• Title/Summary/Keyword: Empirical Review

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A Critical Review of Nurse Demand Forecasting Methods in Empirical Studies 1991~2014 (간호사 인력의 수요추계 방법론에 대한 비판적 검토: 1991~2014년간의 실증연구를 중심으로)

  • Jeong, Suyong;Kim, Jinhyun
    • Perspectives in Nursing Science
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    • v.13 no.2
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    • pp.81-87
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    • 2016
  • Purpose: The aim of this study is to review the nurse demand forecasting methods in empirical studies published during 1991~2014 and suggest ideas to improve the validity in nurse demand forecasting. Methods: Previous studies on nurse demand forecasting methodology were categorized into four groups: time series analysis, top-down approach of workforce requirement, bottom-up approach of workforce requirement, and labor market analysis. Major methodological properties of each group were summarized and compared. Results: Time series analysis and top-down approach were the most frequently used forecasting methodologies. Conclusion: To improve decision-making in nursing workforce planning, stakeholders should consider a variety of demand forecasting methods and appraise the validity of forecasting nurse demand.

The Physical Environment and Behavioral·Psychological Health and Quality of Life for the Elderly People with Dementia - A Follow-up Study of Empirical Research, conducted on the Context of Long-term Care Facilities for the Elderly People with Dementia, to Identify Healing Environmental Factors and to Expand the Understanding of Related Clinical Outcomes (물리적 환경과 치매거주노인의 행동·심리적 건강과 삶의 질 - 노인요양시설 치유환경 디자인 요소 도출과 연계된 중재적 의료성과의 이해확장을 위한 후속연구)

  • Choi, Young-Seon
    • Journal of The Korea Institute of Healthcare Architecture
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    • v.29 no.4
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    • pp.7-20
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    • 2023
  • Purpose: The main purpose of this paper is to assess a body of research evidence that articulates the impact of physical and environmental factors on behavioral·psychological health and quality of life for the elderly people with dementia who reside in long-term care facilities. This follow-up study of the previous literature review aims to further identify physical and environmental factors, that improve health and quality of life for the elderly people with dementia, published in recent five years and to expand the understanding of clinical outcomes as mechanism that mediate the effect of physical environmental factors on improving behavioral·psychological health and quality of life for the elderly people with dementia. Methods: Comprehensive literature review has been conducted to identify empirical studies that link the design of dementia care facilities to health- and quality of care(QOL)-related outcomes and this follow-up review scrutinized peer-reviewed articles published in recent five years (from January 2018 to December 2022), filling the gap between the previous literature review and the current state of research. Results: The review identified a growing body of literature that articulates environment-related factors that improve behavioral·psychological health and quality of life for the elderly people with dementia living long-term care facilities. Implications: The findings of the review can be translated to design implications and design decisions to promote psychological and behavioral health and quality of life of people with dementia in long-term care facilities.

Review of Data-Driven Multivariate and Multiscale Methods

  • Park, Cheolsoo
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.2
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    • pp.89-96
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    • 2015
  • In this paper, time-frequency analysis algorithms, empirical mode decomposition and local mean decomposition, are reviewed and their applications to nonlinear and nonstationary real-world data are discussed. In addition, their generic extensions to complex domain are addressed for the analysis of multichannel data. Simulations of these algorithms on synthetic data illustrate the fundamental structure of the algorithms and how they are designed for the analysis of nonlinear and nonstationary data. Applications of the complex version of the algorithms to the synthetic data also demonstrate the benefit of the algorithms for the accurate frequency decomposition of multichannel data.

A Empirical Study on the Developments of Pay Satisfaction Measurements (임금만족 측정치 개발에 관한 실증적 연구)

  • 이광희
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.54
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    • pp.119-128
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    • 2000
  • This study develops the pay satisfaction questionnaire for Korean employees. Based upon the review of previous studies, 16 questionnaire items are developed. Exploratory factor analysis results in a modified measurement through item deletion, item-to-dimension reassignment, and dimension combination. The measurement model was good fit assessed by overall fit measures(GFI; goodness of fit index, AGFI; adjusted goodness of fit index, RMR; root mean square residual) criteria, lambda score, and squared multiple correlation with confirmatory factor analysis. Implication of this work for future theoretical and empirical development are suggested.

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