scholarly journals Factorial invariance of the Adult State Hope Scale

2014 ◽  
Vol 40 (1) ◽  
Author(s):  
Petrus Nel ◽  
Adré Boshoff
Keyword(s):  
Factor Analysis ◽  
Positive Psychology ◽  
Exploratory Factor Analysis ◽  
Quantitative Research ◽  
Factorial Invariance ◽  
Measuring Instruments ◽  
Model Parameters ◽  
Cross Sectional ◽  
And Gender ◽  
The Impact

Orientation: Given the interest in the impact of positive psychology on employees, it is imperative to use reliable and valid instruments to operationalise positive-psychology constructs. One such construct is hope.Research purpose: The purpose of the study was to assess the degree of factorial invariance across race and gender by using a sample of aspiring chartered accountants.Motivation for the study: Previous research on the hope construct and associated measuring instruments have been conducted, using homogenous samples from Westernised cultures. Researchers need to be careful to assume that hope looks and behaves in exactly the same manner across cultures and groups.Research approach, design and method: A cross-sectional quantitative research design was used. A sample of 295 aspiring chartered accountants participated in the study. Exploratory factor analysis was used to determine the degree of factor similarity across groups, utilising Tucker’s coefficient of congruence. To supplement the exploratory factor analysis, a series of increasingly restrictive multi-group analyses were conducted to test the invariance of model parameters across the groups.Main findings: No significant differences were found in the factor patterns for the agency and pathways factors for (1) the white and designated groups and (2) females and males.Practical/managerial implications: Evidence related to factorial invariance was found. This should inform researchers and practitioners that both pathways and agency look similar across racial and gender groups.Contribution/value-add: Researchers are urged to use various statistical techniques, in combination, to determine the degree of factorial invariance across groups.

scholarly journals Factor Analysis of Social Support for Hepatitis-C Patients in Punjab

2020 ◽  
Vol 11 (4) ◽  
pp. 95
Author(s):  
Yasir Nawaz Manj ◽  
Falak Sher ◽  
Amjid Rehman ◽  
Qaisar Khalid ◽  
Malik Muhammad Sohail
Keyword(s):  
Social Support ◽  
Factor Analysis ◽  
Hepatitis C ◽  
Exploratory Factor Analysis ◽  
Research Design ◽  
Exploratory Study ◽  
Quantitative Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Instrumental Social Support

This exploratory study aimed to highlight the significance of social support for hepatic patients to cope with their ailments. For this purpose, the study developed and tested social support model for hepatitis C patients. The researchers used quantitative research design to conduct this study. A cross sectional survey was conducted in five district headquarters hospitals of the Punjab. Total 500 hepatic patients were interviewed in the hospitals. The results of exploratory factor analysis showed that there were three constructs of social support namely; need for social support, available social support and instrumental social support. According to the results, hepatic patients felt that they need social support in order to cope with outcomes of this disease. The study suggested that socio-emotional care must be considered while treating hepatitis-C patients. Such care helped them to cope with the challenges faced by them during the treatment of this disease.

Measuring Impact of Stress in Sandwich Generation Caring for Demented Parents

GeroPsych ◽  
2014 ◽  
Vol 27 (4) ◽  
pp. 171-179 ◽  
Author(s):  
Laurence M. Solberg ◽  
Lauren B. Solberg ◽  
Emily N. Peterson
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Social Worker ◽  
Resource Availability ◽  
Well Being ◽  
Sandwich Generation ◽  
Item Questionnaire ◽  
Significant Difference ◽  
Adult Caregivers ◽  
The Impact

Stress in caregivers may affect the healthcare recipients receive. We examined the impact of stress experienced by 45 adult caregivers of their elderly demented parents. The participants completed a 32-item questionnaire about the impact of experienced stress. The questionnaire also asked about interventions that might help to reduce the impact of stress. After exploratory factor analysis, we reduced the 32-item questionnaire to 13 items. Results indicated that caregivers experienced stress, anxiety, and sadness. Also, emotional, but not financial or professional, well-being was significantly impacted. There was no significant difference between the impact of caregiver stress on members from the sandwich generation and those from the nonsandwich generation. Meeting with a social worker for resource availability was identified most frequently as a potentially helpful intervention for coping with the impact of stress.

