• Title/Summary/Keyword: 선별척도

Search Result 139, Processing Time 0.033 seconds

The Relationship between ADHD Traits and Game Addiction among High School Students: Focused on Mediating Effect of Hardiness and Emotional Use of Music (고등학생의 ADHD성향과 게임중독 간의 관계: 강인성과 정서적 음악사용의 매개효과를 중심으로)

  • Park, Alexander
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.8
    • /
    • pp.571-579
    • /
    • 2021
  • This study aims to identify the relationship between ADHD trait and game addiction among high school students, and to examine the double mediating model of hardiness and emotional use of music on that relationship. Participants were 254 male and female high school students. World Health Organization ADHD Self-Report Scale, Short Form of Hardiness Questionnaire, Use of Music Inventory, and Internet Gaming Use-Elicited Symptom Screen were used for this study. PROCESS Macro 3.5 Model 6 was used to analyse a double mediating effect. Results revealed that ADHD trait was negatively correlated with hardiness of high school students, and positively correlated with emotional use of music and game addiction. And, hardiness of high school students was positively correlated with emotional use of music and negatively correlated with game addiction, whereas emotional use of music was negatively correlated with game addiction. It was found that hardiness and emotional use of music were sequentially mediating ADHD trait and game addiction among high school students. These findings suggest that hardiness and emotional use of music play some special roles in the path in which adolescents' ADHD trait affects game addiction.

Study about the Correlation Analysis between the Level of Smartphone Overdependence and Depression for Life Care of High School Students (고등학생들의 라이프 케어를 위한 스마트폰 과의존과 우울과의 관련성 연구)

  • Son, Sung-Min
    • Journal of Korea Entertainment Industry Association
    • /
    • v.15 no.4
    • /
    • pp.309-315
    • /
    • 2021
  • Purpose of this study is to analyze the correlation between the level of smartphone overdependence and depression among the high school student. Study subjects were 50 high school student. The assessment of the level of smartphone overdependence was used by the smartphone overdependence scale for adolescents and the assessment of the level of depression was used by Korean ver. of patient health questionnaire-9. As the results, the positive correlation was showed between the level of smartphone overdependence and depression and the statistically significant difference was showed. It was found that the higher the level of smartphone overdependence among high school students, the higher the level of depression. The smartphone overdependence among high school students could contribute to increase the level of depression. Thus, based on these results of this study, it is necessary to consider to reduce the level of smartphone overdependence and depression among high school students and subsequent studies should be conducted to clarify the casual relationship and influences of the level of smartphone overdependence and depression among high school students.

Gardening Program As Cognitive Rehabilitation Program For Mild Cognitive Impairment (경도인지장애 재활프로그램으로의 가드닝 프로그램)

  • Hong, Kwang-pyo;Jin, Heyyoung;LEE, Hyukjae
    • The Journal of the Convergence on Culture Technology
    • /
    • v.8 no.2
    • /
    • pp.59-67
    • /
    • 2022
  • The main purpose of this study is to quantitatively grasp the effectiveness of the gardening program by conducting a gardening program to induce active activities of the elderly and to induce healing functions and social activities, and then observing the results before and after implementation. In order to achieve the purpose of the study, as a result of conducting 30 gardening programs for 20 elderly people at two elderly care facilities, the measure of depression was found to have an improvement effect as a practice-oriented program, and it was found to revitalize the elderly. In addition, it was found that the quality of life was improved by the gardening program, and it was found to be helpful in activating the brain.

The Impact of Chatbot Usage on Health Changes Among the Baby Boomer Generation Women (베이비부머 세대 여성의 챗봇 활용에 따른 건강변화)

  • Kim SangMi;Choi Hui Chul;Ahn Moo Eob
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.2
    • /
    • pp.349-356
    • /
    • 2024
  • By 2025, South Korea is expected to enter an ultra-aged society with the elderly comprising 20.6% of the population. We measured changes in health status before and after by the use of a "Cognition-Emotion Enhancement Chatbot Integrated Product" among Baby Boomer generation women. Fifty participants, proficient in smart device usage and willing to provide data, were selected from health communities in Seoul. After excluding some applicants, 43 Baby Boomer women were analyzed. Results revealed significant differences in post-chatbot use physical activity (43.5.21 ± 1310.39 MET) and depression levels (6.84 ± 3.53). Correlation between the two variables was not statistically significant. The findings suggest specific effects of the chatbot on physical activity and depression, emphasizing the need for future research with diverse health indicators.

