scholarly journals Testing the Reliability and Validity of the Nursing Activities Score in Critical Care Nursing

2018 ◽  
Vol 26 (1) ◽  
pp. 142-162 ◽  
Author(s):  
Siv K. Stafseth ◽  
Tor Inge Tønnessen ◽  
Lien My Diep ◽  
Lisbeth Fagerstrøm
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Conceptual Model ◽  
Structural Equation ◽  
Factor Model ◽  
Reliability And Validity ◽  
Equation Model ◽  
Critical Care Nursing ◽  
Measurement Models ◽  
Care Nursing

Background and Purpose:The purpose of this study was to test the reliability and validity of the conceptual model of critical care nursing using the Nursing Activities Score (NAS) for intensive care unit (ICU) patients.Methods:An observational study conducted in 2011 using the NAS scores of 219 patients in Norway. The inter-rater reliability (IRR) was tested by parallel classifications. The validity was explored by an exploratory factor analysis (EFA) and a confirmatory factor analysis (CFA) as the measurement models in the structural equation model.Results:Within the paired ratings the Spearman's correlation coefficient was 0.39. The EFA results explained 77% of the variance with six factors. The reduced CFA model resulted in a three-factor model: relationship, prevention and treatment. Conclusion: The findings supported the IRR and construct validity of the conceptual model of the NAS.

scholarly journals Development and Validation of a Patient Version of Person-Centered Critical Care Nursing Questionnaire: A Methodological Study

SAGE Open ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 215824402092442
Author(s):  
Jiwon Hong ◽  
Jiyeon Kang
Keyword(s):  
Factor Analysis ◽  
Critical Care ◽  
Patient Perspective ◽  
Discriminant Validity ◽  
Qualitative Interviews ◽  
Reliability And Validity ◽  
Critical Care Nursing ◽  
Convergent And Discriminant Validity ◽  
Test Retest Reliability ◽  
Care Nursing

This study aimed to develop a questionnaire to evaluate person-centered critical care nursing from a patient perspective (PCCNPq). We created a 26-item preliminary questionnaire based on a literature review and qualitative interviews and administered it to 411 patients who had experienced critical care. We assessed the questionnaire’s reliability and validity using exploratory factor analysis and confirmatory factor analysis and tested internal consistency and test–retest reliability. The final version of the PCCNPq comprised five factors: compassion, expertise, communication, comfort, and respect. The model fit was satisfactory, and the items demonstrated good convergent and discriminant validity. In conclusion, the 20-item PCCNPq has acceptable reliability and validity and is applicable for assessing person-centered critical care nursing from a patient perspective.

Application of Computational Statistics in the Assessment of University Students

2014 ◽  
Vol 543-547 ◽  
pp. 4308-4311
Author(s):  
Zhi Fang He
Keyword(s):  
Factor Analysis ◽  
University Students ◽  
Structural Equation ◽  
Career Planning ◽  
Reliability And Validity ◽  
Equation Model ◽  
Learning Ability ◽  
Computational Statistics ◽  
Five Factors ◽  
Planning Ability

We explored the methods of computational statistics in the application of ability assessment for university students. This paper used both exploratory factor analysis and confirmatory factor analysis carried out by statistical analysis software SPSS18.0 and lisrel 8.7, aimed to study a questionnaire which could be used to assess the comprehensive ability of university students. The retest reliability and the Cronbach reliability of the questionnaire were 0.88 and 0.90 respectively. And the structural equation model of university students ability suggested there were five factors: learning ability, innovation, career planning ability, communicative skills and psychological qualities. The indexes of RMSEA, GFI, AGFI, NNFI, NFI and CFI of the model were 0.075, 0.91, 0.91, 0.90, 0.93, and 0.92 respectively. The indexes of reliability and validity met the statistical criteria. The results can provide a guide for the ability assessment of university students.

