• 제목/요약/키워드: Multiple-Linear-Regression

검색결과 1,745건 처리시간 0.026초

The Impacts of Threat Emotions and Price on Indonesians' Smartphone Purchasing Decisions

  • PRADANA, Mahir;WISNU, Aditya
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권2호
    • /
    • pp.1017-1023
    • /
    • 2021
  • This research aims to determine the effect of customers' threat emotion and price on the decision to purchase a certain smartphone product. This study uses a quantitative method with a type of descriptive and causal research. It employs non-probability sampling with purposive sampling, with 385 respondents to answer the questionnaires. Data analysis techniques used descriptive analysis and multiple linear regression analysis. Based on the results of descriptive analysis of emotion, price and purchasing decisions are in sync with each other. The results of multiple linear regression analysis techniques indicate the threat emotion and brand trust are influential against the positive decision to purchase smartphone products. The magnitude of the influence of emotions and price have simultaneous effect on purchasing decisions and other decision variables, which are not included in this study, also play minor role in determining purchase intention, such as product quality, brand image and others. Partially, threat emotion and brand trust have a positive effect toward purchasing decisions. The magnitude of the highest influence was the one of price, then followed by emotional threats. The findings of this study suggest that psychological and behavioral effects also play important roles in determining customers' purchase decision.

Analysis of Indonesian Rubber Export Supply for 1995-2015

  • MULYANI, Mulyani;KUSNANDAR, Kusnandar;ANTRIYANDARTI, Ernoiz
    • The Journal of Asian Finance, Economics and Business
    • /
    • 제8권1호
    • /
    • pp.93-102
    • /
    • 2021
  • This study aims is to determine the factors that influence Indonesian rubber export supply based on the export destination countries. Indonesian rubber export supply is thought to be influenced by the variables like the volume of Indonesia rubber exports, the price of Indonesian natural rubber, the volume of domestic rubber production, the export volume of the previous period, the rupiah exchange rate against US$, the interest rate and real Gross Domestic Product (GDP). The data used is the annual time series from 1995-2015 based on export countries encompassing the United States, China, and Japan. Multiple linear regression with the Ordinary Least Square (OLS) method is applied to analyse the data. The results showed that the volume of Indonesian rubber exports to China is not influenced by domestic natural rubber prices and the Rupiah exchange rate against the Chinese Yuan. The volume of Indonesian rubber exports to Japan is influenced by the volume of domestic rubber production. The volume of Indonesian rubber exports to the three destination countries is influenced by the volume of domestic rubber production, interest rate, and real GDP.

만성질환자의 의사결정에 대한 자율성 선호도에 관한 연구 (A Study of Autonomy Preference on Decision-making among Patients with Chronic Disease)

  • 안보미;이지애
    • 한국콘텐츠학회논문지
    • /
    • 제21권2호
    • /
    • pp.236-247
    • /
    • 2021
  • 본 연구의 목적은 만성질환자의 건강 관련 의사결정에 대한 자율성 선호도에 영향을 미치는 요인을 확인하기 위함이다. 대상자는 일개 보건소에 등록된 만성질환자 522명이다. 수집된 자료는 SPSS Win 26.0 ver. 프로그램을 이용하여 기술통계, t-test, ANOVA, Scheffe-test, Pearson's correlation coefficients, multiple linear regression으로 분석하였다. 연구결과, 만성질환자의 일반적 의사결정 선호도의 영향요인은 건강에 대한 관심정도(β=-.17, p<.001)이었으며. 정보추구 선호도의 영향요인은 성별(β=-.20, p<.001)과 진료 시 질문하는 횟수(β=.09, p=.030)이었다. 본 연구는 만성질환자들이 본인의 치료 과정에서 주도적으로 역할을 할 수 있도록 환자의 특성을 고려해야 하며, 환자의 주도적이고 효율적인 의사결정을 돕기 위하여 의료인의 효과적인 의사소통 전략 수립이 필요함을 시사한다.