A Regression-Model-based Method for Combining Interestingness Measures of Association Rule Mining (연관상품 추천을 위한 회귀분석모형 기반 연관 규칙 척도 결합기법)

  • Lee, Dongwon
    • Journal of Intelligence and Information Systems
    • /
    • v.23 no.1
    • /
    • pp.127-141
    • /
    • 2017
  • Advances in Internet technologies and the proliferation of mobile devices enabled consumers to approach a wide range of goods and services, while causing an adverse effect that they have hard time reaching their congenial items even if they devote much time to searching for them. Accordingly, businesses are using the recommender systems to provide tools for consumers to find the desired items more easily. Association Rule Mining (ARM) technology is advantageous to recommender systems in that ARM provides intuitive form of a rule with interestingness measures (support, confidence, and lift) describing the relationship between items. Given an item, its relevant items can be distinguished with the help of the measures that show the strength of relationship between items. Based on the strength, the most pertinent items can be chosen among other items and exposed to a given item's web page. However, the diversity of the measures may confuse which items are more recommendable. Given two rules, for example, one rule's support and confidence may not be concurrently superior to the other rule's. Such discrepancy of the measures in distinguishing one rule's superiority from other rules may cause difficulty in selecting proper items for recommendation. In addition, in an online environment where a web page or mobile screen can provide a limited number of recommendations that attract consumer interest, the prudent selection of items to be included in the list of recommendations is very important. The exposure of items of little interest may lead consumers to ignore the recommendations. Then, such consumers will possibly not pay attention to other forms of marketing activities. Therefore, the measures should be aligned with the probability of consumer's acceptance of recommendations. For this reason, this study proposes a model-based approach to combine those measures into one unified measure that can consistently determine the ranking of recommended items. A regression model was designed to describe how well the measures (independent variables; i.e., support, confidence, and lift) explain consumer's acceptance of recommendations (dependent variables, hit rate of recommended items). The model is intuitive to understand and easy to use in that the equation consists of the commonly used measures for ARM and can be used in the estimation of hit rates. The experiment using transaction data from one of the Korea's largest online shopping malls was conducted to show that the proposed model can improve the hit rates of recommendations. From the top of the list to 13th place, recommended items in the higher rakings from the proposed model show the higher hit rates than those from the competitive model's. The result shows that the proposed model's performance is superior to the competitive model's in online recommendation environment. In a web page, consumers are provided around ten recommendations with which the proposed model outperforms. Moreover, a mobile device cannot expose many items simultaneously due to its limited screen size. Therefore, the result shows that the newly devised recommendation technique is suitable for the mobile recommender systems. While this study has been conducted to cover the cross-selling in online shopping malls that handle merchandise, the proposed method can be expected to be applied in various situations under which association rules apply. For example, this model can be applied to medical diagnostic systems that predict candidate diseases from a patient's symptoms. To increase the efficiency of the model, additional variables will need to be considered for the elaboration of the model in future studies. For example, price can be a good candidate for an explanatory variable because it has a major impact on consumer purchase decisions. If the prices of recommended items are much higher than the items in which a consumer is interested, the consumer may hesitate to accept the recommendations.

A Model based Vocational Evaluation for People with Psychiatric Disabilities (정신장애인 직업재활모델과 직업평가 - 직업기능척도 개발을 위한 예비연구 -)

  • Lee, Seong-Gyu;Kim, Sang-Hee
    • Korean Journal of Social Welfare
    • /
    • v.54
    • /
    • pp.123-147
    • /
    • 2003
  • It is well known that one of essential features of psychiatric disability is vocational impairment. Since the year of 2000 when psychiatric disability was declared as one of disability categories in Korea, vocational rehabilitation programs have been actively administered. At this point, it is compelling that vocational evaluation serves as a means of screening out the most promising candidates, identifying their vocational deficits and strengths, designing the individualized vocational interventions, and evaluating vocational outcomes. Still, vocational evaluation for people with psychiatric disabilities has been more problematic than for any other group with disabilities. The authors argued that vocational evaluation for people with psychiatric disabilities should be based on a certain vocational rehabilitation model to address those problems. It is because there exists an indispensible relationship between the vocational rehabilitation model and vocational evaluation. In other words, the main purposes, measurement time points, and focus of vocational evaluation may depend on which of vocational rehabilitation models to make a choice of. In addition, the vocational rehab model(i.e., vocational readiness model or graduation model) underlying traditional vocational evaluation does not seem to work for people with psychiatric disabilities. Authors argued that accelerating model fits for psychiathric characteristics which are often unpredictable and turbulent. As a preliminary step of developing vocational functioning instrument incorporating the demand characteristics of the accelerating model, post-hoc analyses were done on data from a vocational functioning measure and the results were critically examined from viewpoints of accelerating model. For these purposes, discussions were made about a) general functioning of vocational evaluation, (b) relation between vocational rehabilitation model and vocational evaluation, (c) the reasons why the accelerating model is more appropriate to the characterstics of psychiatric clients than the graduation model, (d) post-hoc analytic results reviewed from viewpoints of accelerating model-based vocational evaluation This study is significant in that it attempted model-based, model-specific vocational evaluation as a preliminary step for developing vocational functioning assessment instruments ill future.

