*The dependency value ranges from 0.000 to 1.000. A value of “0.000” shows complete independence of the Consensus Index from the Delphi survey characteristic examined (e.g., the Group Conformity Index) whereas a value of “1.000” shows complete dependence. The dependency value is the maximum numeric difference observed for each consensus index when the Group Conformity Index in a simulated Delphi survey varied from 0.0 to 1.0.All Delphi consensus indices (the left column) typically take a value ranging from 0.000 to 1.000, except the Interquartile Range (IQR). For example, in the case of the Fleiss’ Kappa, a maximum difference of 0.504 can be anticipated when the Group Conformity Index varies from 0.0 to 1.0. For the IQR, the dependency data are normalized by dividing the difference observed in simulations by the maximum possible difference (9.000), i.e., the length of the Likert scale from 1 to 10 used in the simulations.RANK ORDER of the Dependency of Consensus Indices’ on the GROUP CONFORMITY INDEX in a Delphi Survey

ABSTRACT Background: Parkinson’s disease (PD) is a chronic disease that presents a multitude of symptoms, with symptoms of both motor and nonmotor nature. The Delphi method is widely used to create consensuses among experts in a field of knowledge. Objective: In order to reach a consensus on the values that should be assigned to the different motor and nonmotor manifestations of Parkinson’s disease, a linear evaluation index (LEI) was created. Subsequently, the metric properties of this index were studied. Methods: 120 consecutive patients with a Parkinson’s diagnosis were chosen in accordance with the UKPDSBB criteria. The Delphi method was used to reach a consensus among experts regarding the values of each of the manifestations included. Subsequently, the following attributes were analyzed: quality and acceptability of the data; reliability, in terms of internal consistency, reliability index, Cronbach’s alpha and standard error of measurement; and validity, in terms of convergent validity and validity for known groups. Results: Twenty-five experts participated. The importance factor did not differ between the first round and the second round (chi-square test). We analyzed the responses that assigned percentage values to the 10 dimensions of the LEI. Both in the first and in the second round, the values of the scattering coefficient Vr were always close to 0. The homogeneity index was 0.36; the corrected-item total correlation values ranged from 0.02 to 0.7; Cronbach’s α was 0.69; and the SEM was 4.23 (55.1%). Conclusions: The LEI was obtained through rigorous recommended methodology. The results showed adequate metric properties.

About this dataset

Context

The dataset illustrates the median household income in Delphi, spanning the years from 2010 to 2023, with all figures adjusted to 2023 inflation-adjusted dollars. Based on the latest 2019-2023 5-Year Estimates from the American Community Survey, it displays how income varied over the last decade. The dataset can be utilized to gain insights into median household income trends and explore income variations.

Key observations:

From 2010 to 2023, the median household income for Delphi decreased by $8,627 (16.53%), as per the American Community Survey estimates. In comparison, median household income for the United States increased by $5,602 (7.68%) between 2010 and 2023.

Analyzing the trend in median household income between the years 2010 and 2023, spanning 13 annual cycles, we observed that median household income, when adjusted for 2023 inflation using the Consumer Price Index retroactive series (R-CPI-U-RS), experienced growth year by year for 6 years and declined for 7 years.

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2019-2023 5-Year Estimates. All incomes have been adjusting for inflation and are presented in 2022-inflation-adjusted dollars.

Years for which data is available:

• 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 0223

Variables / Data Columns

• Year: This column presents the data year from 2010 to 2023
• Median Household Income: Median household income, in 2023 inflation-adjusted dollars for the specific year
• YOY Change($): Change in median household income between the current and the previous year, in 2023 inflation-adjusted dollars
• YOY Change(%): Percent change in median household income between current and the previous year

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Delphi median household income. You can refer the same here

In landscape appreciation, what tourists directly perceive is the atmosphere of the landscape. This paper introduces the concept of “Ecological Structure” from Gernot Böhme’s theory of atmospheric aesthetics into the assessment of landscapes, utilizing atmosphere as a bridge between horticultural ecology, aesthetics, and culture. It examines the relationship between the objective environment and subjective perception. This study conducted a field survey of Xingqing Palace Park and selected the waterside plant landscape that directly reflects the atmosphere of the royal garden as the research object. In the first stage of this study, Scenic Beauty Estimation was used to evaluate the overall beauty of 32 landscape units; in the second stage, the Delphi method and Analytic Hierarchy Process were used to evaluate the ecological structures that affect the garden landscape atmosphere; in the third stage, the two evaluation results of the Kendall’s W concord coefficient test Analytic Hierarchy Process and Scenic Beauty Estimation have high consistency, which shows that the atmosphere is great value to the beauty of the landscape. This study provides designers with a means to create a garden atmosphere using ecological structures and provides new ideas for landscape design.