Water quality big data analysis of the river basin with artificial intelligence ADV monitoring

  • Chen, ZY;Meng, Yahui;Wang, Ruei-yuan;Chen, Timothy
    • Membrane and Water Treatment
    • /
    • 제13권5호
    • /
    • pp.219-225
    • /
    • 2022
  • 5th Assessment Report of the Intergovernmental Panel on Climate Change Weather (AR5) predicts that recent severe hydrological events will affect the quality of water and increase water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed, and solar radiation) were compiled into a representative concentration curve (RC), defined using 8.5. AR5 and future use are calculated based on land use. Semi-distributed emission model Calculate emissions for each target period. Meteorological factors affecting water quality (precipitation, temperature, and flow) were input into a multiple linear regression (MLR) model and an artificial neural network (ANN) to analyze the data. Extensive experimental studies of flow properties have been carried out. In addition, an Acoustic Doppler Velocity (ADV) device was used to monitor the flow of a large open channel connection in a wastewater treatment plant in Ho Chi Minh City. Observations were made along different streams at different locations and at different depths. Analysis of measurement data shows average speed profile, aspect ratio, vertical position Measure, and ratio the vertical to bottom distance for maximum speed and water depth. This result indicates that the transport effect of the compound was considered when preparing the hazard analysis.

간호·간병통합서비스 병동 간호사의 전문직 자아개념, 간호근무환경 및 팀워크가 직무만족에 미치는 영향 (The Influence of Professional Self-Concept, Nursing Work Environment, and Teamwork on Job Satisfaction of Nurses in Comprehensive Nursing Care Ward)

  • 이정화;정희자
    • 문화기술의 융합
    • /
    • 제8권2호
    • /
    • pp.149-155
    • /
    • 2022
  • 본 연구는 간호·간병통합서비스 병동 간호사의 직무만족의 영향요인을 파악하기 위해 시도한 서술적 조사연구이다. 연구대상자는 간호·간병통합서비스 병동 근무 간호사 114명이였으며, 수집된 자료는 기술통계, t-test, ANOVA, Pearson's correlation coefficients, multiple linear regression analysis을 이용하여 분석하였다. 연구결과 직무만족의 주요 영향요인은 전문직 자아개념 및 팀워크로 나타났으며, 직무만족에 대한 두 변수의 설명력은 66.0%로 나타났다. 따라서 간호·간병통합서비스 병동 간호사의 직무만족을 높이기 위해서는 전문직 자아개념과 간호 조직의 팀워크를 향상시킬 수 있는 교육과 정책적 지원이 필요할 것으로 생각된다.

The Effect of Working-hour Characteristics and Health Status of Nurses on Work-life Balance: Using the 5th Korean Working Conditions Survey

  • Cho, Eunjeong;Ju, Jieun;Oh, Booyoung
    • Journal of Korean Biological Nursing Science
    • /
    • 제24권4호
    • /
    • pp.209-218
    • /
    • 2022
  • Purpose: This study aimed to investigate the relationships between the characteristics of nurses' work schedules, health outcomes, and work-life balance. Methods: This was a secondary data analysis that included 422 nurses in Korean hospitals. Descriptive analysis, independent sample t-test, one-way ANOVA, Pearson correlation analysis, and multiple linear regression analysis were used to identify the associated factors. Results: Multiple linear regression analysis showed that work-life balance was lower when atypical work was performed (β=-.14, p=.010). Nurses who did not work overtime showed a higher level of work-life balance than those who worked overtime infrequently (β=-.11, p=.002) or frequently (β=-.28, p<.001). The work-life balance level increased when nurses had better subjective health status (β=.16, p<.001) or higher sleep quality (β=.29, p<.001). It was verified that the work-life balance level was higher for single-person households than for households with two (β=-.18, p=.003), three to four (β=-.16, p=.022), or five or more (β=-.21, p<.001) persons. Conclusion: This study suggests that government and hospital organizations should provide high-quality care and consideration to nurses who do atypical or overtime work as well as their subjective health status and sleep quality. Further research should focus on the development of a policy that improves the work-life balance of nurses, especially for those who work during atypical hours.

