• 제목/요약/키워드: good fit

검색결과 737건 처리시간 0.684초

감정노동을 수행하는 임상간호사의 개인적 안녕에 대한 경로모형 (Psychosocial Well-Being of Clinical Nurses Performing Emotional Labor: A Path Analytic Model Approach)

  • 이윤정;김현리
    • 대한간호학회지
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    • 제49권3호
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    • pp.307-316
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    • 2019
  • Purpose: This study was conducted to investigate the influence of emotional expressivity, emotional intelligence, affectivity, job autonomy, social support, and emotional labor on clinical nurses' individual well-being and to provide guidelines for interventions and strategies for its improvement. Methods: The sample consisted of 207 nurses recruited from a general hospital in Korea. The participants completed a structured self-report questionnaire comprising measures of emotional expressivity, emotional intelligence, positive affectivity, negative affectivity, job autonomy, supervisor support, coworker support, deep acting, surface acting, emotional exhaustion, and job satisfaction. Data were analyzed using SPSS statistics 22.0 and AMOS 22.0. Results: The final model was a good fit for the data based on the model fit indices. In the path analysis, surface acting, negative affectivity, supervisor support, and coworker support had statistically significant effects on emotional exhaustion, explaining 29.0% of the variance. Deep acting, emotional exhaustion, positive affectivity, and emotional intelligence had statistically significant effects on job satisfaction, explaining 43.0% of the variance. Conclusion: Effective strategies to improve clinical nurses' individual well-being should focus on surface acting, deep acting, affectivity, social support, and emotional intelligence. The results of this study can be utilized as base data to manage emotional labor and improve clinical nurses' individual well-being.

An Integrated Approach to Linking Job Love with Contextual Factors and Performance: An Empirical Study from Pakistan

  • BIBI, Naila;SAEED, Bilal Bin;AFRIDI, Muhammad Asim
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.157-169
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    • 2022
  • Job love is an emerging phenomenon, which is the utmost approach to fulfilling employees' and organizations' mutual interests, especially performance. The current study aims to define and extend the existing proposed construct of "loving one's job" as job love. It provides a novel theoretical multi-level framework of job love, contextual factors, and performance principled on the attraction-selection-attrition framework and social exchange theory through an integrated approach. This study collected cross-sectional data through a questionnaire from 332 nurses across eight tertiary hospitals in Khyber Pakhtunkhwa, Pakistan. The findings are based on the structural equation modeling technique (SEM) at multi-levels. The results show significant relationships between job love, contextual factors, and performance at the individual and organization levels. There are some insignificant relationships between the variables at the cross-level. Job love plays a key role for both employees and organizations. It facilitates the individuals in the recruitment process to select the job they love, be a good fit, and stay committed to that particular job and organization. This phenomenon allows people to pursue their common interests. Job love assists firms in developing human resource capacity utilization plans that satisfy the needed requirements.

어린이집 자율관리를 위한 조직역량 진단도구(S.T.E.P+)의 개발 및 타당화 (Development and Validation of S.T.E.P+ Diagnostic Tool: Assessing Organizational Competence for Self-management in Daycare Centers)

  • 강정원;박소영;이원선;임여정
    • 한국보육지원학회지
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    • 제20권2호
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    • pp.105-126
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    • 2024
  • Objective: The study aimed to develop and validate a tool for assessing daycare center organizational competence and for autonomously managing childcare quality. Methods: Through literature review and expert reviews, items were derived and validated using the Content Validity Index. Data from a survey involving 216 directors and 509 teachers were analyzed using SPSS and AMOS to assess reliability and conduct confirmatory factor analysis. Results: Results revealed a 36-item diagnostic tool across four subcategories: shared values (6 items), training abilities (18 items), environmental support (6 items), and organizational promotion (6 items). A diagnostic tool named S.T.E.P+ was developed, named after the first letters of the four subfactors. Skewness and kurtosis were within normality assumptions. Good fit indices (CFI, TLI) and low SRMR and RMSEA values indicated a satisfactory model fit. Cronbach's α values showed high reliability for all factors. The tool enables autonomous diagnosis of childcare quality. Conclusion/Implications: This tool can effectively autonomously diagnose whether a daycare center is providing quality childcare.

