Using Exploratory and Confirmatory Factor Analysis to understand the role of technology in nursing education

Harerimana, Alexis; Mtshali, Ntombifikile Gloria

doi:10.1016/j.nedt.2020.104490

Cited by 66 publications

(43 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To determine the factors associated with food insecurity during COVID-19, the first-order structural equation modelling was applied. The structural equation modelling is a hypothesis testing method that states whether the indicators selected to measure latent variables are accurate (26) . Latent variables cannot be measured directly and must be figured out through observable variables that are directly measurable (27) .…”

Section: Measurement Modelmentioning

confidence: 99%

Determinants of household vulnerability to food insecurity during COVID-19 lockdown in a mid-term period in Iran

Pakravan-Charvadeh

Savari

Khan

et al. 2021

Public Health Nutr.

View full text Add to dashboard Cite

Objective This study aimed to identify and rank the different aspects of households’ vulnerability to food insecurity. Design The data was collected by a standard online questionnaire. The Household Food Insecurity Access Scale (HFIAS) was used to assess food insecurity levels, and first-order structural equation modeling (SEM) was applied to determine factors that affect food insecurity. Seven dimensions of vulnerability were measured: economic, social, cultural, human, physical, psychology, and information, using 37 items extracted from the related literature review. Setting This study was implemented in Tehran province in Iran Participants The sample included 392 families residing in Tehran province which was determined using random sampling Results About 61% of the total sample faced food insecurity, at marginal, moderate, and severe levels. Economic, psychological, and human aspects of vulnerability had the highest effect on food insecurity during the initial COVID-19 lockdown. Conclusions Authorities and policy-makers must provide economic and financial support to vulnerable households. Abolition of U.S. economic and financial sanctions imposed on Iran must be implemented to battle with COVID-19 in this country.

show abstract

Section: Measurement Modelmentioning

confidence: 99%

Determinants of household vulnerability to food insecurity during COVID-19 lockdown in a mid-term period in Iran

Pakravan-Charvadeh

Savari

Khan

et al. 2021

Public Health Nutr.

View full text Add to dashboard Cite

show abstract

“…With the rapid development and technological innovation of the clinical information and communications technology sectors [2], new technologies have been examined and readily applied. Additionally, a study among nursing college students has shown that their perceptions toward these new technologies have been positive, with most (89.3%) perceiving the role of technology in nursing education to be positive [3].…”

Section: Introductionmentioning

confidence: 99%

Factors Influencing SDL Readiness and Self-Esteem in a Clinical Adult Nursing Practicum after Flipped Learning Education: Comparison of the Contact and Untact Models

Cho

Kim

2021

IJERPH

View full text Add to dashboard Cite

This study aimed to evaluate the effects of a flipped learning contact model and a flipped learning “untact” model with Korean nursing students undergoing a clinical practicum, and to examine the factors of self-directed learning readiness and self-esteem considering these learning models. The participants included 85 students. Participants were randomly allocated to two models. This study measured self-directed learning readiness, self-esteem, learner motivation, professor–student and clinical instructor–student interactions, confidence in performing core skills, participating in online activities, clinical practice stress, and the friendliness of the two models. Participants’ characteristics were analyzed using frequencies and percentages, and between-group differences regarding characteristics were analyzed using the χ2 test, independent t-test, and one-way ANOVA with a Scheffe test. This study conducted independent t-tests for comparison of the between-group adjusted mean difference of the pretest and posttest scores. The influence of the dependent variables on self-directed learning readiness and self-esteem was measured using a stepwise multiple regression method. Among the two models in the practicum, the flipped-mastery contact model (FMCM) showed higher self-directed learning (SDL) readiness and professor–student interaction than those of the flipped-mastery untact model (FMUM) after the clinical practicum was completed. The three influencing factors of SDL readiness were FMCM, learner motivation, and ward friendliness, with an explanatory power of 31.6% (F = 13.96, p < 0.001). Learner motivation, professor–student interaction, and ward friendliness influenced self-esteem, with an explanatory power of 54.7% (F = 34.86, p < 0.001).

show abstract

“…The EFA results of the rst phase of the investigation showed that the Kaiser-Meyer-Olkin (KMO) value was 0.975, higher than 0.6, and the result of Bartlett's test was signi cant (χ2 = 46123.739, p < 0.001), both of which indicated a strong correlation among the items; the data were applicable for EFA [44,45].…”

Section: Exploratory Factor Analysis and Research Hypothesesmentioning

confidence: 91%

A Human Resource Development Strategy for Primary Health Care: an Exploratory Study of Mixed Methods

Jia¹,

Jiang²,

Yu³

et al. 2021

Preprint

View full text Add to dashboard Cite

Background: The serious shortage of primary health care (PHC) providers is a common issue in the health reforms worldwide, including in China. The government of China have proposed that encouraging and guiding qualified medical personnel to work in primary medical and health care institutions (PMHCIs) is an effective way to improve the overall quality and efficiency of PHC, but it has not produced good results. The problem of insufficient human resources of PHC has not been substantially ameliorated.Methods: Based on implicit theory and lexical approach, pre-investigation was conducted to collect the items that influence the medical personnel to seek employment at PMHCIs from the perspective of guided objects. Through a three-phase investigation of 1,160 doctors in 29 public hospitals in 9 cities, the items were categorized, and a structural equation model was established and verified to explore the interrelationship of influencing factors.Results: A total of 5 factors were rotated, including Sense of Gain (SG), Internal Organization Development (IOD), Remuneration and Development (RD), Condition of the City Where the PMHCI Is Located (CCPL), Job Responsibilities (JR) and Family Support (FS). The results of the model showed that IOD, RD, JR and FS had a significantly positive effect on the SG, whereas CCPL had no significant direct effect. In addition, the FS, RD and JR significantly mediated the relationship between the internal and external environment of the institution and the willing of medical personnel to seek employment at PMHCIs. The values of fit index indicated an acceptable-fitting model.Conclusion: Family, remuneration, individual development, and job responsibility are closely related with the willingness of medical personnel to seek employment at PMHCIs, and the internal and external environment of PMHCIs is also an important factor. Based on this, targeted measures can be proposed to promote the development of PHC providers.

show abstract

Using Exploratory and Confirmatory Factor Analysis to understand the role of technology in nursing education

Cited by 66 publications

References 66 publications

Determinants of household vulnerability to food insecurity during COVID-19 lockdown in a mid-term period in Iran

Determinants of household vulnerability to food insecurity during COVID-19 lockdown in a mid-term period in Iran

Factors Influencing SDL Readiness and Self-Esteem in a Clinical Adult Nursing Practicum after Flipped Learning Education: Comparison of the Contact and Untact Models

A Human Resource Development Strategy for Primary Health Care: an Exploratory Study of Mixed Methods

Contact Info

Product

Resources

About