Are e-learning Webinars the future of medical education? An exploratory study of a disruptive innovation in the COVID-19 era

2020 ◽  
pp. 1-10
Author(s):  
Colin J. McMahon ◽  
Justin T. Tretter ◽  
Theresa Faulkner ◽  
R. Krishna Kumar ◽  
Andrew N. Redington ◽  
...  
Keyword(s):  
Deep Learning ◽  
Carbon Footprint ◽  
Quantitative Research ◽  
Survey Design ◽  
Hybrid Approach ◽  
Disruptive Innovation ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
E Learning ◽  
The Impact

Abstract Objective: This study investigated the impact of the Webinar on deep human learning of CHD. Materials and methods: This cross-sectional survey design study used an open and closed-ended questionnaire to assess the impact of the Webinar on deep learning of topical areas within the management of the post-operative tetralogy of Fallot patients. This was a quantitative research methodology using descriptive statistical analyses with a sequential explanatory design. Results: One thousand-three-hundred and seventy-four participants from 100 countries on 6 continents joined the Webinar, 557 (40%) of whom completed the questionnaire. Over 70% of participants reported that they “agreed” or “strongly agreed” that the Webinar format promoted deep learning for each of the topics compared to other standard learning methods (textbook and journal learning). Two-thirds expressed a preference for attending a Webinar rather than an international conference. Over 80% of participants highlighted significant barriers to attending conferences including cost (79%), distance to travel (49%), time commitment (51%), and family commitments (35%). Strengths of the Webinar included expertise, concise high-quality presentations often discussing contentious issues, and the platform quality. The main weakness was a limited time for questions. Just over 53% expressed a concern for the carbon footprint involved in attending conferences and preferred to attend a Webinar. Conclusion: E-learning Webinars represent a disruptive innovation, which promotes deep learning, greater multidisciplinary participation, and greater attendee satisfaction with fewer barriers to participation. Although Webinars will never fully replace conferences, a hybrid approach may reduce the need for conferencing, reduce carbon footprint. and promote a “sustainable academia”.

scholarly journals Psychometric evaluation and cultural adaptation of the Spanish version of the “Scale for End-of Life Caregiving Appraisal”

2018 ◽  
Vol 17 (03) ◽  
pp. 314-321
Author(s):  
José Manuel Hernández-Padilla ◽  
Matías Correa-Casado ◽  
José Granero-Molina ◽  
Alda Elena Cortés-Rodríguez ◽  
Tamara María Matarín-Jiménez ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Construct Validity ◽  
End Of Life ◽  
Exploratory Factor Analysis ◽  
Content Validity ◽  
Criterion Validity ◽  
Spanish Version ◽  
Validity Index ◽  
Content Validity Index ◽  
The Impact

AbstractObjectiveTo translate, culturally adapt, and psychometrically evaluate the Spanish version of the “Scale for End-of Life Caregiving Appraisal” (SEOLCAS).MethodObservational cross-sectional study. Convenience sample of 201 informal end-of-life caregivers recruited in a southern Spanish hospital. The reliability of the questionnaire was assessed through its internal consistency (Cronbach's α) and temporal stability (Pearson's correlation coefficient [r] between test-retest). The content validity index of the items and the scale was calculated. Criterion validity was explored through performing a linear regression analysis to evaluate the SEOLCAS’ predictive validity. Exploratory factor analysis was used to examine its construct validity.ResultsThe SEOLCAS’ reliability was very high (Cronbach's α = 0.92). Its content validity was excellent (all items’ content validity index = 0.8–1; scale's validity index = 0.88). Evidence of the SEOLCAS’ criterion validity showed that the participants’ scores on the SEOLCAS explained approximately 79.3% of the between-subject variation of their results on the Zarit Burden Interview. Exploratory factor analysis provided evidence of the SEOLCAS’ construct validity. This analysis revealed that two factors (“internal contingencies” and “external contingencies”) explained 53.77% of the total variance found and reflected the stoic Hispanic attitude toward adversity.Significance of resultsThe Spanish version of the SEOLCAS has shown to be an easily applicable, valid, reliable, and culturally appropriate tool to measure the impact of end-of-life care provision on Hispanic informal caregivers. This tool offers healthcare professionals the opportunity to easily explore Hispanic informal end-of-life caregivers’ experiences and discover the type of support they may need (instrumental or emotional) even when there are communicational and organizational constraints.

scholarly journals Patients’ general satisfaction with the appearance of anterior maxillary teeth

2017 ◽  
Vol 74 (6) ◽  
pp. 520-525 ◽  
Author(s):  
Vlatka Lajnert ◽  
Daniela Kovacevic-Pavicic ◽  
Hrvoje Pezo ◽  
Aleksandra Stevanovic ◽  
Tatjana Jovic ◽  
...  
Keyword(s):  
Dental Plaque ◽  
Negative Influence ◽  
Cross Sectional ◽  
Age And Gender ◽  
Tooth Shape ◽  
General Satisfaction ◽  
Anterior Teeth ◽  
Dental Appearance ◽  
And Gender ◽  
The Impact