The Influence of Heritage Tourism Destination Reputation on Tourist Consumption Behavior: A Case Study of World Cultural Heritage Shaolin Temple

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110302
Author(s):  
Zhibiao Wang ◽  
Panpan Yang ◽  
Dan Li
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Structural Equation ◽  
Heritage Tourism ◽  
Reliability And Validity ◽  
Emotional Memory ◽  
Equation Model ◽  
Tourism Destination ◽  
Consumption Behavior ◽  
Confirmatory Factor

The increasing drastic competition between tourism destinations decides on only the sites with good reputation can attract more and more tourists. The tourism destination reputation will affect tourists’ choices before traveling and consumption behavior during traveling. In order to analyze tourist consumption behavior during traveling, this article initially builds a theoretical model of tourism destination reputation, tourist enjoyment, tourist memorability, and tourist consumption behavior. Then, 490 valid questionnaires are collected based on a field survey. Meanwhile, a basic sample information collection, reliability, and validity testing (confirmatory factor analysis) and testing analysis based on structural equation model are conducted on the collected data. The result of the confirmatory factor analysis shows that the tourism destination reputation is measured by five factors: catering, accommodation, landscape, culture, and recreation and entertainment; tourist enjoyment is measured by the feeling of joy and relaxation; tourist memorability is measured by emotional memory, expectation memory, benefit memory, and interest memory; tourist consumption behavior is represented by five indexes: willing consumption, urgent consumption, guided consumption, repeated consumption, and recommended consumption. The hypothesis testing shows that the heritage tourism destination reputation not only directly and positively influences tourist consumption behavior but also indirectly affects tourist consumption behavior through tourist memorability and the chain relationship between tourist enjoyment and memorability. Finally, some suggestions are put forward to improve the tourism destination reputation and tourist enjoyment and memorability.

scholarly journals Analysis of factors affecting students going to school toilets in a rural primary school in China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Tang Shao ◽  
Jingjing Zhao ◽  
Haijuan Hu ◽  
Qi Zhang
Keyword(s):  
Factor Analysis ◽  
Primary Schools ◽  
Structural Equation ◽  
Visual Experience ◽  
Reliability And Validity ◽  
Equation Model ◽  
Path Coefficient ◽  
Factors Affecting ◽  
Hygiene Practices ◽  
Reported Data

Abstract Background Several factors may affect students going to school toilets, but a few studies have analyzed the reasons for students using toilets. This study aimed to use a structural equation model to understand the factors that impacted children’s toilet behavior. Methods This study was performed in 12 rural nonboarding primary schools (6 schools in the northern and 6 schools in the southern regions of China). All students of the third and sixth grades (761 students) were examined. A questionnaire on students’ toilet behavior was used. The questionnaire included 33 perceptual items based on 5 factors: toilet facilities, cleanliness, hygiene practices, peer relationship, and experience. The questionnaire also covered the frequency of voiding and defecating by themselves. The exploratory factor analysis, confirmatory factor analysis, and pathway analysis were used to analyze the causes of students’ toilet behavior. Results A statistically significant correlation coefficient of 0.300 indicated that cleanliness impacted the toilet frequency of students. The visual experience of the overall cleanliness of the toilet had the most significant impact on students’ toilet behavior (path coefficient, 0.81). Washing facilities and convenient handwashing had the least impact on toilet use (path coefficient, 0.52). Conclusion Cleanliness was the primary consideration for students’ toilet use on campus. The visual experience of the overall cleanliness of toilets had the most significant impact when students used toilets. No pre-survey was conducted to test the reliability and validity of the questionnaire. Using self-reported data might be associated with potential recall errors.

Relational Uncertainty Within Relational Turbulence Theory: The Bifactor Exploratory Structural Equation Model

2021 ◽  
Author(s):  
Alan K Goodboy ◽  
San Bolkan ◽  
, Kellie Brisini ◽  
Denise Haunani Solomon
Keyword(s):  
Structural Equation Model ◽  
Structural Equation ◽  
Factor Model ◽  
Equation Model ◽  
Turbulence Theory ◽  
General Factor ◽  
Relational Uncertainty ◽  
Measurement Models ◽  
Relational Turbulence ◽  
Confirmatory Factor