소분자 도킹에서의 탐색알고리듬의 현황 (Recent Development of Search Algorithm on Small Molecule Docking)

  • 정환원;조승주
    • 통합자연과학논문집
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    • 제2권2호
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    • pp.55-58
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    • 2009
  • A ligand-receptor docking program is an indispensible tool in modern pharmaceutical design. An accurate prediction of small molecular docking pose to a receptor is essential in drug design as well as molecular recognition. An effective docking program requires the ability to locate a correct binding pose in a surprisingly complex conformational space. However, there is an inherent difficulty to predict correct binding pose. The odds are more demanding than finding a needle in a haystack. This mainly comes from the flexibility of both ligand and receptor. Because the searching space to consider is so vast, receptor rigidity has been often applied in docking programs. Even nowadays the receptor may not be considered to be fully flexible although there have been some progress in search algorithm. Improving the efficiency of searching algorithm is still in great demand to explore other applications areas with inherently flexible ligand and/or receptor. In addition to classical search algorithms such as molecular dynamics, Monte Carlo, genetic algorithm and simulated annealing, rather recent algorithms such as tabu search, stochastic tunneling, particle swarm optimizations were also found to be effective. A good search algorithm would require a good balance between exploration and exploitation. It would be a good strategy to combine algorithms already developed. This composite algorithms can be more effective than an individual search algorithms.

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패션감성의 측정도구 개발에 관한 연구(제2보) (A Study on the Development of Fashion Sensibility (Part II))

  • 이경희;김유진
    • 한국의류학회지
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    • 제27권5호
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    • pp.505-516
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    • 2003
  • The purpose of this study was to develop the measurement of fashion sensibility and to verify the validity and utility. The survey has been done 91 photos selected in fashion magazines with 25 semantic differential hi-polar scale. The obtained data were analyzed by MDS, Discriminant analysis and Regression analysis. The major findings of this research were as follows. 1. According to the sensibility positioning, fashion image was classified by 4 group and agreed with constructing factors of fashion. 2. As result of the discrimination analysis, distinguishable fashion sensibility among design elements of clothing was related to refined, pleasant, feel like buying sensibility. 3. As result of the regression analysis, Preference was related to looking good, refined, and sweet, Buying needs related to likable, looking good and natural, Riches related to elegant, neat and refined, Pleasure related to looking good, elegant and bright. 4. The fashion design properties were different regarding Preference, Buying needs. Riches and Pleasure. Preference and Buying needs were related to H-line, similarity color combination, cotton and linen, Riches related to brilliance texture, ruffle and flounces, Pleasure related to fit and sexy design of clothing.

유아기 자녀를 둔 어머니의 정서코칭 평가도구 타당화 (Validation of the Maternal Emotion Coaching Questionnaire for Mothers of Preschool Children)

  • 임정하;박성민
    • 한국보육지원학회지
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    • 제18권4호
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    • pp.1-16
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    • 2022
  • Objective: The purpose of this study is to test the psychometric properties of the Maternal Emotion Coaching Questionnaire (MECQ, Lim et al., 2018) in order to measure emotion coaching in mothers of preschoolers. Methods: A total of 316 preschoolers and their mothers participated in this study. Maternal emotion coaching was assessed by self-report and child emotion regulation ability was evaluated by the teacher. Data were analyzed with chi-square tests, reliability analysis, confirmatory factor analysis, latent profile analysis, and F-test. Results: Each item of the MECQ showed proper discriminative power. The MECQ and each subscale demonstrated adequate internal consistency and split-half reliability. Evidence of construct validity was provided by confirmatory factor analysis. The five-factor model including maternal attention, awareness, acceptance, empathy, and guidance showed a good fit. Results of the latent profile analysis revealed three profiles of emotion coaching: excellent, good, and poor. Preschoolers with mothers in the poor coaching profile showed significantly lower emotion regulation ability compared to those in the excellent or good coaching profiles, which suggested discriminative validity of the MECQ. Conclusion/Implications: The MECQ presents a reliable and valid tool to assess emotion coaching in mothers of preschool children and can thus be effectively used for mothers of preschoolers.

키토산 올리고당 첨가량에 따른 콩다식의 품질 특성 (A Study on the Quality Characteristics of Soybean Dasik by Addition of Chitosan-Oligosaccharide)

  • 정은진;우경자
    • 동아시아식생활학회지
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    • 제15권3호
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    • pp.300-305
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    • 2005
  • Along with development of modem medicine, the average life span has been increased but diseases of lifestyle such as cancer, obesity atheroscerosis, cardiac disorder become social issues. This study was designed to examine the availability of the functional food by adding chitosan-oligosaccharide to Korean traditional food, Soybean Dasik. For the study, 0, 30, 50 and $70\%$ of chitosan-oligosaccharide power that contains $23\%$ of chitosan-oligosaccharide were added to soybean Dasik in proportion to the total powder weight These were compared with the Soybean Dasik itself in relation to the physicochemical characteristics, sensory evaluation, and mechanical characteristics. The results of the research are as follows. Physicochemical characteristics showed that chitosan-oligosaccharide soybean Dasik had less ash, K, and Mn. As for the result of sensory evaluation, Dasik added $0\%$ chitosan-oligosaccharide was evaluated very good in its color. Sweetness and softness was good on $0\%\;30\%\;and\;50\%$ ones, while moistness and overall quality on $30\%\;and\;50\%$ ones. As the test results of mechanical characteristics, the chitosan-oligosaccharide soybean Dasik was good for hardness, cohesiveness, gumminess, and brittleness, especially on $0\%\;30\%\;and\;50\%$ ones. Springiness was good in all groups. In color, L value of chitosan-oligosaccharide soybean Dasik decreased but a and b values increased as the substitution percentage increased Therefore, the right amount of addition fit for the production properties was $30-50\%$ chitosan-oligosaccharide of total powder weight.