  • PDF

Selection of Optimal Variables for Clustering of Seoul using Genetic Algorithm (유전자 알고리즘을 이용한 서울시 군집화 최적 변수 선정)

  • Kim, Hyung Jin;Jung, Jae Hoon;Lee, Jung Bin;Kim, Sang Min;Heo, Joon
    • Journal of Korean Society for Geospatial Information Science
    • /
    • v.22 no.4
    • /
    • pp.175-181
    • /
    • 2014
  • Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.

Psycho-social Well-being of College Students depending on a Level of Internet Addiction (대학생의 인터넷 중독위험 정도에 따른 사회 심리적 건강)

  • Chung, Miyoung;Cho, Ok-Hee
    • The Journal of the Korea Contents Association
    • /
    • v.13 no.5
    • /
    • pp.366-376
    • /
    • 2013
  • This study aimed to compare Psycho-social Well-being depending on level of internet addiction and investigate the factors inducing internet addiction among 749 college students. The Internet Addiction Diagnosis Criterion Inventory was used to classify participants into two groups, Internet overuse and Internet normal use. The psychosocial well-being of each group was measured by hopelessness, idea of suicide, suicide attempt, stress, social isolation, and mental health. Data were analyzed using the t-test and $x^2$-test to compare general characteristics, level of internet addiction and psycho-social well-being between two groups(the overuse and normal use group). Moreover, logistic regression analysis was used to examine the factors inducing internet addiction. The results placed 82 people (10.9%) in the internet overuse group and 667 people(89.1%) in the internet normal use group. The internet overuse group showed higher level of hopelessness, idea of suicide, suicide attempt, stress, social isolation, and mental health scores than the internet normal use group. Therefore, people in the internet overuse group were more likely to have worse Psycho-social well-being. The results of this study recommend that the Internet overuse should be screened early because it can be useful in developing addiction prevention programs and then finally improving the psycho-social well-being.

Prevalence and Associated Risk Factors of Psychological Distress in Patients with Gastric Cancer (위암 환자의 디스트레스 유병률과 관련 위험 인자)

  • Jun, Chansoo;Min, Jung-Ah;Ma, Ji-Young;Song, Kyo Young;Lyoo, In Kyoon;Lee, Chang-Uk;Lee, Chul;Kim, Tae-Suk
    • Korean Journal of Psychosomatic Medicine
    • /
    • v.20 no.2
    • /
    • pp.82-90
    • /
    • 2012
  • Objectives : Though gastric cancer is one of the most common cancer in Korea, there have been few studies to explore psychological distress in gastric cancer. The purpose of this study was to investigate the prevalence and associated risk factors of psychological distress among patients with gastric cancer. Methods : With consecutive sampling, a total of 274 patients with gastric cancer who admitted to a cancer center in a general hospital were recruited and assessed on psychological distress using the Hospital Anxiety and Depression Scale(HADS). Sociodemographic and cancer-related clinical variables were also evaluated. Results : One hundred fifty-three(55.8%) patients with gastric cancer showed psychological distress. Logistic regression models revealed that having alcohol drinking experience[odds ratio(OR)=2.10, p=0,034] and low performance status(OR=2.40 p=0.002) were significantly associated with psychological distress in patients with gastric cancer. Conclusions : These findings indicate that approximately half of patients with gastric cancer suffered from psychological distress and having alcohol drinking experience and low performance status would be associated risk factors, suggesting the need for distress screening and psychosocial supportive care in patients with gastric cancer.

  • PDF

Risk Perception of the Firefighters Responsible for Nuclear Power Plants: Construct Validity (원자력발전소 화재에 대한 관할 지역 소방관의 위험인식: 측정도구의 개발과 타당화)

  • Choi, HaeYoun;Lee, SangKyu;Choi, Jong-An
    • Fire Science and Engineering
    • /
    • v.33 no.5
    • /
    • pp.94-102
    • /
    • 2019
  • As the importance of first responses for fire accidents has grown in the safety management of nuclear power plants, a systematic approach to measure firefighters' psychological states and competence is needed. The current study investigated the construct of the risk perception of the firefighters working near nuclear power plant sites, and then developed and validated a new scale to measure firefighters' risk perception regarding nuclear power plant accidents. The scale items were developed on the basis of literature review and interviews with the firefighters working near nuclear power plant sites. In order to validate the new scale, we recruited 180 firefighters from five fire stations in the vicinity of the nuclear power plants in Jeonnam Province, Gyeongbuk Province, and Busan. The results of exploratory factor analyses revealed that the scale consisted of five factors: "manual" reflecting a lack of response guidelines and manuals for fire incidents and radioactive material release; "fear" reflecting a fear of fire incidents in the nuclear power plants and their catastrophic consequences; "resource" reflecting a lack of protective equipment and manpower for responding to fire incidents in the nuclear power plants; "trust" reflecting trust and cooperation with the counterpart institutions for firefighting in the nuclear power plants; and "knowledge" reflecting the knowledge of radioactivity and firefighting in the nuclear power plants. Further analyses provided statistical evidence supporting for the 15-item scale's internal consistency and construct validity. Finally, We discussed the implication and limitations of the current research.