Addressing the challenge of employing a comprehensive risk analysis approach that effectively captures and quantifies all contributing factors remains a significant endeavor in both academic research and practical field applications. This study endeavors to fill this gap by introducing a practical safety risk assessment approach, named the FMEA+ method, grounded in the conventional Failure Modes and Effects Analysis. To construct a comprehensive taxonomy that encompasses the contributing factors within each dimension of risk, a three-stage Delphi study engaged 35 Subject Matter Experts (SMEs). The Fuzzy Analytical Hierarchy Process (FAHP) was employed to acquire knowledge and assign weights to the factors and sub-factors. The validation and reliability assessment of the developed taxonomy included evaluating the Content Validity Ratio (CVR), Content Validity Index (CVI), and Cronbach’s alpha coefficient, yielding values of 0.77, 0.91, and 0.86, respectively. Independent peer reviews and reality checks further substantiated the credibility of the proposed taxonomy. The introduced safety risk assessment algorithm, FMEA + , derived from the FMEA technique, comprises three main factors and 12 sub-factors. The final normalized weights for the three factors—occurrence, severity, and detectability—were determined to be 0.337, 0.348, and 0.315, respectively. In the three factors of occurrence, severity, and detection, the most important sub-factors identified were human reliability, human injury, and technical inspection, respectively. This proposed taxonomy serves as a foundational tool for facilitating informed decision-making and the effective implementation of risk mitigation strategies. The application of this innovative approach offers a scientific alternative to traditional FMEA methods within similar industries, addressing existing challenges in a more comprehensive and nuanced manner.

The data mainly includes the questionnaire data, the judgment matrix data in each dimension and the analytic hierarchy process (AHP) result analysis data, which clearly shows the key factors affecting the evolution of the cultural genes of the folk dwellings in Guangfu. Firstly, through literature research and field investigation, the factors affecting the evolution of cultural genes of folk houses in overseas Chinese townships in Guangfu were collected. Secondly, based on the Delphi method, a number of experts were asked to screen the preliminary list of influencing factors for many times, and the most common expert opinions were obtained, forming the index system of influencing factors for the evolution of the cultural genes of the folk houses in Guangfu overseas Chinese townships. Finally, the analytic hierarchy process is used to further verify the data results of Delphi method to ensure the accuracy, effectiveness and authenticity of each influencing factor. Finally, the weight of each influencing factor is determined, and these weights are comprehensively ranked. Analytic hierarchy process is helpful to determine the range of changes of each element, and can effectively simulate the decision results of the evolution influencing factors under different index factor values, which is conducive to more reasonable allocation of cultural resources. According to the above data analysis, we can objectively calculate the key factors affecting the evolution of the cultural genes of the folk houses in Guangfu. This not only provides theoretical support for the protection of residential cultural heritage, but also provides new ideas and methods for its inheritance.

ABSTRACT Objective: To verify the evidence of content validity of the Identifying Issues (Identification questions) elaborated from the theoretical-logical model of the Matrix and the Profile of Professional Competence of the emergency nurse. Method: Descriptive and methodological study of a quantitative approach with a psychometric reference as a precursor in the elaboration of a measurement instrument for the evaluation of competencies. The study was conducted in 2013 in Brazil, with a national sample of nurses specialized in emergency services and/or with professional competence in the area. Three stages were considered: questionnaire development; data collection with Delphi, appropriate statistics for Likert; and interpretative analysis of the comments/suggestions of the analyzed issues. Results: Delphi was used in four stages. There were minor adjustments to the content and inclusion of a new Competence. They obtained 90% of Score Percentage and 98.61 of Content Validity Index. Conclusion: There was consensus among the experts and the research demonstrated evidence of content validity, suggesting pertinence and adequacy to represent the constructs of competencies.

In view of the deficiency that the traditional importance ranking method cannot be used to objectively and comprehensively evaluate the importance of the causes of hoisting injuries, an importance ranking method based on topological potential is proposed by using complex network theory and field theory in physics. First, the causes of 385 reported lifting injuries are divided into 36 independent causes at four levels through a systematic analysis approach, and the relationships among these causes are obtained through the Delphi method. Then, the accident causes are treated as nodes, and the relationships among the causes are used as edges to establish a network model of the causes of lifting accidents. The out-degree and in-degree topological potential of each node are calculated, and an importance ranking of lifting injuries causes is obtained. Finally, based on 11 evaluation indexes commonly used to assess node importance (node degree, betweenness centrality, etc.), the ability of the method proposed in this paper to effectively identify the key nodes in the cause network of lifting accidents is verified, and the conclusions can guide the safe implementation of lifting operations.