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보건의료인의 이직의도 경로모형 분석 (A Path Analysis of Variables Influencing Turnover Intention Among Healthcare Providers)

  • 송정희;안지연
    • 근관절건강학회지
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    • 제19권2호
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    • pp.142-151
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    • 2012
  • Purpose: This study was to explore the relationships among emotional labor, social support, job satisfaction, organizational commitment, and turnover intention in healthcare providers. Methods: Participants were healthcare providers (54 male and 328 female) with a mean age of 30.28 years old. Data analysis were done with PASW 18.0 for descriptive statistics and AMOS 5.0 for path analysis. Results: The hypothetical path model showed a good fit to the empirical data (${\chi}^2$=4.178, df=2, p= .124, GFI= .997, NFI= .995, NNFI= .987, RMSEA= .053). Emotional labor, job satisfaction, and organizational commitment had significant direct effects on turnover intention. Social support had a significant direct effect on emotional labor, job satisfaction and organizational commitment, and indirect and total effect on turnover intention. Conclusion: These findings suggest that turnover prevention or education programs for healthcare providers should include maintaining good mood when interact with patients or visitors with various negative moods in healthcare setting. Further strategies may need to resolve emotional labor, enhance job satisfaction and organizational commitment, and provide social support.

손자녀를 돌보는 조모의 삶의 질 구조모형 (A Structural Model on the Quality of Life of Grandmothers Caring for their Grandchildren)

  • 오진아
    • Child Health Nursing Research
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    • 제13권2호
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    • pp.201-211
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    • 2007
  • Purpose: This study was designed to construct a structural model to explain the quality of life of grandmothers caring for their grandchildren. Method: Data were collected by self-report questionnaires from 232 grandmothers caring for their grandchildren living in Busan. The data collection period was from June to Oct. 2006. Data analysis was done with SAS 9.13 for descriptive statistics and PC-LISREL 8.52 program for Covariance Structural analysis. Results: The findings found that the fit of the hypothetical model to the data was good, but considering theoretical implications and statistical significances of parameter estimates, paths and variables of the model were modified by excluding 2 paths. The Modified Model with 17 paths showed a good fitness to the empirical data ($X^2=15.492$ (df=11, p=.161), GFI=.985 AGFI=.940 NFI=.982 RMSR=.037 RMSEA=.042). Health status, health problems, economical status, life events, caring stress, caring efficacy and life satisfaction had significant effects on quality of life in the grandmother caring their grandchildren, but of these variables, self-esteem was the most essential factor. All predictive variables of quality of life together explained 63.9% of the variance. Conclusion: The derived model in this study was confirmed to be proper in explaining and predicting the quality of life of the grandmothers caring their grandchildren.

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관광지역 음식점에 대한 선호도에 영향을 미치는 요인 평가 (Assessing the Factors Influencing Preference for the Restaurants in Tourist Areas)

  • 강종헌;정항진
    • 한국조리학회지
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    • 제14권2호
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    • pp.215-224
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    • 2008
  • The objective for this research was to clarify the preference for alternative restaurants with different combinations of factor levels: local specialty food, non-local specialty food, very attentive service, moderately attentive service, not attentive service, traditional decoration, modern decoration, \10,000, \15,000, and \20,000. Total 230 copies of questionnaire were completed. Conjoint experiment method was used to develop full restaurant profiles. Ordinal probit model was used to measure the effects of factor levels on the preference. Results of the study demonstrated that the ordinal probit model analysis result for the data also indicated a good model fit. The effects of factor levels on the preference were statistically significant. As expected, the estimates of implicit price to pay were statistically significant. Moreover, the customers were more willing to pay for local specialty than other factor levels. The customers also considered the food factor as a very important factor. This research suggested that the customer's decision-making process for restaurants was best modeled as a conjoint experiment method that combines various factor levels. And it showed the results could be used as good data for understanding the relationships between the factors and preference in choosing food and restaurants in tourist areas.

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