Background/Aim. Dental appearance plays an important role in practically all personal social interactions. The main factors that define the dental appearance are tooth colour, shape and position, quality of restoration, and the general position of the teeth in arch, especially in the anterior region. The aim of this study was to evaluate the impact of dental status (tooth shape, fracture, dental and prosthetic restorations and presence of plaque) on patient''s satisfaction with the dental appearance, controlling for the age and gender. Methods. A total of 700 Caucasian subjects (439 women) aged 18?86 (median 45 years) participated in the cross-sectional study. Study included clinical examination and self-administrated questionnaire based on selfperceived aesthetics and satisfaction with the appearance of their maxillary anterior teeth. Results. A regression analysis demonstrated that presence of dental plaque, tooth fracture, composite fillings and crowns had significant independent contribution and were negative predictors of satisfaction with teeth appearance. Participants with presence of plaque on upper teeth (p < 0.001), fractures (p = 0.005), composite fillings (p < 0.001) and crowns (p = 0.032) were less satisfied than those without it. Model explains 12% or variance of general satisfaction with the appearance of maxillary frontal teeth (p < 0.001) and the major contributors are composite fillings (5.3%) and plaque (3.2%). Tooth shape, age and gender were not significant predictors of satisfaction. Conclusion. Satisfaction with the teeth appearance is under the influence of many factors with significant negative influence of presence of dental plaque, fractures, composite restorations, and crowns.

scholarly journals Likert scale and change in range of response categories vs. the factors extraction in EFA model

2015 ◽  
Vol 1 (311) ◽  
Author(s):  
Piotr Tarka
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Rating Scale ◽  
Likert Scale ◽  
Optimal Number ◽  
Number Of Factors ◽  
Scale Experiment ◽  
Methodological Aspects ◽  
The Impact ◽  
Selection Of

Abstract: The objective article is the comparative analysis of Likert rating scale based on the following range of response categories, i.e. 5, 7, 9 and 11 in context of the appropriate process of factors extraction in exploratory factor analysis (EFA). The problem which is being addressed in article relates primarily to the methodological aspects, both in selection of the optimal number of response categories of the measured items (constituting the Likert scale) and identification of possible changes, differences or similarities associated (as a result of the impact of four types of scales) with extraction and determination the appropriate number of factors in EFA model.Keywords: Exploratory factor analysis, Likert scale, experiment research, marketing

Factors Affecting Perceived Effectiveness of Local E-Government in Egypt

2012 ◽  
Vol 4 (1) ◽  
pp. 24-38 ◽  
Author(s):  
Hisham M. Abdelsalam ◽  
Christopher G. Reddick ◽  
Hatem A. ElKadi ◽  
Sara Gama
Keyword(s):  
Factor Analysis ◽  
Exploratory Factor Analysis ◽  
Local Governments ◽  
Regression Models ◽  
Security And Privacy ◽  
Perceived Effectiveness ◽  
Factors Affecting ◽  
Government Effectiveness ◽  
Management Capacity ◽  
The Impact

An important area of e-government research is how different stakeholders perceive the impact and the use of e-government systems on the different channels of governmental services. The objective of this article is to examine the perceived effectiveness of local e-government systems through a survey of directors in different Egyptian cities. The approach to accomplish this objective is to conduct exploratory factor analysis and regression analysis to determine what factors explain e-government effectiveness. This research adopts a model that uses the citizen-initiated contacts with government literature as a way for understanding e-government effectiveness. Results of an exploratory factor analysis reveal that e-government effectiveness is explained by management capacity, security and privacy, and collaboration. These factors were then analyzed through regression models that indicated that management capacity and security and privacy influenced e-government effectiveness. However, there was no evidence that collaboration had a statistically significant impact on e-government effectiveness. This paper fits into the theme of the special issue since it suggests strategies to better design e-government technology for local governments in Egypt through changes in security, privacy, and management capacity.

scholarly journals Issues and Impacts of the Apricot Value Chain on the Upland Farmers in the Himalayan Range of Pakistan

2019 ◽  
Vol 11 (16) ◽  
pp. 4482 ◽  
Author(s):  
Rakhshanda Kousar ◽  
Muhammad Sohail Amjad Makhdum ◽  
Azhar Abbas ◽  
Javaria Nasir ◽  
Muhammad Asad ur Rehman Naseer
Keyword(s):  
Factor Analysis ◽  
Value Chain ◽  
Positive Impact ◽  
Sampling Technique ◽  
Poverty Level ◽  
Cross Sectional ◽  
Farming Communities ◽  
Production Policy ◽  
Matching Estimates ◽  
The Impact