Extracorporeal membrane oxygenation (ECMO) serves as a vital therapy for refractory severe respiratory and circulatory failure. With its expanding application in China and the heightened demand for high-quality medical services, ensuring top-notch nursing care during ECMO treatment is crucial. However, existing ECMO nursing quality evaluation tools have limitations, such as lacking detailed calculation formulas for some indicators and insufficient scientific grounding due to over-reliance on expert experience. Thus, there is an urgent need to develop a scientific and practical index system for evaluating ECMO nursing quality to provide an objective basis for monitoring and improving care.This Delphi study was conducted to develop and refine quality indicators for ECMO care, adhering to ACCORD guideline. First, a literature review and expert discussions were carried out to design an expert questionnaire. Then, nineteen experts in critical care participated in two rounds of Delphi surveys. After the surveys, the analytic hierarchy process was employed to assign weights to the indicators.This study achieved a 100 questionnaire recovery rate, and there was high agreement among the experts. Through the two-round consultation, the final ECMO care quality indicators were determined, including three primary indicators, nine secondary indicators, and 32 tertiary indicators. A scientific and reliable ECMO care quality evaluation system was successfully created. This system offers a comprehensive basis for future assessments of ECMO care in China, addressing the need for robust quality evaluation tools in this field and contributing significantly to the continuous improvement of clinical nursing.

Screening of social responsibility evaluation indexes of Puhui kindergartens.

Extracorporeal membrane oxygenation (ECMO) serves as a vital therapy for refractory severe respiratory and circulatory failure. With its expanding application in China and the heightened demand for high-quality medical services, ensuring top-notch nursing care during ECMO treatment is crucial. However, existing ECMO nursing quality evaluation tools have limitations, such as lacking detailed calculation formulas for some indicators and insufficient scientific grounding due to over-reliance on expert experience. Thus, there is an urgent need to develop a scientific and practical index system for evaluating ECMO nursing quality to provide an objective basis for monitoring and improving care.This Delphi study was conducted to develop and refine quality indicators for ECMO care, adhering to ACCORD guideline. First, a literature review and expert discussions were carried out to design an expert questionnaire. Then, nineteen experts in critical care participated in two rounds of Delphi surveys. After the surveys, the analytic hierarchy process was employed to assign weights to the indicators.This study achieved a 100 questionnaire recovery rate, and there was high agreement among the experts. Through the two-round consultation, the final ECMO care quality indicators were determined, including three primary indicators, nine secondary indicators, and 32 tertiary indicators. A scientific and reliable ECMO care quality evaluation system was successfully created. This system offers a comprehensive basis for future assessments of ECMO care in China, addressing the need for robust quality evaluation tools in this field and contributing significantly to the continuous improvement of clinical nursing.

BackgroundTo develop a risk assessment scale for infections caused by multidrug-resistant organisms (MDROs) in patients with critical illness and to evaluate its reliability and validity.MethodsAn initial risk assessment scale for MDRO infections in patients with critical illness was developed by using a systematic literature review, the Delphi method, and the analytic hierarchy process. Data from 750 critically ill patients admitted to the intensive care unit (ICU) of a Grade A tertiary hospital in China between January 2019 and June 2025 were analyzed. The scale’s reliability and validity were assessed through exploratory factor analysis (n = 450) and confirmatory factor analysis (n = 300).ResultsThe risk assessment scale for MDRO infection in patients with critical illness comprised five dimensions and 20 items. The Cronbach’s alpha for the total scale was 0.873. The scale-level content validity index was 0.925, with the content validity indices for individual scale items ranging 0.875–1.000. Exploratory factor analysis enabled the extraction of five common factors, which accounted for 67.861% of the cumulative variance. Confirmatory factor analysis yielded χ2/DF = 1.912, RMSEA = 0.055, CFI = 0.945, TLI = 0.935, and GFI = 0.906. The predictive efficacy of the scale for MDRO infections was validated via ROC curve analysis, yielding an area under the curve (AUC) of 0.788, sensitivity of 0.741, and specificity of 0.707, indicating a robust overall discriminative capability.ConclusionThe risk assessment scale for MDRO infection in patients with critical illness demonstrated good reliability and validity, enabling the scientific and reliable assessment of patient infection risk.