Interpreting evidence from structural equation modeling in nursing practice

Newman, Kathy M.; Vance, David E.; Moneyham, Linda

doi:10.1177/1744987109346666

Cited by 12 publications

(8 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A root mean square error of approximation of 0.05 or less is reflective of a good fit of the model to the data (Browne & Cudeck 1993). Goodness of fit indices of 0.90 or higher indicate a good fit of the model to the data (Newman et al. 2009).…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating nurse staffing patterns and neonatal intensive care unit outcomes using Levine’s conservation model of nursing

Mefford

Alligood

2011

Journal of Nursing Management

View full text Add to dashboard Cite

show abstract

Section: Resultsmentioning

confidence: 99%

“…However, the proposal and refining of a path diagram model within a single research study is an accepted and typical use of the SEM technique (,Weston et al. 2008, Newman et al. 2009).…”

Section: Limitationsmentioning

confidence: 99%

Evaluating nurse staffing patterns and neonatal intensive care unit outcomes using Levine’s conservation model of nursing

Mefford

Alligood

2011

Journal of Nursing Management

View full text Add to dashboard Cite

show abstract

“…SEM is a theory-based statistical confirmatory technique. It has emerged as a reliable and useful method in examining relationships among multiple variables simultaneously (Newman, Vance, & Moneyham, 2010).…”

Section: Methodsmentioning

confidence: 99%

A Structural Equation Model of the Factors Affecting Morale of a Select Group of Filipino Elderly in a Community Setting

Guzman

Lacson

Labbao

2014

Educational Gerontology

View full text Add to dashboard Cite

While morale among the elderly has been widely and extensively studied, results are varied and at times conflicting. Hence, the purpose of this study is to explore the factors affecting elderly morale of a select group of Filipinos in a community setting. A 64-item questionnaire was utilized to survey 323 Filipinos aged 60 and above residing in the National Capital Region of the Philippines in May 2013. Respondents completed a robotfoto, a checklist of chronic illnesses, and measures of the social support, functional ability, geriatric depression, and morale. Structural equation modeling was used to test the hypothesized model. Two competing models emerged in the study. Model 1 followed causal relationships indicated in the hypothesized model while model 2 considered modification indices that surfaced more acceptable fit indices (X 2 =df ¼ 1.414, GFI [goodness of fit index] ¼ 0.988, CFI [comparative fit index] ¼ 0.987, RMSEA [root mean square error of approximation] ¼ 0.036). Chronic illness, social support, and depression were found to be major predictors of morale. Number of chronic illnesses and depression were also found to have a negative relationship with functional ability, and chronic illness and social support were negatively correlated. Findings can assist health professionals such as nurses to identify the factors that shape elderly morale vis-a-vis the use of effective strategies that promote the well-being of elderly people. The emerging model can serve as reference to assess the effectiveness of quality of care rendered as manifested by morale.Several studies have indicated that, by and large, morale is often used synonymously with life satisfaction, subjective or psychological well-being, and quality of life (

show abstract

“…SEM is a statistical technique that allows researchers to examine multiple hypotheses while simultaneously controlling for errors (Newman, Vance, & Moneyham, 2010). This technique allows the researchers to statistically test the theoretical model whether it fits the observed data.…”

Section: Methodsmentioning

confidence: 99%

A Structural Equation Modelling on the Factors Affecting Intolerance of Uncertainty and Worry Among a Select Group of Filipino Elderly

Guzman

Lacao

Larracas

2014

Educational Gerontology

View full text Add to dashboard Cite

Across the literature, the interest in the phenomenon of intolerance of uncertainty (IU) and worry has increased exponentially. However, limited empirical studies exist about the factors that affect IU and worry among older people. The purpose of the study was to examine the impact of spirituality, selfefficacy, and knowledge about aging on IU and worry. A total of 219 Filipino elderly were recruited from institutionalized and hospital care settings. A multiaspect questionnaire was utilized to measure spirituality, self-efficacy, knowledge, intolerance uncertainty, and worry. Exploratory factor analysis (EFA) was used to explore the dimensions of IU and worry. Moreover, structural equation modelling was used to test the hypothesized model. Results of EFA identified four factor dimensions of uncertainty, namely: perfection-driven uncertainty, apprehension-driven uncertainty, avoidance-driven uncertainty, negativism-driven uncertainty. Further, three factor dimensions of worry were also distinguished: constant worriers, obsessive-compulsive worriers, and happy-go-lucky worriers. Moreover, results of structural equation modeling (SEM) showed interaction among the variables presented. Additionally, spirituality showed a positive effect on self-efficacy. However, self-efficacy does not have an effect on IU and worry. Nevertheless, an emerging path between knowledge and IU supported the claim of Nuevo, Wetherell, Montorio, Ruiz, and Cabrera (2009). The study was able to determine the positive effect of spirituality to self-efficacy and its existing correlation with knowledge about aging in relation to elderly's IU and worry. The emerging model can serve as a reference for nurses to address the sociopsychological needs of the geriatric clients employing spirituality and psychiatric nursing.Intolerance of uncertainty is defined as a cognitive bias that affects how a person perceives, interprets, and responds to uncertain situations on a cognitive, emotional, and behavioral level

show abstract

Interpreting evidence from structural equation modeling in nursing practice

Cited by 12 publications

References 7 publications

Evaluating nurse staffing patterns and neonatal intensive care unit outcomes using Levine’s conservation model of nursing

Evaluating nurse staffing patterns and neonatal intensive care unit outcomes using Levine’s conservation model of nursing

A Structural Equation Model of the Factors Affecting Morale of a Select Group of Filipino Elderly in a Community Setting

A Structural Equation Modelling on the Factors Affecting Intolerance of Uncertainty and Worry Among a Select Group of Filipino Elderly

Contact Info

Product

Resources

About