Determinants of Green Total Factor Productivity of Agricultural Sector in Indonesia, 1980-2018

  • Ahmad Satria IRMANTO;Siskarossa Ika OKTORA
    • Asian Journal of Business Environment
    • /
    • 제13권2호
    • /
    • pp.21-28
    • /
    • 2023
  • Purpose: This study aims to analyze the determinants of Green Total Factor Productivity (Green TFP) growth in the agricultural sector in Indonesia from 1980-2018. Research design, data, and methodology: The growth of Green TFP in the agricultural sector is calculated using the Growth Accounting Method. Moreover, this study uses multiple linear regression to analyze the determinants of the growth of Green TFP in the agricultural sector in Indonesia. Results: The survey results show that the average growth of Green TFP in the agricultural sector in Indonesia is still negative, which indicates that the efficiency of production factor or mastery of technology is still low. Inflation and patent applications are variables that significantly affect the growth of Green TFP in the agricultural sector, where the inflation variable has a negative effect. In contrast, the variable growth of patent applications has a positive impact. Conclusions: The government needs to continue to improve efficiency by organizing various programs related to increasing mastery of technology in the agricultural sector. The government also needs to advance research and development by promoting patents to become research incentives and impact the improvement of new technologies, especially those related to the environment. Moreover, economic stability needs to be maintained through inflation control.

재가방문 치매 요양보호사의 근무환경이 인간중심돌봄에 미치는 영향 (The Influence of Working Environment on Person-centered Care in Home Care Visiting Dementia Caregivers)

  • 장두남;유정옥
    • 한국직업건강간호학회지
    • /
    • 제32권4호
    • /
    • pp.174-184
    • /
    • 2023
  • Purpose: The purpose of this study was to examine the impact of the working environment on person-centered care for home visiting dementia caregivers. Methods: Participants in this study were 146 caregivers, with the least 6 months of experience working at visiting care centers in Busan, and used a total of 133 questionnaires suitable for analysis. Data were collected from June 9 to July 20, 2023, and were analyzed using descriptive statistics, t-test, ANOVA, pearson's correlation coefficients, and multiple linear regression using IBM/SPSS 27.0. Results: As a result of multiple linear regression analysis, organizational factors (β=-.37, p<.001), job-related factors (β=-.27, p=.001), and religion (β=.18, p<.013) were factors affecting person-centered care of home visiting dementia caregivers, and working environment explained 37% (F=10.63, p<.001) of person-centered care. Conclusion: Based on the results of this study, the exploration of strategies to improve the working environment will be necessary in order to increase person-centered care for home visiting dementia caregivers.

Motivations for Healthy Eating Decreased after the COVID-19 Pandemic in the Daqing Area of China

  • Xiaoyu Ma;Seungwoo Lee;Ji-Yun Hwang
    • 한국식생활문화학회지
    • /
    • 제39권2호
    • /
    • pp.106-118
    • /
    • 2024
  • This study examined whether the perceptions of the theory of planned behavior (TPB) and individual and environmental factors related to healthy eating changed after the COVID-19 pandemic among adults living in Daqing, China. Data were collected through two rounds of online surveys conducted from April to May 2021 and from March to April 2023, using a questionnaire previously validated for use in Daqing. Using the snowball sampling method, 571 adult participants were recruited, most of whom were Daqing oilfield workers or members of their families. Multiple linear regression analyses were used to determine if the differences in the perceptions of the TPB and dietary environments exist during and after the pandemic after controlling for potential confounders. Scores of several subcomponents of TPB and mean scores of longterm intentions increased but scores of subcomponents and overall mean of motivation decreased after the outbreak. Multiple linear regression showed that only motivation for healthy eating decreased after the pandemic. Influenced by the pandemic, people increased their healthy eating behaviors. Nevertheless, as the pandemic subsided and the pace of life accelerated, people tended to choose convenient foods over healthy options. Consequently, the motivation for healthy eating has declined post-pandemic compared to during the pandemic.

Wage Determinants Analysis by Quantile Regression Tree

  • Chang, Young-Jae
    • Communications for Statistical Applications and Methods
    • /
    • 제19권2호
    • /
    • pp.293-301
    • /
    • 2012
  • Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.