The livelihood of the people in the Himalayan range of Pakistan is largely dependent on the cultivation of fruits. Apricot and apple are the major fruits of this region, which are marketed throughout the country and also exported to other countries. Due to high perishability and the poor farm-to-market infrastructure in the region, farmers are unable to get maximum returns. This study was conducted keeping in view the importance of the region and the impacts of fruits on the livelihood of the farmhands. Cross-sectional data from 200 respondents were collected through a multistage random sampling technique. Factor analysis was employed to find out the constraint in the apricot production and propensity score matching estimates were employed to see the impact of apricot production on the farming communities in the study area. The results of the factor analysis show the most important group of constraints in the growth of the apricot industry is awareness, which is an internal factor. This is followed by production, policy, and marketing constraints. The least important is processing technology. Furthermore, the results show that apricot production has a significant positive impact on decreasing the poverty level of the household, depicting a great potential for the development of resilient livelihoods.

Measuring the Meaning of Miscarriage: Revision of the Impact of Miscarriage Scale

2014 ◽  
Vol 22 (1) ◽  
pp. 29-45 ◽  
Author(s):  
Carolyn S. Huffman ◽  
Kristen Swanson ◽  
Mary R. Lynn
Keyword(s):  
Factor Analysis ◽  
Confirmatory Factor Analysis ◽  
Psychometric Properties ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Phenomenological Study ◽  
Original Structure ◽  
Factor Solution ◽  
Confirmatory Factor ◽  
The Impact

Background and Purpose: The purpose of this study was to determine a factor structure for the Impact of Miscarriage Scale (IMS). The 24 items comprising the IMS were originally derived from a phenomenological study of miscarriage in women. Initial psychometric properties were established based on a sample of 188 women (Swanson, 1999a). Method: Data from 341 couples were subjected to confirmatory factor analysis (CFA) and exploratory factor analysis (EFA). Results: CFA did not confirm the original structure. EFA explained 57% of the variance through an 18-item, 4-factor structure: isolation and guilt, loss of baby, devastating event, and adjustment. Except for the Adjustment subscale, Cronbach’s alpha coefficients were ≥.78. Conclusion: Although a 3-factor solution is most defensible, with further refinement and additional items, the 4th factor (adjustment) may warrant retention.

scholarly journals Influence of sociodemographic characteristics on different dimensions of household food insecurity in Montevideo, Uruguay

2016 ◽  
Vol 20 (4) ◽  
pp. 620-629 ◽  
Author(s):  
Máximo Rossi ◽  
Zuleika Ferre ◽  
María Rosa Curutchet ◽  
Ana Giménez ◽  
Gastón Ares
Keyword(s):  
Factor Analysis ◽  
Food Insecurity ◽  
Exploratory Factor Analysis ◽  
Factor Structure ◽  
Latin American ◽  
Household Food Security ◽  
Household Food Insecurity ◽  
Sociodemographic Characteristics ◽  
Household Food ◽  
The Impact

AbstractObjectiveTo determine the factor structure of the Latin American & Caribbean Household Food Security Scale (ELCSA) and to study the influence of sociodemographic characteristics on each of the identified dimensions in Montevideo, Uruguay.DesignCross-sectional survey with a representative sample of urban households. Household food insecurity was measured using the ELCSA. The percentage of respondents who gave affirmative responses for each of the items of the ELCSA was determined. Exploratory factor analysis was carried out to determine the ELCSA’s factor structure. A probit model was used to determine the impact of some individual and household sociodemographic characteristics on the identified dimensions of food insecurity.SettingMetropolitan area centred on Montevideo, the capital city of Uruguay, April–September 2014.SubjectsAdults aged between 18 and 93 years (n 742).ResultsThe percentage of affirmative responses to the items of the ELCSA ranged from 4·4 to 31·7 %. Two factors were identified in the exploratory factor analysis performed on data from households without children under 18 years old, whereas three factors were identified for households with children. The identified factors were associated with different severity levels of food insecurity. Likelihood of experiencing different levels of food insecurity was affected by individual characteristics of the respondent as well as characteristics of the household.ConclusionsThe influence of sociodemographic variables varied among the ELCSA dimensions. Household income had the largest influence on all dimensions, which indicates a strong relationship between income and food insecurity.

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