survey (KNHANES, 2016-2018). The subjects were divided into two categories: with activity limitation and without activity limitation. A Chi-square test and logistic regression analysis were conducted. RESULTS: The EQ-5D index of subjects with activity limitation was .84 ± .16, it was .94 ± .12 in those with no activity limitation (p < .05). The diagnosis of depression was 16.8% and; 8.3% in those with and without activity limitation, respectively (p < .05). There was a significant difference in the odds ratio for each item in the EQ-5D. Moreover, the odds ratio for depression with an activity limitation was 2.171 (1.512 - 3.118) compared with no activity limitation. CONCLUSION: The activity limitation of osteoarthritis patients reduces the health-related quality of life significantly and increases the probability of depression. Therefore, the treatment of osteoarthritis patients should be approached considering the psychological conditions. Moreover, early diagnosis of depressive symptoms is needed to prevent symptom deterioration and increase the compliance with rehabilitation therapy.

A Study on the Computer Application and Learning Model in the CAQC Education (CAQC교육에 있어서 컴퓨터 활용과 학습모델에 관한 연구 - 히스토그램을 중심으로 한 학습모델 -)

  • Choi Myung-Ho
    • Journal of Engineering Education Research
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    • v.3 no.2
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    • pp.3-13
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    • 2000
  • The paper has analyzed and summarized about the theoretical problem occurred in the CAQC, and has developed the learning model focused on the histogram as a case study. The range of study is to systematize the basic method of histogram generally used, and to make step by step procedures under the interactive relation with the improvement of the theory that must be added in case of the calculation by the aided of MS-Excel software. A histogram is the theory to understand the population distribution from which samples are extracted, so alternative methods are presented to estimate the population shape through an experiment and a practice. In order to enlarge the application area of the histogram in the factory, the theory of normal test, the criteria of process capability index and the probability calculation of PPM are added to the histogram. The learning model of CAQC education is proposed that is consistent with the target of histogram to control and search the cause of item defectives fast and correctly.

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The Study of National Assessment of Educational Achievement in Elementary Mathematics in 2001 (2001년도 국가수준의 초등학교 수학과 교육성취도 평가 연구)

  • 황혜정;한경혜
    • Education of Primary School Mathematics
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    • v.5 no.2
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    • pp.121-142
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    • 2001
  • The goal of the National Assessment of Educational Achievement(NAEA) 2001 was to affirm the accountability of school education, to scientifically manage and elevate the quality of education at the national level, and to articulate the final design of the NAEA. It was implemented on June 28th of the year 2001. The assessment frame for NAEA includes the achievement standards, the assessment standards, the instruction for the item development, and the grading policy for mathematics subject. Most of items are multiple-choice types, but the performance-based items should be at least thirty percent of the total items, also 30% in case of mathematics. Approximately 1% of students among entire population of the Grades 6 were randomly selected. Therefore, the finally sampled examines were 8023 at Grade 6. The result of the analysis of the NAEA revealed that Grade 6 students was labelled as ‘average’ level in general (Number and Operation: average, Geometric figures: average, Patterns and Functions: excellent, Measurements: average, Letters and Expressions: average, Probability and Statistics: average). The most characteristic finding was that except for Grade 6(its average is 69.92), most secondary students obtained low test scores and its average of each grade is below 50 out of 100. Especially, the scores on the performance-based items were by and large very low. This finding implies that Korean students are not familiar with the kind of test items which requires expression of ideas and feelings and they are rather familiar with the multiple-choice items. Another interesting finding was that the students in small towns and remote areas showed significantly low scores in all four skills compared with Seoul, metropolitan cities and medium and small cities. This may be attributed from the fact that the remote areas do not have equal learning environment with regard to social and cultural experience, supply of various teaching materials, extracurricular lessons which are directly related to teaching and learning. These findings may be utilized as a reliable resource fur improving curriculum and teaching and learning in Mathematics.

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