Abstract Relational uncertainty consists of self, partner, and relationship uncertainty, which are core parameters in relational turbulence theory (RTT). Advances in latent variable modeling allow researchers to examine the multidimensional construct as a bifactor model, including a general factor of relational uncertainty and residualized factors of self, partner, and relationship uncertainty. This advance is theoretically consequential because RTT maintains the importance of distinctions among the facets of relational uncertainty, even while empirical evidence demonstrates considerable overlap among them. In two data sets (college sample, N = 513; married sample, N = 354), competing measurement models specified Relational Uncertainty Scale items as a unidimensional confirmatory factor model, 3-factor independent clusters confirmatory factor model, 3-factor exploratory structural equation model (ESEM), bifactor confirmatory factor model, and bifactor-ESEM. The bifactor-ESEM provided the best fit in both samples, and bifactor statistics clarified how variance from the scale is partitioned to yield essential unidimensionality for the general factor of relational uncertainty, controlling for its residualized factors. Tests of a latent predictive model using a bifactor specification of relational uncertainty were consistent with RTT. Implications for testing communication theory using bifactor-ESEM are discussed in light of these findings.

Forced Zero Cross-Loading Misspecifications in Measurement Component of Structural Equation Models

Methodology ◽  
2014 ◽  
Vol 10 (4) ◽  
pp. 138-152 ◽  
Author(s):  
Hsien-Yuan Hsu ◽  
Susan Troncoso Skidmore ◽  
Yan Li ◽  
Bruce Thompson
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Equation Models ◽  
Equation Model ◽  
Model Fit ◽  
Model Specification ◽  
Simulation Design ◽  
Measurement Models ◽  
Fit Statistics ◽  
Path Coefficients

The purpose of the present paper was to evaluate the effect of constraining near-zero parameter cross-loadings to zero in the measurement component of a structural equation model. A Monte Carlo 3 × 5 × 2 simulation design was conducted (i.e., sample sizes of 200, 600, and 1,000; parameter cross-loadings of 0.07, 0.10, 0.13, 0.16, and 0.19 misspecified to be zero; and parameter path coefficients in the structural model of either 0.50 or 0.70). Results indicated that factor pattern coefficients and factor covariances were overestimated in measurement models when near-zero parameter cross-loadings constrained to zero were higher than 0.13 in the population. Moreover, the path coefficients between factors were misestimated when the near-zero parameter cross-loadings constrained to zero were noteworthy. Our results add to the literature detailing the importance of testing individual model specification decisions, and not simply evaluating omnibus model fit statistics.

scholarly journals Human Capital and Eco-Contractual Governance in Small Farms in Poland: Simultaneous Confirmatory Factor Analysis with Ordinal Variables

Agriculture ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
Bazyli Czyżewski ◽  
Agnieszka Sapa ◽  
Piotr Kułyk
Keyword(s):  
Human Capital ◽  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Agricultural Policy ◽  
Structural Equation ◽  
Equation Model ◽  
Small Farms ◽  
Ordinal Variables ◽  
Confirmatory Factor ◽  
Contractual Governance

Human capital (HC) plays an important role in modern agriculture. The difference in efficiency of assets explains only about a half of the economic performance of agricultural farms, while the other half relies on HC. Although education and training are the main components of HC, it may also be viewed from the perspective of behavioral theories that were taken under consideration in this study. The role of HC in sustainable farming has not been sufficiently explained when it comes to contractual governance (CG). In this study, the meaning of contractual governance was extended and the eco-contractual governance (ECG) concept was proposed, which stands for CG induced by agri-environmental contracts. The main objective of the article is to confirm the latent concepts of HC and ECG and to verify their correlation in view of the standards imposed by the agricultural policy. To achieve this goal, a structural equation model was developed and simultaneous confirmatory factor analysis with ordinal variables was carried out based on the sample of 674 small farms in Poland. The analysis has confirmed a relatively strong correlation between HC and ECG. It was revealed that training plays a crucial role in this relationship, while economic dependence on agricultural policy weakens the effectiveness of both HC and ECG.

Critical Care Nursing in the Philippines

2021 ◽  
Vol 33 (1) ◽  
pp. 75-87
Author(s):  
Rudolf Cymorr Kirby P. Martinez ◽  
Maria Isabelita C. Rogado ◽  
Diana Jean F. Serondo ◽  
Gil P. Soriano ◽  
Karen Czarina S. Ilano
Keyword(s):  
Critical Care ◽  
The Philippines ◽  
Critical Care Nursing ◽  
Care Nursing
Sign in / Sign up

Export Citation Format

Share Document